DOI: 10.1002/2017JE005368
Scopus记录号: 2-s2.0-85044280241
论文题名: Improvement of Mars Surface Snow Albedo Modeling in LMD Mars GCM With SNICAR
作者: Singh D. ; Flanner M.G. ; Millour E.
刊名: Journal of Geophysical Research: Planets
ISSN: 21699097
出版年: 2018
卷: 123, 期: 3 起始页码: 780
结束页码: 791
语种: 英语
英文关键词: cryosphere
; LMD Mars GCM
; Mars
; snow modeling
Scopus关键词: aerosol
; albedo
; cryosphere
; dust
; ice
; Mars
; modeling
; snow
英文摘要: The current version of Laboratoire de Météorologie Dynamique (LMD) Mars GCM (original-MGCM) uses annually repeating (prescribed) CO2 snow albedo values based on the Thermal Emission Spectrometer observations. We integrate the Snow, Ice, and Aerosol Radiation (SNICAR) model with MGCM (SNICAR-MGCM) to prognostically determine H2O and CO2 snow albedos interactively in the model. Using the new diagnostic capabilities of this model, we find that cryospheric surfaces (with dust) increase the global surface albedo of Mars by 0.022. Over snow-covered regions, SNICAR-MGCM simulates mean albedo that is higher by about 0.034 than prescribed values in the original-MGCM. Globally, shortwave flux into the surface decreases by 1.26 W/m2, and net CO2 snow deposition increases by about 4% with SNICAR-MGCM over one Martian annual cycle as compared to the original-MGCM simulations. SNICAR integration reduces the mean global surface temperature and the surface pressure of Mars by about 0.87% and 2.5%, respectively. Changes in albedo also show a similar distribution to dust deposition over the globe. The SNICAR-MGCM model generates albedos with higher sensitivity to surface dust content as compared to original-MGCM. For snow-covered regions, we improve the correlation between albedo and optical depth of dust from −0.91 to −0.97 with SNICAR-MGCM as compared to the original-MGCM. Dust substantially darkens Mars's cryosphere, thereby reducing its impact on the global shortwave energy budget by more than half, relative to the impact of pure snow. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114322
Appears in Collections: 气候减缓与适应
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作者单位: Physical Research Laboratory, Ahmedabad, India; Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, United States; Laboratoire de Météorologie Dynamique (LMD/IPSL), Sorbonne Universités, UPMC Univ Paris 06, PSL Research University, Ecole Normale Supérieure, Université Paris-Saclay, Ecole Polytechnique, CNRS, Paris, France
Recommended Citation:
Singh D.,Flanner M.G.,Millour E.. Improvement of Mars Surface Snow Albedo Modeling in LMD Mars GCM With SNICAR[J]. Journal of Geophysical Research: Planets,2018-01-01,123(3)