NCAR Global Climate Four-Dimensional Data Assimilation (CFDDA) Hourly 40 km Reanalysis

ds604.0
| DOI: 10.5065/D6M32STK
 
Abstract:

NCAR Global Climate Four-Dimensional Data Assimilation (CFDDA) Hourly 40 km Reanalysis dataset is a dynamically-downscaled dataset with high temporal and spatial resolution that was created using NCAR's CFDDA system. At the core of the CFDDA system is the 5th generation Pennsylvania State University / NCAR mesoscale model (MM5).

The dataset contains three-dimensional hourly analyses in netCDF format for the global atmospheric state from 1985 to 2005 on a 40 km horizontal grid (0.4 degree grid increment) with 28 vertical levels. As a result, the dataset provides a collection of hourly, meso-beta scale reanalyses files for all the days of the months within the 21-year period, providing good representation of local forcing and the diurnal variation of processes in the planetary boundary layer. At the time of its creation, this was the only reanalysis dataset with full three-dimensional fields available at hourly intervals.

The dataset was generated by continuously assimilating standard surface and upper-air observations. Hourly and 6-hourly surface data and upper-air measurements (primarily 12- and 24-hourly rawinsondes) were assimilated. Initial land surface conditions were based on the NASA Global Land Data Assimilation System (GLDAS) on a 1 degree by 1 degree latitude-longitude grid, compiled using the Noah land surface model (LSM), where GLDAS values for substrate soil moisture and temperature, ground skin temperature, and snow water equivalent were used. Daily sea surface temperatures (SSTs) were specified by the National Centers for Environmental Prediction (NCEP) Version 2.0 global and daily SST dataset defined on a 0.25 degree by 0.25 degree grid.

Temporal Range:
1985-01-01 00:00 +0000 to 2005-12-31 23:00 +0000
Usage Restrictions:

RELEASE POLICY: All uses of this dataset must be properly cited. See "How to Cite this Dataset" section below for examples of different citation styles. Additionally, notify Grace Peng (303-497-1218) of technical reports and submitted publications that use the NCAR Global Climate Four-Dimensional Data Assimilation (CFDDA) Hourly 40 km Reanalysis dataset.

Variables:
Air Temperature Cloud Liquid Water/Ice Heat Flux Humidity
Hydrostatic Pressure Incoming Solar Radiation Land Surface Temperature Longwave Radiation
Planetary Boundary Layer Height Precipitation Amount Precipitation Rate Sea Level Pressure
Snow Depth Soil Moisture/Water Content Soil Temperature Surface Winds
Total Precipitable Water Upper Air Temperature Upper Level Winds Vertical Wind Velocity/Speed
Vertical Levels:
See the detailed metadata for level information.
Data Types:
Grid
Spatial Coverage:
Longitude Range: Westernmost=180W Easternmost=180E
Latitude Range: Southernmost=90S Northernmost=90N Detailed coverage information
Data Contributors:
UCAR/NCAR/RAP
Research Application Program, National Center for Atmospheric Research, University Corporation for Atmospheric Research
 |  DOD/DTRA
Defense Threat Reduction Agency, U.S. Department of Defense
 |  UCAR/NCAR/MMM
Mesoscale and Microscale Meteorology, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Total Volume:
26.98 TB
Data Formats:
Related RDA Datasets:
 - 
NCEP/DOE Reanalysis 2 (R2)
 - 
NCEP ADP Operational Global Upper Air Observations, December 1972 - February 2007
 - 
NOAA Profiler Network (NPN) Observations, 1992May-continuing
 - 
NCEP ADP Operational Global Surface Observations, February 1975 - February 2007
More Details:
View a more detailed summary of the data, including specific date ranges and locations by parameter
Metadata Record:
Data License:
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.