- A31I: Identifying, Understanding, and Resolving Earth System Model Biases II Poster
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NOLA CC
Primary Convener:Generic 'disconnected' Message
Weiwei Li, University of Illinois at Urbana Champaign
Convener:
Wenyu Zhou, Pacific Northwest National Laboratory
Kathryn Newman, NSF NCAR
Michael Ek, NSF NCAR
Chair:
Michael Ek, NSF NCAR
Wenyu Zhou, Pacific Northwest National Laboratory
Weiwei Li, University of Illinois at Urbana Champaign
Kathryn Newman, NSF NCAR
Weather and climate models continue to suffer from systematic biases, many related to missing or inadequately represented processes caused by shortcomings in Earth System Models (ESMs). It is essential to pinpoint and understand reasons for these ESM biases, and then to improve overall model performance justified on physical grounds. This session aims to bring together researchers/scientists across the community who work on a range of numerical modeling/infrastructure advancements in ESMs. We welcome contributions that: (1) help identify, understand, and resolve biases in ESMs (including but not limited to biases in mean climate, trends, and characteristics/dynamics of specific processes), (2) leverage observing systems to constrain parameterized processes, (3) develop and assess various model physics, and (4) share corresponding research from various testbeds and operational centers. The session echoes the AGU theme this year: “Where Science Connects Us” by fostering better understanding of fundamental issues in cutting-edge models and exploring potential solutions.
Index Terms
3319 General circulation
3337 Global climate models
3355 Regional modeling
3364 Synoptic-scale meteorology
Cross-Listed:
C - Cryosphere
H - Hydrology
OS - Ocean Sciences
EP - Earth and Planetary Surface Processes
Co-Sponsored Sessions:
AMS: American Meteorological Society
EGU: European Geosciences Union
AOGS: Asia Oceania Geosciences Society
WCRP: World Climate Research Programme
Co-Organized Sessions:
Cryosphere
Neighborhoods:
3. Earth Covering
Scientific DisciplineNeighborhoodType
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