Contribución UIB-DFS a HyMeX Eventos extremos en el ciclo hidrológico Mediterráneo: física y predecibilidad V. Homar R. Romero A. Amengual M. Vich L. Garcies.

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

Weather Forecasting This chapter discusses: 1.Various weather forecasting methods, their tools, and forecasting accuracy and skill 2.Images for the forecasting.
External Influences on Cyclone Formation Working Group 2.1 W. M. Frank, G. J. Holland, P. Klotzbach, J. L. McBride, P. E. Roundy Contributions: J. Molinari.
ENSEMBLES General Assembly, Prague, Czech Republic, November 2007 Potential WP Participants (known absentees underlined): DJF, DISAT, FMI, FUB, LUND,
Regional Climate Services Workshop 2011 University of Victoria, Canada, November European Climate Data and Information Products for Monitoring and.
The effect of indiscriminate nudging time in regional climate modeling of the Mediterranean basin Tamara Salameh, Philippe Drobinski, Thomas Dubos and.
The new German project KLIWEX-MED: Changes in weather and climate extremes in the Mediterranean basin Andreas Paxian, University of Würzburg MedCLIVAR.
HyMeX Véronique Ducrocq, Philippe Drobinski Chairs of HyMeX Executive Committee CNRM-GAME,
JMA Takayuki MATSUMURA (Forecast Department, JMA) C Asia Air Survey co., ltd New Forecast Technologies for Disaster Prevention and Mitigation 1.
Nowcasting and Short Range NWP at the Australian Bureau of Meteorology
Ensemble Sensitivity Analysis Applied to Tropical Cyclones: Preliminary Results from Typhoon Nuri (2008) Rahul Mahajan & Greg Hakim University of Washington,
HyMeX – activity report Véronique Ducrocq (HyMeX EC-ISC chair, Météo-France) THORPEX – ICSC-10, 3-5 October Presented by Philippe.
Assimilation of T-TREC-retrieved wind data with WRF 3DVAR for the short-Term forecasting of Typhoon Meranti (2010) at landfall Xin Li 1, Yuan Wang 1, Jie.
HyMeX (*) an experimental program dedicated to the hydrological cycle in Mediterranean
Norwegian Meteorological Institute met.no LAMEPS – Limited area ensemble forecasting in Norway, using targeted EPS Marit Helene Jensen, Inger-Lise Frogner,
ECMWF Training Course 2009 – NWP-PR
The Wave Model ECMWF, Reading, UK.
PV Diagnostics Meteorological Training Course 25 April 2006
Slide 1 The Wave Model ECMWF, Reading, UK. Slide 2The Wave Model (ECWAM) Resources: Lecture notes available at:
ECMWF Training Course 2005 slide 1 Forecast sensitivity to Observation Carla Cardinali.
Greenhouse Gases and Climate Change: Global Changes and Local Impacts Anthony J. Broccoli Director, Center for Environmental Prediction Department of Environmental.
Exploratory methods to analyse output from complex environmental models Exploratory methods to analyse output from complex environmental models Adam Butler,
The European flooding of summer 2002 and its global connections Mike Blackburn, Brian Hoskins, Pete Inness, Julia Slingo Centre for Global Atmospheric.
The European flooding of summer 2002 and its global connections Mike Blackburn, Brian Hoskins, Pete Inness, Julia Slingo Centre for Global Atmospheric.
Large-scale context for the UK floods in Summer 2007 Submitted to Weather, 14 May 2008 Mike Blackburn 1 John Methven 2 and Nigel Roberts 3 (1) National.
1 PV Generation in the Boundary Layer Robert Plant 18th February 2003 (With thanks to S. Belcher)
1 NCAS SMA presentation 14/15 September 2004 The August 2002 European floods: atmospheric teleconnections and mechanisms Mike Blackburn (1), Brian Hoskins.
Climate Prediction Division Japan Meteorological Agency Developments for Climate Services at Japan Meteorological Agency 1.
Welcome to the Cloud Nasara!
IGES Executive Roundtable on Climate April 25, 2012.
5 March 2003National Weather Service State College PA Mid-Atlantic Severe Weather Climatological Aspects by Kevin S. Lipton Richard H. Grumm and John LaCorte.
Where and when should one hope to find added value from dynamical downscaling of GCM data? René Laprise Director, Centre ESCER (Étude et Simulation du.
AgroCLIM software tool for effective calculation of agrometeorological indices ADAGIO & COST 734 Miroslav Trnka, Petr Hlavinka, Jan Balek, Josef Eitzinger,
Forecasting Heavy Precipitation Associated with Cool-season 500-hPa Cutoff Cyclones in the Northeast Melissa Payer, Lance F. Bosart, Daniel Keyser Department.
ISU Atmospheric Component Update – Part I Justin Glisan Iowa State University.
指導教授:李錫堤 教授 學生:邱奕勛 報告日期:
Climate Analysis for Enhanced Resilience Ben Zaitchik Johns Hopkins University.
Thomas Kjeldsen, Michael Hilden, and many others Henk Wolters
Climate change impacts and water in Western Balkan Blaz Kurnik EEA + colleagues from ETC.
Anticipating Heavy Rainfall: Forecast Aspects By Richard H. Grumm* National Weather Service State College PA and Robert Hart The Pennsylvania State.
1 McGill University Department of Civil Engineering and Applied Mechanics Montreal, Quebec, Canada.
“A LPB demonstration project” Celeste Saulo CIMA and Dept. of Atmos. and Ocean Sciences University of Buenos Aires Argentina Christopher Cunningham Center.
Louisville, KY August 4, 2009 Flash Flood Frank Pereira NOAA/NWS/NCEP/Hydrometeorological Prediction Center.
PROGRESOS RECIENTES EN BASE AL MODELO MM5: ACTIVIDADES DEL GRUPO 01 4ª REUNIÓN RED IBÉRICA MM5 (AVEIRO, ABRIL 2007) Grupo de Meteorología, Dept.
Hydrometeorological ensemble forecasts for the 28 September 2012 (IOP8) extreme flash- flood in Murcia, Spain A. Amengual and V. Homar Grup de Meteorologia,
School of Civil, Environmental and Mining Engineering Life Impact | The University of Adelaide Wednesday, 4 th April 2012 Changes to sub-daily rainfall.
IPCC Projection (AR 4, 2007) The annual mean rainfall exhibits increasing trends in Bangladesh. Decadal rain anomalies are above long term averages since.
Examination of the Dominant Spatial Patterns of the Extratropical Transition of Tropical Cyclones from the 2004 Atlantic and Northwest Pacific Seasons.
Impacts of Climate Change on Physical Systems PPT
How far can global models predict extreme hydrological events Hervé Le Treut 28/06/2015.
Inclusion of potential vorticity uncertainties into a hydrometeorological forecasting chain: Application to a flash-flood event over Catalonia, Spain A.
Climate Forecasting Unit Prediction of climate extreme events at seasonal and decadal time scale Aida Pintó Biescas.
© Crown copyright Met Office Climate Projections for West Africa Andrew Hartley, Met Office: PARCC national workshop on climate information and species.
South Eastern Latin America LA26: Impact of GC on coastal areas of the Rio de la Plata: Sea level rise and meteorological effects LA27: Building capacity.
Observing Strategy and Observation Targeting for Tropical Cyclones Using Ensemble-Based Sensitivity Analysis and Data Assimilation Chen, Deng-Shun 3 Dec,
ATM 601 Research Ideas Ben, Casey, Michael, Philippe, Stephanie.
Workshop on Theory and Use of Regional Climate Models, ICTP, Trieste, 26 May - 6 June ARIAL PROGRAMME ON REGIONAL CLIMATE VARIABILITY AND CHANGE.
Celeste Saulo and Juan Ruiz CIMA (CONICET/UBA) – DCAO (FCEN –UBA)
Comparison of Atmospheric Rivers depicted from satellite and NWP reanalysis Wenze Yang 1 and Ralph Ferraro 2 1. UMD/ESSIC/CICS, College Park, MD .
Characterization of tropical convective systems Henri Laurent IRD/LTHE Cooperation with Brazil CTA (Centro Técnico Aeroespacial) CPTEC (Centro de Previsião.
Analysis and modelling of the 2010 Pakistan heavy precipitation events Milind Mujumdar Centre for Climate Change Research (CCCR), Indian Institute of Tropical.
Assimilation of radar observations in mesoscale models using approximate background error covariance matrices (2006 Madison Flood Case) 1.
Moisture and the Ageostrophic Wind in a Cool-season Coastal Cyclone Matt Vaughan ATM 619.
Impact of North Atlantic hurricanes on episodes of intense rainfall over the Mediterranean Florian Pantillon1,2 Jean-Pierre Chaboureau1 and Evelyne.
Mid-latitude cyclone dynamics and ensemble prediction
Disclaimer The material contained in this PPT is a raw model output and research product. This is meant for scientific use.
Disclaimer The material contained in this PPT is a raw model output and research product. This is meant for scientific use.
Overview of USWRP’s International H2O Project (IHOP_2002)
South Eastern Latin America
SWFDP Key Issues for GIFS-TIGGE
Presentation transcript:

Contribución UIB-DFS a HyMeX Eventos extremos en el ciclo hidrológico Mediterráneo: física y predecibilidad V. Homar R. Romero A. Amengual M. Vich L. Garcies M. Tous C. Ramis S. Alonso

HyMeX.es Líneas principales UIB WG3: Heavy rainfall, flash-floods and floods WG4: Intense sea-atmosphere interactions 1.to improve our understanding of the water cycle, with emphases on the predictability and evolution of intense events 2. to evaluate the societal and economical vulnerability to extreme events and the adaptation capacity Objetivos HyMeX

HyMeX.es WG3: Heavy rainfall, flash-floods and floods Topic 3.1a- Heavy precipitation systems climatology

HyMeX.es WG3: Heavy rainfall, flash-floods and floods Topic 3.1b- Factors leading to heavy precipitation systems Análisis numérico de factores (separación de factores): Contorno (orografia, superficie marina, tipo suelo) Procesos Físicos (evaporación, liberación calor latente, calor sensible) Estructuras dinámicas (vaguadas, centros ciclónicos, estructuras PV)

HyMeX.es 15 UTC 9 UTC Reference MM5 With nudging Radar reflectivities 5 WG3: Heavy rainfall, flash-floods and floods Topic 3.1b- Factors leading to heavy precipitation systems

HyMeX.es WRF : Front structure at 12 UTC Өe à 850 hPa Өe vertical section A-B A katafront 6 WG3: Heavy rainfall, flash-floods and floods Topic 3.1b- Factors leading to heavy precipitation systems

HyMeX.es WG3: Heavy rainfall, flash-floods and floods Topic 3.1f-Modeling and predictability issues Generación de SPC (ensembles) Multifísica Perturbación CI basada en PV Perturbación CI basada en BredVectors Perturbación CI basada en Adjunto Mejora de CI a través de targeting a corto y medio plazo

HyMeX.es We easily compute probabilities of future outcomes: Time Initial fields Prediction 18 ºC (20%) 16 ºC (50%) 14 ºC (30%) Ensemble prediction systems WG3: Heavy rainfall, flash-floods and floods Topic 3.1f-Modeling and predictability issues

HyMeX.es New generation method for extreme events: “Targeted” bred vectors ln(ρ) = -1.3 ω 2 = 1.8 ln(ρ) = -3.5 ω 2 = 0.1 ln(ρ) = -1 ω 2 = 0.5 ln(ρ) = -.5 ω 2 = 1.5 ln(ρ) = 0 ω 2 = 5 WG3: Heavy rainfall, flash-floods and floods Topic 3.1f-Modeling and predictability issues

HyMeX.es WG3: Heavy rainfall, flash-floods and floods Topic 3.1f-Modeling and predictability issues

HyMeX.es WG3: Heavy rainfall, flash-floods and floods Topic 3.1f-Modeling and predictability issues

HyMeX.es THE SCENE THE CRIME THE SUSPECTSUS, THE RESEARCHERS WG3: Heavy rainfall, flash-floods and floods Topic 3.1f-Modeling and predictability issues

HyMeX.es Forecasting process WG3: Heavy rainfall, flash-floods and floods Topic 3.1f-Modeling and predictability issues

HyMeX.es ADJOINT ENSEMBLE-1 ENSEMBLE-2 HUMAN NON-SENS A cylindrical gaussian perturbation is applied at t-48h to the IC with an amplitude proportional to their zonal standard deviation and centered on the maximum of the mean sensitivity field. Geopotential height at 500hPa: Sensitivity locations: ADJOINT ENSEMBLE-1 ENSEMBLE-2 HUMAN NON-SENS Sensitivities of Mediterranean Intense Cyclones: Analysis and Verification WG3: Heavy rainfall, flash-floods and floods Topic 3.1f-Modeling and predictability issues

HyMeX.es Mean normalized RMSD of MSLP over the 25 verification cyclone cases: Sensitivities of Mediterranean Intense Cyclones: Analysis and Verification WG3: Heavy rainfall, flash-floods and floods Topic 3.1f-Modeling and predictability issues

HyMeX.es WG3: Heavy rainfall, flash-floods and floods Topic 3.1f-Modeling and predictability issues

HyMeX.es WG3: Heavy rainfall, flash-floods and floods Topic 3.2d-Modeling and predictability issues

HyMeX.es WG3: Heavy rainfall, flash-floods and floods Topic 3.2d-Modeling and predictability issues

HyMeX.es To improve our understanding from global climate model outputs to regional and local spatial scales: GCMs Dynamical downscaling RCMs -Regional scales: Dynamical downscaling. Regional Climate Models (RCMs) Statistical downscaling -Local scales: Statistical downscaling and model calibration from RCMs WG3: Heavy rainfall, flash-floods and floods Topic 3.3-Impact of climate change on heavy precipitation and flash-floods

HyMeX.es WG3: Heavy rainfall, flash-floods and floods Topic 3.3-Impact of climate change on heavy precipitation and flash-floods

HyMeX.es SPdP: change in annual intensity trends of extreme events ( / ) WG3: Heavy rainfall, flash-floods and floods Topic 3.3-Impact of climate change on heavy precipitation and flash-floods

HyMeX.es Líneas principales UIB WG3: Heavy rainfall, flash-floods and floods WG4: Intense sea-atmosphere interactions 1.to improve our understanding of the water cycle, with emphases on the predictability and evolution of intense events 2. to evaluate the societal and economical vulnerability to extreme events and the adaptation capacity Objetivos HyMeX

HyMeX.es WG4: Intense sea-atmosphere interactions Topic 4.1a-Local severe winds 10 Desembre Setembre Gener Octubre 1996

HyMeX.es WG4: Intense sea-atmosphere interactions Topic 4.1a-Local severe winds

HyMeX.es + B.C. + Hydrostatic Eq. ÊPV inversion (Hoskins et al., 1985) WG4: Intense sea-atmosphere interactions Topic 4.1b-Mediterranean cyclogenesis

HyMeX.es APÉNDICES

HyMeX.es

HyMeX.es

Acción complementaria Plan Nacional Red HyMeX.es Financiar: Viajes a Workshops, Reuniones HyMeX.es Portal comunicación online, Secretaría? Grupos Interesados?