The High-resolution Urban Meteorology for Impacts Dataset - HUMID

The High-resolution Urban Meteorology for Impacts Dataset, HUMID, will be useful for studies examining spatial variability of near surface meteorology and the impacts of urban heat islands across many disciplines including epidemiology, ecology, and climatology. We have explicitly included representation of spatial meteorological variability over urban areas in the contiguous United States (CONUS) as compared to other observation-only gridded meteorology products by employing the High-Resolution Land Data Assimilation System (HRLDAS), which accounts for the fine-scale impacts of spatiotemporally varying land surfaces on weather. Further, we include in situ meteorological observations such as local mesonets to bias correct the HRLDAS output, creating a model-observation fusion product. The data spans 1 January 1981 to 31 December 2018, covering all of CONUS at 1 km grid spacing. The dataset includes daily maximum, minimum, and mean values for a variety of temperature estimates such as 2 m temperature, skin temperature, urban temperatures, as well as specific humidity and surface energy budget terms.

To Access Resource:

Questions? Email Resource Support Contact:

  • Joseph Gum
    jgum@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1981-01-01
    End:  2018-12-31

Keywords

Resource Type dataset
Temporal Range Begin 1981-01-01
Temporal Range End 2018-12-31
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 N/A
Additional Information N/A
Resource Format NetCDF (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 Joseph Gum
Resource Support Email jgum@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 Newman, Andrew
Kalb, Christina
Fitch, Amy
Darrow, Lyndsey A.
Warren, Joshua L.
Strickland, Matthew J.
Monaghan, Andrew J.
Chang, Howard H.
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 2024-03-01
Digital Object Identifier (DOI) https://doi.org/10.5065/JF2T-6F61
Alternate Identifier ds314.8
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-03-08T18:05:02-07:00
Metadata Record Identifier edu.ucar.rda::ds314.8
Metadata Language eng; USA
Suggested Citation Newman, Andrew, Kalb, Christina, Fitch, Amy, Darrow, Lyndsey A., Warren, Joshua L., Strickland, Matthew J., Monaghan, Andrew J., Chang, Howard H.. (2024). The High-resolution Urban Meteorology for Impacts Dataset - HUMID. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/JF2T-6F61. Accessed 26 July 2024.

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