Issues Regarding the Assimilation of Cloud and Precipitation Data
- 1 November 2007
- journal article
- Published by American Meteorological Society in Journal of the Atmospheric Sciences
- Vol. 64 (11), 3785-3798
- https://doi.org/10.1175/2006jas2044.1
Abstract
The assimilation of observations indicative of quantitative cloud and precipitation characteristics is desirable for improving weather forecasts. For many fundamental reasons, it is a more difficult problem than the assimilation of conventional or clear-sky satellite radiance data. These reasons include concerns regarding nonlinearity of the required observation operators (forward models), nonnormality and large variances of representativeness, retrieval, or observation–operator errors, validation using new measures, dynamic and thermodynamic balances, and possibly limited predictability. Some operational weather prediction systems already assimilate precipitation observations, but much more research and development remains. The apparently critical, fundamental, and peculiar nature of many issues regarding cloud and precipitation assimilation implies that their more careful examination will be required for accelerating progress.Keywords
This publication has 89 references indexed in Scilit:
- Implementation of 1D+4D‐Var assimilation of precipitation‐affected microwave radiances at ECMWF. II: 4D‐VarQuarterly Journal of the Royal Meteorological Society, 2006
- Implementation of 1D+4D‐Var assimilation of precipitation‐affected microwave radiances at ECMWF. I: 1D‐VarQuarterly Journal of the Royal Meteorological Society, 2006
- Multiple‐scattering microwave radiative transfer for data assimilation applicationsQuarterly Journal of the Royal Meteorological Society, 2006
- Singular-Vector-Based Covariance Propagation in a Quasigeostrophic Assimilation SystemMonthly Weather Review, 2005
- Ensemble-derived stationary and flow-dependent background-error covariances: Evaluation in a quasi-operational NWP settingQuarterly Journal of the Royal Meteorological Society, 2005
- Influence‐matrix diagnostic of a data assimilation systemQuarterly Journal of the Royal Meteorological Society, 2004
- Error analysis of TMI rainfall estimates over ocean for variational data assimilationQuarterly Journal of the Royal Meteorological Society, 2002
- Observation and background adjoint sensitivity in the adaptive observation‐targeting problemQuarterly Journal of the Royal Meteorological Society, 2000
- Stochastic representation of model uncertainties in the ECMWF ensemble prediction systemQuarterly Journal of the Royal Meteorological Society, 1999
- The Singular-Vector Structure of the Atmospheric Global CirculationJournal of the Atmospheric Sciences, 1995