Ensemble Dressing of North American Land Data Assimilation version 2 (EDN2)

Most datasets of surface meteorology are deterministic, yet many applications using these datasets require or can benefit from uncertainty estimates in meteorological fields. Motivated by this gap, we applied a locally-weighted spatial regression technique with the widely-used North American Land Data Assimilation version 2 (NLDAS-2) dataset values to generate ensemble estimates for daily precipitation, daily mean temperature, and diurnal temperature range. The approach is a form of ensemble dressing. This uncertainty dataset and methods from this work are made publicly available to support research such a data assimilation or model uncertainty studies.

The dataset includes a 100-member ensemble for daily precipitation, temperature and diurnal temperature range at 1/8th degree for the NLDAS-2 domain (25 to 53 North, 125 to 67 West), for the time period 1979-2019. It also includes the spatial regression coefficients and other inputs needed to run the Gridded Meteorological Ensemble Tool (GMET) used to generate the ensembles. A limited number of summary statistical analyses of the dataset are also included.

To Access Resource:

Questions? Email Resource Support Contact:

  • Chi-Fan Shih
    chifan@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1979-01-01T00:00:00Z
    End:  2019-12-31T00:00:00Z

Keywords

Resource Type dataset
Temporal Range Begin 1979-01-01T00:00:00Z
Temporal Range End 2019-12-31T00:00:00Z
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Related Resource #1 : The computer code used for this project is at https://github.com/NCAR/GMET.

Additional Information N/A
Resource Format NetCDF4 (Binary)
Standardized Resource Format NetCDF
Asset Size 0.00 MB
Legal Constraints

Use of this dataset is subject to UCAR's Terms of Use, except that commercial use is generally not prohibited.


Access Constraints Registration on the RDA web site is a requirement for access to the data.
Software Implementation Language N/A

Resource Support Name Chi-Fan Shih
Resource Support Email chifan@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author Liu, Hongli
Wood, Andrew W.
Newman, Andrew J.
Clark, Martyn P.
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 2021-05-19
Digital Object Identifier (DOI) https://doi.org/10.5065/KARJ-0E19
Alternate Identifier ds613.0
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress onGoing
Metadata Date 2024-01-03T15:11:51-07:00
Metadata Record Identifier edu.ucar.rda::ds613.0
Metadata Language eng; USA
Suggested Citation Liu, Hongli, Wood, Andrew W., Newman, Andrew J., Clark, Martyn P.. (2021). Ensemble Dressing of North American Land Data Assimilation version 2 (EDN2). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/KARJ-0E19. Accessed 01 March 2024.

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