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NOAA URMA analysis, virtual

map-optimized · low-latency
ID
noaa-urma-analysis-virtual
Spatial domain Continental United States
Spatial resolution 2.5 km
Time domain 2017-05-02 00:00:00 UTC to Present
Time resolution 1 hour

STAC (browse) · validation report

The Unrestricted Mesoscale Analysis (URMA) is NOAA NCEP's hourly analysis of near-surface weather conditions, incorporating observations received after the RTMA analysis.

Hourly near-surface analyses incorporating observations received after RTMA, on the 2.5 km CONUS Western Expansion grid from 2017-05-02 onward. This virtual dataset references NOAA's GRIB files and is optimized for spatial (map) access. It contains 14 analysis fields, including significant wave height, with dimensions time, y, and x on the native Lambert Conformal Conic projection. Precipitation is not included.

Examples

RTMA, RTMA-RU and URMA analyses (Github)
RTMA, RTMA-RU and URMA analyses (Colab)
import dynamical_catalog  # dynamical-catalog>=0.8.0

ds = dynamical_catalog.open("noaa-urma-analysis-virtual", chunks=None)
ds["temperature_2m"].sel(time="2025-01-01T00")
NOAA URMA analysis, virtual · Temperature map

Explore

Dimensions

min max units
time 2017-05-02T00:00:00Z Present seconds since 1970-01-01
x -3271147.288 2681916.544 m
y -263797.503 3789568.485 m

Variables

Access a variable by its name (the bold identifier, e.g. ds["cloud_ceiling_height"]).

Dimensions: time × y × x

variable units
cloud_ceiling_height Ceiling (ceil) m
dew_point_temperature_2m 2 metre dewpoint temperature (2d) degree_Celsius
geopotential_height_surface Geopotential height (gh) m
pressure_surface Surface pressure (sp) Pa
significant_wave_height_surface Significant height of combined wind waves and swell (swh)NaN where no wave analysis is made, such as over land and ice-covered water. m
specific_humidity_2m Specific humidity (q) 1
temperature_2m 2 metre temperature (2t) degree_Celsius
total_cloud_cover_atmosphere Total cloud cover (tcc) percent
visibility_surface Visibility (vis) m
wind_direction_10m 10 metre wind direction (10wdir)Direction the wind blows from, clockwise from true north. degree
wind_gust_10m Wind speed (gust) (gust) m s-1
wind_speed_10m 10 metre wind speed (10si) m s-1
wind_u_10m 10 metre U wind component (10u)Velocity along the model grid's x dimension, not eastward velocity. m s-1
wind_v_10m 10 metre V wind component (10v)Velocity along the model grid's y dimension, not northward velocity. m s-1

Don't see what you're looking for? Let us know at [email protected].

Details

License

Dataset licensed under CC BY 4.0.

Attribution and citation

NOAA NWS NCEP URMA data processed by dynamical.org from NOAA Open Data Dissemination archives.

Or NOAA URMA from dynamical.org.

DOI

Construction

Hourly URMA analyses incorporate observations received after RTMA. They are represented as virtual references to NOAA's CONUS Western Expansion GRIB files, on their native 2345 by 1597 Lambert Conformal Conic grid. Each chunk contains one complete field at one analysis time. The 14 fields include temperature, dew point, specific humidity, surface pressure, terrain height, wind, cloud cover, ceiling, visibility, and significant wave height. Precipitation is not included.

Wind components are grid-relative; wind direction is relative to true north. Ceiling and visibility retain the source's finite values. Their historical bounds vary, and ceiling's vertical reference is not established for this archive. Consult the validation report before interpreting these fields across eras.

Source

Source files are provided by NOAA Open Data Dissemination in the public NOAA URMA archive.

Data availability

The archive begins at 2017-05-02 00:00 UTC and updates hourly. Missing source files remain gaps. Significant wave height begins at 2018-12-03 12:00 UTC; earlier fields are excluded because they mix land zeros with calm-water zeros. Wave height is missing where no wave analysis is made, including land and ice-covered water. Great Lakes wave values begin at 2020-07-27 12:00 UTC. See the validation report for checked coverage, source-archive gaps, and historical field limitations.

Storage

Storage for this dataset is generously provided by AWS Open Data.

Chunks

This dataset is stored in Zarr format, which splits each variable into a grid of chunks — the smallest unit read from storage. When possible, aligning your reads with this dataset's chunk grid can significantly improve data access speed.

The element count and coordinate span of this dataset:

dimension chunk
time 1 (1 hour)
y 1597 (4055.91 km)
x 2345 (5955.6 km)
uncompressed 28.6 MiB

Validation report

Review the validation report for variable availability, missing data, known quirks, fill values, value distributions, and sample plots.

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