A Bayesian kriging approach for blending satellite and ground precipitation observations-Reference-Cited by-同舟云学术

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A Bayesian kriging approach for blending satellite and ground precipitation observations

Published:2015-02 Issue:2 Volume:51 Page:908-921
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Verdin Andrew¹,Rajagopalan Balaji¹²,Kleiber William³,Funk Chris⁴⁵

Affiliation:

1. Department of Civil, Environmental, and Architectural Engineering; University of Colorado; Boulder Colorado USA

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

3. Department of Applied Mathematics; University of Colorado; Boulder Colorado USA

4. U.S. Geological Survey, Earth Resources Observation and Science Center; Sioux Falls South Dakota USA

5. Climate Hazards Group, Geography Department; University of California; Santa Barbara California USA

Funder

NOAA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2014WR015963/fullpdf

Reference53 articles.

1. The Version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-Present);Adler;J. Hydrometeorol.,2003

2. Global tropical rain estimates from microwave-adjusted geosynchoronous IR data;Adler;Remote Sens. Rev.,1994

3. Validation of Bayesian kriging of arsenic, chromium, lead, and mercury surface soil concentrations based on internode sampling;Aelion;Environ. Sci. Technol.,2009

4. Evaluation of satellite-retrieved extreme precipitation rates across the central United States;AghaKouchak;J. Geophys. Res.,2011

5. Estimating climatic-scale precipitation from space: A review;Arkin;J. Clim.,1989

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