CFS Reanalysis

Overview
Extent
    Global
Spatial Resolution
    28.8km before 2011; 19.2km after 2011
Data Source(s)
    National Centers for Environmental Prediction (NCEP)
Science Partner

Description

Climate Forecast System (CFS) Reanalysis is a fully coupled model which incorporates interactions between the Earth’s atmosphere, oceans, land and sea ice (Saha et al., 2010). There exist two versions of this model, version 1 (Saha et al., 2006; Saha et al., 2010) and version 2 (Saha et al., 2014). CFS version 1 began use in August 2004 and CFS version 2 began use in March 2011. CFS provides various primary and derived climate variables.

 

Max Temperature: Max Daily air temperature at 2m

Min Temperature: Min Daily air temperature at 2m

Mean Temperature: Mean Daily air temperature at 2m

Potential Evaporation: At surface potential evaporation (depth)

Precipitation: Daily Precipitation total (depth)

Specific Humidity: The ratio of the mass of water vapor to the total mass of air for a unit volume (kg/kg)

Max Specific Humidity: The ratio of the mass of water vapor to the total mass of air for a unit volume (kg/kg)

Min Specific Humidity:The ratio of the mass of water vapor to the total mass of air for a unit volume (kg/kg)

Soil Moisture: Volumetric water content (volume of water/volume of soil). Available at 5cm, 25cm, 70cm, or 150cm depths.

Wind: Daily mean horizontal wind speed at 10m height. Available for the northern wind component (v) or the eatsern wind component (u).

Radiation: At surface daily mean radiation  (W/m^2). Available for upward shortwave, upward longwave, downward shortwave, downward longwave, and net radiation.

Latent Heat Flux: Component of available energy used for evapotranspiration (W/m^2)

Sensible Heat Flux: Component of available energy used for changing surface temperature (W/m^2)

Technical Information

Feature
Detail
Extent
Global
Period of Record
1979-present
Spatial Resolution
28.8km before 2011; 19.2km after 2011
Temporal Resolution
Daily
Data Summaries
max, min, mean, median, anomalies, trend and statistical significance, spatial and temporal aggregations, time series, standardized indices
Data Source(s)
National Centers for Environmental Prediction (NCEP)
Data Formats
raster (geotiff), raster tile (tile ID), time series (.csv, .xls, .json, .geojson)
Sources

Saha, Suranjana, and Coauthors, 2010: The NCEP Climate Forecast System Reanalysis. Bull. Amer. Meteor. Soc., 91, 1015.1057. doi: 10.1175/2010BAMS3001.1

Saha, S., Nadiga, S., Thiaw, C., Wang, J., Wang, W., Zhang, Q., … & Stokes, D. (2006). The NCEP climate forecast system. Journal of Climate, 19(15), 3483-3517.

Saha, S., Moorthi, S., Wu, X., Wang, J., Nadiga, S., Tripp, P., … & Ek, M. (2014). The NCEP climate forecast system version 2. Journal of climate, 27(6), 2185-2208.

 

End User License Agreement

View the End User License Agreement conditions

Your license is subject to your prior acceptance of either this Licensed Application End User License Agreement (“Standard EULA”), or a custom end user license agreement between you and the Application Provider (“Custom EULA”), if one is provided.

Interested in learning more?

Contact us to start the conversation.

Loading...