Technical report series on global modeling and data assimilation. Volume 4: Documentation of the Goddard Earth Observing System (GEOS) data assimilation system, version 1

This report describes the analysis component of the Goddard Earth Observing System, Data Assimilation System, Version 1 (GEOS-1 DAS). The general features of the data assimilation system are outlined, followed by a thorough description of the statistical interpolation algorithm, including specification of error covariances and quality control of observations. We conclude with a discussion of the current status of development of the GEOS data assimilation system. The main components of GEOS-1 DAS are an atmospheric general circulation model and an Optimal Interpolation algorithm. The system is cycled using the Incremental Analysis Update (IAU) technique in which analysis increments are introduced as time independent forcing terms in a forecast model integration. The system is capable of producing dynamically balanced states without the explicit use of initialization, as well as a time-continuous representation of non- observables such as precipitation and radiational fluxes. This version of the data assimilation system was used in the five-year reanalysis project completed in April 1994 by Goddard's Data Assimilation Office (DAO) Data from this reanalysis are available from the Goddard Distributed Active Center (DAAC), which is part of NASA's Earth Observing System Data and Information System (EOSDIS). For information on how to obtain these data sets, contact the Goddard DAAC at (301) 286-3209, EMAIL daac@gsfc.nasa.gov.

[1]  R. Sadourny.  The Dynamics of Finite-Difference Models of the Shallow-Water Equations , 1975 .

[2]  A. Hollingsworth,et al.  An internal symmetric computational instability , 1983 .

[3]  A. Hollingsworth,et al.  The statistical structure of short-range forecast errors as determined from radiosonde data Part II: The covariance of height and wind errors , 1986 .

[4]  A. Arakawa,et al.  A Potential Enstrophy and Energy Conserving Scheme for the Shallow Water Equations , 1981 .

[5]  C.,et al.  Analysis methods for numerical weather prediction , 2022 .

[6]  A. Arakawa.  Computational design for long-term numerical integration of the equations of fluid motion: two-dimen , 1997 .

[7]  J. Labraga,et al.  Design of a Nonsingular Level 2.5 Second-Order Closure Model for the Prediction of Atmospheric Turbulence , 1988 .

[8]  Y. Sud,et al.  The roles of dry convection, cloud-radiation feedback processes and the influence of recent improvements in the parameterization of convection in the GLA GCM , 1988 .

[9]  Roger Davies,et al.  Documentation of the solar radiation parameterization in the GLAS climate model , 1982 .

[10]  Stephen E. Cohn,et al.  The effect of horizontal gradients of height-field forecast error variances upon OI forecast error statistics , 1984 .

[11]  C. Rodgers,et al.  Some extensions and applications of the new random model for molecular band transmission , 1968 .

[12]  Richard B. Rood,et al.  A Comparison of Winds from the STRATAN Data Assimilation System to Balanced Wind Estimates , 1994 .

[13]  Mark R. Schoeberl,et al.  A computation of the stratospheric diabatic circulation using an accurate radiative transfer model , 1987 .

[14]  Michael D. King,et al.  Comparative accuracy of selected multiple scattering approximations , 1986 .

[15]  R. H. Clarke,et al.  Observational studies in the atmospheric boundary layer , 1970 .

[16]  A. Arakawa,et al.  Vertical Differencing of the Primitive Equations in Sigma Coordinates , 1983 .

[17]  M. Chou,et al.  A Parameterization of the Absorption in the 15 , 1983 .

[18]  R. Daley.  Atmospheric Data Analysis , 1991 .

[19]  Richard A. Anthes,et al.  Data Assimilation and Initialization of Hurricane Prediction Models , 1974 .

[20]  D. Stauffer,et al.  Use of Four-Dimensional Data Assimilation in a Limited-Area Mesoscale Model. Part I: Experiments with Synoptic-Scale Data , 1990 .

[21]  J. Joseph,et al.  The delta-Eddington approximation for radiative flux transfer , 1976 .

[22]  M. Chou,et al.  Broadband water vapor transmission functions for atmospheric IR flux computations , 1984 .

[23]  J. Hansen,et al.  A parameterization for the absorption of solar radiation in the earth's atmosphere , 1974 .

[24]  S. Schubert,et al.  Climatology of the Simulated Great Plains Low-Level Jet and Its Contribution to the Continental Moisture Budget of the United States , 1995 .