'Data assimilation' diaporamas de présentation

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NAME: STATUS AND PLANS

NAME: STATUS AND PLANS. 4 th NAME Science Working Group Meeting January 9-10, 2003 NAME Homepage: http://www.joss.ucar.edu/name. OUTLINE. OVERVIEW What is NAME? Balance of Activities (CLIVAR; GEWEX) Timeline STATUS AND ISSUES NAME Project Structure

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Background

Use of Observing System Experiments to Assess and Account for Changes in the Global Observing System Robert Atlas Laboratory for Atmospheres NASA Goddard Space Flight Center. Background.

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U.S. ECoS U.S. Eastern Continental Shelf Carbon Budget: Modeling, Data Assimilation, and Analysis

U.S. ECoS U.S. Eastern Continental Shelf Carbon Budget: Modeling, Data Assimilation, and Analysis. A project of the NASA Earth System Enterprise Interdisciplinary Science Program Ocean Carbon Biogeochemistry Workshop Woods Hole, MA, July 2006. U.S. ECoS Science Team.

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Numerical Weather Prediction: An Overview

Numerical Weather Prediction: An Overview. Mohan Ramamurthy Department of Atmospheric Sciences University of Illinois at Urbana-Champaign E-mail: mohan@uiuc.edu COMET Faculty Course on NWP June 7, 1999. What is Numerical Weather Prediction?.

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Suru Saha and Hua-Lu Pan, EMC/NCEP With Input from Stephen Lord, Mark Iredell, Shrinivas Moorthi,

Design and Execution of the 30-year NCEP CFS RR. T382L64 Global R eanalysis and T126L64 Seasonal R eforecast Project (1979-2008). Suru Saha and Hua-Lu Pan, EMC/NCEP With Input from Stephen Lord, Mark Iredell, Shrinivas Moorthi, David Behringer, Ken Mitchell, Bob Kistler,

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Objective Analysis and Data Assimilation

Objective Analysis and Data Assimilation. Exploring the Components of an NWP System. Objective Analysis/Data Assimilation. Numerical weather models are generally solved on a three-dimensional grid Observations are scattered in three dimensions

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Recent developments on the NWP suite of Environment Canada

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THORPEX: A GLOBAL ATMOSPHERIC RESEARCH PROGRAM NOAA LONG-TERM RESEARCH PROGRAM

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Bias correction in data assimilation

Bias correction in data assimilation. Dick Dee and Niels Bormann ECMWF. Meteorological Training Course Data Assimilation and Use of Satellite Data 27 April 2009. Outline. Introduction Biases in models, observations, and observation operators Implications for data assimilation

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Ronald C. Cohen UC Berkeley $ TEMPO, NASA ACMAP and GEOCAPE

Data Assimilation of TEMPO NO 2 : Winds, Emissions and PBL mixing. Ronald C. Cohen UC Berkeley $ TEMPO, NASA ACMAP and GEOCAPE. Resolution and hourly repeats makes data assimilation uniquely suited to TEMPO NO 2. Resolution in observations and a priori matters.

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NAME PRIMER

NAME PRIMER. NAME Homepage: http://www.joss.ucar.edu/name. OUTLINE. PROGRAM RATIONALE AND OBJECTIVES NAME 2004 FIELD CAMPAIGN Field Observation Networks (Tiers I, II, III) NAME MODELING AND DATA ASSIMILATION Science Questions and Activities (Tiers I, II, III). WHAT IS NAME ?.

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Introduction to Numerical Weather Prediction and Ensemble Weather Forecasting

Introduction to Numerical Weather Prediction and Ensemble Weather Forecasting. Tom Hamill NOAA-CIRES Climate Diagnostics Center Boulder, Colorado USA. NWP Process. Gather Observations. Data Assimilation. Numerical Weather Predictions. Forecast Postprocessing. Issue forecasts,

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Global Systems Division contributions to Warn-on-Forecast

Global Systems Division contributions to Warn-on-Forecast. Steve Koch Director, ESRL Global Systems Division. February 18, 2010. Topics and Tasks. Best approaches to radar data assimilation Storm-scale ensemble predictability studies MADIS Metadata and QC improvements

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Eucalyptus: An Open-source Infrastructure for Cloud Computing

Eucalyptus: An Open-source Infrastructure for Cloud Computing. Rich Wolski Chris Grzegorczyk, Dan Nurmi, Graziano Obertelli, Woody Rollins, Sunil Soman, Lamia Youseff, Dmitrii Zagorodnov The Eucalyptus Project. Exciting Weather Forecasts. Commercial Cloud Formation. What is a Cloud?. SLAs.

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HIRLAM-A status and plans

HIRLAM-A status and plans. J. Onvlee EWGLAM meeting Dubrovnik, 20071008. HIRLAM organization. Members: Dk, Est, Fi, Ic, Ir, Nl, No, Sp, Sw, (Fr) Estonian met service EMHI joined 1 Jan 2007 Latvian, Lithuanian met service to become acceding members soon

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An Introduction to SeaWinds Near-Real Time Data

An Introduction to SeaWinds Near-Real Time Data. Ross Hoffman Mark Leidner Atmospheric and Environmental Research, Inc. Lexington, MA 02421. Acknowledgements. Thanks to NASA scatterometer projects and OVWST for support. Information in this presentation is taken from the article:

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Severe Weather Forecasting Demonstration Project (SWFDP)

Severe Weather Forecasting Demonstration Project (SWFDP). Peter Chen Chief, Data-Processing and Forecasting System Division Weather and Disaster Risk Reduction Services Department WIS Common Alerting Protocol Implementation Workshop Geneva 6-7 April 2011.

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OSSEs: Observing Systems Simulation Experiments

JP2.23 . OSSEs: Observing Systems Simulation Experiments. Evaluation of GOES-R and NPOESS instrument in Joint OSSEs http://www.emc.ncep.noaa.gov/research/JointOSSEs 5th NPOESS-GOES-R 16 th Sat Met. 2,5,$ Lars Peter Riishojgaard, 3,5 F. Weng, 5,@ T. Zhu, 1,+ J. Woollen, 3,% H. Sun,

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Welcome, Logistics, and Introductions

Welcome, Logistics, and Introductions. Sixth Meeting of the SPoRT Science Advisory Committee. Welcoming comments Introduction of SAC members and observers SAC meeting materials SPoRT team member introduction Review agenda. Welcoming Comments Dr. Dan Schumacher

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