Observing System Simulation Experiments for NPOESS
Michiko Masutani, John C. Woollen, John C. Derber, Stephen J. Lord (PI)
NOAA/NWS/NCEP/EMC, Camp Springs, MD
Joseph Terry, Robert Atlas
NASA/GSFC/DAO, Greenbelt, MD
Sidney A. Wood, Steven Greco, G. David Emmitt
Simpson Weather Associates, Charlottesville, VA
Thomas J. Kleespies
NOAA/NESDIS, Camp Springs, MD
http://www.emc.noaa.gov:8000/research/osse
OSSE:
NPOESS:
Table and results of data withdrawal experiments
The results need to be repeated by simulated data and must produce similar
results to conduct reliable OSSE.
Evaluate impact of TOVS radiance, RAOB temperature and RAOB wind
NCEP operational data assimilation system March 99 version.
T62 28 level model with TOVS 1B data
TOVS radiance has wider impact than RAOB temperature
RAOB wind has highest impact on NH
Require more detail analysis for conclusion
Calibration for OSSE
Testing for short period (February 6th and 7th)
Simulated DWL data will be tested with real observations to examine analysis
sensitivity
Evaluation of OSSE results
Standard anomaly correlation by wave number
Diagnostics of cyclone and jets.
Compare extreme events.
Data rejection statistics
Cost benefit in aviation application (flight planning)
Plan
A. Perform sensitivity test for simulated data set for existing Instruments.
B. Perform sensitivity test for simulated data set for future Instruments.
B.1 Test the impact of data density
B.2 Adaptive observing strategies
C. Work on other potential instruments
Cross track infrared counter (CrIS)
Conically scanning Microwave Imager/Sounder (CMIS)
Advanced Technology Microwave Sounder (ATMS)
D. Other seasons and Nature run from other models
Summer need to be tested