Potential seasonal predictability: Comparison between empirical and dynamical model estimates
Author:
Affiliation:
1. Department of Atmospheric, Oceanic, and Earth Sciences; George Mason University; Fairfax Virginia USA
2. Center for Ocean-Land-Atmosphere Studies; Calverton Maryland USA
3. Climate Prediction Center; NCEP, NWS, NOAA; College Park Maryland USA
Funder
NSF
National Oceanic and Atmospheric Administration
National Aeronautics and Space Administration
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Geophysics
Reference15 articles.
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2. The “Shukla-Gutzler” method for estimating potential seasonal predictability;DelSole;Mon. Weather Rev.,2013
3. The influence of potential evaporation on the variabilities of simulated soil wetness and climate;Delworth;J. Clim.,1988
4. Bootstrap estimated seasonal potential predictability of global temperature and precipitation;Feng;Geophys. Res. Lett.,2011
5. A method for estimating potential seasonal predictability: Analysis of covariance;Feng;J. Clim.,2012
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