VA01: Dry and Warm Bias over ARM SGP site in E3SM and E3SM-MMF
Full Title | Assessment of warm and dry bias over ARM SGP site in E3SMv2 and E3SM-MMF |
|---|---|
First Author |
|
All Authors | Jungmin Lee, Cheng Tao, Walter M. Hannah, Shaocheng Xie, David C. Bader |
Topic | Atmosphere |
Project | ECP/E3SM-MMF |
Abstract | Many climate models exhibit a dry and warm bias over the central U.S during the summer months, including the Energy Exascale Earth System Model (E3SM) and its multiscale Modelling Framework (MMF) configuration. Understanding the causes of this bias is important to shine a light on this common model error and reduce the uncertainty in future projections. In this study, we use E3SMv2 and E3SM-MMF to assess how parameterized and resolved convection affect temperature and precipitation biases over the Southern Great Plains site of the Atmospheric Radiation Measurement program. Both configurations overestimate near-surface temperature and underestimate precipitation at the ARM SGP site. The bias is associated with a lack of low-level clouds during days without precipitation and too much incoming solar radiation causing the surface to warm. Low-level cloud fraction in E3SM-MMF during the non-precipitating days is lower in comparison to E3SMv2 and observation, consistent with the larger warm bias. We also find that the underestimated precipitation can be characterized as “too frequent, too weak” in E3SMv2 and “too rare, too intense” in E3SM-MMF. These deficiencies conspire to sustain the warm and dry bias over the central US. |
In-person | no |
Poster | 
|
Discussion Link | email: lee1046@llnl.gov slack: DM to @Jungmin Lee |