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NASA GMAO S2S Prediction System Hindcast and Near-Real Time Operations Strategy

Authors :
Kovach, Robin
Gerner, Lyn
Pfaff, Bruce E
Achuthavarier, Deepthi
Akella, Santha R
Andrews, Lauren
Barahona, Donifan
Borovikov, Anna
Chang, Yehui
Cullather, Richard
Hackert, Eric
Koster, Randal
Li, Zhao
Lucchesi, Rob
Marshak, Jelena
Molod, Andrea
Pawson, Steven
Putman, Bill
Schubert, Siegfried
Suarez, Max
Thompson, Matt
Trayanov, Atanas
Vernieres, Guillaume
Vikhliaev, Yury
Wang, Hailan
Zhao, Bin
Publication Year :
2018
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2018.

Abstract

In this presentation we present an overview of the GMAO Sub-Seasonal and Seasonal Prediction System with a focus on the computing time and resources and actual time it takes to complete a full set of hindcasts. The goal is to come up with some solutions to allow us to run more ensemble members for the next version of the system which will be higher resolution and take many more resources.

Subjects

Subjects :
Geosciences (General)

Details

Language :
English
Database :
NASA Technical Reports
Notes :
NNG11HP16A, , NNG13HQ01C, , NNG17HP01C
Publication Type :
Report
Accession number :
edsnas.20180003460
Document Type :
Report