Reanalysis-based contextualization of real-time snow cover monitoring from space

被引:7
|
作者
Gascoin, Simon [1 ]
Monteiro, Diego [2 ]
Morin, Samuel [2 ,3 ]
机构
[1] Univ Toulouse, CESBIO, CNES, CNRS,IRD,UPS,INRAE, Toulouse, France
[2] Univ Grenoble Alpes, Univ Toulouse, Ctr Etud Neige, Meteo France,CNRS,CNRM, Grenoble, France
[3] Univ Toulouse, CNRM, Meteo France, CNRS, Toulouse, France
来源
ENVIRONMENTAL RESEARCH LETTERS | 2022年 / 17卷 / 11期
关键词
reanalysis; snow; real time monitoring; remote sensing; Google Earth engine; LAND; MODEL; VARIABLES;
D O I
10.1088/1748-9326/ac9e6a
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Satellite remote sensing provides real-time information on the extent of the snow cover. However, the period of record is generally too short to build a reference climatology from these data alone, preventing their use as climatic indicators. Here we show that reanalysis data can be used to reconstruct a 30 year snow cover time series that fits well with the satellite observations. This climatology can then be used to put the current state of the snow cover into perspective. We implemented this approach to provide real-time information on the snow cover area in the Alps through a web application.
引用
收藏
页数:10
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