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Geostatistical radar-raingauge combination with nonparametric correlograms: methodological considerations and application in Switzerland

Autor
Schiemann, R.; Erdin, R.; Willi, M.; Frei, C.; Berenguer, M.; Sempere-Torres, D.
Tipus d'activitat
Article en revista
Revista
Hydrology and Earth system sciences
Data de publicació
2011-05-19
Volum
15
Pàgina inicial
1515
Pàgina final
1536
DOI
https://doi.org/10.5194/hess-15-1515-2011 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/13416 Obrir en finestra nova
URL
http://www.hydrol-earth-syst-sci.net/15/1515/2011/hess-15-1515-2011.html Obrir en finestra nova
Resum
Modelling spatial covariance is an essential part of all geostatistical methods. Traditionally, parametric semivariogram models are fit from available data. More recently, it has been suggested to use nonparametric correlograms obtained from spatially complete data fields. Here, both estimation techniques are compared. Nonparametric correlograms are shown to have a substantial negative bias. Nonetheless, when combined with the sample variance of the spatial field under consideration, they yield ...
Citació
Schiemann, R. [et al.]. Geostatistical radar-raingauge combination with nonparametric correlograms: methodological considerations and application in Switzerland. "Hydrology and Earth System Sciences", 19 Maig 2011, vol. 15, p. 1515-1536.
Grup de recerca
CRAHI - Centre de Recerca Aplicada en Hidrometeorologia

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