NCAR Resarch Data Archive logo

ECMWF Joint Observing System Simulation Experiment (OSSE) Nature Run

d621000
| DOI: 10.5065/PPHS-MX30
 
Ask a Question
Abstract:

A broad group of US and international partners organized and agreed to have ECMWF compute a high resolution global gridded dataset that serves as a reference dataset for general and collaborative observing system simulation experiments (OSSE). This model output is termed "Nature Run", because it is intended to be a best representation possible of the true environmental conditions. The temporal and spatial resolution are sufficient so the data may be used as an experimental samples and validation data for planning future observing systems. It is especially valuable for assessing future satellite systems.

Temporal Range:
2005-05-01 00:00:00 to 2006-06-01 00:00:00
Usage Restrictions:

This data must not be used for commercial purposes and redistribution rights are not given. ECMWF and Joint OSSEs must be given credit in any publications in which this data is used. NCAR will track users and informed to ECMWF and Joint OSSE. If you are interested in using the data set it is necessary to send email with the statement below, and your name and affiliation to to Michiko Masutani (michiko.masutani@noaa.gov). Your name will be added to the user list and sent to ECMWF.

"I agree not to copy the ECMWF data or software provided by NCAR for the use of other people, and I agree not to use these data and/or software for commercial purposes. ECMWF will be given credit in any publications in which these data and/or software are used. I understand that if other people in the same organization wish to use these data and/or software, they must also sign a copy of this agreement. "

Variables:
Air Temperature Cloud Frequency Cloud Liquid Water/Ice Convergence
Dew Point Temperature Geopotential Height Humidity Hydrostatic Pressure
Precipitation Amount Sea Level Pressure Skin Temperature Snow Depth
Streamfunctions Surface Pressure Surface Winds Tropospheric Ozone
Upper Air Temperature Upper Level Winds Vertical Wind Velocity/Speed Vorticity
Data Types:
Grid
Data Contributors:
ECMWF
European Centre for Medium-Range Weather Forecasts
 |  DOC/NOAA/NWS/NCEP
National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
Related Resources:
Publications related to joint OSSE
References
NASA OSSE Home Page
Joint OSSE Home Page
Publications:
Masutani, M., E. Andersson, J. Terry, O. Reale, J. C. Jusem, L. P. Riishojgaard, T. Schlatter, A. Stoffelen, J. S. Woollen, S. Lord, Z. Toth, Y. Song, D. Kleist, Y. Xie, N. Prive, L. Liu, H. Sun, G. D. Emmit, S. Greco, S. A. Wood, G.-J. Marseille, R. Errico, R. Yang, G. McConaughy, D. Devenyi, S. Weygandt, A. Tompkins, T. Jung, V. Anantharaj, C. Hill, P. Fitzpatrick, F. Weng, T. Zhu, S. Boukabara, 2007: Progress in Joint Observing System Simulation Experiments (OSSEs). A new nature run and international collaboration. Proceedings of the 18th Conference on Numerical Weather Prediction, Amer. Meteor. Soc., Salt Lake City, UT.
Total Volume:
173.77 GB (Entire dataset) Volume details by dataset product
Data Formats:
WMO GRIB1
More Details:
View a more detailed summary of the data, including specific date ranges and locations by parameter
Metadata Record:
Data License:
Data LicenseThis work is licensed under a Creative Commons Attribution 4.0 International 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.