摘要
为了获取全面的地面表层的时空变化信息,研究行政区域尺度内的水循环和能量循环,必需结合模型模拟和站点观测。基于国家气象局开发的时空连续的CLDAS土壤湿度产品,结合已获取的北京市区域内82个监测站点的逐日土壤湿度监测数据,评估CLDAS土壤湿度产品在行政区域尺度内的准确性与一致性,进一步获取北京市行政区域内的精确、全面、连续的土壤湿度时空变化信息,并在此基础上分析北京市土壤墒情时空变异特征。对比分析CLDAS产品和站点观测两种土壤湿度数据显示,北京市2013年10月1日至12月31日范围内CLDAS产品具有以下特点:CLDAS产品基本与观测数据具有一致变化的趋势,除顺义外CLDAS产品均高于观测数据。当日20∶00的土壤湿度均高于8∶00的土壤湿度,在平均气温降为0℃后,土壤湿度波动剧烈,20∶00与8∶00的土壤湿度出现显著差异。在时间尺度上,随着降水的减少,北京市的土壤湿度在逐渐降低。在空间尺度上,北京市干旱范围在逐渐扩大,并且呈现以昌平为中心的极旱逐渐蔓延至多个区。由于顺义区土壤相对湿度较高,呈现另外一个以顺义为中心的土壤相对湿度逐渐变小的区域,但空间范围变化较小。
It is of great significance to accurately and objectively evaluate the spatial and temporal variation characteristics of soil moisture in studies on the biochemical evolution process of the earth surface.Thus,the combination of model simulation and site observation is necessary to studying water and energy recycling at a regional scale especially.In this paper,based on daily soil surface(0-10 cm)moisture data of 82 monitoring stations in Beijing and GLDAS soil moisture products,the accuracy and consistency of CLDAS was evaluated and the spatio-temporal variability of soil moisture content in Beijing was examined.The root mean square error(RMSE)was used to identify the consistency of CLDAS products and observation values.Specifically,we compared and analyzed the accumulated values of CLDAS products and observation data in 1 day(8∶00,20∶00),7 days(8∶00,20∶00),15 days(8∶00,20∶00),31days(8∶00,20∶00),61 days(8∶00,20∶00),and 92 days(8∶00,20∶00).The results showed that:(1)Although the data from CLDAS products were generally slightly higher than the measured data,CLDAS products and site observation data show a good consistency that RMSE in various countries was almost around 10;(2)CLDAS products could reflect the distribution characteristics of soil moisture in Beijing when the temperature was higher than 0℃,while there existed a bias in GLDAS products when the temperature was lower than 0℃;(3)Based on drought identification based on soil moisture data,we found that the drought area in Beijing was gradually expanding and one extreme drought center was spreading from Changping(soil relative moisture content<30%)to other districts.Meanwhile,the other area with high soil relative humidity(soil relative moisture content>50%),centered in Shunyi District,gradually decreased at a spatial scale;(4)In terms of temporal scale,soil moisture in Beijing gradually decreased with the decrease of precipitation that soil humidity at 20∶00 was all higher than that at 8∶00 in the same day(MEobs>0).When the t
作者
秦道清
赵岩
王红瑞
邓彩云
赵勇
QIN Dao-qing;ZHAO Yan;WANG Hong-rui;DENG Cai-yun;ZHAO Yong(College of Water Science,Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology,Beijing Normal University,Beijing 100875,China;State Key Laboratory of Simulation and Regulation ofWater Cycle in River Basin,China Institute of Water Resources and Hydropower Research,Beijing 100038,China)
出处
《自然资源学报》
CSSCI
CSCD
北大核心
2019年第1期191-204,共14页
Journal of Natural Resources
基金
国家重点研发计划(2016YFC0401407)
国家自然科学基金项目(51879010
51479003)
