globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-21-6235-2017
Scopus记录号: 2-s2.0-85042720052
论文题名:
Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI
作者: Ruiz-Pérez G; , Koch J; , Manfreda S; , Caylor K; , Francés F
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期:12
起始页码: 6235
结束页码: 6251
语种: 英语
Scopus关键词: Developing countries ; Orthogonal functions ; Satellites ; Vegetation ; Calibration and validations ; Eco-hydrological models ; Empirical Orthogonal Function ; Model calibration and validation ; Normalized difference vegetation index ; Satellite remote sensing data ; Spatio-temporal variation ; Spatiotemporal information ; Remote sensing ; calibration ; developing world ; ecohydrology ; hydrological modeling ; model validation ; MODIS ; NDVI ; remote sensing ; satellite data ; spatiotemporal analysis ; vegetation dynamics ; Ewaso Ngiro Basin ; Kenya ; Sub-Saharan Africa
英文摘要: Ecohydrological modeling studies in developing countries, such as sub-Saharan Africa, often face the problem of extensive parametrical requirements and limited available data. Satellite remote sensing data may be able to fill this gap, but require novel methodologies to exploit their spatiotemporal information that could potentially be incorporated into model calibration and validation frameworks. The present study tackles this problem by suggesting an automatic calibration procedure, based on the empirical orthogonal function, for distributed ecohydrological daily models. The procedure is tested with the support of remote sensing data in a data-scarce environment - the upper Ewaso Ngiro river basin in Kenya. In the present application, the TETIS-VEG model is calibrated using only NDVI (Normalized Difference Vegetation Index) data derived from MODIS. The results demonstrate that (1) satellite data of vegetation dynamics can be used to calibrate and validate ecohydrological models in water-controlled and datascarce regions, (2) the model calibrated using only satellite data is able to reproduce both the spatio-temporal vegetation dynamics and the observed discharge at the outlet and (3) the proposed automatic calibration methodology works satisfactorily and it allows for a straightforward incorporation of spatio-temporal data into the calibration and validation framework of a model. © Author(s) 2017.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79315
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: Department of Crop Production Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden; Department of Hydrology, Geological Survey of Denmark and Greenland, Copenhagen, Denmark; Department of Geosciences and Natural Resources Management, University of Copenhagen, Copenhagen, Denmark; Department of European and Mediterranean Cultures, University of Basilicata, Matera, Italy; Bren School of Environmental Science and Management, Department of Geography, UC Santa Barbara, Santa Barbara, CA, United States; Research Group of Hydrological and Environmental Modelling (GIHMA), Research Institute of Water and Environmental Engineering, Universitat Politècnica de València, Valencia, Spain

Recommended Citation:
Ruiz-Pérez G,, Koch J,, Manfreda S,et al. Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI[J]. Hydrology and Earth System Sciences,2017-01-01,21(12)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Ruiz-Pérez G]'s Articles
[, Koch J]'s Articles
[, Manfreda S]'s Articles
百度学术
Similar articles in Baidu Scholar
[Ruiz-Pérez G]'s Articles
[, Koch J]'s Articles
[, Manfreda S]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Ruiz-Pérez G]‘s Articles
[, Koch J]‘s Articles
[, Manfreda S]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.