ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L Regional climate modelling in Belgium with the Regional.

Slides:



Advertisements
Similar presentations
SIMULATION OF THE MONSOON SEASON IN SOUTH AMERICA DURING EXTREME PHASES OF ENSO: AND Intraseasonal variations Sensitivity experiments.
Advertisements

Development of Bias-Corrected Precipitation Database and Climatology for the Arctic Regions Daqing Yang, Principal Investigator Douglas L. Kane, Co-Investigator.
Scaling Laws, Scale Invariance, and Climate Prediction
Climate change in the Antarctic. Turner et al, Significant warming of the Antarctic Winter Troposphere. Science, vol 311, pp Radiosonde.
Lucinda Mileham, Dr Richard Taylor, Dr Martin Todd
Task: (ECSK06) Regional downscaling Regional modelling with HadGEM3-RA driven by HadGEM2-AO projections National Institute of Meteorological Research (NIMR)/KMA.
Earth Science & Climate Change
Precipitation Extremes in Western U.S. Urban Areas: How Reliable are Regional Climate Model Projections Vimal Mishra 1, Francina Dominguez 2, and Dennis.
Focus on the Terrestrial Cryosphere Cold land areas where water is either seasonally or permanently frozen. Terrestrial Cryosphere 0.25 m Frost Penetration.
THORPEX-Pacific Workshop Kauai, Hawaii Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio David H. Bromwich.
HYDRANT: The role of clouds in Antarctic hydrologic cycle Project scientist: Irina Gorodetskaya, LGGE (France)/KU-Leuven Project leader: Nicole van Lipzig,
Section 3.4 Introduction to the West African Monsoon.
Geophysical Modelling: Climate Modelling How advection, diffusion, choice of grids, timesteps etc are defined in state of the art models.
Assessment of Future Change in Temperature and Precipitation over Pakistan (Simulated by PRECIS RCM for A2 Scenario) Siraj Ul Islam, Nadia Rehman.
Verification of Numerical Weather Prediction systems employed by the Australian Bureau of Meteorology over East Antarctica during the summer season.
Report from CLARIS WP3.1: Climate Change Downscaling Partners: CNRS, CONICET, UBA, ¿IMPE?, ¿USP?, INGV, UCLM, UCH, MPI External partners: SENAMHI (Peru),
Mesoscale Modeling and Regional Climate Da-Lin Zhang Department of Meteorology, University of Maryland.
Unit 2: World Climate Patterns Understanding Climate Zones
Current and planned Project with the Regional Climate Model Regional climate simulations over southern South America and sensitivity experiments Silvina.
Regional Climate Modeling in the Source Region of Yellow River with complex topography using the RegCM3: Model validation Pinhong Hui, Jianping Tang School.
© 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.
Coupled Climate Models OCEAN-ATMOSPHEREINTERACTIONS.
Effect of Tibetan snow on Indian Summer monsoon rainfall using RegCM3 M. S. Shekhar (India) B. R. S. B. Basnayake (Sri Lanka) A. U. Ahmed (Bangladesh)
EGU General Assembly C. Cassardo 1, M. Galli 1, N. Vela 1 and S. K. Park 2,3 1 Department of General Physics, University of Torino, Italy 2 Department.
Simulations with the MesoNH model from 27 August 2005 to 29 August 2005 (6UTC) performed by Meteo-France CNRM Nicole Asencio See powerpoint comments associated.
Modelling of climate and climate change Čedo Branković Croatian Meteorological and Hydrological Service (DHMZ) Zagreb
Concours CNRS CR2, Section 19. Meudon, 17 Mars 2010 Irina Gorodetskaya Candidate for Laboratoire de Glaciologie et Géophysique de l’Environnement, (UMR.
Irina Gorodetskaya, Michael S. Town, Hubert Gallée Laboratoire de Glaciologie et Géophysique de l’Environnement, Grenoble,France EGU, Vienna 23 Apr
Non-hydrostatic Numerical Model Study on Tropical Mesoscale System During SCOUT DARWIN Campaign Wuhu Feng 1 and M.P. Chipperfield 1 IAS, School of Earth.
Operational sub-regional Long-Range Forecasting Unit at RA VI Regional Climate Center – South-East European Virtual Climate Change Center Vladimir Djurdjevic.
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 3rd.
HYDRANT: The role of clouds in Antarctic hydrologic cycle Project scientist: Irina Gorodetskaya, LGGE (France)/KU-Leuven Project leader: Nicole van Lipzig,
Climate Scenario and Uncertainties in the Caribbean Chen,Cassandra Rhoden,Albert Owino Anthony Chen,Cassandra Rhoden,Albert Owino Climate Studies Group.
A Numerical Study of Early Summer Regional Climate and Weather. Zhang, D.-L., W.-Z. Zheng, and Y.-K. Xue, 2003: A Numerical Study of Early Summer Regional.
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,
Development of Climate Change Scenarios of Rainfall and Temperature over the Indian region Potential Impacts: Water Resources Water Resources Agriculture.
Effect of Tibetan snow on Indian Summer monsoon rainfall using RegCM2.5 M. S. Shekhar & S. K. Dash Indian Institute of Technology Delhi Hauz Khas, New.
The evolution of climate modeling Kevin Hennessy on behalf of CSIRO & the Bureau of Meteorology Tuesday 30 th September 2003 Canberra Short course & Climate.
Scientific Advisory Committee Meeting, November 25-26, 2002 Dr. Daniela Jacob Regional climate modelling Daniela Jacob.
Didier Swingedouw (1), Fichefet T. (1), Huybrechts P. (2), Goosse H. (1), Driesschaert E, Loutre M.-F (1), (1) Université catholique de Louvain, Institut.
Experience with ROMS for Downscaling IPCC Climate Models 2008 ROMS/TOMS European Workshop, Grenoble, 6-8 October Bjørn Ådlandsvik, Paul Budgell, Vidar.
Irina Gorodetskaya *, Hubert Gallée, Gerhard Krinner Laboratoire de Glaciologie et Géophysique de l’Environnement, Grenoble,France * Now at: Katholieke.
Bogdan Rosa 1, Marcin Kurowski 1 and Michał Ziemiański 1 1. Institute of Meteorology and Water Management (IMGW), Warsaw Podleśna, 61
Meteorologisches Institut der Universitat Munchen A shallow convection case from BBC: Results from the WMO international cloud modelling workshop Nicole.
Evaluation of regional climate simulations with WRF model in conditions of central Europe Jan Karlický, Tomáš Halenka, Michal Belda, (Charles University.
Heavy precipitation Heavy precipitation Poland under water, July 1997 Group 13 Convective closure shemesDomain size & resolution Soil moistureBoundary.
Eric Salathé JISAO Climate Impacts Group University of Washington Rick Steed UW Yongxin Zhang CIG, NCAR Cliff Mass UW Regional Climate Modeling and Projected.
Vincent N. Sakwa RSMC, Nairobi
HYDROCARE Kick-Off Meeting 13/14 February, 2006, Potsdam, Germany HYDROCARE Actions 2.1Compilation of Meteorological Observations, 2.2Analysis of Variability.
Important data of cloud properties for assessing the response of GCM clouds in climate change simulations Yoko Tsushima JAMSTEC/Frontier Research Center.
Fact Statements.  Surface currents are mainly caused by prevailing winds.  Their flow is controlled by the winds, Earth’s rotation and location of the.
NOAA Northeast Regional Climate Center Dr. Lee Tryhorn NOAA Climate Literacy Workshop April 2010 NOAA Northeast Regional Climate.
Climate Change & The Probability of Extreme Events Brian Hoskins Royal Society Research Professor & Professor of Meteorology University of Reading Department.
Actions & Activities Report PP8 – Potsdam Institute for Climate Impact Research, Germany 2.1Compilation of Meteorological Observations, 2.2Analysis of.
World Geography Chapter 3
Global Circulation Models
ALADIN / HIRLAM 19th Workshop / All-Staff Meeting Utrecht, May 2009
Verification of dynamically downscaled results around Japan Islands
HYDROCARE Actions & Activities Report and
Phan Van Tan Ngo Duc Thanh, Ho Thi Minh Ha
Mesoscale “Surprises” in Complex Terrain Revealed by Regional Climate Simulations Cliff Mass, Atmospheric Sciences University of Washington.
Climate Theory Introduction
Laurent Li Laboratoire de Météorologie Dynamique, IPSL/CNRS, Paris
On HRM3 (a.k.a. HadRM3P, a.k.a. PRECIS) North American simulations
Development of a three-dimensional short range forecast model
Present and Future Antarctic climate simulations using Modèle Atmosphérique Régional forced with LMDZ GCM Irina Gorodetskaya, Hubert Gallée, Gerhard Krinner.
Presentation transcript:

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L Regional climate modelling in Belgium with the Regional Climate Model MAR Emilie Vanvyve – 1st year PhD student Pr. J.-P. van Ypersele (adviser, UCL-ASTR, Belgium) Dr H. Gallée (co-adviser, LGGE, France) Université catholique de Louvain (Louvain-la-Neuve, Belgium) Institute of astronomy and geophysics Georges Lemaître 26 May – 6 June 2003 Workshop on the Theory and Use of Regional Climate Models

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L Contents 1.Motivations... Future climate in Belgium ?  Thesis subject & plan 2.The MAR model 3.Current simulations : December 1993, a very wet month … Some results 4.Conclusion & next steps

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L 1. Climate change... Future climate in Belgium ? MORE intense precipitation events (IPCC, WGI) – : observed changes : likely (66-90%), over many Northern Hemisphere mid- to high latitude land areas – : projected changes : very likely (90-99%), over most areas Floods in Belgium –in winter (long rainfall) : too much rain on a too long time –in summer (storms) : too much rain on a too short time Thesis subject Study of the global warming impacts on the extreme precipitation regime over Belgium for the 21st century with a RCM : Modèle Atmosphérique Régional

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L Validation of MAR for simulating intense precipitation events in present climate –Winter 1993, winter 1995, summer 2002 Climate change study –Reference simulation : 10 years in actual climate –Climate change simulation : middle 21st century 1. Climate change... Future climate in Belgium ? Phys. disaggregator of precip. Hydrological model Hydro-meteo coupling MAR Re-analyses (ECMWF) MAR output GCM (LMDz)

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L 2. The MAR model (Gallée & Schayes, 1994) Some features –Limited-area model (grid-point, primitive equations) –Hydrostatic (non-hydrostatic in development) –  levels, cartesian horizontal coordinates (1 to 50 km-resolution), 0 to 3D –Initial and boundary conditions : ECMWF, GCM output, MAR output, observations, … –Surface submodel : Deardorff (1978), SISVAT (Soil/Ice Snow Vegetation Atmosphere Transfer scheme) Used in France (LGGE, LTHE, LMD), Belgium (ASTR-UCL), Benin, Ivory Coast Over : –Polar regions (Antarctica, Greenland) : mass balance –Africa (Western Africa) : hydrology, synoptic, stochastic disaggregation, interannual variability, convection –Europe : physical disaggregation in the Alpes, intense (precipitation) events, GCM coupling

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L Period December 1993 Domain 4320x4320 km Resolution 40 km Time step 120 s Initialisation re-analysis (ECMWF) Boundary forcing re-analysis (ECMWF), every 6 hours Other Deardorff (surface submodel) Fritsch-Chappell (convective adjustment) 3. Current simulations : December 1993, a very wet month … MAR setup « Belgium » MAR domain (108x108x40)

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L 3. Current simulations : December 1993, a very wet month … Sea-level pressure (daily mean) in « Belgium » Royal Meteorological Institute (Brussels) observations : Whole month characterized by successive low pressure systems from the 7th December, leading to an extreme rainy weather and serious floods in the southern Belgium.       MAR RE-ANALYSIS Temperature at 750 hPa (daily mean) in « Belgium »

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L 3. Current simulations : December 1993, a very wet month … Effect of domain size on the monthly precipitation amount smallestmedium largest

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L 3. Current simulations : December 1993, a very wet month … Effect of domain size on the monthly precipitation amount in « Belgium » smallest domain medium domainlargest domain

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L 3. Current simulations : December 1993, a very wet month … Monthly precipitation amount (largest domain) MAR GPCC « Belgium » Total Snowfall Non-convective Convective

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L 3. Current simulations : December 1993, a very wet month … Daily/monthly precipitation in Belgium RMI observations : maxima between 20 and 70 mm/day observed on the 12th, 19th, 20th and 30th MAR simulated precipitation = 65% of observed precipitations    

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L Conclusion & next steps Daily values of temperature, pressure agree with observations Daily and spatial distribution of precipitation agrees with observations But precipitation amount is underestimated by ± 35%. Possible error sources : –Coarse definition of sub-domain « Belgium » –MAR resolution too low –ECMWF fields : enough water ? –Model physics well parameterized/adapted to the situation ?  December 1993 meteorological situation over Belgium is well simulated by MAR. Go on with the validation of winter 1993, …

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L 2. The MAR model Limited-area model (grid-point, primitive equations) [Gallée & Schayes, 1994, UCL-ASTR] DYNAMICS Hydrostatic (non-hydrostatic in development) Grid  normalized pression (upto 60 levels) Cartesian horizontal coordinates 1 to 50 km-resolution 0D (ground) to 3D Initial and boundary conditions ECMWF re-analysis, GCM (LMDz), … observations (necessary pre-processing) MAR outputPHYSICS Radiative transfers : Solar (Fouquart & Bonnel, 1980), Infrared (Morcrette, 1984) Turbulence closures : 1.5 order (Therry & Lacarrère, 1982), K-e (Duynkerke, 1980) Convective adjustement : Bechtold (2000), Fritsch & Chappell (1980) + Brasseur (1999), Kain & Fritsch (1990) Microphysics (Kessler, 1969) Surface layer fluxes (Businger, 1973) Surface submodel : Deardorff (1978), SISVAT (Soil/Ice Snow Vegetation Atmosphere Transfer Scheme) SST (ERA-15, Reynolds SST, …)

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L 2. The MAR model LGGE (France) [H. Gallée] –Polar regions (Antarctica) : mass balance ASTR (Belgium) [J.-P. van Ypersele](  Yvory Coast) –Polar regions (Greenland) : mass balance –Europe : intense precipitation events LTHE (France)(  Benin) –Africa (Western Africa) : hydrology, synoptic, stochastic disaggregation, interannual variability, convection –Europe (Alpes) : physical disaggregation LMD (France) –Europe : GCM coupling

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L Southern part of the domain : cold bias Cold bias linked to a pressure positive bias T MAR (600 hPa) – T ECMWF (600 hPa)Sea-level P MAR – Seal-level P ECMWF

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L Climate change in Belgium ? MORE intense precipitation events (IPCC, WGI) Confidence in observed changes ( ) : likely (66-90%), over many Northern Hemisphere mid- to high latitude land areas Confidence in projected changes ( ) : very likely (90-99%), over most areas Precipitation and temperature changes versus reference period Belgium (IS92a scenario) Winter

ASTR Institute of astronomy and geophysics G. Lemaître –– Université catholique de Louvain U C L LMD LMD (Paris, France) EUROPE EUROPE with P. Marbaix (BIOCLIM) GCM coupling ASTR (UCL, Belgium) J.-P. VAN YPERSELE POLARGreenland) POLAR (Greenland) with X. Fettweis (mass balance) EUROPE (& Belgium) EUROPE (& Belgium) with E. Vanvyve (climate change, intense precipitation events) the MAR team MARMAR LGGE LGGE (Grenoble, France) POLAR (Antarctic) POLAR (Antarctic) with H. GALLEE (conception, mass balance) (VIDAS, ATHENA, RIME) Continental ice Africa – hydrology Polar Benin Ivory Coast LTHE LTHE (Grenoble, France) AFRICA (Sahel) continental water Hydrological coupling Synoptic Stochastic disaggregation Interannual variability Convection EUROPE (Alpes) Physical disaggregation