AOMSUC-9 Summary Report
The Ninth Asia/Oceania Meteorological Satellite Users’ Conference (AOMSUC-9) was held in Bogor and Jakarta, Indonesia from 6-11 October 2018. AOMSUC-9 was hosted and sponsored by the Indonesian Agency for Meteorology, Climatology and Geophysics (BMKG), and was co-sponsored with on-site participation by the China Meteorological Administration (CMA), the Japan Meteorological Administration (JMA), the Korean Meteorological Agency (KMA), the Roshydromet and Roscosmos of the Russian Federation, the Australian Bureau of Meteorology (AuBoM), and the World Meteorological Organization (WMO).
AOMSUC-9 began with a two-day training event at the BMKG training facility in Bogor, Indonesia that brought together participants from WMO Regions II and V. Including lecturers and attendees, 45 people from 30 countries participated in the training event; summarized later in this document. The next three days of AOMSUC-9 were the Conference portion consisting of 62 oral and 57 poster presentations and was attended by over 234 people from 44 countries. The final day of the AOMSUC-9 was a smaller, focused meeting that was attended by 50 people from across WMO Regions II and V: “The 6th meeting of the coordination group of the WMO RA II WIGOS project to develop support for NMHSs in satellite data, products and training.” A report from that meeting is to be posted on the WMO WIGOS web site.
The Conference portion of AOMSUC-9 was divided into ten oral presentation sessions and one poster session; however, the term poster session is an understatement since posters were conveniently set up in the coffee break area, which allowed for their viewing during break times as well as during a dedicated poster session. The ten oral presentation sessions covered the following topical areas:
1.Current and future meteorological satellite programs and user activities/plans within Asia/Oceania
2.Capacity building and training activities
3.Atmospheric parameters derived from satellite observations
4.Satellite Precipitation Measurements
5.Facilitation of data access and utilization
6.Application of satellite data for climate and environmental monitoring
7.Application of satellite data to weather analysis and disaster monitoring, nowcasting and forecasting (Sessions 7A and 7B)
8.Application of satellite data to numerical weather prediction
9.Land surface and ocean parameters derived from satellite observations
10.Global Spaced-based Inter-Calibration System (GSICS)
The AOMSUC-9 venue was exceptionally well suited for this major international gathering; audio visual support was outstanding, and staff was always on hand when needed. It was evident to all that an exceptional effort had been put forth by the staffs of BMKG in the planning and organizing of AOMSUC-9 and this was greatly appreciated by the conference participants. Without exception, both oral and poster presentations were of the highest quality. The conference was very successful in meeting its four major goals as set forth by Dr. Purdom in his welcoming remarks: 1) promoting satellite observations and highlighting their utility, with a focus on regional issues; 2) advancing satellite remote sensing science; 3) fostering the dialogue between satellite operators and the user community on current and future satellites; and, 4) engaging young scientists. It was evident throughout the conference that the new generation of geostationary and polar orbiting satellites are having a major impact across the globe – great scientific findings await us as we move forward with science and product development and new applications with these data: the satellite operators are meeting their commitment as we inaugurate this new era in the Space Based Component of the WMO Integrated Global Observing System (WIGOS). The participants welcomed the efforts being undertaken to introduce and utilize an unprecedented stream of new data; it was agreed that this early coordination in the generation of new products and services and the preparation for their utilization by the worldwide user community must be actively sustained. It will be a significant undertaking for the operational space agencies in the coming years foster the dream of “full utilization.” These annual conferences of the Asia/Oceania satellite community are an important part of that effort. At the end of AOMSUC-9, Dr. John LeMarshall announced that the AuBoM looked forward to hosting AOMSUC-10 in Melbourne, Australia, from December 2-7, 2019, in a format like that used for previous AOMSUCs.
Session co-chairs provided summaries of their sessions, followed by poster presentations and a list of poster presenters and titles below, while Mr. Bodo Zeschke, AuBoM and Mr. Riris Adriyanto, BMKG provided the summary of the training event, also below. The activity of the Coordination Group that met on the final day of AOMSUC-9 is an ongoing WIGOS activity; its report should be posted to the WMO WIGOS web site.
Presentations from the training event associated with AOMSUC-9 (Bogor, 6-7 October 2018) and the conference portion of AOMSUC-9 (Jakarta, 8-10 October) may be downloaded via the following link — http://aomsuc9.bmkg.go.id/presentations/.
Opening Session :
The AOMSUC-9 Conference was opened by an opening statement by Dr. James F.W. Purdom, Chair of AOMSUC International Conference Steering Committee (ICSC). He appreciated all the co-sponsors and ICSC members for their support for the various AOMSUC-9 events that included a training session, the major conference, and the joint regional meeting on satellite data utilization. He also thanked to the Government of the Republic of Indonesia for its kind facilitation to host this conference. Furthermore, he expressed his sincere appreciation to all satellite operators and data providers for promoting remote sensing science and the utilization of meteorological satellite data as well as engaging young scientist by holding the training activity on satellite data application.
In her opening statement, Director General of Indonesia Agency for Meteorology, Climatology and Geophysics, Prof. Dwikorita Karnawati mentioned that during 2017-2018 there are several typhoon events occurred around Indonesia region. It is then realized that the utilization of satellite needs to be improved. Moreover, since deep convective events are often associated with mesoscale phenomena, higher resolution of meteorological satellite data is needed, in term of both spatial and temporal resolution. And for better weather prediction specially to monitor cumulonimbus cloud activities the lightning monitoring is also necessary. She expected that through this conference, amongst satellite community in Asia-Oceania would share experience and knowledge as well as new technology to strengthen cooperation between satellite provider and their data users, in order to sustain the resilient society. Finally, she wished all conference participants a very fruitful and productive discussions, resulting follow up actions from the outcomes of the discussions.
President of WMO RA V (South-west Pacific), Dr. Andi Eka Sakya expressed a condolence to Indonesian government and colleagues for a tsunami disaster hit recently. He thanks the contribution of WMO for providing fund for RA II and RA V participant to actively participate in this conference. Real time monitoring is a must to provide better early warning. For instance, in GMAS and global navigation program, the delivering data to user community need to meet sufficient and timely service for data processing. Collaborative work between EUMETSAT, NOAA, JMA, KMA, CMA, and other satellite data providers is expected to be achieve for such purpose.
Prof. John Le Marshall, on behalf of Australian BoM expressed sadness over recent events in Indonesia, especially Palu earthquake and tsunami. He noted the very significant amount of satellite data in the Asia/Oceania region and mentioned the meeting provides a chance to establish connections to enable application of current and new technology in satellite data applications. There are several types of satellite data including IR, microwave and sounding data. There is therefore a need for capacity building and data and information sharing in satellite-related fields between satellite stakeholders.
CMA Deputy Administrator, Dr. Xinwen Yu mentioned that to fill the regional gap of satellite coverage, CMA intended to always work together with NOAA, EUMETSAT, JMA, KMA, BoM and IMD, to provide more sufficient satellite monitoring. China is also major contributor to WMO, and particularly the space-based component of WIGOS with its Polar and Geostationary satellites of Feng Yun series. CMA provides satellite data to more than 80 countries. China will continue to help Feng Yun satellite users by providing support for satellite data utilization, especially for natural disaster prevention.
Representative of EUMETSAT, Dr. Kenneth Holmlund, thanked to local organizing committee for their hard work in preparing this conference. He noted that AOMSUC has been playing an important role in strengthening collaborations between satellite providers and users. He stated that he continues to look forward to close collaboration between Asia and Europe, particularly in satellite data utilization.
On behalf of JMA, Dr. Hiroshi Kunimatsu expressed sincere appreciation to conference committee. He looked forward to talks relating to innovations from the new generation satellites, including Himawari 8/9 in this conference. He also is looking forward to meeting and communicating with all conference participants as this new generations of satellites introduce a new era of space based observing capabilities. He also was very interested in hearing users’ inputs and suggestions regarding their needs for satellite data and products.
Prof. Teruyuki Nakajima shared his experience about how natural disaster such as Typhoon hit Japan, the people help each other. Scientist also need to help each other, as collaborators when dealing issues relating to climate and global warming, global cooling due to air pollution, etc. He emphasized also that weather satellite activity is now expanded to non-meteorological fields. Important satellites that JAXA are currently operating include GCOM, GPM, GOSATRepresentative from KMA, Dr. Dohyeong Kim stated that almost every year, many natural disasters happened due to weather events. At the present various satellite data services are available include rapid-scan data service. Availability of such data services has been playing an important role in supporting DRR. For further improvement of monitoring the extreme weather phenomena, it is needed closer cooperation amongst satellite data providers and users. KMA has been providing users service which aimed to support the new generation of GeoKompsat satellites series.
Chief Scientist of JPSS Programme NOAA/NESDIS, Dr. Mitch Goldberg in his opening statement underline the importance of working together on issues about changing climate, global observation system, satellite observation. He emphasized that we need to transform the output into the application for decision making to build better and safety community.
Professor Vasily Asmus, the Director of SRC Planeta ROSHYDROMET also conveyed his condolence to the Government and people of Indonesia due to the earthquake and tsunami disasters occurred in Central Sulawesi last week. He also then stressed the importance of satellite data to disaster-risk reduction. At the end he also wishes a successful AOMSUC-9 conference.
Representative of WMO Secretariat, Dr. Werner Rudolf Balogh, Chief of Satellite Data Utilization Division, WMO Space Programme, noted that the AOMSUC with its motto “to maximize the use of meteorological satellites for sustainable socioeconomic development” played an important role for the promotion and use of the space-based observing system in Regional Associations II and V. He emphasized that the space space-based observing system community had to assure that the highly advanced capabilities of the new generation of meteorological satellites would be exploited to the fullest possible extent and help improve people’s lives. On behalf of the Secretary-General of the WMO, he thanked all sponsors of the conference and expressed his great appreciation to the Indonesian Agency for Meteorology, Climatology and Geophysics (BMKG) for hosting this important event.
Mr. Alexandr Chunusov (Roscosmos, Russian Federation) expressed an appreciation for the conference committee. He informed the conference that during next year will Russia will launch three meteorological satellites. And he hopes that the data would be useful not only meteorological institution, but also for scientist and others. And he emphasized that the AOMSUC conference is all about that (sharing and collaborations among international partnership).
Session 1 :
The session opened with a keynote presentation by Dr. James Purdom entitled “Opportunities from the New Generation Satellites”. He mentioned that currently meteorological satellites data are used to provide both qualitative and quantitative information about the atmosphere, clouds, and land and sea surface properties. Applications span temporal and spatial scales from now casting to climate. The new generation of geostationary and polar satellite, provides an opportunity as well as some great challenges. One of the major challenges is keeping a vibrant and up-to-date product stream based on solid science. Some specific areas for further investigation are numerical weather prediction, nowcasting with the new multispectral data, deeperinvestigation of multispectral imagery using Principal Component analysis, the use of system/cloud/storm relative motion as an aid to understanding the particular meteorological situation being investigated, and the use of cloud climatologies (monthly by hour or seasonally by main driving events such as el Nino or la Nina) to help understand weather systems and favored regions of convective activity. . Dr. Mitchell Goldberg from NOAA/NESDIS gave a presentation titled “Status of Current and Future NOAA Satellite Programs” that addressed the status of the Joint Polar Satellite System (JPSS) and the new generation of Geostationary Earth Observing Satellites GOES-16 and GOES-17. These satellites represent a generational change in Earth observing from Geostationary and Polar orbits. He showed some of the advanced products available from these satellites as well as products from other satellites important to Asia/Oceania including altimetry and ocean surface winds.
The next presentation, by Dr. Kenneth Holmlund from EUMETSAT was titled “Status of EUMETSAT Satellite Programmes”. In his presentation, Dr. Holmlund explained that operational meteorological satellite services from EUMETSAT are currently provided by Meteosat Second Generation (MSG) and EUMETSAT Polar System (EPS) programs. Those services will be continued through the Meteosat Third (MTG) and EPS-Second Generation (EPS-SG) programs until 2040 and beyond. For ocean monitoring purposes EUMETSAT also provides data from the Jason-satellites and operates the European Commission Copernicus Sentinel-3 mission.
The presentation by Prof. John Francis Le Marshal from AuBoM was titled “Key Satellite Activities at The Bureau of Meteorology”. He explained about the utilization of satellite data in nowcasting and its use to improve the accuracy and duration of NWP. He emphasized that satellite data are becoming more important as improvements in Numerical Weather Prediction allow assimilation of new higher spatial, spectral and temporal resolution data. He also discussed satellite data assimilation and development of satellite-based products and services.
Dr. Peng Zhang from CMA updated the conference on “CMA FengYun Meteorological Satellite Program”. He presented the current status and future plan of The Feng-Yun polar-orbiting and geostationary satellite programs and satellite missions. The capabilities of the three latest launched satellites, i.e., FY-3D, FY-4A and FY-2H were discussed in detail. Dr. Zhang announced that after the completion of its commissioning tests that FY-4A will transition into operation in May 1, 2018. The commissioning test for FY-3D has been completed and it will become operationalnear the end of 2018. FY-2H was launched on June 5, 2018 and will provide the service over IOC regions. The potential utilization over Region II and Region V from FY satellite data was demonstrated in the last part of the presentation. Combining data from each satellite gives important information for the user/scientist.
Presentation by Dr. Chu-Yong Chung from KMA titled “Status of COMS and GeoKOMPSAT-2A programs” gave an update to the KMA Meteorological Satellite Program. KMA operated the Communication, Ocean and Meteorological Satellite (COMS) for over 7 years. To improve its geostationary satellite’s products, KMA as developed Geostationary Korea Operational Multi-Purpose Satellite (GeoKompsat-2A) as a replacement for COMS; to be launched in November or December 2018. GK-2A/AMI will provide high spatial-temporal observation data, similar to GOES-R and Himawari. The KMA plans to provide satellites product such for nowcasting, typhoon analysis, and ocean, hydrology and surface applications, as well as products focusing on climatology and environmental applications.
Dr. Hiroshi Kunimatsu (Japan Meteorological Agency) addressed “the current and future Himawari Satellite Program”. The Japan Meteorological Agency (JMA) has two satellites, Himawari-8 and Himawari-9. The Himawari-8 has been in operation since 2015 while Himawari-9 is planned to take over the operational service in 2022 and to be operated until 2029. Each satellite has Advanced Himawari Imager (AHI) to increase spatial, spectral and temporal resolutions of the data. In January 2018, JMA launched a new service called “Himawari Request” in collaboration with the Australian Bureau of Meteorology allow Himawari users to request special rapid scan imagery. The aim of Himawari Request service is to support disaster risk reduction activities in the Asia/Oceania. In the 2018 JMA also started considering its Next Geostationary Satellite Program.
Prof. Vasily Asmus from Roshydromet presented a talk on the “Current State and Prospects of Russian Earth Observation Satellite Systems”. In his presentation he showed the status and future plans for Russian meteorological and environmental satellites Meteor-3M, Electro-L, Arctica-M, and the Kanopus-V series which is being developed according to Russian Federal Space Program 2016 – 2025. The goal is to create a system of identical operational meteorological satellites in morning and afternoon orbits. In the geostationary satellite arena, the Electro series is on track with its advanced sensorsand is expected to be launched in 2019-2020 timeframe, while in the highly-elliptical orbit the Arctica series is expected to be introduced in 2019.
Dr. Werner Balogh from WMO made a presentation on the current status of the WMO Space Programme. Member States of the United Nations were committed to achieve the Sustainable Development Goals (SDGs) set out in the 2030 Agenda for Sustainable Development. WMO, the United Nations system’s authoritative voice on issues related to weather, water and climate, through the WMO Integrated Global Observing System (WIGOS), was a major source of data and services supporting the implementation of the 2030 Agenda. As part of WIGOS, space-based observations provided essential information for sustainable social, economic and environmental development and for monitoring the progress towards meeting the SDGs. The WMO Space Programme was tasked with coordinating the space-based component of WIGOS on the basis of close collaboration between users, their requirements, and satellite providers. The presentation recalled the origins of the Global Observing System component of the World Weather Watch and its ongoing evolution into WIGOS and reflected on the status of the work of the WMO Space Programme. It concluded with considerations on the future of the space-based observing system as reflected in the Vision for WIGOS in 2040 and on future challenges and opportunities, considering the ongoing WMO Governance Reform, the proposed new WMO Structure and the WMO Strategic Plan 2020-2023.
Mr. Mulyono R Prabowo BMKG delivered presentation with emphasize on Satellite Data utilization to support disaster risk reduction plans in Indonesia. There are weather-related disasters in Indonesia which drive the need for early warning systems to be in place. In term of early warning, BMKG has produced satellite-based products which can be used as a reference in the provision of weather-related early warnings. These include cloud type for cloud type analysis, RDCA (Cumulus Area Rapid Developing) for the analysis of convective cloud growth, GSMAP to determine the distribution of rain. During the dry season hot spots associated with fires usually appear on the Sumatera Island and Kalimantan Island, sometimes causing smoke problems. To support satellite-based products for this event BMKG developed RGB smoke image from Himawari-8 and applied a detection algorithm, named GeoHotSpot, to cover the area in the absence of MODIS observations. GeoHotspot can detect hotspots, as is done with Terra / Aqua satellites, but with additional smoke distribution information. The geography of Indonesia is dominated by volcanoes that are formed due to subduction zones between the Eurasian plate and the Indo-Australian plate. Himawari-8 RGB is continuously used to monitor volcanic ash dispersion and issue flight safety zone near the volcano area.
On behalf of Head of LAPAN Indonesia, Dr. Halimurahman (LAPAN Indonesia) presented update on Research, Development and Applications of Meteorological Satellites for Environment, Natural Resource and Disaster Management. LAPAN has several system which provided various fuction, they are SADEWA (Satellite-Based Hydro-Meteorological Disaster Early Warning System), SEMAR (Maritime Information System), SRIKANDI (Atmospheric Composition Information System), SRIRAMA (Climate Change Information System), SIMBA (Disaster Management Information System), SIPANDA (Environment and Natural Resource Monitoring System), each system has their own information. SADEWA is one of the systems which use satelite as the main data initiation, SADEWA monitors and provides an early warning of extreme rainfall that could cause flood and landslide in Indonesia region with 5 km resolution in near real time and can distribute the information through website, e-mail, or short messages to authorities responsible for disaster management. SADEWA utilizes Himawari-8 satellite, radar, automatic weather station, and numerical prediction based on WRF model. LAPAN has started to develop the Decision Support System (DSS) based on meteorological and remote sensing satellite data for environment, natural resource and disaster management.
Session 2 :
The session opened with presentation by Dr. Hyesook Park that explained successes over the past 17 years and the recent training activities within the past year for both current and new Geostationary and Polar orbiting satellites. It includes the recent collaborative effort for Guidelines on Satellite Skills and Knowledge for Operational Meteorologists. This Global Network of Training Centres in Satellite meteorology, which are supported by Global satellite providers, are able to provide training in new satellite technology to all regions of the world. The largest and primary training focus is directed towards National Weather Services. An example of VLab collaborations includes assistance with training such as the RGB Techniques workshop that occurred this past weekend (6-7 October) at the WMO Regional Training Center of Indonesia (InaRTC).
Mr. Bodo Zeschke’s presentation evaluated the Himawari-8 training conducted by the Australian VLab Centre of Excellence over the past five years. It focused on 1) the monthly Regional Focus Group meetings as well as collaboration with other Centers of Excellence as JMA, KMA, BMKG Indonesia, NOAA/NASA; 2) effective use of online resources to facilitate satellite meteorology teaching at BMTC and within the VLab; 3) using the Socrative cloud-based learner response system within the VLab and other training and 4) Future directions and initiatives. Relevant topics include dissemination of the latest developments in effectively utilizing Himawari-8 and polar orbiting satellite data and associated resources within WMO RA V and adjacent regions, the co-hosting of Regional Focus Group meetings, the exchange of subject experts between Centers of Excellence and the use of a cloud-based learner response system during training sessions.
Presentation by Ms. Ratih Prasetya entitled “BMKG InaRTC Online Learning Activities: Challenges of Meteorological Satellite Utilization in Determining Indonesia Local Scale Weather Characteristics” explained the training design of Project Based Learning performed in BMKG InaRTC online training. The training goals, among other, are the trainees expected to be able to process Himawari satellite data using GMSLPD Application to interpret RGB satellite imagery in monitoring and identify stages of cloud development. They also have to be able to process the data (Grads and Scripts) to identify the diurnal variation of rainfall using GSMap Data. This presentation also introduced BMKG InaRTC training activities conducted by classroom, blended and online (online training and online seminar). BMKG InaRTC has been actively participating as working group, committee, trainee, coach and trainer in numerous international collaborations with WMO Education and Training Programme and other WMO RTC such as CALMET (Computer aided learning in meteorology) working group, WMO Training of Trainer, WMO CM4SH (Conceptual Model for Southern Hemisphere) Project, etc. BMKG InaRTC seeking and welcoming for any collaboration among WMO RTC through various capacity building activities particularly in developing case studies utilizing meteorological satellite application in the future.
Ms. Mary Ann Kutny’s (NOAA) report, presented by Dr. Mitch Goldberg, explained on how NOAA works with the international community through multilateral and bilateral agreements to share the Earth observation data required for weather and environmental prediction on a full, free, and open basis. NOAA’s mission is to understand and predict changes in climate, weather, oceans and coasts, to share that knowledge and information with others, and to conserve and manage coastal and marine ecosystems and resources as the Nation’s authoritative environmental intelligence agency. The highlight is the power of partnerships around the globe and particularly in the Asia-Oceania Region to advance our understanding of the planet and enhance the information available for decision makers to address pressing policy concerns such as disaster risk reduction, climate adaptation, and ecosystem management. Also highlight the importance of quantifying the value of environmental data for decision making and communicating that value to policy makers and the public.
Session 3 :
This session included four presentations covering various data assimilation topics. The presentation delivered by Ms. Hanbyul Lee (National Meteorological Satellite Center, KMA) contains description of another retrieval algorithm developed by National Meteorological Satellite Center of KMA concerning the improvement of the aerosol optical depth and dust height. The algorithm operation built on the deep learning method utilizing hyperspectral IR measurements of LEO in order by AIRS at earliest, Infrared Atmospheric Sounding Interferometer (IASI) later, and Cross-track Infrared Sounder (CrIS). She presented the preliminary results for AOD and dust height of AIRS from deep learning model in its present conditions as initial stage developments, furthermore demonstrated the validation results with CALIOP. This study brought a lot of discussions on the principle of remote sensing of aerosol optical depth which is defined at the visible wavelength. When MODIS AOD and CALIPSO aerosol height products are used in IR deep-learning, only some aerosol events can be detected. The spectral inconsistency may affect the detection of some events from IR instruments.
The second speaker by Ms. Mi Liao from National Meteorological Satellite Center of CMA explained processes, quality controls and performances of FY3C/3D GNOS data. She also reported ECMWF and DWD have assimilated the GNOS data in their NWP system. She found the processing system produced atmospheric profiles with large biases. The root cause was identified and is related to degradation of GPS L2 signals. Procedures of extrapolation and new methods are reviewed and applied to improve GNOS data quality. She stated that the performance illustrated by GNOS is now as good l as GRAS, especially at atmospheric levels from 15 to 35 km. Moreover, with the new L2 extrapolation, GNOS data is suitable for assimilation into NWP system.
The third study presented by Mr. Muhammad Rezza Ferdiansyah, (BMKG Indonesia; Tokyo Institute of Technology, Japan), focused on investigation on the potential of Thermal Image Velocimetry (TIV) to detect atmospheric flow at the near-surface levels, approximately below 850 hPa. Test results indicate that TIV-derived wind vectors can provide 2-dimensional information of atmospheric flow within the lower regions of the ABL.
The final presentation is about estimation of surface solar radiation using infrared canal data by Ms. Rikha Rizki Mahmudiah, STMKG, Indonesia. Total radiation data was obtained from the corrected CMP3 pyranometer and gun bellani. Monthly RAD data is better than annual and BINER RAD. Additionally, he concludes that satellite observation data is able to be utilized in predicting the value of radiation on the surface. Terry Nakajima recommend the study use the AHI visible channels to retrieve the surface radiation with better accuracy.
Five posters addressed the theme “Atmospheric Parameters derived from Satellite Observations”, including: 1) Background Optical Depth Correction to Improve Aerosol Retrieval from Himawari-8 over Urban Areas in Indonesia by Risyanto (LAPAN); 2) Cloud Top Height Retrieval for FY-4A, a Next-generation Geostationary Satellite of China by Zhonghui Tan (National University of Defense Technology); 3) Analysis of Aqua, AVHRR, and Terra Satellite Imagery based on Surface Mooring Data using SST Parameter by Adji Syarifah H.L (STMKG); 4) Interpretation of Storm Track Detection and Wind Intensity using Multi-high Resolution Satellite Imagery: a Case Study of Dahlia Tropical Cyclone by Ejha Larasati (STMKG); and, 5) Application of the New Generation Geostationary Meteorological Satellite for the Solar Energy Engineering by Hiroshi Kunimatsu (JMA).
Session 4 :
The session was opened by Dr. Mark Anthony Broomhall’s (BoM, Australia) presentation entitled “Towards a Blended Australian Rainfall Product: Evaluating Satellite Convective Rainfall”, evaluated a satellite convective rainfall retrieval method over Australia for inclusion in a multi-source blended rainfall product. His presentation described several challenges faced for combining the data from some rainfall retrieval method into a single seamless rainfall product. The current BoMCRS convective rainfall product is adequate at the medium and broad scales but lack skill or information at the fine spatial scales (room for improvement) but this is not unexpected. CDF matching provides a means to correct the satellite-derived rainfall data. Some works is required to determine at what spatial scale does the structure from the radar-derived rainfall comparison remain viable, and what sources might comprise the ideal set for rainfall blending.
Ms. Yu-Ri-Lee (Yonsei University South Korea) in her presentation entitled “GEO-KOMPSAT-2A AMI Algorithms for Precipitation Products: Status and Ongoing Works” discussed retrieval results and the status and ongoing works of the algorithms for precipitation and quantitative precipitation nowcasts (QPN) for the Advanced Meteorological Imager (AMI) onboard the GEO-KOMPSAT-2A (GK-2A). The QPN algorithm estimates the 3-h potential accumulated rainfall (PAR) for a very-short-range forecast using extrapolation and then calculates the probability of rainfall (POR) during the same time period. A Bayesian approach has the advantage of using multi-channel brightness temperatures simultaneously and utilizing the probability of rainfall reserved in the a-priori databases. Comparisons with various validation dataset (DPR, GMI, GOES-R, etc) showed that algorithms meet the designated accuracy for AMI operations. Dr. Allen Huang commented that research team should account for the microphysical processes as well as the physical processes.
The presentation entitled “Implementation of Artificial Neural Network Multi-Layer Perceptron Algorithm on Rainfall Estimation (Case Study: Heavy Rain during Dry Season on Juni 23rd -24th, 2018)” by Mr. Nanda Alfuadi (BMKG, Indonesia) reviewed the rainfall estimation using the Himawari-8 satellite and GSMaP data, which are processed with artificial neural network multilayer perceptrons (ANN-MLP) algorithms. This predominantly investigated for heavy and very heavy rain (> 50 mm/day) on the Java Island during the dry season of 2018 (23 and 24 June 2018). The study also describes the heterogeneity of the training set and how diurnal patterns data affects the estimation results generated by the ANN-MLP model. This ANN-MLP can be used as one method of rainfall estimation, but it still needs the separation process to distinguish cumuliform and stratiform rain before the training set data is formed.
Concluding Session-3, Mr. Siswanto (BMKG, Indonesia) delivered presentation entitled “Evaluation of Satellite-Based Precipitation Products in Capturing Precipitation Extremes over Indonesia” presented the evaluation of the performance from four satellite-based rainfall products i.e. CMORPH (the Climate Prediction Center (CPC) Morphing algorithm), TRMM (Tropical Rainfall Measuring Mission) 3B42v7, PERSIANN-CDR (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks – Climate Data Record) and the latest product, CHIRPS (Climate Hazards Group Infra-Red Precipitation with Station data). The other supporting data used in his research are 15 years (1998-2012) of daily rainfall data from 88 weather and eight extreme indices to characterize precipitation extremes. This presentation showed, based on spatial pattern analysis, that all products estimate Precipitation Total (PRCPTOT) well but were strongly variable for the Single Daily Intensity Index (SDII), consecutive dry days (CDD) and annual maxima of daily rainfall (RX1day). PERSIANN-CDR and CHIRPS totally fail to estimate R50mm and RX1 day. Overall, TRMM shows the best performance for all indices and PERSIANN-CDR and CHIRPS are not recommended for monitoring precipitation extremes in Indonesia due to large bias for R10mm, R50mm, and Rx1day.
There were eight posters in “Satellite Precipitation Measurements Session”, consisting of: 1) Verification of CMORPH Rainfall Product by Febryanto Simanjuntak (BMKG), 2) Validation and Spatial Analysis through GSMAP Satellite Rainfall Distribution Data by Rino Indra Natsir (BMKG), 3) Test of GPM IMERG Final Precipitation Modeling Data Accuracy during the Rainy and Dry Seasons in Surabaya by M. Adib Azka (STMKG), 4) Evaluation Estimated Rainfall with Himawari Satellite Data using CST and CSTm Methods in Bangka Island by Bimo Satria N. (STMKG), 5) The Development of Rainfall Estimation Model using Himawari-8 and GPM Multitemporal Meteorological Satellite Imageries in West Java Province by Fajar Dewangga (UGM), 6) Utilization of Satellite Imagery to Estimate Rainfall using Modified-INSAT Multispectral Rainfall Algorithm Methods by Bayu Nugraha (STMKG), 7) Microwave Rainfall Retrieval for GPM over the Korean Peninsula by Jun Dong Park (KMA), and, 8) Impact of ENSO and ENSO Modoki on Rainfall Variability in Indonesia by Yessi Utami (IPB).
Session 5 :
Speakers in this session presented software tools for data processing and visualization and products and applications of new generation meteorological satellites, which facilitate data access and utilization for end-users.
Mr. Mikael Rattenborg (WMO) presented how WMO is supporting its Members to ensure operational access to and use of satellite data and products. The overall framework for data and product exchange among WMO members is the WMO Information System (WIS) which complements the WMO Integrated Global Observing System (WIGOS) and the WMO Vision is that the Satellite Data and Products become fully integrated in the WIS. Regional Satellite Data Requirements Groups have been established and are tasked with preparing data requirements documents for each Regional Association with the support of National Meteorological and Hydrological Services (NMHSs). To improve the timeliness of data availability from LEO Satellites, the DBNet community has been set up and the use of direct readout is promoted as it provides users access to the full set of data generated by the LEO satellites. WMO urged the LEO satellite operators (USA, EUMETSAT, China, Russia) to strengthen their support to the direct readout community. Advanced cloud technologies are being implemented in several WMO regions to provide access to data from new satellites, but due to the digital divide not all WMO members can currently benefit from these efforts. WMO therefore urges the satellite operators to coordinate these efforts through CGMS to enable all WMO members to benefit fully from the new generation of satellites. The WMO Space Programme website offers the Satellites User Readiness Navigator (SATURN) to prepare users for the new generation of meteorological satellites as well as databases with information on products and processing and visualization tools.
The presentation brought by Dr. Jordan Gerth (University of Wisconsin-Madison USA) introduced how SIFT (Satellite Information Familiarization Tool) that’s developed by US National Weather Service is able to visualize Himawari and GOES-R imagery. SIFT is open source, freely open, and today become the primary learning software for the foundational and applications training exercises on geostationary weather satellite as part of the formal NWS training program.
Presentation by Dr. James Purdom on behalf of Dr. Jamese D. Sims (NOAA NESDIS) explained about the updates on the status of GOES-16 and GOES-17 products as well as new applications and decision aids. The first satellite in the GOES-R Series was launched November 19, 2016 (now GOES-16) and is currently located in the GOES-East position. GOES-S (now GOES-17) was launched March 1, 2018 and is currently undergoing Post-Launch Testing. The GOES-R provide imager data five times faster with four times the spatial resolution and three times as many spectral bands than does legacy GOES.
Ms. Jessica Braun (CIMSS USA) brought updated information on satellite processing tools, named CSSP Geo (The Community Satellite Processing Package for Geostationary Satellites. CSPP Geo software includes support for Himawari-8, GOES-16, and GOES-15. The CSPP Geo GEOCAT Level 2 software package generates Level 2 products using GOES-R algorithms adapted for the Advanced Himawari Imager (AHI) on Himawari-8 and GOES Variable (GVAR) on current operational GOES. GEOCAT supports both AHI HimawariCast (HRIT) and HimawariCloud (HSD) formats. The entire suite of CSPP Geo software package and the current status of the project are explained comprehensively.
In the following presentation, Prof. Kathlen Strabala (SIMSS/SSEC University Of Wisconsin SSEC USA) introduced another version of CSSP applied to LEO satellite data. Polar orbiter meteorological satellite itself provides much useful information from land, ocean, and atmosphere. In order to facilitate the use of the satellite data, NOAA/NASA Joint Polar Satellite System fund CSPP to provide stand-alone science software for creating calibrated/geolocated VIIRS, CrIS and ATMS Sensor Data Records (SDRs) as well as a number of level 2 science data products. The global CSPP DB product environmental applications including the VIIRS Day/Night Band operational use by the US National Weather Service (NWS) forecasters are a really good example to introduce the use of CSSP LEO Software.
Dr. Xiaohu Zhang (National Meteorological Satellite Center, CMA, China), presented the status and utilization of Fengyun Geostationary Satellites. He discussed the operational status of FY-4A, the first in a series of the China’s second-generation meteorological satellites and its products, data services and the available user training. The satellite carries advanced payloads and makes critical contributions to enhance the accuracy of weather forecasts through improvements in numerical weather prediction. The final satellite in the FY-2 series, FY-2H, is presently in its four-month in-orbit testing phase. China will freely distribute satellite data and products to international users, update CMACast reception stations free and provide technical training.
Prof. Song Yan Gu (National Meteorological Satellite Center, CMA, China), presented applications of FY-3 satellite products for weather and climate analysis and for disaster risk reduction. The FY-3 series of satellites offers improved spatial, temporal and spectral resolution as well as improved spectral coverage. This and the improved data analysis capabilities allow to support an expanding field of application. The presentation provided examples of Typhoon analysis applications, environment disaster monitoring, and climate change research. FY-3 will also support China’s belt and road initiative.
Dr. Kim Taehyun (National Meteorological Satellite Center, Korea Meteorological Administration, South Korea) discussed how KMA is using Himawari-8 data to prepare for the operational use of GEO-KOMPSAT-2A, the first in a series of new generation meteorological satellites. GEO-KOMPSAT-2A is expected to be launched in November 2018. NMSC is developing algorithms to produce high-resolution L2 data of GEO-KOMPSAT-2A and testing algorithms and product generation, using Himawari-8 satellite data. The imagers on-board the Himawari satellite and on-board GEO-KOMPSAT-2A have similar specifications of channels. The level 1 and level 2 products will be available to NMHSs and support a wide range of applications.
Ms. Shin Ah-Young (National Meteorological Satellite Center, Korea Meteorological Administration, South Korea) presented the data service plan for GEO-KOMPSAT-2A and the various methods for disseminating Geo-KOMPSAT-2A data for users. Ultra-High/High/Low-Rate Information Transmission (UHRIT/HRIT/LRIT) broadcasts will be available to registered users similar to the existing HimawariCast service. This will be complemented by web-based data services, similar to the HimawariCloud services provided by Japan Meteorological Agency (JMA). Data service will be provided starting with the end of in-orbit-test (IOT), which is presently anticipated to for the early second half of 2019.
Dr. Won Chan Jung (ETRI, South Korea) described the overall ground segment of GEO-KOMPSAT-2A and the facilities for receiving, processing, analyzing, managing and disseminating meteorological and space weather data. The Electronics and Telecommunications Research Institute (ETRI)) is developing the ground segment since 2014. It is installed at the National Meteorological Satellite Center (NMSC) of KMA. Algorithms have been developed to produce 52 meteorological products which will be used for weather forecasting and climatology research.
Session 6 :
To open this session, Prof. Teruyuki Nakajima (Japan Aerospace Exploration Agency-JAXA, Japan) delivered presentation entitled “Short-lived climate pollutant issues on the earth’s climate change phenomenon”. He explained that The Paris agreement, adopted in the UNFCCC COP21-round, set the 2 degrees target and 1.5 degrees effort of global warming after the industrial revolution. These targets mean that the society has to pay significant efforts to reduce the long-lived greenhouse gases (LLGHGs) emission. Another problem is that the notable reduction of the surface temperature does not appear in the next two decades even with a substantial reduction of LLGHGs, because of the long lifetime of the LLGHGs. As one of other mitigation methods, a concept of the short-lived climate pollutants (SLCP), which include black carbon (BC) aerosols, tropospheric ozone, and methane, has been introduced by UNEP. According to the UNEP report for black carbon and tropospheric ozone, it will be possible to reduce the global surface temperature of about 0.5 degrees in a short period after substantial removal of SLCP emission. These are backgrounds for launching several mitigation initiatives, such as the UNEP Climate and Clean Air Coalition (CCAC). Recent new geostationary satellites, Himawari-8 and GOES-R, are useful to measure time variation of atmospheric particle loading and properties from space and a polar orbiting satellite, GCOM-C carries a Second-generation GLobal Imager (SGLI) with advanced functions of measuring polarized radiances and in multi-viewing directions. The future EarthCARE satellite will carry a High Spectral Resolution Lidar (HSRL) and a cloud profiling Doppler radar (CPR) that will provide a useful information for understanding the influence of the vertical profiles of atmospheric particles.
Prof. B.J. Sohn (Seoul National University, South Korea) in his presentation “Polarizing rain types linked to June drought in the Korean peninsula over last 20 year” discussed the results of observing a notable decreasing trend of June rainfall over the Korean peninsula in recent 20 years. The drought condition is found to be linked to the polarizing trend of rain intensity. Overall, the June drought over the Korean peninsula is found to be associated with less occurring moderate-intensity rain. This feature is interpreted as that the dominant warm-type heavy rain with a medium storm height tends to be less frequent while cold-type heavy rains characterized by taller storm and ice abundant clouds become more frequent during last 20 years. The late northwestward expansion of the North Pacific high appears to weaken the continuous moisture supply to the Korean peninsula, which is a main element of forming the warm-type heavy rain there.
Dr. Lihang Zhou (NOAA USA) with the presentation entitled “JPSS Data Products and Applications for Environmental Monitoring” discussed about on the Joint Polar Satellite System (JPSS). She mentioned that one of the JPSS supported key mission areas is to reduce the loss of life from high impact weather events while improving efficient economies through environmental information. JPSS delivers critical observations for the Nation’s environmental products and services, including forecasting severe weather and assessing environmental hazards. In the presentation the author shows the use of JPSS science data products towards environmental and disasters monitoring. The STAR JPSS product monitoring and visualization tools and applications for anomaly detection, mitigation, and science maintenance of the long-term stability of the data products, as well as environmental monitoring.
Dr. Ninong Komala (National Institute of Aeronautics and Space-LAPAN, Indonesia) concluded the session with presentation entitled “Use of OMI-AURA satellite data to analyse characteristics of ozone and UV index in Indonesia”. Her research described that the OMI sensor on satellite AURA used to observe the condition of the ozone layer in Indonesia as one of the satellite data applications in monitoring the atmospheric environment. The data of total ozone and UV Index derived from OMI AURA in the period of 2005 to 2017 is used for her research. For the results the dominant period that dominates the variation of ozone and UV index in the three regions of Indonesia is dominated by six-month, annual and QBO variations and in the equatorial region the QBO variation is more dominant than in the north and south of the equator.
There were seven posters that addressed the “Application of Satellite Data for Climate and Environmental Monitoring”. They were: 1) Assessing Climatological Characteristics of Temperature and Rainfall Variability and Its Effects Toward Malaria Incidence Across Papua and West Papua by Anistia Malinda H. (STMKG); 2) Extreme Precipitation Events and The Correlation with El Nino Southern Oscillation over Lombok Island by Fitria Nucifera (AMIKOM University); 3) Utilization of Himawari-8 and Terra-Aqua Imagery Satellite Data for Monitoring Smoke Distribution in Indonesia by Deny Pangestu (STMKG); 4) The Relationship between Spatio-temporal Variation of Urban Heat Island and Vegetation Index using Landsat 8 OLI/TIRS Imagery in Sleman Regency by Maya Indah Sari (UGM); 5) Utilization of Satellite Data for Seasonal Zone Grouping in North Maluku Region by Novi Fitrianti (BMKG); 6) The Impact of Sea Surface Temperature to The Distribution of Chlorophyll-a in Sumatera Waters (2002-2016) by Mahardiani Putri N. (BMKG); and, 7) Application of Landsat 8 OLI Satellite Imagery for Water Trophic Status Mapping of Tecto-Volcanic Maninjau Lake during Blooming Algae by Anggia Rivani (UGM).
Session 7A :
The presentation by Mr. Sangjin Lee (KMA, South Korea) overviewed updates on KMA’s product development for their second geostationary satellite (Geo-KOMPSAT-2A) which has been developed since 2013. This satellite has an AMI sensor with similar performance to Himawari-8. KMA has also been developing algorithms for 52 meteorological products derived from the satellite, and the prototype algorithms were completed in 2017. This presentation also discussed user readiness group activities through the users’ readiness process. User Readiness group’s feedback to NMSC and ETRI has also highlighted specifically the rainfall estimate and products that are suitable for Nearcast applications. Convective rainfall associated with the stability indexes derived from GK-2A proxy data for nearcast purpose was also discussed.
The Korean peninsula is usually affected by Asian dust in most seasons. Various satellite data are used for detection and tracking of the dust. Dr. Jeongho Park (National Meteorological Satellite Center – KMA, South Korea) presentation showed how Dust RGB images derived from Himawari-8, GOES-16, etc. also can be used for dust monitoring. Dust RGB images describe the change of dust areas, density and movement according to the clouds system more vividly and easily compared to the derived products such as Aerosol Index (AI) or Aerosol Optical Depth (AOD) from COMS. It was found that there are differences in dust distribution between satellite-derived images and surface observations. This presentation showed cases with 10 times more Asia dust than usual during 2017 and analysis and comparison than were reported using RGB imagery products and surface-based PM 10 data. Time and location of dust events with updraft and downdraft motion information were also included in the analysis to assist the interpretation of the differences between AOD and PM 10.
Dr. Mitchell D. Goldberg (NOAA, USA) addressed the use of data from both the new generation of geostationary satellites (GOES-16 ABI and Himawari-8), along with polar orbiting data from JPSS for the analysis and short-term forecasting of surface flooding and fires. The talk examined and provided the interpretation of several key satellite bands useful in detecting surface flooding and fires and discuss their strengths and weaknesses. Imagery from real flooding and fire events were shown to illustrate the principles presented in the talk. CMA/NOAA pilot study on flood initiative was also discussed with a goal of generation and distribution of flood maps operationally to support the international community. CMA operational flood maps were discussed as part of capacity building activities. Invitation was also given to take part in this international capability building pilot study for flood map initiative. VIIRS derived flood index were being used by the Federal Emergency Management Agency as a proving ground activity. Software is available from Dr. Goldberg and visualization using RealEarth were mentioned as a useful tool for users. VIIRS RGB images that can enhance flood area were also discussed combining with GEO and composite with longer time window (~45 minutes). GEO/LEO blending flood examples were also highlighted as a powerful way to enhance the flood map operationally. In preparation for the landfall of category 3 Hurricane Michel, the speaker has shown FEMA has created vulnerability index map to support disaster mitigation.
A presentation by Dr. Mark Anthony Broomhall (Bureau of Meteorology, Australia) showed production of Corrected True-Color Imagery for the Advanced Himawari Imager as a cooperative research between BOM and CIRA. The image produced after Rayleigh scattering effect removed and other correction performed are demonstrated. The resultant images look colorful, visually intuitive, sharp with high contrast, and of sufficient spatial and temporal resolution that provides a unique and complementary observational tool for forecasters. A radiative transfer model used for Rayleigh correction was discussed as the foundation for this study. Other corrections such color correction, cloud top, gamma, contrast, and resolution sharping were also highlighted. The broad usage of the “corrected” images for dust/aerosol, fog, clouds, sediment, plumes, flooding, volcanic eruption detection/identification were also shown.
Mr. Bony Septian Pandjaitan of BMKG, Indonesia presentation focusedmainly on the modification of previous RGB schemes for night time cloud microphysics which had previously had some difficulties in detecting night time convection over tropical region. The modification utilizes the infrared and water vapor channel. The scheme tested on Cempaka and Dahlia tropical cyclone case and the results showed the new scheme could show a distinction between severe and non-severe regions. Specifically, RGB technique is overviewed with the adaptation of WMO recommended schemes with problem of current RGB products for monitoring the convective cloud raised. Various channel combinations (IR10.4-WV6.2, IR3.9-IR10.4, IR10.4-12.3,) used to highlight tropical cyclone were discussed. New composited images using different combinations of channel differences were developed and results demonstrated. Modified RGB vs. Night Microphysics RGB products were compared and differences were discussed with positive identification of convection.
The presentation by Dr. James F.W. Purdom (CIRA, Colorado State University USA) addressed the development and evolution of deep convection using the new generation of geostationary satellite data. It focused on the role of thunderstorm outflow boundaries and their importance in forcing new convection. It showed how this process lead to the development of convection that may vary from weaker air-mass thunderstorms to severe thunderstorms storms, depending on the strength of upper-level forcing. Organized convection and its interaction with the environment on scales of a few tens of kilometers and how that coupled with the updraft dynamic formed the foundation of this presentation. Outflow boundary associated with convection event 3-D relationship was discussed. A full day of animation depicting convection event occurred throughout the time was used to interpolate the dynamic of the storm system with concept of organized convection, vorticity, differential heating, outflow, shear, forming mechanism and other thermal and dynamical processes. By leveraging the wealth of high temporal satellite multiple spectral data speaker also recommended scientists and students to conduct academic research to further the deep understanding of the convection that are critical to our understanding and forecasting of the storm events.
In the next presentation, Mr. Yusuke Ioka (NMSC JMA, Japan) reported the development on Convective Cloud Information (CCI) products which provides the information of cumulonimbus area, mid/low cloud unknown area, and Rapid Developing Cumulus Area (RDCA) for aviation safety application. The products generated from Himawari-8 full disk scan every 10 minutes. RDCA product is an element of CCI, which detects rapidly developing convective cloud area earlier than ground-based weather radar observation. This presentation also introduced the algorithm of RDCA product and presented some case studies around Indonesia region.
Study of RDCA detection, detail detection parameters, and flow of detection in “cold”, “bad”, and “Indonesia”, and “south Asia” cases were highlighted by comparison with radar echo measurements. Validation of RDCA was also given and extended area CCI product was also make available in the dedicated SIGMET coordination group web site.
In this session 6 oral presentation were given accompanied with many relevant posters presented in the poster session. The presentations continued to introduce various application areas demonstrating the benefits of satellite data ranging from flood and Northerly Cold Surge to case studies and monitoring tropical cyclones.
The first presentation by Prof. Sungwook Hong about A Unique Flood Monitoring Technique based on pseudo-color RGB Imagery using Geo and Leo Satellite Observation and increasing resolution with down-scaling methods using the ‘red’ channel. This technique was developed for Geo-Kompsat 2A satellite by combining 3 bands RGB images of MODIS. The results applied to the Himawari-8 (Geo) satellite observations showed good agreement with MODIS observations.
Ms. Agita Vivi Wijayanti, from BMKG Indonesia, presented Satellite Imagery for Identifying the Track of Northerly Cold Surge. Some indicators are used to identify the active phase of Northerly Cold Surge (NCS), with an associated increase in rain intensity, especially in the Western Indonesia. Mean sea level in Siberian High, pressure gradient of Gushi and Hong Kong, meridional component of the wind over Southern China and Cross-Equatorial Northerly Surge are used to identify NCS phase from end of 2015 to the beginning of 2018. Satellite imagery, in particular data from the WV-channels for detecting dry mass due to NCS and IR data to identify cloud clusters, confirming the feature of NCS and its interaction with severe convection and tropical storms.
In the next presentation by Mr. Bodo Ivar Zeschke focused on variety of weather and atmospherics phenomena in the Australia-Pacific region. The case studies, which have been developed by the Australian VLab Center of Excellent, used Himawari-8 data and data composites to render those phenomena and combined with observation and NWP data. There would be an explanation about how to access these case studies.
Dr. Fuzhong Weng has developed an experimental product to reveal Typhoon Maria’s thermal structure and precipitation during its life span that occurred at Fuzhou province in China on July 9, 2018. He used microwave sounder data from ATMS and combined MWTS and MWHS instruments using RF techniques to generate brightness temperatures at 31.4 and 23.8 GHz onboard the US and Chinese polar orbiting satellites SNPP, NOAA-20 and FY-3D to analyze the typhoons warm core. The temperature, moisture profiles, hydrometeor profiles, and surface precipitation were retrieved using newly launched FY-3D satellite by utilizing its three microwave instruments.
The presentation by Dr. Kenneth Holmlund (EUMETSAT) gave an overview of the capabilities of the EUMETSAT and other operators satellite data for tropical storms monitoring and Numerical Weather Prediction. The cases shown demonstrated the benefits of a large set of different data from high-resolution high frequency geostationary data to polar orbiting data both from meteorological satellites and marine observations satellites like Jason and Sentinel-3. There is a wealth of information available today, but it is not all used efficiently today. With the advent of new generation satellites the data volumes will further increase with additional challenges in how to best exploit the data.
Mr. Rion Suaib Salman (BMKG) presented the Study of Cyclogenesis for Three Tropical Cyclone in West Pacific (TC HAIMA, MERANTI and NEPARTAK) with single analysis channel WV and RGB air mass technique. Himawari-8 data was used to observe the cyclone formation with high accuracy before the storms entered the tropical cyclone phase. WV and RGB Channel were used to describe three important features (frontal cloud band, the upstream perturbation and emerging layered cloud) and also to identify temperature and its moisture during the cyclogenesis phase. The results showed that weather satellites are helpful to describes its formation by using those three important features.
There are 28 posters under the topic of Application of satellite data to weather analysis and disaster monitoring, nowcasting and forecasting. Hayu Nur Mahron (STMKG) and Debora Truly (BMKG) outlined the use of satellite data to identify volcanic ash from mount eruption cases in Indonesia. While many posters and focused on atmospheric dynamic analysis and cloud identification using satellite data. These papers resulting on important conclusion that can be used for supporting weather forecast. Some posters also gave an overview of extreme weather analysis, while Kiki (BMKG) gave forecast verification result using GSMaP data.
The presentation by Mr. Khafid Rizki Pratama (STMKG, Indonesia) examined the effect of assimilation of high-resolution SST data, that is derived from the Advanced Very High-Resolution Radiometer (AVHRR) satellite and low-resolution SST data that can be obtained from the Advanced Microwave Scanning Radiometer (AMSR-E) on the EOS satellite. He used the WRF-SST atmospheric model and the FVCOM ocean model in this study. He found that by using AVHRR based high resolution SST data a more accurate depiction of modelled SST was produced.
The presentation by Dr. Allen Huang (University of Wisconsin-Madison USA) explained the utilization of Artificial Intelligence and Big Data for satellite data application innovation. This was achieved by combining weather and environment Big Data with sophisticated mathematical algorithms, high-performance computing power, and deep learning analytics. He cited a number of contemporary references about the power of AI and discussed computation limits with conventional NWP. He also discussed the role of AI in the complete observation to forecast and warning process. Examples of the application of AI were provided.
The following presentation, by Mr. Agie Wandala (BMKG, Indonesia) explained the application of artificial intelligence for weather prediction and for early warning based on remote sensing technology. By combining various algorithms in machine learning, several classification and regression products are obtained for extreme weather cases in Indonesia. One of the main objectives of this study was to get a short-term prediction of high impact weather events through the use of weather satellites by using multi-technical artificial intelligence algorithms. This study was associated with a number of compelling examples.
Three posters was made under the “Application of Satellite Data to Numerical Weather Prediction” topic, including: 1) Impact assessment of Himawari-8 atmospheric motion vectors on forecasts over East Asia by Dae-Hui Kim (KMA), 2) Validation of WRF’s Cloud Occurrence Using Himawari-8 Satellite’s Cloud Observation over Indonesia by Farid Lasmono (LAPAN), and, 3) Implementation of Machine Learning using Himawari Infrared Data on the Very Short Range Precipitation Prediction and Its Application to Meteorological Early Warning System over South Sulawesi Region by Yosik Norman (BMKG).
Ms. Anistia Malinda Hidayat (School of Meteorology Climatology and Geophysics / STMKG, Indonesia) presentation entitled “Mapping Air – Sea Parameter Risk Index Based on Meteorological Review to Support the Operational Work of Sea Tol Road Program”. The talk examined the incidence of malaria varies as a function of temperature and rainfall variability during the period of 2012 to 2016 in Papua and West Papua. She showed the tendency of malaria incidence in Papua is closely related to the variation of rainfall with a correlation value of 0.58, while the tendency of temperature in West Papua is closely related with variations in malaria incidence with a strong correlation value of -0.95.
The presentation by Mr. Abdul Hamid Al Habib (STMKG, Indonesia) described the hydro-oceanographic parameters (sea surface temperature, ocean currents, and salinity) analysis and their potential effects on pearl oyster cultivation based on seasonal patterns in the Lombok Sea, West Nusa Tenggara. Each hydro-oceanographic parameter was classified using a scoring method, where each parameter will be overlaid together to retrieve highest score that indicated the most potential area for pearl oyster cultivation.
The presentation by Mr. Alpon Sepriando from BMKG, Indonesia entitled “Rapid Hotspot Detection using Himawari-8 (GeoHotspot)” described the use of Himawari-8 satellite to detect and monitor active fires. Hotspot detection using Himawari-8 was obtained using contextual algorithms and thresholds, including day and night time, while the solar zenith angle was determined using the 2.25 μm band reflectability to remove sunglint, and the cloud filter used a 265 K limit for the 10.3 µm band. Himawari-8 generally showed similar hotspots compared to Terra, Aqua and Suomi NPP. Thus, Himawari-8 showed the ability to monitor real time hotspots.
4 posters presentation in this session were focused on “Marine Parameters”. They were: 1) The Utilization of the JASON-2 Satellite Sensing Significant Wave Height Value and Buoy Observation to Maximize the Forecast of the Wavewatch-III Wave Model by Rizky Fadhillah Pratama Putra (STMKG), 2) Identification of Potential Location For Mariculture Developments Based on Oceanographic Conditions and Seasons in North Maluku (Case Study of Seaweed, Pearl Oysters and Groupers by Tesla Kadar Dzikiro (STMKG), 3) Review of Sea Parameters Condition at Bau Nyale Ceremony At Lombok (Case Study February 2017) by Rahma Fauzia Yushar, and, 4) Interannual Variability of Coastal Upwelling in Coast of Java by Dary Asád Fadhil (IPB).
Session 10 “Global Spaced-based Inter-Calibration System (GSICS)” was chaired by Dr. Mitch Goldberg (GSICS EP Chair, NOAA) and co-chaired by Mr. Andersen Panjaitan (BMKG). The four oral presentations highlighted the importance of GSICS. Since 2005, the aim of GSICS has been and continues to be capacity building, whereby each instrument operator become experts in satellite calibration and together in the GSICS framework work in using common approaches for characterizing their instrument data. GSICS now provides an annual report where each instrument operator reports on instrument performance against agreed upon references using a common template.
The first presentation was given by Mr, Yusuke Yogo of JMA on the Himawari-8,9/AHI Radiometric Calibration and Validation using GSICS: Their Importance and Benefits. JMA operates two meteorological satellites, Himawari-8 and 9, and implements the Cal/Val methods discussed in GSICS to their observation data operationally. The presentation discussed the importance of satellite radiometric calibration for users and the outline of Cal/Val methods implemented by JMA and other GSICS members, particularly the method by comparing between observations and calculated values derived from a radiative transfer model.
The second talk was by Dr. Alexander Uspensky of Roshydroment and presented information on Cal/Val website developed by SRC “Planeta” (Roshydromet). The SRC “Planeta” contributes to GSICS as a Processing and Research Center for Russian Meteorological Satellites including polar-orbiting “Meteor-M” series and geostationary “Electro-L” series. It should provide users with consistent well-calibrated measurements from operational Meteor-M and Electro-L satellites as well as the results of satellite-based products validation. The Cal/Val website of SRC “Planeta” is divided into three sections. The first one, called “Calibration-intercalibration issues” provides information on the on-board calibration monitoring and post-launch calibration (inter-calibration) products for basic instruments of both polar-orbiting Meteor-M satellites and geostationary Electro-L satellites. This applies to the imaging/sounding instruments of current and future “Meteor-M” satellites (VIS, NEAR-IR and IR channels of MSU-MR, Infrared Fourier Spectrometer IKFS-2, Microwave Imaging Sounding Radiometer MTVZA-GY, Onboard Radar Complex BRLK) and imaging instrument of Electro-L satellites (VIS and IR channels of MSU-GS). The second section “Validation” contains the validation results for the products derived from measurements of “Meteor-M” and “Electro-L” instruments listed above. The validation is being performed for the following products: cloud cover and precipitation parameters, sea surface temperature, vertical profiles of atmospheric temperature and humidity, wind vectors, sea level wind, total ozone in the atmosphere, total content of carbon dioxide and methane in the atmosphere, snow cover parameters, boundaries of the Arctic sea ice cover distribution. The third section is the Data Archives that contains files of “Meteor-M” and “Electro-L” basic instrument measurements together with measurements of some foreign satellites collected for several pre-selected test polygons.
The third talk was given by Mr. Xiuqing Hu of CMA on the use of GSICS to evaluate FY3D, which was launched on November 15, 2017 in the 1400 afternoon orbit. The key performance evaluation of FY-3D MERSI-II and HIRAS including the spectral calibration, radiometric calibration and geolocation accuracy was conducted using CMA GSICS platform. The GSICS-consensus reference instruments IASI, CrIS, MODIS and VIIRS are used to evaluate the radiometric accuracy of MERSI-II and HIRAS. In addition to this, the accurate collocation and inter-comparison between MERSI-II and HIRAS at the same satellite platform gave us several important information of their performance, especially the knowledge of HIRAS subpixel geolocation shift. Based on the above GSICS evaluation, mechanism behind radiometric calibration bias of MERSI-II and HIRAS also were found including the non-linearity, polarization effect and other parameters of the instruments. These parameters were updated several times based on comprehensive assessment and iterative validation during the commissioning test.
The fourth and final presentation in this session was given by Mr. Chunqiang Wu of CMA on the detail commission of the High-Spectral Infrared Atmospheric Sounder (HIRAS)instrument. The HIRAS is a space-borne Fourier transform spectrometer (FTS) onboard the Polar-orbiting FengYun 3D (FY-3D) satellite and is the first CMA hyperspectral infrared sounder in polar orbit. HIRAS provides measurements of Earth view interferograms in three infrared spectral bands at 29 cross-track positions, each with a 2 × 2 array of field of views (FOVs). The HIRAS ground processing software transforms the measured interferograms into calibrated and navigated spectra in the form of Sensor Data Records (SDRs) that cover spectral bands from 650 to 1140 cm-1 (Longwave Band, LW), 1210 to 1750 cm-1 (Midwave Band, MW), and 2155 to 2550 cm-1 (Shortwave Band, SW) with spectral resolutions of 0.625 cm-1, 1.25cm-1, and 2.5 cm-1, respectively. During the time of the intensive calibration and validation (ICV) period from 1 March to 31 July of 2018, the HIRAS performance, including noise, spectral frequency accuracy and radiometric uncertainty were characterized under the framework of Global Space-based Inter-Calibration System (GSICS) and the requirements of the Numerical Weather Prediction (NWP) systems. The Noise Equivalent Differential Radiance (NEdN) is estimated from the cold space, internal calibration target (ICT) and Earth view measurements. It was separated into correlated noise and un-correlated noise. To reduce the correlated noise to well below the uncorrelated noise level, the alignment of the interferometer’s stationary mirror was adjusted. As a result of the adjustment, the total NEdN values have met the specifications except for a narrow spectral region at the left end of LW band. In spectral frequency calibration, the effects of the beam divergence are corrected by the inverse of the self apodization matrices with the instrument line shape (ILS) parameters derived by using both ground thermal vacuum (TVAC) and onorbit measurements by minimizing the spectral difference between the measurements and Line-BY-Line (LBL) radiative transfer model (RTM) calculations.
One poster in this session made under this session topic by Xueyan Hou (CMA) entitled Calibration of FengYun-3D Microwave Humidity Sounder using GPS Radio Occultation data.
LIST OF POSTER PRESENTERS:
There were 56 posters presented during AOMSUC-9 covering various topics, i.e.:
1.Atmospheric parameters derived from satellite observations
2.Satellite Precipitation Measurements
3.Application of satellite data for climate and environmental monitoring
4.Application of satellite data to weather analysis and disaster monitoring, nowcasting and forecasting
5.Application of satellite data to numerical weather prediction
6.Land surface and ocean parameters derived from satellite observations
7.Global Spaced-based Inter-Calibration System (GSICS)
List of posters and presenters as shown in the following table:
|P1||Anistia Malinda Hidayat||STMKG, Indonesia||Assessing Climatological Characteristics of Temperature and Rainfall Variability and Its Effects Toward Malaria Incidence Across Papua and West Papua|
|P2||Fitria Nucifera||AMIKOM, Indonesia||Extreme precipitation events and the correlation with El Nino Southern Oscillation over Lombok Island|
|P3||Dany Pangestu||STMKG, Indonesia||Utilization of Himawari-8 And Terra Aqua Imagery Satellite Data for Monitoring Smoke Distribution in Indonesia (Case Study West Kalimantan Forest Fire On 3 July 2017)|
|P4||Maya Indah Sari||UGM, Indonesia||The Relationship Between Spatio-Temporal Variation of Urban Heat Island and Vegetation Index Using Landsat 8 Oli/Tirs Imagery in Sleman Regency|
|P6||Syaiful Muflichin Purnama||LAPAN, Indonesia||Utilization of Automatic Identification System (AIS) Sensor from LAPAN A3 / IPB satellite for Foreign Ship Location Monitoring in Exclusive Economic Zone (EEZ)|
|P7||Mahardiani Putri Naulia Batubara||BMKG, Indonesia||The Impact of Sea Surface Temperature to The Distribution of Chlorophyll-A In Sumatera Waters (2002-2016)|
|P11||Zenita Endriani||BMKG, Indonesia||Analysis of Tropical Cyclone Dahlia Cyclogenesis Using Himawari Satellite Imagery|
|P12||Hayu Nur Mahron||STMKG, Indonesia||Identification and Monitoring of Volcanic Ash (and SO2) Distribution Using RGB Method of IR8.6 Satellite Himawari-8 Channel (Case Study of Mount Agung Eruption July 2, 2018)|
|P13||Debora Truly||BMKG, Indonesia||Analysis of The Impact Eruption of Mount Agung Based on Satellite Data (Case Study: November 25th 2017, June 27th 2018, and July 4th2018)|
|P14||Firman Setia Budi||BMKG, Indonesia||A Case Study of Identification and Understanding Gravity Waves Using High-Pass Filter Water Vapor Band and Numerical Model|
|P15||Irina Kuzhevskaia||TSU, Russia||Assessment of in-flight icing zones through the use of satellite data|
|P17||Rif’at Darajat||BMKG, Indonesia||Determination of Cloud Top Temperature Thresholds using Supervised Method in Multi-temporal Satellite Data for Weather Classification|
|P18||Olga Nechepurenko||TSU, Russia||A case study of cold-season convection: a remote sensing perspective|
|P20||Immanuel Jhonson Arizona Saragih||STMKG, Indonesia||Convective Cloud Distribution Monitoring Using Cloud Convective Overlays and Red-Green-Blue Convective Storms Methods on Himawari-8 satellite on The Eastern Coast of North Sumatra (case study of heavy rain events in 2016-2017)|
|P21||Kiki Ekasiwi||BMKG, Indonesia||Verification of Extreme Weather Early Warning Using GSMaP Rain Rate in Jakarta|
|P22||Sulton Kharisma||BMKG, Indonesia||Identification Weather Condition and Satellite Analysis of accident in Lake Toba on June 18, 2018|
|P24||Oky Surendra||BMKG, Indonesia||Identification and Atmosphere Dynamics Analysis at The Time Of Ice-Phenomena In Puncak, Jaya Lanny, And Nduga Regencies (Case Study Dated 1 – 10 July 2015) Using Satellite Data|
|P25||Nanda Alfuadi||BMKG, Indonesia||Diurnal Variation If Rainfall Intensity Caused by Mjo Phase 2 – 5 During Dry and Wet Season Over the Indonesian Maritimes Continents|
|P26||Yosik Norman||BMKG, Indonesia||Implementation of Machine Learning using Himawari Infrared Data on the Very Short-Range Precipitation Prediction and Its Application to Meteorological Early Warning System Over South Sulawesi Region|
|P27||Reynold Mahubessy||STMKG, Indonesia||Analysis of Hailstone at Territorial Bandung Bases Atmospheric Condition and Satellite Image|
|P28||Ricko Dwiki Yudistira||STMKG, Indonesia||Analysis of Atmosphere Conditions During Heavy Rain in Amahai, Central Maluku (Case Study: April 21, 2017)|
|P29||Ilham Fajar Putra Perdana||STMKG, Indonesia||Analysis of Atmospheric Condition during Mamuju Flood Event Using SATAID (Case Study on March, 22nd 2018)|
|P30||Gebrina Putri Guciano||IPB, Indonesia||Analysis of Drought in Sumatra During El Nino and Positive IOD Events|
|P31||Fauzan Lathif||STMKG, Indonesia||Utilization of Himawari-8 Data to Identify Tropical Cyclone Over Indonesia Territory|
|P32||Adelina Lumban Gaol||STMKG, Indonesia||The Impact of Dahlia Tropical Cyclone on Ocean and Wind Dynamic (Case Study in Sunda Strait)|
|P33||Junhyung Heo||KMA, South Korea||Optimal Interpolation of Precipitable Water Using Low Earth Orbit and Numerical Weather Prediction Data|
|P34||Diana Cahaya Siregar||BMKG, Indonesia||Rainfall Validation Based on Global Satellite Mapping of Precipitation (GSMaP) Data in Bengkulu|
|P35||Yola Ivo Wandika||BMKG, Indonesia||Study on Application of The Some Rainfall Estimation Products Based on Satellite Data in Some Points in Maluku|
|P36||Richard Mahendra Putra||BMKG, Indonesia||Increasing Rainfall Estimation of CST by Parallax Correction in Himawari – 8 Satellite|
|P37||Hyun-Goo Kim||KIER, South Korea||Solar Energy Estimator for Daejeon City (Seed)|
|P38||Annisa Fauziah||BMKG, Indonesia||The Utilization of Satellite Data to Analyse Atmospheric Condition on Pacitan Flash Flood (Case Study on November, 27-28th 2017)|
|P39||Risyanto||LAPAN, Indonesia||Background Optical Depth Correction to Improve Aerosol Retrieval from Himawari-8 over Urban Areas in Indonesia|
|P40||Zhonghui Tan||NUDT, China||Cloud top height retrieval for FY-4A, a next-generation geostationary satellite of China|
|P41||Adji Syarifah Happy Lubianashari||STMKG, Indonesia||Analysis of Aqua, AVHRR, and Terra Satellite Imagery Based on Surface Mooring Data using SST Parameter|
|P42||Ejha Larasati Siadari||STMKG, Indonesia||Interpretation of storm track detection and wind intensity using multi-high-resolution satellite imagery: A case study of Dahlia tropical cyclone|
|P43||Hiroshi Kunimatsu||JMA, Japan||Application of the New Generation Geostationary Meteorological Satellite for the Solar Energy Engineering|
|P44||Xueyan Hou||CMA, China||Calibration of FengYun-3D Microwave Humidity Sounder using GPS Radio Occultation data|
|P45||Rizky Fadhillah Pratama Putra||BMKG, Indonesia||Utilization of the JASON-2 Satellite Sensing Significant Wave Height Value and Buoy Observation to Maximize the Forecast of the Wavewatch-III Wave Model|
|P46||Tesla Kadar Dzikiro||STMKG, Indonesia||Identification of Potential Location for Mariculture Developments Based on Oceanographic Conditions and Seasons in North Maluku (Case Study of Seaweed, Pearl Oysters and Groupers|
|P47||Rahma Fauzia Yushar||BMKG, Indonesia||Review of Sea Parameters Condition at Bau Nyale Ceremony at Lombok (Case Study February 2017)|
|P49||Febryanto Simanjuntak||BMKG, Indonesia||Verification of CMORPH Rainfall Product in North Aceh, Batam And Sorong|
|P50||Rino Indra Natsir||BMKG, Indonesia||Validation and Spatial Analysis GSMaP Satellite Rainfall Distribution Data In Kendari Southeast Sulawesi, Indonesia|
|P51||Mukhamad Adib Azka||STMKG, Indonesia||Test of GPM IMERG Final Precipitation Modelling Data Accuracy During the Rainy and Dry Seasons in Surabaya|
|P52||Bimo Satria Nugroho||STMKG, Indonesia||Evaluation Estimated Rainfall with Himawari 8 Satellite data using CST and CSTm methods in Bangka Island|
|P53||Fajar Dewangga||UGM, Indonesia||The Development of Rainfall Estimation Model Using Himawari-8 and Global Precipitation Measurement Multitemporal Meteorological Satellites Imageries in West Java Province|
|P54||Bayu Nugraha||STMKG, Indonesia||Utilization of satellite imagery to estimate rainfall using modified-Insat multispectral rainfall algorithm methods.|
|P55||Jun Dong Park||KMA, South Korea||Microwave Rainfall Retrieval for GPM over the Korean Peninsula|
|P56||Yessi Utami||IPB, Indonesia||Impact of ENSO and ENSO Modoki on Rainfall Variability in Indonesia|
AOMSUC-9 Training Event, BMKG Training Center Campus, Bogor / 6-7 October 2018
The AOMSUC-9 Training Event was conducted at the Lecture Hall on the BMKG Indonesia Training Campus in Citeko, Bogor from the 6-7 October 2018. Including lecturers and attendees there were 45 participants to the Training Event. The audience was represented by participants from 30 countries including the list the countries here: Indonesia, Bhutan, Myanmar, Nepal, Micronesia, Kiribati, Samoa, Bahrain, Vietnam, Cambodia, Maldives, Laos, Srilanka, Thailand, Philippines, Malaysia, Brunei Darussalam, Timor Leste, Fiji, Papua New Guinea, Solomon Islands, Tonga, Palau, Tuvalu, Vanuatu, Hongkong, Singapore, South Korea, China and Russia.
The two days involved a blend of introductory presentations followed up by practical sessions. The opening address was presented jointly by the BMKG Indonesia Deputy Director General of Meteorology Mr. Mulyono Rahadi Prabowo, the WMO Secretariat representative Dr. Werner Balogh and the Chair of AOMSUC ICSC Dr. James Purdom.
First lecture of the morning sessions given by Dr. James Purdom followed this by an innovative introduction into satellite spectral bands and their applications, probing the earths limb and the tenuous earth’s atmosphere utilizing the various Himawari-8 satellite bands. Dr. Purdom’s second presentation offered a refreshing interpretation of convective development and evolution during nowcasting, emphasizing the importance of vorticity in the formation and maintenance of convection and the viewing of convective development in the storm relative frame of reference.
In the next lecture Mr. Yusuke Ioka of the Japan Meteorological Agency introduced participants to the basics of the RGB technique. The following SATAID tool exercises permitted attendees to apply this knowledge by rendering a Tropical Cyclone, a tropical fog and a low cloud event, a volcanic eruption and a fire episode within the appropriate RGB product.
The afternoon sessions as presented by Mr. Bodo Zeschke of the Australian Bureau of Meteorology built upon the earlier presentations by provided participants with practical insights into the effective use of these RGB products within the forecast process with emphasis on detecting and monitoring convective development, dust, fire and smoke and volcanic eruptions. Audience interaction was facilitated through the use of the Socrative, a cloud-based learner response system with insightful contributions by participants. Appropriate resources for further reference as archived on the Australian VLab Centre of Excellence web link were also provided.
The final session of the 1st day as presented by Mr. Andersen Panjaitan and Ms. Ratih Prasetya of BMKG Indonesia showcased the tuning of RGB products within SATAID tool for Indonesian volcanic eruption and fire case studies, once again with hands on participation by attendees.
During the first two sessions of the second day Prof. Kathy Strabala and Ms. Jessica Braun (SSEC, University of Wisconsin, Madison, USA) introduced the useful Polar Orbiter satellite data available from the USA and the open source RGB toolkits, demonstrating this on volcanic eruption and flooding case studies. The useful VIIRS Day/Night band was also presented. Audience participation was facilitated through the use of Slido audience interaction tool and it was interesting to contrast this with the Socrative cloud-based learner response system used during the previous days training.
The last two sessions focused on Korean and Chinese initiatives and developments in collecting and disseminating data from existing and future geostationary and polar orbiting satellites. Dr. Hyesook Park (KMA) presented information about Geo-Kompsat 2A, to be launched during December 2018, including satellite capabilities, data delivery and data products. Attendees gained hands-on familiarization with the KMA User Customized Image Processing Tool in viewing and manipulating satellite images, creating RGB products and the statistical analysis of the data.
Dr. Wu Xuebao (NSMC, CMA) presented the the final session of the Training Event, offering the latest information pertaining to the Chinese FY-4A geostationary and FY-3D polar orbiting satellites. The FY-4A satellite is unique in that it includes as payload a hyperspectral sounder and a lightning mapper. Useful examples of the resulting data were presented.
At the conclusion of the Training Event, BMTC teacher Mr. Bodo Zeschke presented the summary address, praising the professional delivery and the interactive and “hands on” nature of the activities during this event. Attendees were encouraged to maintain contact with presenters and fellow attendees. Attendees were encouraged to utilize the ideas and resources and to help facilitate these within their parent NMHS centres as AOMSUC ambassadors. In this way the spirit of the Training Event may therefore live on even after the conclusion of AOMSUC-9.
Result of AOMSUC-9 Training Survey for Participant :
An online survey for training attendees has been prepared for evaluation purpose regarding the topics or curriculum of the training session at AOMSUC-9. Following are summary result of the online survey by training participants.