Observing system simulation experiments at the National Centers for Environmental Prediction

[1] Observing system impact assessments using atmospheric simulation experiments are conducted to provide an objective quantitative evaluation of future observing systems and instruments. Such simulation experiments using a proxy true atmosphere, Nature Run, are known as observing system simulation experiments (OSSEs). Through OSSEs, future observing systems that effectively use data assimilation systems in order to improve weather forecasts can be designed. Various types of simulation experiments have been performed in the past by many scientists, but the OSSE at the National Centers for Environmental Prediction (NCEP) presented in this paper is the most extensive and complete OSSE. The agreement between data impacts from simulated data and the corresponding real data is satisfactory. The NCEP OSSE is also the first OSSE where radiance data from satellites were simulated and assimilated. Since a Doppler wind lidar (DWL) is a very costly instrument, various simulation experiments have been funded and performed. OSSEs that evaluate the data impact of DWL are demonstrated. The results show a potentially powerful impact from DWL. In spite of the many controversies regarding simulation experiments, this paper demonstrates that carefully constructed OSSEs are able to provide useful information that influences the design of future observing systems. Various factors that affect the assessment of the impact are discussed.

[1]  L. Isaksen,et al.  THE ATMOSPHERIC DYNAMICS MISSION FOR GLOBAL WIND FIELD MEASUREMENT , 2005 .

[2]  Yoshiaki Sato,et al.  Ensemble-based background error covariance implementations using spatial recursive filters in NCEP's grid-point statistical interpolation system , 2009 .

[3]  J. Terry,et al.  Observing system simulation experiments at NCEP , 2005 .

[4]  R. Chervin,et al.  Global distribution of total cloud cover and cloud type amounts over the ocean , 1988 .

[5]  Ad Stoffelen,et al.  A Simulated Future Atmospheric Observation Database Including ATOVS, ASCAT, and DWL , 1996 .

[6]  Eugenia Kalnay,et al.  The relative importance of mass and wind data in the FGGE observing system , 1985 .

[7]  M. Fisher Estimation of Entropy Reduction and Degrees of Freedom for Signal for Large Variational Analysis Systems , 2003 .

[8]  John Derber,et al.  The Use of TOVS Cloud-Cleared Radiances in the NCEP SSI Analysis System , 1998 .

[9]  M. Tiedtke,et al.  Representation of Clouds in Large-Scale Models , 1993 .

[10]  David J. Lary,et al.  An observing system simulation experiment to evaluate the scientific merit of wind and ozone measurements from the future SWIFT instrument , 2005 .

[11]  Clifford H. Dey,et al.  Observing-Systems Simulation Experiments: Past, Present, and Future , 1986 .

[12]  Michiko Masutani,et al.  Note on cloud cover of the ECMWF nature run used for OSSE/NPOESS project , 1999 .

[13]  M. Keil,et al.  Assimilating data from a simulated global constellation of stratospheric balloons , 2004 .

[14]  Robert Atlas,et al.  Atmospheric Observations and Experiments to Assess Their Usefulness in Data Assimilation , 1997 .

[15]  Brian J. Hoskins,et al.  Rossby Wave Propagation on a Realistic Longitudinally Varying Flow , 1993 .

[16]  Ad Stoffelen,et al.  ADM‐Aeolus Doppler wind lidar Observing System Simulation Experiment , 2006 .

[17]  A. Henderson-Sellers,et al.  Layer cloud amounts for January and July 1979 from 3D-nephanalysis , 1986 .

[18]  M. Tiedtke A Comprehensive Mass Flux Scheme for Cumulus Parameterization in Large-Scale Models , 1989 .

[19]  M. Halem,et al.  Observing system simulation experiments related to space-borne Lidar wind profiling. Part 1: Forecast impacts of highly idealized observing systems , 1984 .

[20]  Ad Stoffelen,et al.  Impact assessment of prospective spaceborne Doppler wind lidar observation scenarios , 2008 .

[21]  Ad Stoffelen,et al.  Sensitivity Observing System Experiment (SOSE)-a new effective NWP-based tool in designing the global observing system , 2008 .

[22]  T. N. Krishnamurti,et al.  An Observing System Simulation Experiment for the Laser Atmospheric Wind Sounder (LAWS). , 1993 .

[23]  Ronald M. Errico,et al.  The estimation of analysis error characteristics using an observation systems simulation experiment , 2007 .

[24]  Alexander Cress,et al.  Impact of profile observations on the German Weather Service's NWP system , 2001 .

[25]  M. Matricardi,et al.  An improved fast radiative transfer model for assimilation of satellite radiance observations , 1999 .

[26]  John Derber,et al.  Atmospheric transmittance of an absorbing gas. 6. OPTRAN status report and introduction to the NESDIS/NCEP community radiative transfer model. , 2004, Applied optics.

[27]  John Derber,et al.  The National Meteorological Center's spectral-statistical interpolation analysis system , 1992 .

[28]  Junjie Liu,et al.  Simple Doppler Wind Lidar adaptive observation experiments with 3D‐Var and an ensemble Kalman filter in a global primitive equations model , 2007 .

[29]  Thomas M. Hamill,et al.  A Description of the Air Force Real-Time Nephanalysis Model , 1992 .

[30]  John Derber,et al.  The use of TOVS level‐1b radiances in the NCEP SSI analysis system , 2000 .

[31]  Stephen G. Warren,et al.  Edited synoptic cloud reports from ships and land stations over the globe , 1996 .

[32]  Ad Stoffelen,et al.  A cycled sensitivity observing system experiment on simulated Doppler wind lidar data during the 1999 Christmas storm 'Martin' , 2008 .

[33]  Lars Isaksen,et al.  Observing‐system impact assessment using a data assimilation ensemble technique: application to the ADM–Aeolus wind profiling mission , 2007 .