Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences
National Academies Press, Jan 1, 1991 - Computers - 78 pages
This volume explores and evaluates the development, multiple applications, and usefulness of four-dimensional (space and time) model assimilations of data in the atmospheric and oceanographic sciences and projects their applicability to the earth sciences as a whole.
Using the predictive power of geophysical laws incorporated in the general circulation model to produce a background field for comparison with incoming raw observations, the model assimilation process synthesizes diverse, temporarily inconsistent, and spatially incomplete observations from worldwide land, sea, and space data acquisition systems into a coherent representation of an evolving earth system.
The book concludes that this subdiscipline is fundamental to the geophysical sciences and presents a basic strategy to extend the application of this subdiscipline to the earth sciences as a whole.
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Needs for Future ModelAssimilated Data Sets
Quality Control and Validation of Observations Analyses
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adjoint method analysis archive system areas assimilated data sets assimilation techniques atmo atmospheric and oceanic atmospheric circulation Atmospheric Research background field capability circulation models climate and global data assimilation models data assimilation system dynamical consistency Earth Observing System earth system ECMWF effort EOSDIS errors estimates Experiment flux forecast models four-dimensional future geophysical data geophysical system global atmospheric global change grid Hollingsworth hydrological cycle improved integrated interactions Kalman filter land surface learning process low-frequency variability mesoscale model data assimilation model-assimilated data sets National Weather Service nationally focused program NCAR NOAA nonlinear numerical weather prediction observational data ocean circulation ocean models oceanic data oceanographic operational centers parameterization schemes physical planetary boundary layer precipitation prediction models problems produce quality control regions remotely sensed require research-quality routinely scatterometer simulated spatial study of climate synoptic temperature tion tropical validation vertical wind