A064
Identifying, Understanding, and Resolving Earth System Model Biases
Identifying, Understanding, and Resolving Earth System Model Biases
Session ID#: 250532
Session Description:
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.
Co-Sponsor(s):
- C - Cryosphere
- EP - Earth and Planetary Surface Processes
- H - Hydrology
- OS - Ocean Sciences
Index Terms:
3319 General circulation [ATMOSPHERIC PROCESSES]
3337 Global climate models [ATMOSPHERIC PROCESSES]
3355 Regional modeling [ATMOSPHERIC PROCESSES]
3364 Synoptic-scale meteorology [ATMOSPHERIC PROCESSES]
Primary Convener: Michael B Ek, National Center for Atmospheric Research, Boulder, CO, United States
Conveners: Weiwei Li, University of Illinois at Urbana Champaign, Urbana, United States, Wenyu Zhou, Pacific Northwest National Laboratory, Richland, United States and Kathryn Newman, NSF NCAR, Boulder, United States
See more of: Atmospheric Sciences