Theoretical Impact Assessment of Satellite Data on Weather Forecasts
The global meteorological observing system is extremely expensive and in the present economical situation some conventional observations such as radiosondes begin to be severely reduced. At the same time improved satellite systems become available (Kondratyev et al., 1996). The operational observing network, which uses both conventional and satellite measurements, influences the weather forecast accuracy through the initial atmospheric state uncertainty (Beliavsky and Pokrovsky, 1983; Ghil et al., 1979; Pokrovsky, 1984; Pokrovsky, 2000). Therefore, there is an urgent necessity to investigate the importance of different observing subsystems on numerical weather forecasting performance (Epstein, 1969; Kondratyev et ai, 1996; Pokrovsky and Denisov, 1985).
KeywordsRoot Mean Square Forecast Error Empirical Orthogonal Function Height Field Empirical Orthogonal Function
Unable to display preview. Download preview PDF.
- Bartello, P. and Mitchell, H.L. (1992) A continuous three-dimensional model of short-range forecast error covariance, Tellus 44A, 217–235.Google Scholar
- Beliavsky, A.I. and Pokrovsky, O.M. (1983) Contribution effect of the remote sensing data on the numerical analysis of geopotential fields, Soviet Meteorology and Hydrology 1, 14–21.Google Scholar
- Denisov, S.G. and Pokrovsky, O.M. (1980) Analysis of the information content of the system of the remote sensing of the height fields, Proc. of Acad. of Sci. of USSR, ser.Phys.Atmos. and Ocean 16, 582–590.Google Scholar
- Epstein, E.S. (1969) Stochastic dynamic prediction, Tellus 21, 39–759.Google Scholar
- Fechner, H. (1975) Darstellung der Geopotentials der Winterlichen Nordhalbkugel Durch Naturaliche Ortogonalfunctionen, Berichte Inst, fur Meereskunde, Kiel, N5.Google Scholar
- Kondratyev, K.Y., Buznikov, A.A. and Pokrovsky, O.M. (1996) Global Change and Remote Sensing, J. Wiley and Sons, Praxis Publ, Chichester.Google Scholar
- Pokrovsky, O.M. and Beliavsky, A.I. (1983) On a 4-D assimilation of satellite information based on the nonlinear model, Soviet Meteorology and Hydrology 8, 44–54. (Allerton Press Inc., NY).Google Scholar
- Pokrovsky, O.M. and Denisov, S.G. (1985) The information content of the oceani network for an objective analysis of NH geopotential fields, Soviet Meteorology and Hydrology 10, 37–43.Google Scholar
- Pokrovsky, O.M. (1984) An Optimization of Meteorological Remote Sensing of Atmosphere from Satellites, Hydrometeoizdat, Leningrad, (in Russian ).Google Scholar
- Pokrovsky, O.M. (2000) Direct and adjoint sensitivity approach to impact assessment of ground-based and satellite data on Weather Forecasting. Proceedings of the Second CGC/WMO Workshop on the Impact of Various Observing Systems on Numerical Weather Prediction. World Weather Watch Technical Rep.N 19 (WMO/TD N1034), WMO, Geneva, 99–118.Google Scholar
- Rinne, J. (1971) Investigation of the forecasting error of a simple barotropic model with the aid of empirical orthogonal functions, Geophysica (Helsinki) 11, 11–32.Google Scholar