CFS gridMET

Dataset:

• CFS gridMET

Description: Surface meteorological forecast dataset of 48-ensemble members of CFS forecasts bias corrected to gridMET statistics.

Organization: University of California Merced (UCM)

Documentation: Google Doc Documentation of CFS gridmet methods

Website: UCM Applied Climate Lab Website

Data: CFS gridMET Catalog on THREDDS Server

Google Earth Engine: 

• CFS GRIDMET is not publicly available on Google Earth Engine yet. Climate Engine accesses this data as a private GEE asset.

Spatial resolution: 4-km grid (1/24-deg)

Time Span: Next 1-28 days (updated every day)

Variables:

• Minimum/Maximum Temperature
• Precipitation
• Specific Humidity
• Downward Solar Radiation
• Near Surface Wind Velocity
• ASCE Grass Reference Evapotranspiration
• Energy Release Component(model-G)
• Burning Index (model-G)
• 100-hr & 1000-hr Fuel Moisture (model-G)
• Vapor Pressure Deficit
• Evaporative Demand Drought Index

Terms of Use:

• CC BY 4.0

References:

• Abatzoglou J. T. "Development of gridded surface meteorological data for ecological applications and modelling". International Journal of Climatology. (2011) doi: 10.1002/joc.3413.(Abstract)
• Saha, Suranjana and Coauthors, 2010: The NCEP Climate Forecast System Reanalysis. Bull. Amer. Meteor. Soc., 91, 1015.1057. doi: 10.1175/2010BAMS3001.1