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Global multivariate point pattern models for rain type occurrence

  • Published:2019-06 Issue: Volume:31 Page:100355
  • ISSN:2211-6753
  • Container-title:Spatial Statistics
  • language:en
  • Short-container-title:Spatial Statistics

Author:

Jun Mikyoung,Schumacher Courtney,Saravanan R.

Funder

NSF

NIH

NASA

Texas A&M University

NASA Modeling, Analysis and Prediction Program

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Statistics and Probability

Reference75 articles.

1. Convective and stratiform components of the precipitation-moisture relationship;Ahmed;Geophys. Res. Lett.,2015

2. Geographical differences in the tropical precipitation-moisure relationship and rain intensity onset;Ahmed;Geophys. Res. Lett.,2017

3. Cross-covariance functions for multivariate random fields based on latent dimensions;Apanasovich;Biometrika,2010

4. Rain type classification algorithm for TRMM precipitation radar;Awaka;Geosci. Remote Sens.,1997

5. Gaussian predictive process models for large spatial data sets;Banerjee;J. R. Stat. Soc. Ser. B Stat. Methodol.,2008

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