NWP and AMMA case studies J.-P. Lafore, F. Beucher, F. Pouponneau, F. Rabier, C. Faccani, N. Fourrié, F. Karbou, P. Moll, M. Nuret, J-L Redelsperger, J.

Slides:



Advertisements
Similar presentations
EURO4M: European Reanalysis and Observations for Monitoring
Advertisements

Streamflow assimilation for improving ensemble streamflow forecasts G. Thirel (1), E. Martin (1), J.-F. Mahfouf (1), S. Massart (2), S. Ricci (2), F. Regimbeau.
Medium-range Ensemble Streamflow forecast over France F. Rousset-Regimbeau (1), J. Noilhan (2), G. Thirel (2), E. Martin (2) and F. Habets (3) 1 : Direction.
On the importance of meteorological downscaling for short, medium and long-range hydrological ensemble prediction over France G. Thirel (1), F. Regimbeau.
Description and validation of a streamflow assimilation system for a distributed hydrometeorological model over France. Impacts on the ensemble streamflow.
RSMC La Réunion activities regarding SWFDP Southern Africa Matthieu Plu (Météo-France, La Réunion), Philippe Arbogast (Météo-France, Toulouse), Nicole.
FORECASTING ACTIVITIES DURING THE SOP THE WEST AFRICA SYNTHETIC ANALYSIS WASA/F APPROACH J.P. Lafore 1, Z. Mumba 2, P. Chapelet 1, N. Chapelon 1, M. Dufresne.
Slide 1 Improved Initialization for Precipitation Forecasts: Analysis of the ETReC missions during COPS 2007 Andreas Dörnbrack, Martin Wirth, and George.
Adaptive Estimation and Tuning of Satellite Observation Error in Assimilation Cycle with GRAPES Hua ZHANG, Dehui CHEN, Xueshun SHEN, Jishan XUE, Wei HAN.
Ongoing developments on radar data assimilation in AROME E. Wattrelot and O. Caumont Météo-France/CNRM.
Data assimilation experiments for AMMA, using radiosonde observations and satellite observations over land F. Rabier, C. Faccani, N. Fourrié, F. Karbou,
Ensemble Sensitivity Analysis Applied to Tropical Cyclones: Preliminary Results from Typhoon Nuri (2008) Rahul Mahajan & Greg Hakim University of Washington,
The CONCORDIASI Workshop, Toulouse, March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system.
Jean-Luc Redelsperger and Chris Thorncroft, THORPEX Sept 2009 (1)The International AMMA Programme (2) AMMA activities directly related to THORPEX.
Slide 1 The 4th THORPEX-Asia Science Workshop and 9th ARC Meeting FY-3 satellite data tuning and assimilation Qifeng Lu National Satellite Meteorological.
Regional Data Impact Studies at NCAR And The JCSDA WMO Observation Impact Meeting, Geneva, Switzerland, March 27th 2008 Dale Barker, T. Auligne, M. Demirtas,
Edmund K.M. Chang School of Marine and Atmospheric Sciences
1 The GEMS production systems and retrospective reanalysis Adrian Simmons.
Norwegian Meteorological Institute met.no LAMEPS – Limited area ensemble forecasting in Norway, using targeted EPS Marit Helene Jensen, Inger-Lise Frogner,
ECMWF Training course 2010 slide 1 Towards an adaptive observation network: monitoring the observations impact in ECMWF forecast Carla Cardinali Office.
Slide 1 ECMWF Training Course - The Global Observing System - 06/2013 The Satellite Global Observing System Stephen English 1.A brief introduction to the.
Page 1 © Crown copyright 2005 ECMWF User Meeting, June 2006 Developments in the Use of Short and Medium-Range Ensembles at the Met Office Ken Mylne.
Slide 1The Wave Model - Last part Validation of wind & wave analysis using satellite & buoy. Altimeters onboard ERS-1/2, ENVISAT and Jason Quality is monitored.
The role of the stratosphere in extended- range forecasting Thomas Jung Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research Germany.
Africa Group paper session, Monday 18 February 2008 Charlie Williams Climate modelling in AMMA Ruti, P. M., Hourding, F. & Cook, K. H. CLIVAR Exchanges,
© University of Reading Richard Allan Department of Meteorology, University of Reading Thanks to: Jim Haywood and Malcolm.
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 NCAS SMA presentation 14/15 September 2004 The August 2002 European floods: atmospheric teleconnections and mechanisms Mike Blackburn (1), Brian Hoskins.
Seasonal variation of the errors in an objective analysis over Vietnam area Miki Hattori 1, Qoosaku Moteki 1, Jun Matsumoto 1, 2, Hironari Kanamori 2 and.
Improvements in Statistical Tropical Cyclone Forecast Models: A Year 2 Joint Hurricane Testbed Project Update Mark DeMaria 1, Andrea Schumacher 2, John.
Chapter 13 – Weather Analysis and Forecasting
Page 1 NAE 4DVAR Oct 2006 © Crown copyright 2006 Mark Naylor Data Assimilation, NWP NAE 4D-Var – Testing and Issues EWGLAM/SRNWP meeting Zurich 9 th -12.
EU Market Situation for Eggs and Poultry Management Committee 21 June 2012.
Characteristics of Convection in an African Easterly Wave Observed During NAMMA Robert Cifelli, Timothy Lang, Steven A. Rutledge Colorado State University.
Gergely Bölöni, Roger Randriamampinanina, Regina Szoták, Gabriella Csima: Assimilation of ATOVS and AMDAR data in the ALADIN 3d-var system 1 _____________________________________________________________________________________.
Translating Scientific Advancement into Sustained Improvement of Tropical Cyclone Warnings – the Hong Kong Experience C.Y. Lam Hong Kong Observatory Hong.
Development of Data Assimilation Systems for Short-Term Numerical Weather Prediction at JMA Tadashi Fujita (NPD JMA) Y. Honda, Y. Ikuta, J. Fukuda, Y.
Access to products from the SWFDP-EA RSMC, Nairobi web portal
Institut für Physik der Atmosphäre Institut für Physik der Atmosphäre Object-Oriented Best Member Selection in a Regional Ensemble Forecasting System Christian.
Introduction to data assimilation in meteorology Pierre Brousseau, Ludovic Auger ATMO 08,Alghero, september 2008.
Predictability Issues Associated with Explosive Cyclogenesis in the North-West Pacific Edmund K.M. Chang School of Marine and Atmospheric Sciences Stony.
The Structural Evolution of African Easterly Waves Matthew A. Janiga and Chris Thorncroft DEPARTMENT OF ATMOSPHERIC AND ENVIRONMENTAL SCIENCES University.
OWP: Radiosondes and profilers Doug Parker, CEH Wallingford, 21 January 2005.
Huang et al: MTG-IRS OSSEMMT, June MTG-IRS OSSE on regional scales Xiang-Yu Huang, Hongli Wang, Yongsheng Chen and Xin Zhang National Center.
Challenges for numerical weather prediction in the tropics: AMMA legacy Aida Diongue NIANG ANACIM METEOROLOGY Senegal.
Data assimilation and observing systems strategies Pierre Gauthier Data Assimilation and Satellite Meteorology Division Meteorological Service of Canada.
Boundary-layer Pressurised Balloons & Driftsondes Status of implementation on April 1 st 2006.
AMMA phase 2 and THORPEX-Africa Jean Philippe Lafore CNRM-GAME, Météo-France and CNRS, Toulouse, France With thanks to the AMMA-International Scientific.
Research and development on satellite data assimilation at the Canadian Meteorological Center L. Garand, S. K. Dutta, S. Heilliette, M. Buehner, and S.
Lessons learned from THORPEX THORPEX working group on Data Assimilation and Observing Strategies Florence Rabier (Météo-France and CNRS, France, Co-chair)
1 Using water vapor measurements from hyperspectral advanced IR sounder (AIRS) for tropical cyclone forecast Jun Hui Liu #, Jinlong and Tim.
AROME_WMED for HyMeX M.Nuret, N. Fourrié, E. Bresson, C. Jany, P. Brousseau, A. Doerenbecher and colleagues Météo-France / CNRM-GAME.
WORSHOP ON MODELING PWC/ICTP June 2003 IMPACT OF LAND USE CHANGE ON THE CLIMATOLOGY OF WEST AFRICA SARR, A. (SENEGAL) MONKAM, D. (CAMEROUN) INTSIFUL,
Lennart Bengtsson ESSC, Uni. Reading THORPEX Conference December 2004 Predictability and predictive skill of weather systems and atmospheric flow patterns.
Application of COSMIC refractivity in Improving Tropical Analyses and Forecasts H. Liu, J. Anderson, B. Kuo, C. Snyder, and Y. Chen NCAR IMAGe/COSMIC/MMM.
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,
Preliminary results from assimilation of GPS radio occultation data in WRF using an ensemble filter H. Liu, J. Anderson, B. Kuo, C. Snyder, A. Caya IMAGe.
Concordiasi Satellite data assimilation at high latitudes F. Rabier, A. Bouchard, F. Karbou, V. Guidard, S. Guedj, A. Doerenbecher, E. Brun, D. Puech +
Juliane Schwendike and Sarah Jones The Interaction between Convection and African Easterly Waves:
Global vs mesoscale ATOVS assimilation at the Met Office Global Large obs error (4 K) NESDIS 1B radiances NOAA-15 & 16 HIRS and AMSU thinned to 154 km.
OSEs with HIRLAM and HARMONIE for EUCOS Nils Gustafsson, SMHI Sigurdur Thorsteinsson, IMO John de Vries, KNMI Roger Randriamampianina, met.no.
METEO-FRANCE ACTIVITIES RELEVANT TO MEGHA-TROPIQUES Jean PAILLEUX et Mathieu NURET METEO-FRANCE (CNRM) 42 avenue G. Coriolis Toulouse Cedex 1 France.
European Centre for Medium-Range Weather Forecasts
The second AROME-WMED reanalysis of SOP1
Radar Data Assimilation
Daniel Leuenberger1, Christian Keil2 and George Craig2
Exploring Application of Radio Occultation Data in Improving Analyses of T and Q in Radiosonde Sparse Regions Using WRF Ensemble Data Assimilation System.
Causes of improvements to NWP (1979 – 2009)
Impact of Assimilating AMSU-A Radiances on forecasts of 2008 Atlantic TCs Initialized with a limited-area EnKF Zhiquan Liu, Craig Schwartz, Chris Snyder,
2007 Mei-yu season Chien and Kuo (2009), GPS Solutions
Presentation transcript:

NWP and AMMA case studies J.-P. Lafore, F. Beucher, F. Pouponneau, F. Rabier, C. Faccani, N. Fourrié, F. Karbou, P. Moll, M. Nuret, J-L Redelsperger, J. Stein CNRM-GAME, Météo-France and CNRS, Toulouse, France With thanks to: A. Agusti-Panareda, P. Bauer (ECMWF, Reading), O. Bock, P. Drobinski (IPSL/LMD and LATMOS, France), G. Berry, C. Thorncroft (SUNNY, US), W. Thiaw (NCEP, US), J. Heming (UKMET), R.D. Torn (NCAR, U. New York), J-B Ngamini (ASECNA, Senegal), Z. Mumba (ACMAD, Niger)… WWRP-THORPEX African Regional Committee meeting 8-10 May 2012, Geneva, Switzerland

évaluation AERES janvier Some NWP Scores Extra-Tropics (1/3) Always in progress! Reduction of dispersion Europe Atlantic domain Geopotential Z - RMS 500 hPa Range

évaluation AERES janvier Scores for Tropics: wind field V (2/3) h Wind intensity is a more pertinent variable in the Tropics Its is large ~5 m/s 850 hPa) and increases with altitude (~8 m/s 250 hPa) Dispersion between models is ~1 to 2 m/s (850 to 250 hPa) Progresses are slow! Tropiques/RS (55) RMS of V h range ( ) range 1 to 10 days V 850 V 250 Wind RMS error against TEMP observations increases fast with the forecast range at the same rate for all models V 250 V h

évaluation AERES janvier EUMETSAT (28-30 June 2011) WMO RAI Dissemination Expert Group 2nd Meeting 1. African Eaterly Waves scores for 4 NWPs in 2007 (3/3) Correlation coefficients as fct of the range of 700 hPa curvature vorticity Private communication by Gareth Berry et al Weak forecast skill for AEWs ( 2 days) Large dispersion between models for the Wave-Convection link and the variability at 3 longitudes

évaluation AERES janvier AMMA opportunity (1/7) AMMA-1 International project (Redelsperger et al. 2006) AMMA legacy: –Better understanding of the West African Monsoon –Observations of the WAM: improvement of the operational observation network (soundings…), GPS, driftsondes, surface conditions, satellite, research observations (lidar, radar, aircraft…) opportunity to evaluate NWP models and the impact of observations 30th Conference on Hurricanes and Tropical Meteorology (15-20 April 2012)

évaluation AERES janvier Impact on quantitative prediction of precipitation over Africa (2/7) Higher scores for AMMABC Lowest scores for NO AMMA CNTR: data from GTS AMMA: from the AMMA database AMMABC: AMMA + bias correction PreAMMA: with a 2005 network NOAMMA: No Radiosonde data Faccani et al, 2009 Positive impact of the assimilation of AMMA dataset Very poor performances of NOAMMA Best performance of AMMABC

évaluation AERES janvier Downstream impact (3/7) Impact on geopotential at 500hPa, averaged over 45 days 72hr forecasts: AMMABC vs PREAMMA Faccani et al, 2009

évaluation AERES janvier 2008 Impact on TCWV Average over the period 1 Aug-14 Sep06 2. Assimilation of AMSU-B over land (4/7) TCWV (EXP-CTL) More humidity in EXP TCWV diurnal cycle at TOMB Karbou et al, 2009a, b Positive impact of the assimilation of AMSU over land Large impact over Tropics in Monsoon regions especially over Africa and in region with a poor data coverage Improvement of the diurnal cycle

évaluation AERES janvier Assimilation of AMSU-B over land (5/7) T (EXP-CTL) Vz (EXP-CTL) Karbou et al. 2009a, b AEJ increase

évaluation AERES janvier 2008 EUMETSAT (28-30 June 2011) WMO RAI Dissemination Expert Group 2nd Meeting 2. Assimilation of AMSUB over land (6/7) 24h Karbou et al. 2009a, b Smaller errors in EXP 48h 72h Positive impact of the assimilation of AMSU over land Large impact over all Tropics on the wind field in the upper troposphere Forecast errors versus ECMWF analyses (forecast–analysis) 200hPa Z, 1-31 Aug06 Difference between EXP and CTR

évaluation AERES janvier AEW case study in 2006: Pre-Helene TS Torn (2010) (7/7) Ensemble-Based (96 members) Sensitivity Analysis (EnKF) WRF model ( km) Sensitivity to: initial state, convection schemes, resolution Rain, Curvature Vort. (mean, var) 1. Weak skill (<2 days) 2. Initial state Wave: at early stage mid-layer e: later 3. Better for CRM Propagation Growing ratePDF 3.

évaluation AERES janvier CRMs: AEWs - Convection (1/2) AMMA well-documented case July 2006 Barthe et al., 2010, Cuesta et al –Monsoon surge + AEW + Convection Observations AROME 5 km)ARPEGE RR (mm/h) + Vm (m/s) NWP at low resolution: Wrong diurnal cycle and AEW-convection coupling High-resolution (CRM): Better representation of the AEW-convection link

évaluation AERES janvier CRMs: precipitation distribution (2/2) Precipitation (latitude) ARPEGE 30th Conference on Hurricanes and Tropical Meteorology (15-20 April 2012) Different distributions of precipitation Meridional distribution Rain regimes: ARPEGE: weak events are too frequent intense events are rare CRM: distribution of events in better agreement with TRMM QPF scores improved for CRM positive impact of data assimilation (AMSU-B) Rain regimes contribution to total precipitation

évaluation AERES janvier Coupling with Dust AROME (5 km) coupled with a dust module on a large domain Evaluation on the March 2006 dust storm (Kocha et al 2011) –Positive feedback of dust on the cold surge intensity Simulation of the whole June 2006 month –Diurnal cycle, dust lifted by convective wakes –Negetive feedback on the Heat Low Forecast in June 2011 during the FENNEC experiment –Good forecast skill of convective dust storm 00UTC Wind, Dust surface MSG: aerosols - clouds

évaluation AERES janvier Conclusion Poor NWP skill over Tropics and especially over Africa is as compared with extra- tropics Due to large Roosby Radius (non-balanced flow, except TC), to the lack of observations and to the key role played by the physics (dry and moist convection, surface, radiation, turbulence, aerosols…) Nevertheless large scale thermodynamical and dynamical structures are rather well depicted and are very useful for forecasters. Major progresses in recent years especially in the assimilation area (microwave data) and the dispersion between models decrease Nevertheless the forecast skill of the water cycle and of precipitation progresses very slowly CRMs (few km) improve drastically some aspects of forecasts relative to convection (life cycle, duration, propagation…), the diurnal cycle, dusts… Need to improve the representation of convection (dry air issue for Africa) and its coupling with AEWs, surface, aerosols… Intra-seasonal variability potential predictability to be exploited

évaluation AERES janvier Further work Treatment of the Ougadougou flood case (2009) Comparison of different CRMs: –COSMO (KIT, Germany) –AROME (Météo-France) –New metrics (MCS tracking…) –Ensemble simulations (COSMO) Analysis at different scales (link with the ISV) Predictability –Wave-convection link –Coupling with the surface 30th Conference on Hurricanes and Tropical Meteorology (15-20 April 2012) WWRP-THORPEX African Regional Committee meeting 8-10 May 2012, Geneva, Switzerland

évaluation AERES janvier Some References Agustí-Panareda A, Beljaars A, Cardinali C, Genkova I, Thorncroft C. 2010a. Impact of assimilating AMMA soundings on ECMWF analyses and forecasts. Wea.Forecasting 25: 1142–1160. doi: /2010WAF Andreas H. Fink et al., 2011: Operational meteorology: observational networks, weather analysis and forecasting. Atmospheric Science Letters, Volume : 12, Issue : 1, Special Issue : Sp. Iss. SI, Pages : Doi : /asl.324 Faccani C, Rabier F, Fourri´e N, Agust´ı-Panareda A, Karbou F, Moll P, Lafore JP, Nuret M, Hdidou FZ, Bock O The impact of the AMMA radiosonde data on the French global assimilation and forecast system. Weather and Forecasting 24: 1268–1286. Karbou F, Rabier F, Lafore JP, Redelsperger JL, Bock O. 2010b. Global 4D-Var assimilation and forecast experiments using AMSU observations over land. Part II: impact of assimilating surface sensitive channels on the African Monsoon during AMMA. Weather and Forecasting 25: 20–36. Redelsperger J-L, Thorncroft CD, Diedhiou A, Lebel T, Parker DJ, Polcher J African Monsoon Multidisciplinary Analysis: An international research project and field campaign. Bull. Am. Meteorol. Soc. 87: 1739–1746. Torn R. D. 2010: Ensemble-Based Sensitivity Analysis Applied to African Easterly Waves.. Weather and Forecasting 25: 20– doi: /2009WAF th Conference on Hurricanes and Tropical Meteorology (15-20 April 2012) WWRP-THORPEX African Regional Committee meeting 8-10 May 2012, Geneva, Switzerland