On the Harvest of Predictability From Land States in a Global Forecast Model-Reference-Cited by-同舟云学术

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On the Harvest of Predictability From Land States in a Global Forecast Model

Published:2018-12-04 Issue:23 Volume:123 Page:
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Dirmeyer Paul A.¹^ORCID,Halder Subhadeep²^ORCID,Bombardi Rodrigo³^ORCID

Affiliation:

1. Center for Ocean‐Land‐Atmosphere StudiesGeorge Mason University Fairfax VA USA

2. K. Banerjee Centre of Atmospheric and Ocean StudiesUniversity of Allahabad Allahabad Uttar Pradesh India

3. Department of GeographyTexas A&M University College Station TX USA

Funder

Climate Program Office

Ministry of Earth Sciences

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018JD029103

Reference60 articles.

1. Revised cloud processes to improve the mean and intraseasonal variability of I ndian summer monsoon in climate forecast system: Part 1

2. Improvements in the representation of the Indian summer monsoon in the NCEP climate forecast system version 2

3. The heated condensation framework as a convective trigger in the NCEP Climate Forecast System version 2

4. Assessing objective techniques for gauge-based analyses of global daily precipitation

5. Role of clouds and land-atmosphere coupling in midlatitude continental summer warm biases and climate change amplification in CMIP5 simulations

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