A hybrid statistical-dynamical framework for meteorological drought prediction: Application to the southwestern United States-Reference-Cited by-同舟云学术

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A hybrid statistical-dynamical framework for meteorological drought prediction: Application to the southwestern United States

Published:2016-07 Issue:7 Volume:52 Page:5095-5110
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Madadgar Shahrbanou¹,AghaKouchak Amir¹,Shukla Shraddhanand²,Wood Andrew W.³,Cheng Linyin⁴,Hsu Kou-Lin¹,Svoboda Mark⁵

Affiliation:

1. Department of Civil and Environmental Engineering; University of California; Irvine California USA

2. Department of Geography; University of California; Santa Barbara California USA

3. Research Applications Laboratory; National Center for Atmospheric Research; Boulder Colorado USA

4. Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder; Boulder Colorado USA

5. National Drought Mitigation Center, University of Nebraska-Lincoln; Lincoln Nebraska USA

Funder

Department of Water Resources

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015WR018547/fullpdf

Reference93 articles.

1. Global warming and changes in risk of concurrent climate extremes: Insights from the 2014 California drought;AghaKouchak;Geophys. Res. Lett.,2014

2. Recognize Anthropogenic Drought;AghaKouchak;Nature,2015

3. The THORPEX Interactive Grand Global Ensemble;Bougeault;Bull. Am. Meteorol. Soc.,2010

4. Predictability and Forecast Skill in NMME;Becker;J. Clim.,2014

5. ENSO signal in continental temperature and precipitation records;Bradley;Nature,1987

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