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SPECIAL SESSIONS & WORKSHOPS


Session Code Session Title  
Special Sessions
SS01 The Asian Monsoon in a Changing Climate Details
SS02 Satellite Radar/SAR Missions for Interdisciplinary Geosciences Details
SS03 Space Agency Remote Sensing of the Earth Details
SS04 The Geologic Evolution of NE Asia Details
SS05 Data Science and Artificial Intelligence in Geosciences Details
Workshops
AS74 Mini Tutorial for Ensemble Data Assimilation and the Data Assimilation Research Testbed Details
AS75 Climate Prediction: Skills and Errors on Climate Drivers and Response, and Extremes Details

SPECIAL SESSIONS

29 June | 30 June | 01 July | 02 July

SS05 – Data Science and Artificial Intelligence in Geosciences

Mon-29 Jun 2020 | 16:00 – 18:00 | Tower D, Emerald

Conveners: Sang-Mook LEE, Seoul National University
Kenji SATAKE, The University of Tokyo
Byung-Dal SO, Kangwon National University

Alik ISMAIL-ZADEH
Karlsruhe Institute of Technology
Russian Academy of Sciences

“Data-driven Geodynamic Modelling: Success and Challenges”
Gregory BEROZA
Stanford University

“AI for Earthquake Monitoring”
Gabriele MORRA
University of Louisiana at Lafayette

“Fresh Outlook in Numerical Methods for Geodynamics”
Axel TIMMERMANN
IBS Center for Climate Physics, Pusan National University

“Dealing with Big Data in Climate Research”

SS03 – Space Agency Remote Sensing of the Earth

Tue-30 Jun 2020 | 16:00 – 18:00 | Tower D, Emerald

Conveners: Jack KAYE, NASA Earth Science Division
Dohyeong KIM, Korea Meteorological Administration - Satellite Planning Division

Pamela SULLIVAN
National Oceanic and Atmospheric Administration

“NOAA’s Current and Future Space-Based Observing System Enterprise”
Sung-Rae CHUNG
Korea Meteorological Administration

“Korean Geostationary Satellite System: Applications of New Geophysical Products from Geo-kompsat 2a and 2b”
Hyunjong OH
National Meteorological Satellite Center of Korea Meteorological Administration

“The Geo-KOMPSAT-2A Data Service”
Tsengdar LEE
National Aeronautics and Space Administration

“NASA Earth Science Division Status and Plan”

SS02 – Satellite Radar/SAR Missions for Interdisciplinary Geosciences

Thu-02 Jul 2020 | 08:30 – 10:30 | Tower D, Diamond

Conveners: Gerald BAWDEN, National Aeronautics and Space Administration
Son NGHIEM, Jet Propulsion Laboratory, California Institute of Technology
Pham Anh TUAN, Vietnam National Space Center, Vietnam Academy of Science and Technology

Shinichi SOBUE
Japan Aerospace Exploration Agency

“Japan's L-SAR Missions”
Joong-Sun WON
Yonsei University

“A CAS500 SAR Mission for Water Resource Management and Water-related Disaster Monitoring in Korea”
Thomas ESCH
German Aerospace Center (DLR)

“Global Urban Monitoring Based on Radar Satellites - with Data from Space to Informed Decisions”
Vu Anh TUAN
Vietnam National Space Center

“Introduction of Lotusat (x Band Sar) and Potential Application of Sar Data in Viet Nam”
Paul ROSEN
Jet Propulsion Laboratory

“The NASA-ISRO Synthetic Aperture Radar (NISAR) Mission: Global Observations for Interdisciplinary Science and Applications”

SS04 – The Geologic Evolution of NE Asia

Thu-02 Jul 2020 | 13:30 – 15:30 | Tower B, Lavender II

Conveners: Sang-Mook LEE, Seoul National University
Weiwei DING, Key Laboratory of Submarine Geosciences, Second Institute of Oceanography, Ministry of Natural Resources

Alexei IVANOV
Institute of the Earth's Crust, Siberian Branch of the Russian Academy of Sciences

“Timing of the Mongolia-okhotsk Ocean Closure, Collision and Post-collisional Extension”
Wenjiao XIAO
Institute of Geology and Geophysics, Chinese Academy of Sciences

“Magmatism and Deformation History Along the Ne Asian Continental Margin from Ca. 95 to 30 Ma: Possible Izanagi-pacific Ridge Subduction in the Early Cenozoic”
Tatsuki TSUJIMORI
Tohoku University (DLR)

“Tectonic Evolution of Ne Asia: a View from the Bottom of Cratonic Lithosphere”
Moonsup CHO
Chungbuk National University

“Early Paleozoic Linkage of the Korean Peninsula and Proto-Japan Arc with the North China Craton”

SS01 – The Asian Monsoon in a Changing Climate

Thu-02 Jul 2020 | 16:00 – 18:00 | Tower B, Lavender II

Conveners: Kyung-Ja HA, Pusan National University
Johnny CHAN, City University of Hong Kong
Ramesh KRIPALANI, Indian Institute of Tropical Meteorology
Jun MATSUMOTO, Tokyo Metropolitan University / JAMSTEC
Toru TERAO, Kagawa University

Jianping LI
Ocean University of China

“Atmospheric Energetics of the South China Sea Summer Monsoon and the Relative Roles of South China Sea Summer Monsoon and Enso in IOD Development”
Akio KITOH
Japan Meteorological Business Support Center

“Monsoon Precipitation Changes Simulated by Large-ensemble MRI-AGCM”
Chih-Pei CHANG
National Taiwan University

“Boreal Winter Seasonal Prediction of Western Maritime Continent Rainfall During ENSO”
Bin WANG
University of Hawaii

“Future Change of Monsoon Rainfall Projected by Cmip6 Models”
Krishnan RAGHAVAN
Indian Institute of Tropical Meteorology

“Behavior of Monsoon Droughts Over India in a Changing Climate”
Rong FU
University of California, Los Angeles

“The Role of Vegetation in Determining Droughts Over Monsoon Regions”


WORKSHOPS

AS74 Mini Tutorial for Ensemble Data Assimilation and the Data Assimilation Research Testbed

Wed-01 Jul 2020 | 08:30 – 10:30 | Tower B, Lavender II

Conveners: Soyoung HA, National Center for Atmospheric Research
Jeffrey ANDERSON, National Center for Atmospheric Research
Jeff STEWARD, National Center for Atmospheric Research

Data assimilation for an earth system model is the process of combining model forecasts with observations to produce improved estimates of the model state. Ensemble filter data assimilation algorithms use a set (ensemble) of model state estimates to enable the assimilation process.

This session is designed to be a short course that provides a practical introduction to ensemble filters through a combination of lecture and interactive tutorials. Basic ensemble filter algorithms will be covered along with an overview of extensions required for successful application in large earth system models. The interactive tutorials use the algorithms that comprise the Data Assimilation Research Testbed (DART), a community software facility for ensemble filter data assimilation. DART can produce high-quality weather predictions but can also be used to build a comprehensive forecast system for any prediction model and observations. DART has been applied to NWP at scales ranging from sub-kilometer to global, but also to space weather, oceans, sea ice, terrestrial systems, hydrologic models, and many other earth system applications. Attendees will leave with a solid foundation that will allow them to explore using DART for existing models and observations. They will also have a basic understanding of what would be required to develop DART assimilation capabilities for new models or observations. Attendees can download the DART tutorials ahead of time onto their own laptops if they want to participate interactively during the session.


AS75 Climate Prediction: Skills and Errors on Climate Drivers and Response, and Extremes

Thu-02 Jul 2020 | 08:30 – 12:45 | Tower B, Lavender II

Conveners: Hyung-Jin KIM, APEC Climate Center
Soo-Jin SOHN, APEC Climate Center
Francis Chi Yung TAM, The Chinese University of Hong Kong

There is a growing need in the scientific, operational and climate services communities in developing and utilizing high-quality climate predictions to provide early warnings of high-impact climate events and to take relevant proactive measures. The quality of climate predictions has been evaluated primarily with prediction skills on major climate variables and drivers at regional and global scales. Although such conventional assessment is served as an important guideline for the use of climate predictions, it is also crucial to validate sub-regional prediction skills of remote response and extremes to various climate drivers. In addition, systematic analysis of prediction errors helps improve our knowledge on local and regional climate predictability and, hence, develop indigenous prediction systems. The goal of this session is to discuss the current status of prediction skills and errors on climate drivers, teleconnections and associated climate response, and extremes with time scales of subsesonal, seasonal, inter-annual and beyond, and to address the window of opportunity for advancing climate predictions and techniques.