Assessing remotely sensed and reanalysis products in characterizing surface soil moisture in the Mongolian Plateau
Assessing remotely sensed and reanalysis products in characterizing surface soil moisture in the Mongolian Plateau
复制标题
评估蒙古高原表层土壤水分特征的遥感和再分析产品
DOI：
10.1080/17538947.2020.1820590
复制
发表时间：
2020-09
影响因子：
5.1
通讯作者：
Yuhai Bao
中科院分区：
文献类型：
--
作者：
Min luo;Chula Sa;Fanhao Meng;Yongchao Duan;Tie Liud;Yuhai Bao
土壤水分在大气、水、能量和碳的耦合循环动力学中起着至关重要的作用。基于4个网格化的气象数据，研究了1982-2018年蒙古高原气象数据的时空分布和变化特征。以33个监测站的SM观测数据为参考，验证了这4种网格产品的可靠性，并采用三角帽法对其不确定度进行了评估。主要结果表明，这4种产品均在不同程度上低估了该地区的SM。ERA-Interim SM具有较高的R值为0.53，较低的ubRMSE值为0.0378 m3·m−3。除ECV外，近37 a暖季（4 ~ 10月）地表SM呈- 0.0004 ~ - 0.0008 m3·m−3/ a的减少趋势。SM在夏季下降幅度最大。偏相关分析表明，降水变化比温度变化更能解释SM的变化。研究结果将有助于认识气候变化对该地区生态系统的影响和保护。
ABSTRACT Soil moisture (SM) plays a crucial role in the dynamics of coupled atmosphere, water, energy, and carbon cycles. In this study, the spatiotemporal distribution and variations of SM in the Mongolian Plateau were investigated for the period of 1982–2018 based on four gridded SM datasets. Taking the observed SM from 33 monitoring stations as a reference, the reliability of these four gridded products was validated, and the three-cornered hat (TCH) method was also applied to evaluate their uncertainties. Major results indicated that all these four products underestimated the SM in this region at different levels. The ERA-Interim SM performed much better than other three products, with a higher R of 0.53 and lower ubRMSE of 0.0378 m3·m−3. Except for ECV, the surface SM exhibited a decreasing trend at −0.0004 to −0.0008 m3·m−3/decade in the warm season (from April to October) over the past 37 years. The greatest decreases in SM occurred in the summer season. Precipitation change plays a more important role in explaining the variations of SM than temperature reported by partial correlation analysis. The results of this study will benefit our understanding of the climate change effects and the protection of the ecological systems in this region.
登录
查看更多内容
青藏高原土壤水分和冻融动态L波段辐射计测量采样深度
影响因子：
13.5
作者：
Donghai Zheng;Xin Li;Xin Wang;Zuoliang Wang;Jun Wen;Rogier van der Velde;Mike Schwank;Zhongbo Su
通讯作者：
Zhongbo Su
影响因子：
2.6
作者：
N. Archer;W. Otten;S. Schmidt;A. Bengough;N. Shah;M. Bonell
通讯作者：
N. Archer;W. Otten;S. Schmidt;A. Bengough;N. Shah;M. Bonell
DOI：
10.1016/j.jag.2015.06.009
发表时间：
2016-06
期刊：
Int. J. Appl. Earth Obs. Geoinformation
影响因子：
--
作者：
Abdolaziz Rahmani;S. Golian;L. Brocca
通讯作者：
Abdolaziz Rahmani;S. Golian;L. Brocca
影响因子：
3.4
作者：
Yunqian Wang;Jing Yang;Yaning Chen;G. Fang;W. Duan;Yupeng Li;P. de Maeyer
通讯作者：
Yunqian Wang;Jing Yang;Yaning Chen;G. Fang;W. Duan;Yupeng Li;P. de Maeyer
影响因子：
2.4
作者：
F. Galindo;J. Palacio
通讯作者：
F. Galindo;J. Palacio