'Ecmwf' presentation slideshows

Satellite Winds

Satellite Winds. Stephen English, Cristina Lupu and Kirsti Salonen With material from Niels Bormann , Giovanna De Chiara, Anthony McNally, Carole Peubey. Overview of the session. Upper air wind information (AMVs, passive tracing, ADM)

583 views • 45 slides

Land-surface and the key issues

Land-surface and the key issues. Bart van den Hurk co-chair GLASS. Overview of key-issues. Model development (parameterization and model structure) Surface characteristics/parameters Land-atmosphere interaction, feedbacks and climate change attribution Data assimilation.

576 views • 42 slides

Status of Lightning Imager Science Team (LIST) Activities

Status of Lightning Imager Science Team (LIST) Activities. Jochen Grandell MET division Presentation to SWG-29 (September 2010). Topics. Lightning observation from space MTG LI Product processing basics MTG Lightning Imager Science Team (LIST) LIST Meetings Studies

566 views • 34 slides

Towards an adaptive observation network: monitoring the observations impact in ECMWF forecast

Towards an adaptive observation network: monitoring the observations impact in ECMWF forecast . Carla Cardinali Office 1006.

609 views • 32 slides

W eather type D ependent V erification in Italy Adriano Raspanti Maria Stefania Tesini

W eather type D ependent V erification in Italy Adriano Raspanti Maria Stefania Tesini. summary. Subjective classification at IMS COSMO-MED verification against synop stations: 2m Temperature 10 m Wind speed Cloud cover Total Precipitation (6h)

443 views • 32 slides

MAP Re-Analysis with IFS/ARPEGE/ALADIN

398 views • 30 slides

LM 2.8 km

CICLO DI ASSIMILAZIONE (durata: 12 ore ) Ora di inizio run: 12 UTC del 30/10/03. NESTING. NESTING. NESTING. NESTING. ECMWF global model. LM 7 km PROGN TIEDTKE. ANALYSIS 31/10/03 00 UTC. I.C. and B.C. I.C. LM 2.8 km. PROGN TIEDTKE. ECMWF global model. LM 7 km PROGN

454 views • 29 slides

GFS (green), ECMWF (blue) 500 mb height 00 hr forecasts 12z 24 Dec. 2010

GFS (green), ECMWF (blue) 500 mb height 00 hr forecasts 12z 24 Dec. 2010. GFS (green), ECMWF (blue) 500 mb height 12 hr forecasts verifying 00z 25 Dec. 2010. GFS (green), ECMWF (blue) 500 mb height 24 hr forecasts verifying 12z 25 Dec. 2010.

363 views • 27 slides

Oceanography 569 Oceanographic Data Analysis Laboratory

Oceanography 569 Oceanographic Data Analysis Laboratory. Kathie Kelly Applied Physics Laboratory 515 Ben Hall IR Bldg class web site: faculty.washington.edu/kellyapl/classes/ocean569_2014/. Propagation of Errors. Example 1: linear function Example 2: mean. x t is the true value of x

428 views • 26 slides

Garrett Wedam Lynn McMurdie, Cliff Mass

East Coast vs. West Coast: A Documentation of Model Forecast Failures for Eta, NAM, GFS, GEM, and ECMWF. Garrett Wedam Lynn McMurdie, Cliff Mass. 72-hour NAM Forecast: Ridging. 1024 mb contour. 24. 72-hr NAM forecast with Obs verification Valid Dec 24, 2006.

390 views • 26 slides

449 views • 24 slides

Cases: an active period!

332 views • 20 slides

Rossana Dragani

Using and evaluating PROMOTE services at ECMWF. Rossana Dragani. PROMOTE User Meeting Nice, 16 March 2009. Overview of ECMWF.

267 views • 17 slides

Changes at ECMWF

Changes at ECMWF. Walter Zwieflhofer Head of Computer Division. Operational system (October 2001). Data assimilation 4D-Var with a 12-hour data window Horizontal resolution: 120 km for inner and 40 km for outer loops Global atmospheric forecasts

310 views • 16 slides

Seven sins in dynamical meteorological education

Seven sins in dynamical meteorological education The mathematics is always correct, the computers are given the right equations, but the explanations do not only contradict Nature but also the mathematics they are supposed to illuminate. Seven sins in dynamical meteorological education

256 views • 16 slides

220 views • 12 slides

189 views • 8 slides

MPO 674 Lecture 1

MPO 674 Lecture 1. 1/17/12.

163 views • 7 slides

ESA GlobAerosol Project Global Aerosol from Satellite Measurements

174 views • 4 slides

Introduction

I ssues in Very High Resolution Numerical Weather Prediction Over Complex Terrain in Juneau, Alaska. Don Morton 1,2 , Delia Arnold 3,4 , Irene Schicker 3 , Kayla Harrison 1 , Carl Dierking 5 , Gene Petrescu 6 1 Arctic Region Supercomputing Center, University of Alaska Fairbanks

135 views • 1 slides