Drought Evaluation with CMORPH Satellite Precipitation Data in the Yellow River Basin by Using Gridded Standardized Precipitation Evapotranspiration Index
Drought Evaluation with CMORPH Satellite Precipitation Data in the Yellow River Basin by Using Gridded Standardized Precipitation Evapotranspiration Index
复制标题
利用CMORPH卫星降水资料利用网格化标准化降水蒸散指数对黄河流域干旱进行评价
DOI：
10.3390/rs11050485
复制
发表时间：
2019-02
期刊：
影响因子：
5
通讯作者：
Li Zhenhong
中科院分区：
文献类型：
--
作者：
Wang Fei;Yang Haibo;Wang Zongmin;Zhang Zezhong;Li Zhenhong
传统的基于站点的干旱指数由于站点的空间分布不充分而存在一定的脆弱性，而且不能充分反映大范围、动态的干旱信息。因此，利用遥感降水产品进行大尺度干旱监测已得到广泛应用。与地面站资料相比，遥感降水产品具有覆盖面广、数据动态连续等优点，可有效弥补地面站在空间分布上的不足，为干旱指数的计算提供新的数据源。基于气候预测中心变形技术（CMORPH）的遥感数据，提出了网格化标准化降水蒸散指数（GSPEI），以评估1998 - 2016年黄河流域的网格化干旱特征。选择最佳普通克里格插值方法将气象站数据插值到与CMORPH数据相同的空间分辨率（8 km），以便将地基气象参数与遥感数据进行比较。此外，网格化的干旱趋势确定的基础上修改的曼-肯德尔（MMK）的趋势检验方法。结果表明：（1）GSPEI适合于利用CMORPH降水资料进行长江三峡库区干旱评价，与地面气象资料相一致：（2）GSPEI与SPEI之间的正相关性较高，相关系数均通过α = 0.05的显著性检验，表明GSPEI能较好地反映长江三峡库区的网格化干旱特征;（3）长江流域各季节干旱严重程度以夏季最高，其次为春季、秋季和冬季，平均GSPEI分别为-1.51、-0.09、0.30和1.33;（4）3月、5月、8月和10月干旱呈月尺度增加趋势，季节尺度和年尺度干旱呈减少趋势。
The traditional station-based drought index is vulnerable because of the inadequate spatial distribution of the station, and also, it does not fully reflect large-scale, dynamic drought information. Thus, large-scale drought monitoring has been widely implemented by using remote sensing precipitation products. Compared with station data, remote sensing precipitation products have the advantages of wide coverage and dynamic, continuous data, which can effectively compensate for the deficiency in the spatial distribution of the ground stations and provide a new data source for the calculation of a drought index. In this study, the Gridded Standardized Precipitation Evapotranspiration Index (GSPEI) was proposed based on a remote sensing dataset produced by the Climate Prediction Center morphing technique (CMORPH), in order to evaluate the gridded drought characteristics in the Yellow River basin (YRB) from 1998 to 2016. The optimal Ordinary Kriging interpolation method was selected to interpolate meteorological station data to the same spatial resolution as CMORPH data (8 km), in order to compare the ground-based meteorological parameters to remote sensing-based data. Additionally, the gridded drought trends were identified based on the Modified Mann–Kendall (MMK) trend test method. The results indicated that: (1) the GSPEI was suitable for drought evaluation in the YRB using CMORPH precipitation data, which were consistent with ground-based meteorological data; (2) the positive correlation between GSPEI and SPEI was high, and all the correlation coefficients (CCs) passed the significance test of α = 0.05, which indicated that the GSPEI could better reflect the gridded drought characteristics of the YRB; (3) the drought severity in each season of the YRB was highest in summer, followed by spring, autumn, and winter, with an average GSPEI of −1.51, −0.09, 0.30, and 1.33, respectively; and (4) the drought showed an increasing trend on the monthly scale in March, May, August, and October, and a decreasing trend on the seasonal and annual scale.
登录
查看更多内容
TRMM 3B43降水资料对中国江苏省干旱监测的评价
影响因子：
3.4
作者：
Tao Hui;Fischer Thomas;Zeng Yan;Fraedrich Klaus
通讯作者：
Fraedrich Klaus
1981—2013年中国黄河流域降水时空演变
DOI：
10.2166/ws.2016.072
发表时间：
2016-10
期刊：
Water Science and Technology: Water Supply
影响因子：
--
作者：
Wu, Lei;Liu, Xia;Ma, Xiaoyi
通讯作者：
Ma, Xiaoyi
DOI：
--
发表时间：
2020-03
期刊：
--
影响因子：
--
作者：
N. Giron
通讯作者：
N. Giron
影响因子：
--
作者：
Yan Shen;A. Xiong;Ying Wang;P. Xie
通讯作者：
Yan Shen;A. Xiong;Ying Wang;P. Xie
SC-PDSI与SPEI在中国干旱监测中的时标差异
影响因子：
3.7
作者：
Wei An;Xukai Zou;Haitao Li;Meiting Hou
通讯作者：
Meiting Hou