Anomaly Kriging Helps to Remove Bias in Spatial Model Runoff Estimates-Reference-Cited by-同舟云学术

Anomaly Kriging Helps to Remove Bias in Spatial Model Runoff Estimates

Published:2020-07 Issue:7 Volume:56 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Loonat Nadir I.¹^ORCID,Van Dijk Albert I. J. M.¹^ORCID,Hutchinson Michael F.¹,Weerts Albrecht H.²³^ORCID

Affiliation:

1. Fenner School of Environment and Society Australian National University Canberra ACT Australia

2. Operational Water Management, Deltares Delft The Netherlands

3. Hydrology and Water Management group, Department of Environmental Sciences Wageningen University and Research Wageningen The Netherlands

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR026240

Reference45 articles.

1. Spatial distribution of soil moisture in a small catchment. Part 1: geostatistical analysis

2. Global-scale regionalization of hydrologic model parameters

3. Hyper-resolution global hydrological modelling: what is next?

4. Burek P. A. deRoo A. &van derKnijff J.(2013).LISFLOOD distributed water balance and flood simulation model revised user manual. ReportEUR 22166 EN/2 the Office for Official Publications of the European Communities website.

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