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GEOS-5 seasonal forecast system.

Authors :
Borovikov, Anna
Cullather, Richard
Kovach, Robin
Marshak, Jelena
Vernieres, Guillaume
Vikhliaev, Yury
Zhao, Bin
Li, Zhao
Source :
Climate Dynamics. Dec2019, Vol. 53 Issue 12, p7335-7361. 27p.
Publication Year :
2019

Abstract

Ensembles of numerical forecasts based on perturbed initial conditions have long been used to improve estimates of both weather and climate forecasts. The Goddard Earth Observing System (GEOS) Atmosphere–Ocean General Circulation Model, Version 5 (GEOS-5 AOGCM) Seasonal-to-Interannual Forecast System has been used routinely by the GMAO since 2008, the current version since 2012. A coupled reanalysis starting in 1980 provides the initial conditions for the 9-month experimental forecasts. Once a month, sea surface temperature from a suite of 11 ensemble forecasts is contributed to the North American Multi-Model Ensemble (NMME) consensus project, which compares and distributes seasonal forecasts of ENSO events. Since June 2013, GEOS-5 forecasts of the Arctic sea-ice distribution were provided to the Sea-Ice Outlook project. The seasonal forecast output data includes surface fields, atmospheric and ocean fields, as well as sea ice thickness and area, and soil moisture variables. The current paper aims to document the characteristics of the GEOS-5 seasonal forecast system and to highlight forecast biases and skills of selected variables (sea surface temperature, air temperature at 2 m, precipitation and sea ice extent) to be used as a benchmark for the future GMAO seasonal forecast systems and to facilitate comparison with other global seasonal forecast systems. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09307575
Volume :
53
Issue :
12
Database :
Academic Search Index
Journal :
Climate Dynamics
Publication Type :
Academic Journal
Accession number :
139568585
Full Text :
https://doi.org/10.1007/s00382-017-3835-2