globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-21-6329-2017
Scopus记录号: 2-s2.0-85038441225
论文题名:
Comparing soil moisture anomalies from multiple independent sources over different regions across the globe
作者: Cammalleri C; , Vogt J; V; , Bisselink B; , De Roo A
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期:12
起始页码: 6329
结束页码: 6343
语种: 英语
Scopus关键词: Agriculture ; Climate change ; Climate models ; Drought ; Errors ; Moisture ; Monitoring ; Remote sensing ; Soils ; Agricultural drought ; Distributed hydrological model ; Drought monitoring ; Ground station networks ; Independent sources ; Land surface temperature ; Root zone soil moistures ; Spatial distribution of errors ; Soil moisture ; comparative study ; data set ; drought ; global perspective ; land information system ; MODIS ; monitoring system ; remote sensing ; rhizosphere ; satellite data ; soil moisture ; spatial distribution ; Africa ; Australia ; Europe ; India ; North America
英文摘要: Agricultural drought events can affect large regions across the world, implying the need for a suitable global tool for an accurate monitoring of this phenomenon. Soil moisture anomalies are considered a good metric to capture the occurrence of agricultural drought events, and they have become an important component of several operational drought monitoring systems. In the framework of the JRC Global Drought Observatory (GDO, http://edo.jrc.ec.europa.eu/gdo/), the suitability of three datasets as possible representations of root zone soil moisture anomalies has been evaluated: (1) the soil moisture from the Lisflood distributed hydrological model (namely LIS), (2) the remotely sensed Land Surface Temperature data from the MODIS satellite (namely LST), and (3) the ESA Climate Change Initiative combined passive/active microwave skin soil moisture dataset (namely CCI). Due to the independency of these three datasets, the triple collocation (TC) technique has been applied, aiming at quantifying the likely error associated with each dataset in comparison to the unknown true status of the system. TC analysis was performed on five macro-regions (namely North America, Europe, India, southern Africa and Australia) detected as suitable for the experiment, providing insight into the mutual relationship between these datasets as well as an assessment of the accuracy of each method. Even if no definitive statement on the spatial distribution of errors can be provided, a clear outcome of the TC analysis is the good performance of the remote sensing datasets, especially CCI, over dry regions such as Australia and southern Africa, whereas the outputs of LIS seem to be more reliable over areas that are well monitored through meteorological ground station networks, such as North America and Europe. In a global drought monitoring system, the results of the error analysis are used to design a weighted-average ensemble system that exploits the advantages of each dataset. © 2017 Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78965
Appears in Collections:气候变化事实与影响

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作者单位: European Commission, Joint Research Centre (JRC), Ispra, Italy

Recommended Citation:
Cammalleri C,, Vogt J,V,et al. Comparing soil moisture anomalies from multiple independent sources over different regions across the globe[J]. Hydrology and Earth System Sciences,2017-01-01,21(12)
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