| dataFormat | NetCDF |
| authority | edu.ucar.gdex |
| featureType | GRID |
| dataSize | 297582248 |
| id | files/d314008/199603/conus_HUMID_19960311.nc4 |
Dataset: conus_HUMID_19960311.nc4
Catalog: /thredds/catalog/files/d314008/199603/catalog.html
Access:
| Service | Type | Description |
|---|---|---|
| OpenDAP | Data Access | Access dataset through OPeNDAP using the DAP2 protocol. |
| DAP4 | Data Access | Access dataset using the DAP4 protocol. |
| NetcdfSubset | Data Access | A web service for subsetting CDM scientific grid datasets. |
| CdmRemote | Data Access | Provides index subsetting on remote CDM datasets, using ncstream. |
| CdmrFeature | Data Access | Provides coordinate subsetting on remote CDM Feature Datasets, using ncstream. |
| WCS | Data Access | Supports access to geospatial data as 'coverages'. |
| WMS | Data Access | Supports access to georegistered map images from geoscience datasets. |
| HTTPServer | Data Access | HTTP file download. |
| ISO | Metadata | Provide ISO 19115 metadata representation of a dataset's structure and metadata. |
| NCML | Metadata | Provide NCML representation of a dataset. |
| UDDC | Metadata | An evaluation of how well the metadata contained in the dataset conforms to the NetCDF Attribute Convention for Data Discovery (NACDD) |
Viewers:
| Viewer | Type | Description |
|---|---|---|
| Godiva3 | Browser | |
| default_viewer.ipynb | Jupyter Notebook | The TDS default viewer attempts to plot any Variable contained in the Dataset. |
Description:
- Rights: Freely Available
- summary: 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. The full variable list with corresponding file and variable metadata is in this file.
- NCAR GDEX - The High-resolution Urban Meteorology for Impacts Dataset - HUMID(d314008)
Dates:
- modified : 2024-10-24T18:33:48.483Z
Creators:
Publishers:
-
NCAR/GDEX
- email: datahelp@ucar.edu
- http://gdex.ucar.edu/