Improved JRA-3Q Soil Temperature in Permafrost Regions

被引:0
作者
Lan, Shengtao [1 ,2 ]
Cao, Bin [1 ]
Li, Xin [1 ]
Sun, Wen [1 ]
Wang, Shengdi [3 ]
Ma, Rui [2 ]
Sun, Ziyong [2 ]
Guo, Xuejun [1 ]
机构
[1] Chinese Acad Sci, Inst Tibetan Plateau Res, Natl Tibetan Plateau Data Ctr, Key Lab Tibetan Plateau Earth Syst Environm & Reso, Beijing, Peoples R China
[2] China Univ Geosci, Sch Environm Studies, Wuhan, Peoples R China
[3] Lanzhou Univ, Coll Earth & Environm Sci, Key Lab Western Chinas Environm Syst, Minist Educ, Lanzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Soil temperature; Snow; Reanalysis data; SURFACE PARAMETERIZATION SIB2; ACTIVE LAYER THICKNESS; LAND-SURFACE; CLIMATE-CHANGE; METEOROLOGICAL CONDITIONS; SYNTHESIS DATASET; ATMOSPHERIC GCMS; RESEARCH SITE; HEAT-TRANSFER; MODEL;
D O I
10.1175/JCLI-D-24-0267.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Reanalysis is a valuable potential data source for permafrost studies. The latest-generation reanalysis of the Japanese Reanalysis for three quarters of a century (JRA-3Q) benefits from improved snow and soil schemes and demonstrates encouraging performance for soil temperature in permafrost regions compared to its predecessor, JRA-55, and other state-of-the-art reanalyses. We find JRA-3Q to have an overall mean annual air temperature bias of-0.17 degrees C, with-0.55 degrees C in permafrost regions. The snow depth was underestimated by-5.5 cm. In permafrost regions, the mean annual ground temperature bias was about-0.09 degrees C. The estimated permafrost area from JRA-3Q is between 10.8 and 15.8 x 106 km2. The active layer thickness is substantially overestimated by about 0.65 m. The JRA-3Q soil temperature exhibits a pronounced warm bias in Alaska, which is very likely due to the overestimated snow insulation and simplified soil organic content. The decoupled energy conservation parameterization (DECP) method employed in the JRA-3Q soil scheme restricts its suitability for the interpretation of detailed permafrost phenomena, such as zero-curtain effects. This DECP method is used in many stateof-the-art land surface models; our results demonstrate the need for additional contributions to improve the representation of permafrost-specific processes.
引用
收藏
页码:1611 / 1625
页数:15
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