Interannual Variations and Trends in Remotely Sensed and Modeled Soil Moisture in ChinaSource: Journal of Hydrometeorology:;2018:;volume 019:;issue 005::page 831DOI: 10.1175/JHM-D-18-0003.1Publisher: American Meteorological Society
Abstract: AbstractIn this study, a microwave-based multisatellite merged product released from the European Space Agency?s Climate Change Initiative (ESA CCI) and two model-based simulations from the Community Land Model 4.5 (CLM4.5) and Global Land Data Assimilation System (GLDAS) were used to investigate interannual variations and trends of soil moisture in China between 1979 and 2010. They were also evaluated using in situ observations from the nationwide agrometeorological network. These three datasets show consistent drying trends for surface soil moisture in northeastern and central China, as well the eastern portion of Inner Mongolia, and wetting trends in the Tibetan Plateau, which are also identified by in situ observations. Trends in the root-zone soil moisture are in line with those of surface soil moisture seen in the CLM4.5 and GLDAS simulations obtained from most areas in China (78%?88%), except for northwestern China and southwest of the Tibetan Plateau. Moreover, the drying trend intensifies with increasing soil depth. Taking the in situ measurements as reference, it is found that ESA CCI has better accuracy in identifying the significant drying trends while CLM4.5 and GLDAS capture wetting trends better. Compared to temperature, precipitation is the primary factor responsible for these trends, which controls the direction of soil moisture changes, while increasing temperatures can also enhance soil drying during periods of decreased precipitation.
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contributor author | Jia, Binghao | |
contributor author | Liu, Jianguo | |
contributor author | Xie, Zhenghui | |
contributor author | Shi, Chunxiang | |
date accessioned | 2019-09-19T10:02:08Z | |
date available | 2019-09-19T10:02:08Z | |
date copyright | 4/24/2018 12:00:00 AM | |
date issued | 2018 | |
identifier other | jhm-d-18-0003.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4260820 | |
description abstract | AbstractIn this study, a microwave-based multisatellite merged product released from the European Space Agency?s Climate Change Initiative (ESA CCI) and two model-based simulations from the Community Land Model 4.5 (CLM4.5) and Global Land Data Assimilation System (GLDAS) were used to investigate interannual variations and trends of soil moisture in China between 1979 and 2010. They were also evaluated using in situ observations from the nationwide agrometeorological network. These three datasets show consistent drying trends for surface soil moisture in northeastern and central China, as well the eastern portion of Inner Mongolia, and wetting trends in the Tibetan Plateau, which are also identified by in situ observations. Trends in the root-zone soil moisture are in line with those of surface soil moisture seen in the CLM4.5 and GLDAS simulations obtained from most areas in China (78%?88%), except for northwestern China and southwest of the Tibetan Plateau. Moreover, the drying trend intensifies with increasing soil depth. Taking the in situ measurements as reference, it is found that ESA CCI has better accuracy in identifying the significant drying trends while CLM4.5 and GLDAS capture wetting trends better. Compared to temperature, precipitation is the primary factor responsible for these trends, which controls the direction of soil moisture changes, while increasing temperatures can also enhance soil drying during periods of decreased precipitation. | |
publisher | American Meteorological Society | |
title | Interannual Variations and Trends in Remotely Sensed and Modeled Soil Moisture in China | |
type | Journal Paper | |
journal volume | 19 | |
journal issue | 5 | |
journal title | Journal of Hydrometeorology | |
identifier doi | 10.1175/JHM-D-18-0003.1 | |
journal fristpage | 831 | |
journal lastpage | 847 | |
tree | Journal of Hydrometeorology:;2018:;volume 019:;issue 005 | |
contenttype | Fulltext |