'4d var' diaporamas de présentation

Chemical Data Assimilation at the Meteorological Service of Canada

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Recent developments in data assimilation for global deterministic NWP: EnVar vs. 3D-Var and 4D-Var

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Assimilation Algorithms: Tangent Linear and Adjoint models

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Report from DAOS-WG Roger Saunders and Ron Gelaro with input from WG members

Report from DAOS-WG Roger Saunders and Ron Gelaro with input from WG members. Overview. WG Matters (meeting, membership, ..) Highlights from Exeter meeting Paper on targeted observations. Mission statement. To achieve its mission the DAOS WG, in collaboration with the CBS OPAG-IOS:

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Recent developments of the local ensemble transform Kalman filter (LETKF) at JMA

2007/3/19 MRI, Tsukuba. Recent developments of the local ensemble transform Kalman filter (LETKF) at JMA. Takemasa Miyoshi (NPD/JMA) Collaborators: Shozo Yamane (CIS and FRCGC) Yoshiaki Sato (NPD/JMA) Kohei Aranami (NPD/JMA) Takeshi Enomoto (ESC). Outline. 1. What is LETKF?

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Data assimilation and forecasting the weather (!)

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Parametrizations in Data Assimilation

Parametrizations in Data Assimilation. ECMWF Training Course 3-12 June 2013. Philippe Lopez Physical Aspects Section, Research Department, ECMWF (Room 109). Parametrizations in Data Assimilation. Introduction Why are physical parametrizations needed in data assimilation?

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Ko KOIZUMI Numerical Prediction Division Japan Meteorological Agency

Assimilation of various observational data using JMA meso 4D-VAR and its impact on precipitation forecasts. Ko KOIZUMI Numerical Prediction Division Japan Meteorological Agency. Hydrostatic MSM Dynamics hydrostatic, spectral model primitive equation no acoustic mode model top at ~ 0 hPa

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Demands and expectations at SMHI on the European Reanalysis for observations and climate

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Research Supported by: NSF, ONR, NOPP

The Regional Ocean Modeling System (ROMS) 4D-Var Assimilation Systems applied to the California Current System. Andy Moore, Gregoire Broquet, Hernan Arango, Chris Edwards, Brian Powell, Milena Veneziani and Javier Zavala-Garay. Research Supported by: NSF, ONR, NOPP. initial condition

334 views • 24 slides

Forecasting PM 2.5

3-Dimensional Validation of Satellite AOD Products and the Numerical Aerosol Forecast Models that Use Them. Raymond Hoff, J. Engel-Cox, R. Rogers, N. Jordan, K. McCann, K. Mubenga Physics, MEES and JCET UMBC S. Palm, J. Spinhirne GSFC. Forecasting PM 2.5.

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CO 2 Data Assimilation at ECMWF

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Simulation et prevision du temps

Simulation et prevision du temps. Dominique Marbouty Head, Operations Department European Centre for Medium-range Weather Forecast dominique.marbouty@ecmwf.int http://www.ecmwf.int. Agenda. The current situation What is ECMWF?: activity, requirements

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Current status of GEMS- Aerosol Olivier Boucher (LOA / CNRS / USTL) + aerosol partners

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Status of recently released WRF 4D-Var

Status of recently released WRF 4D-Var. Xin Zhang, Xiang-Yu Huang and Yong-Run Guo MMM Division, NCAR, Boulder, CO USA Ling-Feng Hsiao Taiwan Central Weather Bureau, Taipei. Content of talk. Why is 4D-Var performing better than 3D-Var? Overview of the WRF 4D-Var

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Progress in the joint HIRLAM/ALADIN mesoscale data assimilation activities

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H. Elbern, A. Strunk Rhenish Institute for Environmental Research at the University of Cologne

Assimilation of space and air borne measurements in a tropospheric chemistry transport model by 4D-var. H. Elbern, A. Strunk Rhenish Institute for Environmental Research at the University of Cologne. Contents. Introduction: why 4D-var Assimilation of flight campaign data

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Met Office Computing Update

Met Office Computing Update. Paul Selwood, Met Office. The Met Office. National Weather Service Global and Local Area Climate Prediction (Hadley Centre) Operational and Research activities Computers: 1991-1996 : Cray Y-MP/C90 1996-present : Cray T3E Currently Relocating to Exeter.

272 views • 15 slides