ECMWF Joint Observing System Simulation Experiment (OSSE) Nature Run

 

[Summary]

 

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.

 

[Usage and credit]

 

This data must not be used for commercial purposes and re-distribution rights are not given. ECMWF and Joint OSSEs  must be given credit in any publications in which this data is used.  If you are interested in using the data set it is necessary to send E-mail  with the statement below.

Please send following information to Michiko Masutani  (michiko.masutani@noaa.gov).

            your name,

            Email  address,

            Affiliation,

            Title of the project (or how NR will be used)

Then your name will be added to the user list and sent to ECMWF.  The usage permission will be given to individual not to the institute.  Therefore, everyone has to submit above information.

 
"I agree not to copy the ECMWF data for the use of other persons, 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 persons in my organization wish to use these data and/or software, they must also sign a copy of this agreement."

           

 

[Background]

 

The nature runs are used for proxy truth for Observing System Simulation Experiments (OSSE).  Joint OSSE is an international collaboration.   The first three nature runs, T511NR, T799NRApr06, T799NROct05 have been produced by ECMWF and verification data are also provided.

 

Data assessment using simulation experiments are able to provide a quantitative evaluation of future observing systems and instruments as well as existing observing systems and data assimilation systems (DAS).  These experiments are known as Observing System Simulation Experiments (OSSEs).  Through OSSEs, future observing systems will be designed to optimize the use of data assimilation systems and forecast models to improve weather forecasts. By using OSSEs, current operational data assimilation systems can be prepared to handle data from new sources and the operational use of data from future instruments and observing systems can be accelerated. Preparations include handling the expected volume of future data and the development of database, data processing (including formatting), and quality control systems.

 

The Joint Center for Satellite Data Assimilation (JCSDA), a collaboration between NOAA and NASA, recognized that it is very important that future observing systems be tested by OSSEs.   Now EMC, NASA/GMAO, JCSDA, NESDIS/ORA, NASA/SIVO, NASA/ GLA, SWA, ECMWF(UK),  NOAA/ESRL (Boulder ), KNMI,   and GRI in University of Mississippi are working together to further this goal.  JMA and Meteo France, and the Met Office (UK) are also participating in the effort.   Collectively the contributors call this the "Joint OSSEs".  

 

The important starting component of OSSE is the nature run, which serves as “truth” for the OSSEs.  Through various previous  OSSEs, it has been realized that preparation of the nature run consumes a significant amount of effort   It is important to have a reference nature run so that multiple groups doing OSSE’s can compare results. Therefore using the same nature run and extended international collaboration within the meteorological community are essential for timely and reliable OSSEs  that will positively impact the design of future observing systems.

 

The Joint OSSE group agreed that the nature run should  use  a free forecast run that is forced by daily SST and sea ice, more details are available at

http://www.emc.ncep.noaa.gov/research/osse/NR/record/TWS.OSSE_truth.060921.html

 

[Data distribution]

 

The complete data for T511NR and T799NR are saved at ECMWF, NCEP, NASA/GSFC, and ESRL.  Model level data and surface data are saved as a reduced gaussian grid.   Regular lat-lon grid data for pressure levels, isentropic levels and surface data are also provided for verification purposes.

 

The Nature Run is also available scientists do not have account at ECMWF,NCEP,NASA/GSFC, or ESRL .

 

Access to the complete data is available from the NASA/GSFC portal system:

http://portal.nccs.nasa.gov/osse

Requires a user name and password.

Contact person Harper Pryor (Harper.Pryor@nasa.gov)

 

 

Gradsdods access:

T511NR model resolution data are also available from the OPeNDAP server

http://opendap.nccs.nasa.gov:9090/dods/OSSE/T511/

Gradsdods access is available for T511 NR. The data can be down loaded  in grib1, NetCDF,  binary.  The data can be retrieved  globally or selected region. 

            Provide IP number to :Arlindo da Silva (Arlindo.Dasilva@nasa.gov)

 

 

T511NR verification data and cloud are saved at NCAR Mass Storage Systems.  The ID for the data set is  ds621.0.  NCAR computer account is required for  access to the data.

 

 

[Contacts]

 

US contact:

                        Michiko Masutani michiko.masutani@noaa.gov 

ECMWF:

                        Erik Andersson         Erik.Andersson@ECMWF.int

NASA SIVO portal system:

                        Harper Pryor  Harper.Pryor@nasa.gov

NASA/GSFC the OPeNDAP server

                        Arlindo da Silva (Arlindo.Dasilva@nasa.gov)

 

NCAR:  Steve Worley (worley@ucar.edu)

 

 

 

[References]

 

Masutani, M, J. S. Woollen,S.J. Lord, T. J. Kleespies, G. D. Emmitt,  H. Sun,  S. A. Wood, S. Greco, J. Terry, R. Treadon, K. A. Campana 2006: Observing System Simulation Experiments at NCEP, NCEP Office note No.451. http://www.emc.ncep.noaa.gov/research/osse/NR/references/Masutani.2006.on451.pdf

 

 

Masutani et al, 2007: Progress in Joint OSSEs.  A new nature run and international collaboration. AMS preprint.  18th Conference on Numerical Weather Prediction  25 June 2007 -  29 June 2007, Park City, UT

http://ams.confex.com/ams/pdfpapers/124080.pdf

 

Errico M. Ronald, Runhua Yang, Michiko Masutani,  and John S. Woollen 2007:The Estimation of Analysis Error Characteristics Using an Observation System Simulation Experiment.  To be published by Gebrüder Borntræger in December 2007

 

Oreste et al 2007: Preliminary evaluation of the European Centre for Medium-Range Weather Forecast (ECMWF) Nature Run over the Tropical Atlantic and African Monsoon region.  Conditionally accepted by  Geo. Res. Letter

 

The list of  OSSE related references are available at

http://www.emc.ncep.noaa.gov/research/JointOSSEs/references/

 

[Related link]

Progress and meeting notes are posted at

http://www.emc.ncep.noaa.gov/research/JointOSSEs

NASA OSSE home page

http://sivo.gsfc.nasa.gov/OSSE/index.html

 

THORPEX OSSE home page

http://www.emc.ncep.noaa.gov/research/THORPEX/osse

 

 

Michiko Masutani Ph.D. (RSIS)

NOAA/NWS/NCEP/EMC

5200 Auth Rd. Rm 207 Camp Springs MD 20746

michiko.masutani@noaa.gov

Office: (301)763-8000x7551

   Cell: (240)413-6727

   Fax:  (301)763-8545