TITLE:
Temporal and Spatial Variation Characteristics of Soil Moisture in Spring in the Arid Regions of Northwest China in the Past 60s years
AUTHORS:
Yunxiao Zhao, Hongxia Shi
KEYWORDS:
Soil Moisture, GLDAS, CMIP6, Temporal-Spatial Characteristics
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.10 No.12,
December
29,
2022
ABSTRACT: Soil moisture (SM) is one of the important parameters in the
process of land-atmosphere interactions. The spatial-temporal distribution of
SM plays a significant role in weather and climate research. In this study,
based on the monthly SM datasets from GLDAS (Global Land Surface Data
Assimilation System), the temporal and spatial changes of shallow SM are
discussed, and the applicability of five domestic models from Coupled Model
Intercomparison Project 6 (CMIP6) is also evaluated in the Northwest China. The
results show that: 1) The shallow SM (0 - 10 cm) in
spring in Northwest China was generally low during 1948-2015, and the low value
areas were mainly located in the Tarim Basin in Xinjiang and the Gobi and
desert areas in western Inner Mongolia. In most parts of Northwest China, SM
had an increasing trend in spring, this implies it became wetter in recent 60
years; 2) There are larger difference between the five models for simulating
SM. Except for BCC-ESM1, all the four models (including BCC-CSM2-MR, FGOALS-f3-L, FGOALS-g3, TaiESM1)
can basically simulate the spatial distribution and trend of SM in spring, all
the spatial correlation coefficients between
the four models and GLDAS data pass the 99% significant level; 3) After
multi-ensemble mean, the simulation performance can be obviously improved, the
spatial correlation can reach about 0.55 in spring, the spatial trend is much
closer to the GLDAS.