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NCEP 51-year Hydrological Reanalysis

d607000
 
Abstract:

A 51-year hydrological reanalysis between 1948 and 1998 over the continental US was recently completed at Climate Prediction Center of NCEP, NOAA. The project used Noah land surface model (LSM) with forcing data regridded from NCEP/NCAR Reanalysis data and the new CPC daily and hourly precipitation data. The best available orography, soil and vegetation types, etc. are used as the boundary conditions of this study. The output fields include all components of energy, water mass balance, snow cover and depth, and 4 layers of soil temperature, moisture (both liquid and frozen) below the ground. Three types of data files are archived in this dataset. They include the restart files, the forcing fields to run the Noah Land Surface Model, and the output files from the 1948-1998 runs.

The daily restarting files and the hourly forcing fields are stored on NCAR's High Performance Storage System (HPSS) only.

You can find the Noah LSM used in this study here.

Temporal Range:
1948-01-01 13:00 +0000 to 1998-12-30 23:00 +0000
Variables:
Air Temperature Evaporation Heat Flux Humidity
Incoming Solar Radiation Outgoing Longwave Radiation Precipitation Amount Snow Depth
Snow Melt Snow Water Equivalent Soil Moisture/Water Content Soil Temperature
Surface Pressure Surface Winds
Data Contributors:
DOC/NOAA/NWS/NCEP
National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
Publications:
Fan,Y., H.van den Dool, D. Lohmann, and K. Mitchell, 2006: 1948-1998 US hydrological reanalysis of the Noah Land Data Assimilation System. J. Climate, Vol. 19, 1214-1237. J. Climate, 19, 1214-1237.
Total Volume:
684.57 GB (Entire dataset) Volume details by dataset product
Data Formats:
Related RDA Datasets:
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NCEP/NCAR Global Reanalysis Products, 1948-continuing
-
NCEP North American Regional Reanalysis (NARR)
More Details:
View a more detailed summary of the data, including specific date ranges and locations by parameter
Metadata Record:
Data License:
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