The stationarity of two statistical downscaling methods for precipitation under different choices of cross-validation periods-Reference-Cited by-同舟云学术

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The stationarity of two statistical downscaling methods for precipitation under different choices of cross-validation periods

Published:2017-12-06 Issue: Volume:38 Page:e330-e348
ISSN:0899-8418
Container-title:International Journal of Climatology
language:en
Short-container-title:Int. J. Climatol

Author:

Wang Yaoping¹^ORCID,Sivandran Gajan¹²,Bielicki Jeffrey M.¹²³^ORCID

Affiliation:

1. Environmental Sciences Graduate Program; The Ohio State University; Columbus OH USA

2. Department of Civil, Environmental, and Geodetic Engineering; The Ohio State University; Columbus OH USA

3. John Glenn College of Public Affairs; The Ohio State University; Columbus OH USA

Publisher

Wiley

Subject

Atmospheric Science

Reference95 articles.

1. Propagation of biases in climate models from the synoptic to the regional scale: implications for bias adjustment;Addor;J. Geophys. Res. Atmos.,2016

2. Amante C Eakins BW 2009 10.7289/V5C8276M

3. Examination of change factor methodologies for climate change impact assessment;Anandhi;Water Resour. Res.,2011

4. Comparing regional precipitation and temperature extremes in climate model and reanalysis products;Angélil;Weather Clim. Extremes,2016

5. Influence of large-scale flow regimes on cool-season precipitation in the northeastern United States;Archambault;Mon. Weather Rev.,2008

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