25th EWGLAM and 10th SRNWP Meeting - 6-9Oct2003 - Lisbon THE USE OF NWP PRODUCTS AT THE PORTUGUESE WEATHER FORECASTING CENTRE Teresa Abrantes Instituto.

Slides:



Advertisements
Similar presentations
STATUS OF SEVERE WEATHER FORECASATING IN BURUNDI. In Burundi we make very short and short range weather forecasting (from 1 to 3 days) We make use of products.
Advertisements

Access to products from the SWFDP-EA RSMC, Nairobi web portal
Early stages of the recovery of Portuguese historical meteorological data Maria Antónia Valente (1), Ricardo Trigo (2), Manuel Barros (3), Luís Filipe.
The Forecast Process. Objectives Develop a best practice scheme for the use of data in producing a forecast Produce a ‘flow chart’ illustrating this for.
Aeronautical Meteorology Service of China
GM versus LAM: one case of deep convection (27 August 2001) Manuel João Lopes; Margarida Belo Pereira; Pedro Miranda Instituto de Meteorologia Faculdade.
Development of high spatial resolution Forest Fire Index for boreal conditions Applications to Helsinki Testbed area - Preliminary results- Andrea Vajda,
Chapter 9: Weather Forecasting Acquisition of weather information Acquisition of weather information Weather forecasting tools Weather forecasting tools.
EMS ECAM 13 september 2011 GlamEps: Current and future use in operational forecasting at KNMI Adrie Huiskamp.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Numerical weather prediction from short to long range.
Forecasting convective initiation over Alpine terrain by means of automatic nowcasting and a high-resolution NWP model Georg Pistotnik, Thomas Haiden,
RECENT PROGRESS IN CONVECTIVE PHENOMENA MONITORING AND FORECASTING AT THE INM F. Martín, F. Elizaga, I. San Ambrosio and J. M. Fernández Servicio de Técnicas.
Using Short Range Ensemble Model Data in National Fire Weather Outlooks Sarah J. Taylor David Bright, Greg Carbin, Phillip Bothwell NWS/Storm Prediction.
Tropical cyclone analysis and forecasting : products and tools
Francesca Marcucci, Lucio Torrisi with the contribution of Valeria Montesarchio, ISMAR-CNR CNMCA, National Meteorological Center,Italy First experiments.
LAM activities in Romania Raluca RADU National Meteorological Administration, Bucharest, Romania ALADIN model ALADIN model.
Forecasting and Numerical Weather Prediction (NWP) NOWcasting Description of atmospheric models Specific Models Types of variables and how to determine.
ECMWF Forecasting System - Overview. Background/Establishment 1969Expert group in meteorology propose ‘European Meteorological Computing Centre’ 1975ECMWF.
COSMO GM2013.E.Astakhova,D.Alferov,A.Montani,etal The COSMO-based ensemble systems for the Sochi 2014 Winter Olympic Games: representation and use of EPS.
The National Environmental Agency of Georgia L. Megrelidze, N. Kutaladze, Kh. Kokosadze NWP Local Area Models’ Failure in Simulation of Eastern Invasion.
Advances in the use of observations in the ALADIN/HU 3D-Var system Roger RANDRIAMAMPIANINA, Regina SZOTÁK and Gabriella Csima Hungarian Meteorological.
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.
NWP Activities at INM Bartolomé Orfila Estrada Area de Modelización - INM 28th EWGLAM & 13th SRNWP Meetings Zürich, October 2005.
Meso-γ 3D-Var Assimilation of Surface measurements : Impact on short-range high-resolution simulations Geneviève Jaubert, Ludovic Auger, Nathalie Colombon,
Post-Processing at DWD Post-Processing at DWD Sebastian Trepte (FEZE) Grid-based forecasts COSMO, GME - derived products (thunderstorm ind., weather-related.
Blended Course on the Principles of Satellite Meteorology 21 st April – 15 th July 2009 Classroom June 2009 Final Presentation – Convection – 09May2009.
Improvement of Short-term Severe Weather Forecasting Using high-resolution MODIS Satellite Data Study of MODIS Retrieved Total Precipitable Water (TPW)
Radar in aLMo Assimilation of Radar Information in the Alpine Model of MeteoSwiss Daniel Leuenberger and Andrea Rossa MeteoSwiss.
08/20031 Volcanic Ash Detection and Prediction at the Met Office Helen Champion, Sarah Watkin Derrick Ryall Responsibilities Tools Etna 2002 Future.
LAPS __________________________________________ Analysis and nowcasting system for Finland/Scandinavia Finnish Meteorological Institute Erik Gregow.
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.
Chapter 9: Weather Forecasting Surface weather maps 500mb weather maps Satellite Images Radar Images.
Short-Range Ensemble Prediction System at INM José A. García-Moya SMNT – INM 27th EWGLAM & 12th SRNWP Meetings Ljubljana, October 2005.
Operational ALADIN forecast in Croatian Meteorological and Hydrological Service 26th EWGLAM & 11th SRNWP meetings 4th - 7th October 2004,Oslo, Norway Zoran.
Application of Numerical Weather Prediction Prognoses to Operational Weather Forecasting in Hong Kong Pre-CAS Technical Conference on "Environmental Prediction.
NWP Activities at INM José A. García-Moya SMNT – INM 27th EWGLAM & 12th SRNWP Meetings Ljubljana, October 2005.
5.32 Estimating regions of tropopause folding and clear-air turbulence with the GOES water vapor channel Tony Wimmers, Wayne Feltz Cooperative Institute.
25 th EWGLAM/10 th SRNWP Lisbon, Portugal 6-9 October 2003 Use of satellite data at Météo-France Élisabeth Gérard Météo-France/CNRM/GMAP/OBS, Toulouse,
Prolonged heavy rain episode in Lithuania on 5-8 July 2007 Izolda Marcinonienė Lithuanian Hydrometeorological Service.
21-22 March 2005 LMD, Palaiseau, France CHIMERE workshop Air quality assessment for Portugal A. Monteiro, C. Borrego, A.I. Miranda, R. Vautard Universidade.
Layered Water Vapor Quick Guide by NASA / SPoRT and CIRA Why is the Layered Water Vapor Product important? Water vapor is essential for creating clouds,
Central Institute for Meteorology and Geodynamics INCA-CE ─ A Central European Initiative for Severe Weather Warnings and Improved Communication Strategies.
COSMO General Meeting Zurich, 2005 Institute of Meteorology and Water Management Warsaw, Poland- 1 - Simple Kalman filter – a “smoking gun” of shortages.
Researchal and operational applications of ECMWF data at HMS Tamás Allaga Hungarian Meteorological Service (OMSZ), Budapest Key words: HAWK-3 workstation,
3-D rendering of jet stream with temperature on Earth’s surface ESIP Air Domain Overview The Air Domain encompasses a variety of topic areas, but its focus.
Matthew Lagor Remote Sensing Stability Indices and Derived Product Imagery from the GOES Sounder
High impact weather nowcasting and short-range forecasting using advanced IR soundings Jun Li Cooperative Institute for Meteorological.
LAM activities in Austria in 2003 Yong WANG ZAMG, AUSTRIA 25th EWGLAM and 10th SRNWP meetings, Lisbon,
ALADIN 3DVAR at the Hungarian Meteorological Service 1 _____________________________________________________________________________________ 27th EWGLAM.
Dmitry Alferov, Elena Astakhova, Gdaly Rivin, Inna Rozinkina Hydrometcenter of Russia 13-th COSMO General Meeting, Rome, 5-9 September 2011.
À frente do nosso tempo MONITORIZAMOS O TEMPO O CLIMA A ACTIVIDADE SÍSMICA CONTRIBUÍMOS PARA UM MUNDO MAIS SEGURO e UM DESENVOLVIMENTO SUSTENTÁVEL National.
The Convective Rainfall Rate in the NWCSAF
Use of radar data in the HIRLAM modelling consortium
SWFDP in the Antilles (RA IV)
Maria Monteiro Limited Area Modelling Activities at Portuguese Meteorological Service (2002/2003) Maria Monteiro
Vegetation stress and summer fire activity in Portugal
Volcanic Ash Detection and Prediction at the Met Office
The art of weather forecasting
Weather Forecasting Fundamentals
Tony Wimmers, Wayne Feltz
Weather Forecasts.
Naval Research Laboratory
Upper Air Data The Atmosphere is 3D and can not be understood or forecast by using surface data alone.
The use of SAFNWC products at Instituto de Meteorologia (IM), Portugal
Forecast verification at the Meteorological and Hydrological Service of Croatia Lovro Kalin.
SRNWP-PEPS COSMO General Meeting September 2005
Weather Forecasts.
Weather Forecasts.
MPEF DIVergence product Interpretation scheme
Presentation transcript:

25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon THE USE OF NWP PRODUCTS AT THE PORTUGUESE WEATHER FORECASTING CENTRE Teresa Abrantes Instituto de Meteorologia - Portugal

Observation Network - IM 93 automatic stations ( ) - 78 mainland - 9 Azores - 6 Madeira 3 radiossonde stations receiver and processing WS-satellites 1 radar (in a near future 2 more) lightning detection network 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon

The Forecasting Centres Weather Watch, Forecasting and Information Centre - VPI Faro Porto Regional Centre Aeronautical Centre (airport) -Azores- Madeira -Lisbon- AeronauticGeneral and Maritime 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon Azores

General Forecasts Nowcasting Nowcasting Very short range forecasts (12 h) Very short range forecasts (12 h) Short range forecasts (D, D1-D3) Short range forecasts (D, D1-D3) - Regional forecasts (11 regions) Medium range forecasts (D4-D6) Medium range forecasts (D4-D6) Outlook D7-D9 Outlook D7-D9 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon

Sea State Forecasts R High seas R Shallow waters R Onshore waters 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon

Delivery of the products ÜAutofax /manual fax ÜTelex (maritime network) ÜDedicated links (TV, Air Force Meteo, Southland-Nato) Ü attached files ÜInternet (public and protected Web pages) ÜTeleTempo (value added telephone) ÜFaxTempo (value added fax) 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon

Civil Protection and Fireman Service Videoconference Regional Centre in Azores Aeronautical Centre Briefings 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon

NWP Products 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon ECMWF MetOffice Arpège ALADIN GLOBAL MODELS LAM Charts processed by MAGICS (routine package) Fields visualised with  METVIEW (ECMWF)  VISMET (IM)  ARCO IRIS (IM)  GÉNIO (IM-ALADIN)

NWP Products - Sea 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon MAR3G Model (IM) Input: ECMWF 10m wind MAR3G (Ray model) High seas Parametric description of sea state Shallow waters ECMWF WAM output Significant height Mean direction Mean period

MSLP+wind+T2m MSLP+Wet bulb potential temperature 850 hPa MSLP+relative humidity 700 hPa Vertical motion+relative humidity 700hPa ECMWFECMWF 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon

ECMWF - EPS products Plumes  Stamp maps  Probability charts  EPSgrams  Other products available on 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon

Precipitation 850 hPa temperature anomaly Wind >10 m/s>15 m/s > - 8° > 5 mm> 10 mm> 20 mm > + 8°> - 4°> + 4° > 1 mm Forecast probabilities

Meteogram - Lisboa 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon

Forecasted Tephigram CAPE CAPE CIN CIN LI LI TPW TPW 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon Post-processing parameters

METVIEW processing  DIAGNOSIS: Z 500 hPa + wind VT H+24 + IR image at 12 UTC 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon Z 300 hPa + WV at 12 UTC

LAM - ALADIN T2m 950 hPa RH 10m wind Forecasts up to H , 950, 925, 900, 850, 800, 700, 600, 500, 400, 300, 250, 200, 150, 100 hPa (15 levels) 1h steps Surface and altitude parameters 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon Runs: 00 and 12 UTC Area: 44.8N, 12.2W, 35.1N, 1.7W Hor. Res: 12.7 km

LAM - ALADIN 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon Use of ALADIN at the Weather Forecasting Centre Short range forecast (D, D+1, D+2)  General and regional forecasts  Special forecasts  FOREST FIRES special regional forecasts wind field tendency of the FWI

Fire Weather Index (FWI) tendency ALADIN – Derivated Products 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon Values available in each point of a regular grid in latitude and longitude Tend 24 = FWI (H+24) – FWI (H+00) FWI tendency between D and D+1 Tend 48 = FWI (H+48) – FWI (H+24) FWI tendency between D+1 e D+2 The graphic presentation of these values is done automatically, in order to obtain two charts, with those tendencies (DIF 24 e DIF 48 ) of the fire weather index FWI, daily. FWI - Tend 24 FWI - Tend 48

Future at IM: 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon LAM - ALADIN Post-processing parameters MAR3G based on the wind field - ALADIN Forecasted tephigram Short-range EPS ? Future ??

WGCEF Meeting - 5Oct Lisbon RUN: 30Set UTC / H+12 01Out UTC ALADINECMWF What is the decision of the forecaster ?

WGCEF Meeting - 5Oct Lisbon RUN: 30Set UTC / H+48 02Out UTC ALADIN ECMWF What is the decision of the forecaster ?

Thank you for your attention 25th EWGLAM and 10th SRNWP Meeting - 6-9Oct Lisbon