Comparing Approaches to Deal With Non-Gaussianity of Rainfall Data in Kriging-Based Radar-Gauge Rainfall Merging
Author:
Affiliation:
1. Department of Civil Engineering; University of Bristol; Bristol UK
2. Institute of Environmental Engineering, ETH Zürich; Zürich Switzerland
3. Eawag, Swiss Federal Institute of Aquatic Science and Technology; Dübendorf Switzerland
Funder
Seventh Framework Programme
Engineering and Physical Sciences Research Council
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016WR020330/fullpdf
Reference53 articles.
1. Spatial rainfall estimation by linear and non-linear co-kriging of radar-rainfall and raingage data;Azimi-Zonooz;Stochastic Hydrology and Hydraulics,1989
2. A method for delineating and estimating rainfall fields;Barancourt;Water Resources Research,1992
3. Geostatistical merging of rain gauge and radar data for high temporal resolutions and various station density scenarios;Berndt;Journal of Hydrology,2014
4. Technical note: The normal quantile transformation and its application in a flood forecasting system;Bogner;Hydrology and Earth System Sciences,2012
5. A high-resolution rainfall re-analysis based on radar-raingauge merging in the Cévennes-Vivarais region, France;Boudevillain;Journal of Hydrology,2016
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