NCAR Resarch Data Archive logo

NCAR MMM 10-member, 3 km, experimental real-time ensemble prediction system

ds300.0
| DOI: 10.5065/D68C9TZ3
 
Abstract:

Since April 2015, NCAR's Mesoscale and Microscale Meteorology (MMM) Laboratory, in collaboration with NCAR's Computational Information Systems Laboratory (CISL), has been producing daily, real-time, 10 member, 48 hour ensemble forecasts with 3 km horizontal grid spacing over the conterminous United States (http://ensemble.ucar.edu). Selected post-processed 2D fields and select soundings are available.

Temporal Range:
2015-04-07 00:00 +0000 to 2018-01-01 00:00 +0000 (Entire dataset) Period details by dataset product
Updates:
Irregularly
Variables:
Air Temperature Cloud Top Temperature Dew Point Temperature Freezing Rain
Hail Heat Flux Lightning Planetary Boundary Layer Height
Precipitation Amount Radar Reflectivity Rain Sea Level Pressure
Sleet Snow Snow Depth Snow Water Equivalent
Snow Water Equivalent Surface Winds Total Precipitable Water Tropopause
Vertical Wind Velocity/Speed Visibility Vorticity Wind Shear
Data Contributors:
UCAR/NCAR/MMM
Mesoscale and Microscale Meteorology, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Publications:
Schwartz, C. S., G. S. Romine, R. A. Sobash, K. R. Fossell, and M. L. Weisman, 2015: NCAR’s experimental real-time convection-allowing ensemble prediction system Wea. Forecasting, 30, 1645-1654 (DOI: 10.1175/WAF-D-15-0103.1).

Total Volume:
74.68 TB (Entire dataset) Volume details by dataset product
Data Formats:
More Details:
View a more detailed summary of the data, including specific date ranges and locations by parameter
Metadata Record:
Data License:
Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in RDA citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.