JMA JRA-55 Reanalysis Data

December 17, 2014
The Japanese Meteorological Agency’s (JMA) Japanese 55-year Reanalysis project (JRA-25) is a reanalysis using the JMA numerical assimilation and forecast system. It covers the period from 1958 to 2013, starting when regular global radiosonde observations first became available. CDS has published the JRA-55 data in the ESGF ana4MIPs project for the purpose of comparing Reanalysis […]

Accelerating Water Map-Making for the ABoVE Field Campaign

July 17, 2014
The new Science Cloud enabled NASA researchers to build surface water maps of Alaska and western Canada for the Arctic Boreal Vulnerability Experiment (ABoVE) in a mere 6 weeks. High-Performance Science Cloud Success Story

ECMWF ERA-Interim Reanalysis Data

April 8, 2014
The European Center for Medium-Range Weather Forecasts’ ERA-Interim reanalysis uses the Integrated Forecast System, cycle 31r2 (IFS-Cy31r2) and covers the period from 1979 to the present. CDS has published the JRA-25 data in the ESGF ana4MIPs project for the purpose of comparing Reanalysis data to other Renalyses, Observational data, and the IPCC AR5 Climate Model […]

JMA JRA-25 Reanalysis Data

April 4, 2014
The Japanese Meteorological Agency’s (JMA) Japanese 25-year Reanalysis project (JRA-25) is a reanalysis using the JMA numerical assimilation and forecast system. It covers the period from 1979 to 2004 with the goal of enhancing the analysis of the Asian region. CDS has published the JRA-25 data in the ESGF ana4MIPs project for the purpose of […]

BioClim Data Published on ESGF

January 8, 2014
This dataset comprises two climate scenarios for the contiguous United States at a resolution of ~800m x 800m, with annual time slices from 2010 to 2100. Data include nineteen bioclimatic variables that are commonly used in ecological analyses.

ECMWF U, V Wind Data Published on ESGF

October 30, 2013
ECMWF U and V winds (ua, va) have now been published in the obs4MIPs project and are available through the NCCS ESGF node. These data are reanalysis data that can be compared to CMIP5 model output.