SWFDP in the Antilles (RA IV)

Slides:



Advertisements
Similar presentations
RSMC La Réunion activities regarding SWFDP Southern Africa Matthieu Plu (Météo-France, La Réunion), Philippe Arbogast (Météo-France, Toulouse), Nicole.
Advertisements

Access to products from the SWFDP-EA RSMC, Nairobi web portal
Introduction to data assimilation in meteorology Pierre Brousseau, Ludovic Auger ATMO 08,Alghero, september 2008.
ECMWF long range forecast systems
The use of a high resolution model in a private environment
14th ALADIN Workshop, Innsbruck 1-4 June 2004 First LAMEPS experiments at the Hungarian Meteorological Service Edit Hágel and Gabriella Szépszó Hungarian.
ECOOP WP11 ENSEMBLE AND SUPER-ENSEMBLE FORECASTING (TO UPGRADE EXISTING REGIONAL AND COASTAL FORECASTING SYSTEMS)
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Numerical weather prediction from short to long range.
Operationnal use of high resolution model AROME image source: Sander Tijm, KNMI.
JMA Global Model Hiromi Owada Numerical Prediction Division, Forecast Dept. Japan Meteorological Agency 1.
Francesca Marcucci, Lucio Torrisi with the contribution of Valeria Montesarchio, ISMAR-CNR CNMCA, National Meteorological Center,Italy First experiments.
SRNWP workshop - Bologne Short range ensemble forecasting at Météo-France status and plans J. Nicolau, Météo-France.
SLEPS First Results from SLEPS A. Walser, M. Arpagaus, C. Appenzeller, J. Quiby MeteoSwiss.
NUMERICAL WEATHER PREDICTION K. Lagouvardos-V. Kotroni Institute of Environmental Research National Observatory of Athens NUMERICAL WEATHER PREDICTION.
ECMWF Forecasting System - Overview. Background/Establishment 1969Expert group in meteorology propose ‘European Meteorological Computing Centre’ 1975ECMWF.
ESA DA Projects Progress Meeting 2University of Reading Advanced Data Assimilation Methods WP2.1 Perform (ensemble) experiments to quantify model errors.
Observing Strategy and Observation Targeting for Tropical Cyclones Using Ensemble-Based Sensitivity Analysis and Data Assimilation Chen, Deng-Shun 3 Dec,
Short-Range Ensemble Prediction System at INM José A. García-Moya & Carlos Santos SMNT – INM COSMO Meeting Zurich, September 2005.
Available products for Seasonal forecasting J.P. Céron – Direction de la Climatologie.
Oceanic and Atmospheric Modeling of the Big Bend Region Steven L. Morey, Dmitry S. Dukhovksoy, Donald Van Dyke, and Eric P. Chassignet Center for Ocean.
NWP Activities at INM Bartolomé Orfila Estrada Area de Modelización - INM 28th EWGLAM & 13th SRNWP Meetings Zürich, October 2005.
27 March 2009 Météo-France and hydrology Jean-Marie Carrière Director of Forecasting.
How can LAMEPS * help you to make a better forecast for extreme weather Henrik Feddersen, DMI * LAMEPS =Limited-Area Model Ensemble Prediction.
Large Ensemble Tropical Cyclone Forecasting K. Emanuel 1 and Ross N. Hoffman 2, S. Hopsch 2, D. Gombos 2, and T. Nehrkorn 2 1 Massachusetts Institute of.
Meteorologisk Institutt met.no Operational ocean forecasting in the Arctic (met.no) Øyvind Saetra Norwegian Meteorological Institute Presented at the ArcticGOOS.
26 th EWGLAM & 11 th SRNWP meetings, Oslo, Norway, 4 th - 7 th October 2004 Stjepan Ivatek-Šahdan RC LACE Data Manager Croatian Meteorological and Hydrological.
Short-Range Ensemble Prediction System at INM José A. García-Moya SMNT – INM 27th EWGLAM & 12th SRNWP Meetings Ljubljana, October 2005.
Utskifting av bakgrunnsbilde: -Høyreklikk på lysbildet og velg «Formater bakgrunn» -Under «Fyll», velg «Bilde eller tekstur» og deretter «Fil…» -Velg ønsket.
Plans for Short-Range Ensemble Forecast at INM José A. García-Moya SMNT – INM Workshop on Short Range Ensemble Forecast Madrid, October,
MINERVA workshop, GMU, Sep MINERVA and the ECMWF coupled ensemble systems Franco Molteni, Frederic Vitart European Centre for Medium-Range.
Regional Climate Modelling over Southern Africa Mary-Jane M. Kgatuke South African Weather Service.
Ensemble assimilation & prediction at Météo-France Loïk Berre & Laurent Descamps.
Computing at Météo-France CAS 2003, Annecy 1.News from computers 2.News from models.
NWP Activities at INM José A. García-Moya SMNT – INM 27th EWGLAM & 12th SRNWP Meetings Ljubljana, October 2005.
Ensemble Forecasting at RSMC La Réunion WMO/WWRP Training, Nanjing, dec 2011 Matthieu Plu, Thierry Dupont, Sébastien Langlade, Nicole Girardot METEO-FRANCE.
ECMWF Training course 26/4/2006 DRD meeting, 2 July 2004 Frederic Vitart 1 Predictability on the Monthly Timescale Frederic Vitart ECMWF, Reading, UK.
NWP models. Strengths and weaknesses. Morten Køltzow, met.no NOMEK
MPO 674 Lecture 2 1/20/15. Timeline (continued from Class 1) 1960s: Lorenz papers: finite limit of predictability? 1966: First primitive equations model.
Munehiko Yamaguchi 12, Takuya Komori 1, Takemasa Miyoshi 13, Masashi Nagata 1 and Tetsuo Nakazawa 4 ( ) 1.Numerical Prediction.
Dmitry Alferov, Elena Astakhova, Gdaly Rivin, Inna Rozinkina Hydrometcenter of Russia 13-th COSMO General Meeting, Rome, 5-9 September 2011.
Recent activities related to EPS (operational aspects) Junichi Ishida and Carolyn Reynolds With contributions from WGNE members 31th WGNE Pretoria, South.
Figures from “The ECMWF Ensemble Prediction System”
Current Issues and Challenges in Ensemble Forecasting Junichi Ishida (JMA) and Carolyn Reynolds (NRL) With contributions from WGNE members 31 th WGNE Pretoria,
3. Modelling module 3.1 Basics of numerical atmospheric modelling M. Déqué – CNRM – Météo-France J.P. Céron – DClim – Météo-France.
V. Vionnet1, L. Queno1, I. Dombrowski Etchevers2, M. Lafaysse1, Y
Emerging Research Opportunities at the Climate Modeling Laboratory NC State University (Presentation at NIA Meeting: 9/04/03) Fredrick H. M. Semazzi North.
RA IV Experts Group Meeting for SWFDP
Meteorological and Hydrological Service of Croatia
SWFDP in the Antilles (RA IV)
JMA Seasonal Prediction of South Asian Climate for OND 2017
SWFDP in the Antilles (RA IV)
SWFDP in the Antilles (RA IV)
How do models work? METR 2021: Spring 2009 Lab 10.
Meteorological and Hydrological Service of Croatia
Use of TIGGE Data: Cyclone NARGIS
Middle-Range Ensemble Forecast at CPTEC/INPE - Current Activities
Hui Liu, Jeff Anderson, and Bill Kuo
Sub-seasonal prediction at ECMWF
Severe Weather Forecasting Demonstration Project (SWFDP)
Shuyi S. Chen and Wei Zhao Cheryl Ann Blain
GIFS-TIGGE project Richard Swinbank, and Young-Youn Park,
Ensemble tropical cyclone and windstorm forecast applications
SWFDP Key Issues for GIFS-TIGGE
Update of NMC/CMA Global Ensemble Prediction System
SRNWP-PEPS COSMO General Meeting September 2005
MOGREPS developments and TIGGE
NWP activities in Austria in 2006/2007 Y. Wang
Mercator plan within SMRCP-TT
Orographic Influences on Rainfall Associated with Tropical Cyclone
The Flux Model of Orographic Rain
Presentation transcript:

SWFDP in the Antilles (RA IV) METEO-FRANCE / ECMWF NWP capacities RSMT meeting, Martinique 13-15 December 2016 Jean-Noel DEGRACE / Thierry DUPONT Météo-France Antilles-Guyane 1 1

Plan Atmospheric models Global Deterministic models Ensemble Prediction System Regional deterministic models Wave models Regional deterministics 2 2

Global and deterministic atmospheric model ARPEGE (Meteo-France) Characteristics Global model with a 4DVar assimilation scheme 105 pressure level, from 10m à 0,1 hPa Troncature T1198, centered over continental France with a stretch factor of 2,2 Horizontal resolution : Approx. 7,5km over France, 15km in the Caribbean, 36km over the antipodes (New-Zealand) Display : Grid 0,1° ( approx. 11 km) on the ATOURX01 Domain (10S/100W/80N/100E) from 00 to 72h term with 3h step 4 runs per day 3 3

Global and deterministic atmospheric model IFS (ECMWF) Characteristics Global model with 4DVar assimilation scheme 137 levels - Troncature TCo1279 (cubic troncature)  Horizontal resolution about 9 km all over the globe (since march 2016) 4 runs per day, 00UTC, 06UTC, 12UTC et 18UTC Display grids 0.5° resoultion (56 km near equator): Up to term of 240h, step 3,6 ou 12h depending on parameter 0,25° resolution (28 km near equator): Step 3h up to term of 120h, step 6h up to term of 240h 0,125° resolution (14 km near equator): Step 3h up to term of 144h, step 6h up to term of 240h Comments New Simulated Satellite Data (SSD) (since 8 march 2016) 4 4

Global and probabilistic atmospheric model EPS : Ensemble Prediction System (ECMWF) Characteristics 2 runs / jour (00UTC et 12UTC) disponibles à environ H+10h20, Résolution spatiale : depuis mars 2016, point de grille de 18km jusqu'à J15 et 36km jusque J46 (échéance mensuelle, 2x par semaine). 62 niveaux. 50 perturbed members by complex processes and 1 non-perturbed control member. Dedicated tropical perturbations (wet targetted vectors over Caraibes and Tropical Cyclone Targetted vectors,) Specific products For « severe weather » ……. and/or Tropical Cyclones 5 5

Global and probabilistic atmospheric model ECMWF-EPS : Examples of Specific products EPSGramms : 6 6

Global and probabilistic atmospheric model ECMWF-EPS : Examples of Specific products EPS thresholded maps : 5, 10 or 20 mm per day EPS Extreme Forecast Index : Wind or Rainfall 7 7

Global and probabilistic atmospheric model ECMWF-EPS : Examples of Specific products For « severe weather » ……. and/or Tropical Cyclones TC ensemble track : Spaghettis : 4 thresholds of MSLP (1000, 1004, 1008, 1012) 8 8

Regional and deterministic atmospheric model AROME (Meteo-France) High-Resolution (2,5km) , Non-Hydrostatic Model (convection explicit resolution) Forced by IFS 4 runs per day : 00Z et 12Z up to 36h, 06Z and 18Z up to 42h Step : 1h Comments - Available at H + 7h30 (a bit late for nowcating …but still usefull !) - Domain will be soon extended for the SWFDP Antilles - Forcing by 1D ocean model is planed to be implemented next year 9 9

Global and deterministic wave model MFW-ARPEGE (Meteo-France) Characteristics French global wave model coupled with ARPEGE 0.5° resolution (56 km near equator) Comments (paramètres spécifiques, qualités/défauts, nouveautés, …) Run 00Z 06Z 12Z 18Z Term 102h 72h 114h 60h Step 3h Avalability 0400UTC 1045UTC 1535UTC 2240UTC 10 10

Global and deterministic wave model MFWAM-IFS (Meteo-France / ECMWF) Characteristics French global wave model coupled with IFS 0.5° resolution (56 km near equator) Comments Run 00Z 06Z 12Z 18Z Term 120h 84h Step 3h Avalability 0750UTC 1240UTC 1950UTC 0040UTC 11 11

Global and probabilistic wave model PEPS-WAM (ECMWF) Characteristics EPS Ensemble-based Domain : 0-360E fom 69S up to 75N 0.5° resolution (56 km near equator) Specific products  EPSgrammes, etc. Comments Probabilities H1/3 + Houles > (2m ; 4m ; 6m ; 8m) Probabilites T > (8s ; 10s ; 12s ; 15s). Run 00Z 06Z 12Z 18Z Term 240h Step 12h Avalability 0915UTC N/A 2115UTC 12 12

Regional and deterministic wave model AROME-MFWAM (Meteo-France / ECMWF) Characteristics Grid 0,1° ( approx. 11 km) Comments (paramètres spécifiques, qualités/défauts, nouveautés, …) Run 00Z 06Z 12Z 18Z Term 36h 42h Step 3h Avalability 0745UTC 1330UTC 1945UTC 0130UTC 13 13

Regional and deterministic wave model Upgrade to a new High Resolution Wave Model for Caraibles Characteristics Characterics depend on the domain, from 10km on the boundary to 200m near the lesser Antilles. Green domain : MFWAM-IFS 0,1° Purple domain : AROME-MFWAM (will be extend to the new Arome domain) Red domain : AROME+WaveWatch3 WaveWatch3, same physic than MFWAM but able to represent coastal phenomena (wave surges, refractive effects, bottom of the sea friction's effects) 14 14

THANK YOU VERY MUCH / MUCHAS GRACIAS MESI ANPIL / MERCI BEAUCOUP ! ! ! Jean-Noel DEGRACE Météo-France Antilles-Guyane 15