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
1948-01-01 13:00 +0000 to 1998-12-30 23:00 +0000
|Incoming Solar Radiation
||Outgoing Longwave Radiation
||Snow Water Equivalent
||Soil Moisture/Water Content
National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
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.
Related RDA Datasets:
NCEP/NCAR Global Reanalysis Products, 1948-continuing
NCEP North American Regional Reanalysis (NARR)
Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in RDA citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.