edu.ucar.opensky::articles:42404
UCAR/NCAR - Library
OpenSky Support
PO Box 3000
Boulder
CO
80307-3000
opensky@ucar.edu
http://opensky.ucar.edu/
homepage
pointOfContact
2025-12-24T17:59:46.616102
ISO 19115-2 Geographic Information - Metadata - Part 2:
Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
https://n2t.net/ark:/85065/d76q22j0
https://doi.org/10.25380/iastate.c.6005185.v1
https
Related Dataset #1
A global 1 km resolution daily near-surface air temperature dataset (2003 â 2020)
https://doi.org/10.3334/ORNLDAAC/1328
https
Related Dataset #2
Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3
https://doi.org/10.3334/ORNLDAAC/2129
https
Related Dataset #3
Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 R1
https://doi.org/10.5065/JF2T-6F61
https
Related Dataset #4
The High-resolution Urban Meteorology for Impacts Dataset - HUMID
https://doi.org/10.5066/F7DF6PQS
https
Related Dataset #5
Global 30 Arc-Second Elevation (GTOPO30)
https://doi.org/10.5067/6J5LHHOHZHN4
https
Related Dataset #6
NLDAS Primary Forcing Data L4 Hourly 0.125 x 0.125 degree, Version 002
https://doi.org/10.5281/zenodo.10825221
https
Related Software #1
Code for the High-resolution Urban Meteorology for Impacts Dataset (HUMID) over the Conterminous United States
https://doi.org/10.5281/zenodo.1288569
https
Related Software #2
The GIS4WRF Plugin
The High-resolution Urban Meteorology for Impacts Dataset (HUMID) daily for the conterminous United States
2024-12-01T00:00:00Z
publication
https://n2t.net/ark:/85065/d76q22j0
https://doi.org/10.1038/s41597-024-04086-2
Newman, Andrew J.
author
Kalb, Christina
author
Chakraborty, T.
author
Fitch, A.
author
Darrow, L. A.
author
Warren, J. L.
author
Strickland, M. J.
author
Holmes, H. A.
author
Monaghan, A. J.
author
Chang, H. H.
author
UCAR/NCAR - Library
publisher
<p><span style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);color:rgb(34, 34, 34);display:inline !important;float:none;font-family:-apple-system, "system-ui", "Segoe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica Neue", sans-serif;font-size:18px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;">Many current gridded surface meteorological datasets are inadequate for quantifying near-surface spatiotemporal variability because they do not fully represent the impacts of land surface heterogeneity. Of note, explicit representation of the spatial structure and magnitude of local urban warming are usually lacking. Here we enhance the representation of spatial meteorological variability over urban areas in the conterminous United States (CONUS) by employing the High-Resolution Land Data Assimilation System (HRLDAS), which accounts for the fine-scale impacts of spatiotemporally varying land surfaces on weather. We also synthesize </span><em><i style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(34, 34, 34);font-family:-apple-system, "system-ui", "Segoe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica Neue", sans-serif;font-size:18px;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;">in situ</i></em><span style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);color:rgb(34, 34, 34);display:inline !important;float:none;font-family:-apple-system, "system-ui", "Segoe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica Neue", sans-serif;font-size:18px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;"> meteorological data including local mesonets to create a 1âkm grid spacing model-observation fusion product spanning 1981â2018 over the CONUS at daily temporal resolution. Daily maximum, minimum, and mean values for a variety of temperature estimates, humidity, and surface energy budget terms, among others, are included. This 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.</span></p>
UCAR/NCAR - Library
OpenSky Support
PO Box 3000
Boulder
CO
80307-3000
opensky@ucar.edu
http://opensky.ucar.edu/
homepage
pointOfContact
PDF
Text
theme
Resource Type
2016-01-01T00:00:00Z
publication
<span style="font-family:Arial;font-size:10pt;font-style:normal;" data-sheets-root="1">Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</span>
None
eng
geoscientificInformation