High-resolution gridded soil moisture and soil temperature datasets for the Indian monsoon region

被引:35
|
作者
Nayak, H. P. [1 ,2 ,3 ,4 ]
Osuri, K. K. [5 ]
Sinha, Palash [1 ]
Nadimpalli, Raghu [1 ]
Mohanty, U. C. [1 ]
Chen, Fei [6 ,7 ]
Rajeevan, M. [8 ]
Niyogi, D. [3 ,4 ]
机构
[1] Indian Inst Technol, Sch Earth Ocean & Climate Sci, Bhubaneswar 752050, Odisha, India
[2] Indian Inst Technol Kharagpur, Ctr Oceans Rivers Atmosphere & Land Sci, Kharagpur 721302, W Bengal, India
[3] Purdue Univ, Dept Agron, W Lafayette, IN 47907 USA
[4] Purdue Univ, Dept Earth Atmospher & Planetary Sci, W Lafayette, IN 47907 USA
[5] Natl Inst Technol, Dept Earth & Atmospher Sci, Rourkela 769008, Odisha, India
[6] Natl Ctr Atmospher Res, Boulder, CO 80301 USA
[7] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
[8] Minist Earth Sci, Lodhi Rd, New Delhi 110003, India
基金
中国国家自然科学基金;
关键词
LAND-SURFACE PROCESSES; PARAMETERIZATION; CLIMATE; SUMMER; VALIDATION; PRODUCTS; IMPACTS; WEATHER; MODEL; NCEP;
D O I
10.1038/sdata.2018.264
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
High-resolution soil moisture/temperature (SM/ST) are critical components of the growing demand for fine-scale products over the Indian monsoon region (IMR) which has diverse land-surface characteristics. This demand is fueled by findings that improved representation of land-state help improve rainfall/flood prediction. Here we report on the development of a high-resolution (4 km and 3 hourly) SM/ST product for 2001-2014 during Indian monsoon seasons (June-September). First, the quality of atmospheric fields from five reanalysis sources was examined to identify realistic forcing to a land data assimilation system (LDAS). The evaluation of developed SM/ST against observations highlighted the importance of quality forcing fields. There is a significant relation between the forcing error and the errors in the SM/ST. A combination of forcing fields was used to develop 14-years of SM/ST data. This dataset captured inter-annual, intr-aseasonal, and diurnal variations under different monsoon conditions. When the mesoscale model was initialized using the SM/ST data, improved simulations of heavy rain events was evident, demonstrating the value of the data over IMR.
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页数:17
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