中国农业气象 ›› 2022, Vol. 43 ›› Issue (01): 17-27.doi: 10.3969/j.issn.1000-6362.2022.01.002

• 农业生态环境栏目 • 上一篇    下一篇

辽宁省生长季CLDAS土壤相对湿度产品的评估检验

刘东明,吴门新,侯英雨,陈鹏狮,张微玮,王贺然   

  1. 1.辽宁省生态气象和卫星遥感中心,沈阳 110166;2.国家气象中心,北京 100081
  • 收稿日期:2021-05-07 出版日期:2022-01-20 发布日期:2022-01-15
  • 基金资助:
    国家重点研发计划项目(2018YFC1506500);辽宁省气象局科学技术研究课题(202105);中国气象局沈阳大气环境研究所开放基金(2019SYIAE09)

Evaluation and Verification of CLDAS Relative Soil Moisture Products during Growing Season in Liaoning Province

LIU Dong-ming, WU Men-xin, HOU Ying-yu, CHEN Peng-shi, ZHANG Wei-wei, WANG He-ran   

  1. 1. Ecological Meteorology and Satellite Remote Sensing Center of Liaoning Province, Shenyang 110166,China; 2.National Meteorological Center, Beijing 100081
  • Received:2021-05-07 Online:2022-01-20 Published:2022-01-15

摘要: 基于辽宁省2020年生长季(5-10月)逐日自动土壤水分站观测资料,利用相关系数(r)、均方根误差(RSME)、平均绝对误差(MAE)和偏差(ME)等统计评估指标对0-10cm、0-20cm和0-50cm层次的CLDAS(中国气象局陆面数据同化系统)土壤相对湿度产品在辽宁省的模拟表现进行评估检验,以确定其在辽宁省的适用性。结果表明,3个土壤层次的CLDAS土壤相对湿度模拟结果与观测值在时间尺度上存在趋势一致性,具有显著的正相关。生长季内辽宁省CLDAS平均土壤相对湿度模拟结果整体偏高,CLDAS对土壤相对湿度在60%~90%之间的模拟效果较好,对偏湿状态(RSM>90%)和偏干状态(RSM<60%)的模拟效果欠佳。3个层次的CLDAS土壤相对湿度模拟结果与观测值存在一致的空间变化趋势,总体呈西低东高趋势分布。CLDAS土壤相对湿度模拟结果与观测值呈显著正相关关系,0-20cm和0-50cm层次上全省大部地区相关系数超过0.8。误差评估结果在全省范围内的分布趋势一致,辽宁东部、南部和西部的误差较小,北部和中部的部分地区误差较大,在康平—彰武—新民—台安一线出现误差异常高值区。CLDAS土壤相对湿度模拟结果在辽宁省具有较强的适用性和稳定性,能够较好地反映土壤水分盈亏变化状况。

关键词: CLDAS, 土壤相对湿度, 辽宁省, 评估检验

Abstract: Based on the daily observation data of automatic soil moisture stations in Liaoning province during growing season (May to October) in 2020, the simulation performance of CLDAS(CMA Land Data Assimilation System) relative soil moisture products at 0−10cm, 0-20cm and 0-50cm levels was evaluated and tested by using statistical evaluation indices and methods including correlation coefficient (r), root mean squared error (RMSE), mean absolute error (MAE) and deviation to comprehend the application of CLDAS fusion relative soil moisture data. The results showed that there are trend consistency and significant positive correlation on time scale between CLDAS relative soil moisture simulation results and observed values in three soil layers. During the growing season, the simulation results of CLDAS average relative soil moisture were generally high. CLDAS had a relatively nice simulation effect when the relative soil moisture was between 60% and 90%, and had a relatively poor simulation effect when the relative soil moisture data were in the state of partial wet (RSM > 90%) and partial dry (RSM < 60%). On the other hand, the spatial variation showed a consistent tendency between CLDAS relative soil moisture simulation results and observed values at three levels, and the overall distribution was relatively low in the west and relatively high in the east. There was a significant positive correlation between CLDAS relative soil moisture simulation results and observed values, and the correlation coefficient was more than 0.8 in 0-20cm and 0-50cm soil layer in most areas of Liaoning province. The distribution trend of error assessment results was coincident in the whole province. The errors in the eastern, southern and western parts of Liaoning were relatively small, while those in the northern and central parts were relatively large. Abnormal high value area of error occurred in the line of Kangping-Zhangwu-Xinmin-Tai 'an. The relative soil moisture simulation results of CLDAS had a fairly strong applicability and stability in Liaoning province, which could reflect the variation of soil water surplus and deficit well.

Key words: CLDAS, Relative soil moisture, Liaoning province, Evaluation and verification