Data Publications

ECMWF Joint Observing System Simulation Experiment (OSSE) Nature Run

hasData_Center_Short_Name	UCAR/NCAR/CISL/DSS
hasDataset_Online_Resource	https://rda.ucar.edu/datasets/ds621.0/
hasDataset_Title	ECMWF Joint Observing System Simulation Experiment (OSSE) Nature Run
hasEntry_ID	NCAR_DS621.0
hasReference	Matsutani et al., 2007: Progress in Joint OSSEs. A new nature run and international collaboration. Proceedings of the 18th Conference on Numerical Weather Prediction, Amer. Meteor. Soc., Salt Lake City, UT, , URL: http://ams.confex.com/ams/pdfpapers/124080.pdf.
hasSummary	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.
GCMD Sciencekeywords describing the dataset. Click on Keyword to find similar datasets	Cloud Liquid Water/Ice Sea Level Pressure Atmospheric Pressure Dew Point Temperature Cloud Microphysics Surface Winds Precipitation Clouds Altitude Atmospheric Water Vapor Atmospheric Temperature Skin Temperature Tropospheric Ozone Humidity Snow/Ice Upper Level Winds Surface Temperature GCMD Land Surface Dew Point Temperature Dew Point Temperature Air Quality Vertical Wind Motion Vorticity GCMD Terrestrial Hydrosphere Upper Air Temperature Snow Depth Surface Thermal Properties Convergence/Divergence Hydrostatic Pressure Cloud Frequency Surface Pressure GCMD Atmosphere Cloud Properties Precipitation Amount Land Surface Temperature Geopotential Height Atmospheric Winds Streamfunctions Air Temperature

RDA UCAR Data Publications