NG33D:
Evaluating Reanalysis: Learning about Past Weather and Climate I (Half Session)
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NG33D:
Evaluating Reanalysis: Learning about Past Weather and Climate I (Half Session)
Evaluating Reanalysis: Learning about Past Weather and Climate I (Half Session)
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Session ID#: 15924
Session Description:
Reanalysis is a scientific method for producing a physically complete estimation of the past state and variability of geophysical systems such
as the atmosphere and ocean. Reanalyses are frequently used as "observations" in assessing the fidelity of model simulations of the recent past, and also in studying short-term variability and long-term change in the system. However, inhomogeneities in the observing system and biases in the numerical models may lead to spurious changes and trends in reanalysis products. These issues can be addressed to some extent by intercomparing different reanalyses, and comparing reanalysis output to independent observations. Organized efforts such as the SPARC Reanalysis Intercomparison Project (S-RIP) and the EU funded project UERRA have started to systematically evaluate reanalyses.
The session welcomes contributions on the evaluation, intercomparison and application of reanalyses, including global, regional, atmospheric,
ocean, and coupled reanalyses. In particular, intercomparison of multiple reanalyses and comparisons with independent data are encouraged.
as the atmosphere and ocean. Reanalyses are frequently used as "observations" in assessing the fidelity of model simulations of the recent past, and also in studying short-term variability and long-term change in the system. However, inhomogeneities in the observing system and biases in the numerical models may lead to spurious changes and trends in reanalysis products. These issues can be addressed to some extent by intercomparing different reanalyses, and comparing reanalysis output to independent observations. Organized efforts such as the SPARC Reanalysis Intercomparison Project (S-RIP) and the EU funded project UERRA have started to systematically evaluate reanalyses.
The session welcomes contributions on the evaluation, intercomparison and application of reanalyses, including global, regional, atmospheric,
ocean, and coupled reanalyses. In particular, intercomparison of multiple reanalyses and comparisons with independent data are encouraged.
Primary Convener: Jan Dominik Keller, Deutscher Wetterdienst, Lindenberg, Germany
Conveners: Masatomo Fujiwara, Hokkaido University, Faculty of Environmental Earth Science, Sapporo, Japan and Sean M Davis, University of Colorado / CIRES, Boulder, CO, United States
Chairs: Masatomo Fujiwara, Hokkaido University, Faculty of Environmental Earth Science, Sapporo, Japan, Sean M Davis, University of Colorado / CIRES, Boulder, CO, United States and Sabrina Wahl, University of Bonn, Meteorological Institute, Bonn, Germany
OSPA Liaison: Sean M Davis, University of Colorado / CIRES, Boulder, CO, United States
Co-Organized
with:
Nonlinear Geophysics, and Atmospheric Sciences
Nonlinear Geophysics, and Atmospheric Sciences
Cross-Listed:
- A - Atmospheric Sciences
- GC - Global Environmental Change
- OS - Ocean Sciences
Proposed Co-Organized Session with:
- A - Atmospheric Sciences
Index Terms:
3305 Climate change and variability [ATMOSPHERIC PROCESSES]
3309 Climatology [ATMOSPHERIC PROCESSES]
3315 Data assimilation [ATMOSPHERIC PROCESSES]
3339 Ocean/atmosphere interactions [ATMOSPHERIC PROCESSES]
Abstracts Submitted to this Session:
See more of: Nonlinear Geophysics