6套格点土壤水分数据集在内蒙古自治区的适用性评价

宋海清; 朱仲元; 李云鹏

doi:10.13961/j.cnki.stbctb.2021.06.025

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6套格点土壤水分数据集在内蒙古自治区的适用性评价

试验研究

- 6套格点土壤水分数据集在内蒙古自治区的适用性评价
- Applicability Evaluation of Six Gridded Soil Moisture Datasets in Inner Mongolia Autonomous Region
- 水土保持通报 2021年41卷第6期页码：180-189
- 作者机构：
  
  1. 内蒙古农业大学水利与土木建筑工程学院,内蒙古,呼和浩特,010018
  2. 内蒙古自治区生态与农业气象中心,内蒙古,呼和浩特,010051
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“基于冰雪融水转化过程与植被—土壤水热互馈机制的牧草生物量模型构建”（51669018），“改变降水对内蒙古典型草原禁牧与放牧草地水文土壤植被影响机制研究”（51779116）;国家重点研发计划重大自然灾害监测预警与防范专项（2018YFC1506606）;内蒙古自治区气象局科技创新项目（nmqxkjcx202107）
- DOI：10.13961/j.cnki.stbctb.2021.06.025
  中图分类号： S127;S152.7
- 纸质出版：2021
- 稿件说明：
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宋海清, 朱仲元, 李云鹏. 6套格点土壤水分数据集在内蒙古自治区的适用性评价[J]. 水土保持通报, 2021,41(6):180-189.

Song Haiqing, Zhu Zhongyuan, Li Yunpeng. Applicability Evaluation of Six Gridded Soil Moisture Datasets in Inner Mongolia Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2021, 41(6): 180-189.
宋海清, 朱仲元, 李云鹏. 6套格点土壤水分数据集在内蒙古自治区的适用性评价[J]. 水土保持通报, 2021,41(6):180-189. DOI： 10.13961/j.cnki.stbctb.2021.06.025.

Song Haiqing, Zhu Zhongyuan, Li Yunpeng. Applicability Evaluation of Six Gridded Soil Moisture Datasets in Inner Mongolia Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2021, 41(6): 180-189. DOI： 10.13961/j.cnki.stbctb.2021.06.025.

摘要

[目的] 评价6套多源格点土壤水分数据的适用性，为内蒙古地区陆—气耦合研究、干旱监测和气候变化背景下陆地水资源监测等提供科学的土壤水分精度信息和选择依据。[方法] 以内蒙古地区2016—2020年5—9月63个气象台站逐旬0—10 cm土壤水分监测资料为基础，以相关系数、平均绝对误差和均方根误差为指标，系统评价了土壤水分主被动探测计划（SMAP）、欧洲航天局气候变化倡议（ESA）、中国气象局陆面数据同化系统（CLDAS）、欧洲中期天气预报中心第5代ERA5和ERA5Land以及美国全球陆面数据同化系统NOAH等6套格点土壤水分资料在内蒙古的精度和时空变化。[结果] ①6套格点土壤水分资料均可以较好地再现内蒙古土壤水分“东湿西干”的空间分布特征，SMAP在空间上与观测数据吻合最好，其余五套资料普遍高估了土壤水分。②从内蒙古及其3个气候分区土壤水分的时间序列统计特征来看，6套土壤水分格点数据较好地表现出了观测土壤水分的时间变化趋势，除了SMAP与实测最为接近外，其余五套数据在内蒙古自治区、区内半湿润区和半干旱区普遍偏湿，且ERA5和ERA5Land高估较多，在区内干旱区，SMAP，ERA5和ERA5Land与观测更为接近。③6套格点土壤水分资料在内蒙古及其3个分区均与观测值具有极显著的相关系数，SMAP，ESA，CLDAS，ERA5和ERA 5Land数据与实测数据的相关性明显优于NOAH，SMAP数据的平均绝对误差和均方根误差显著小于其他5套数据集。[结论] 格点6套土壤水分数据在内蒙古的适用性各异，SMAP数据质量总体上较其他五套资料最优，适用性最好，ESA数据其次，NOAH数据相对最差。

Abstract

[Objective] The applicability of six multi-source gridded soil moisture datasets was evaluated

in order to provide scientific precision information of soil moisture and selection basis for land-atmosphere coupling study

drought monitoring and land water resources monitoring under the background of climate change in Inner Mongolia Autonomous Region.[Methods] Using the soil moisture data observed by 63 meteorological stations in every ten days at 0-10 cm level from May to September from 2016 to 2020 in Inner Mongolia Autonomous Region

and taking correlation coefficient

mean absolute error and root mean square error as evaluation indexes

the accuracy and spatio-temporal variation of the SMAP soil moisture from NASA

ESA CCI from the European Space Agency(ESA)

CLDAS from the China Meteorological Administration(CMA)

ERA5 and ERA5 Land from the European Centre for Medium-Range Weather Forecasts(ECMWF) and NOAH from the global land surface data assimilation system(GLDAS/NASA) were systematically evaluated.[Results] ① Six gridded soil moisture datasets could truly reflected the spatial distribution characteristics of soil moisture in Inner Mongolia

and SMAP was the best. ② According to the statistical characteristics of the time series of soil moisture in Inner Mongolia Autonomous Region and its three climatic regions

the six gridded soil moisture datasets better reflected the temporal variation trend of soil moisture. SMAP was the closest to the measured data

and the other five datasets were generally higher in semi-humid and semi-arid regions of Inner Mongolia

and ERA5 and ERA5Land overestimated higher. In arid regions of Inner Mongolia

SMAP

ERA5 and ERA5Land were closer to the observations. ③ Six gridded soil moisture datasets in Inner Mongolia and its three sub-regions had very significant correlation coefficients

and the correlation coefficients between SMAP

ESA

CLDAS

ERA5

ERA5Land and the observed data was obviously better than that of NOAH. The mean absolute error and root mean square error of SMAP data are significantly smaller than those of the other five datasets.[Conclusion] Six gridded soil moisture datasets have different applicability in Inner Mongolia area. The quality and applicability of SMAP soil moisture are the best

ESA is the second

NOAH is the worst.

关键词

Keywords

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