CAUSES: Diagnosis of the Summertime Warm Bias in CMIP5 Climate Models at the ARM Southern Great Plains Site. Issue 6 (25th March 2018)

• Record Type: Journal Article
• Authors: Zhang, Chengzhu; Xie, Shaocheng; Klein, Stephen A.; Ma, Hsi‐yen; Tang, Shuaiqi; Van Weverberg, Kwinten; Morcrette, Cyril J.; Petch, Jon
• Is Part Of: Journal of geophysical research. Volume 123:Issue 6(2018)
• Page Start: 2968
• Page End: 2992
• Publication Date: 2018-03-25
• Subjects: surface temperature bias -- CAUSES -- ARM -- SGP -- CMIP5 -- systematic error; Atmospheric physics -- Periodicals; Geophysics -- Periodicals; 551.5
• DOI: 10.1002/2017JD027200
• Languages: English
• ISSNs: 2169-897X

Abstract

Abstract: All the weather and climate models participating in the Clouds Above the United States and Errors at the Surface project show a summertime surface air temperature (T2 m) warm bias in the region of the central United States. To understand the warm bias in long‐term climate simulations, we assess the Atmospheric Model Intercomparison Project simulations from the Coupled Model Intercomparison Project Phase 5, with long‐term observations mainly from the Atmospheric Radiation Measurement program Southern Great Plains site. Quantities related to the surface energy and water budget, and large‐scale circulation are analyzed to identify possible factors and plausible links involved in the warm bias. The systematic warm season bias is characterized by an overestimation of T2 m and underestimation of surface humidity, precipitation, and precipitable water. Accompanying the warm bias is an overestimation of absorbed solar radiation at the surface, which is due to a combination of insufficient cloud reflection and clear‐sky shortwave absorption by water vapor and an underestimation in surface albedo. The bias in cloud is shown to contribute most to the radiation bias. The surface layer soil moisture impacts T2 m through its control on evaporative fraction. The error in evaporative fraction is another important contributor to T2 m. Similar sources of error are found in hindcast from other Clouds Above the United States and Errors at the Surface studies. In Atmospheric Model Intercomparison Project simulations, biases in meridional wind velocity associated with the low‐level jet and the 500 hPa vertical velocity may also relate to T2 m bias through their control on the surface energy and water budget. Key Points: Modeled summertime climate over the Southern Great Plains is too warm and too dry in all CMIP5 AMIP simulations Both overestimated surface shortwave radiation and underestimated evaporative fraction contribute to the warm bias Overly strong low‐level jets and subsidence are associated with the warm bias through their control over surface energy and water budgets