Developments in large scale physics Presented by Yves Bouteloup 14 th ALADIN Workshop Innsbruck, 1-4 June 2004.

Slides:



Advertisements
Similar presentations
EURO4M Météo-France motivations and contributions.
Advertisements

Basics of numerical oceanic and coupled modelling Antonio Navarra Istituto Nazionale di Geofisica e Vulcanologia Italy Simon Mason Scripps Institution.
GABLS workshop, Stockholm, June 2007 Simple but realistic cases from Cabauw for GABLS Fred Bosveld (KNMI) with contributions from: Peter Baas Gert.
Joint GABLS-GLASS/LoCo workshop, September 2004, De Bilt, Netherlands Interactions of the land-surface with the atmospheric boundary layer: Single.
Introduction to data assimilation in meteorology Pierre Brousseau, Ludovic Auger ATMO 08,Alghero, september 2008.
1D Dice Experiment at Meteo-France and LES preliminary result E. Bazile, I. Beau, F. Couvreux and P. Le Moigne (CNRM/GAME) DICE Workshop Exeter October.
Training course: boundary layer IV Parametrization above the surface layer (layout) Overview of models Slab (integral) models K-closure model K-profile.
Page 1 NAE 4DVAR Mar 2006 © Crown copyright 2006 Bruce Macpherson, Marek Wlasak, Mark Naylor, Richard Renshaw Data Assimilation, NWP Assimilation developments.
Introduction to parametrization Introduction to Parametrization of Sub-grid Processes Anton Beljaars room 114) What is parametrization?
The Problem of Parameterization in Numerical Models METEO 6030 Xuanli Li University of Utah Department of Meteorology Spring 2005.
Slide 1 Assimilation of near real time GEOV Albedo and Leaf Area Index within the ECMWF modelling system Souhail Boussetta, Gianpaolo Balsamo, Emanuel.
Richard T. McNider Atmospheric Sciences Department University of Alabama in Huntsville The Role of the Physical Atmosphere in Air.
Fog Forecasting at Roissy Airport (Paris) with 1D model Thierry Bergot and Joël Noilhan Météo-France 1) Methodology Cobel : 1D model of boundary layer.
Presentation of surface analyses (temperature and soil moiture over continental area, sea surface temperature, sea ice cover, snow) François Bouyssel with.
6 th SMOS Workshop, Lyngby, DK Using TMI derived soil moisture to initialize numerical weather prediction models: Impact studies with ECMWF’s.
Stable Boundary Layers over Land Bert Holtslag Wageningen University, NL Towards a better representation of the Atmospheric Boundary Layer in Weather and.
AMMA-UK Kick-off meeting Jan 2005 WP1 Land surface and atmosphere interactions Chris Taylor Phil Harris.
Are the results of PILPS or GSWP affected by the lack of land surface- atmosphere feedback? Is the use of offline land surface models in LDAS making optimal.
Improved NCEP SST Analysis
ALADIN/RC LACE Data Assimilation Mini-Workshop, Budapest, October 20 th -22 th Smoothing of Soil Wetness Index (SWI) in ALADIN/LACE domain Stjepan.
THE EFFECT OF THE SURFACE CHARACTERISTICS ON THE DICE RESULTS SEEN BY THE MESONH MODEL M. A. Jiménez, P. Le Moigne and J. Cuxart DICE workshop, October.
The ELDAS system implementation and output production at Météo-France Gianpaolo BALSAMO, François BOUYSSEL, Jöel NOILHAN ELDAS 2nd progress meetin – INM.
1. Objectives Impacts of Land Use Changes on California’s Climate Hideki Kanamaru Masao Kanamitsu Experimental Climate Prediction.
Verification and Case Studies for Urban Effects in HIRLAM Numerical Weather Forecasting A. Baklanov, A. Mahura, C. Petersen, N.W. Nielsen, B. Amstrup Danish.
Status report from the Lead Centre for Surface Processes and Assimilation E. Rodríguez-Camino (INM) and S. Gollvik (SMHI)
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Conditional verification of all COSMO countries: first.
Météo-France / CNRM – T. Bergot 1) Introduction 2) The methodology of the inter-comparison 3) Phase 1 : cases study Inter-comparison of numerical models.
Update on model development Meteo-France Meteo-France CLOUDNET workshop - Exeter 5-6/04/2004 François Bouyssel.
Soil moisture generation at ECMWF Gisela Seuffert and Pedro Viterbo European Centre for Medium Range Weather Forecasts ELDAS Interim Data Co-ordination.
Part I: Representation of the Effects of Sub- grid Scale Topography and Landuse on the Simulation of Surface Climate and Hydrology Part II: The Effects.
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
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.
Overview of GABLS achievements as relevant for LOCO Bert Holtslag Thanks to Bob Beare, Joan Cuxart, Gunilla Svensson and many others… GEWEX Atmospheric.
HNMS contribution to CONSENS Petroula Louka & Flora Gofa Hellenic National Meteorological Service
Synthesis NOAA Webinar Chris Fairall Yuqing Wang Simon de Szoeke X.P. Xie "Evaluation and Improvement of Climate GCM Air-Sea Interaction Physics: An EPIC/VOCALS.
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.
EWGLAM Oct Some recent developments in the ECMWF model Mariano Hortal ECMWF Thanks to: A. Beljars (physics), E. Holm (humidity analysis)
Implementation and preliminary test of the unified Noah LSM in WRF F. Chen, M. Tewari, W. Wang, J. Dudhia, NCAR K. Mitchell, M. Ek, NCEP G. Gayno, J. Wegiel,
T. Bergot - Météo-France CNRM/GMME 1) Methodology 2) Results for Paris-CdG airport Improved site-specific numerical model of fog and low clouds -dedicated.
Evapotranspiration Eric Peterson GEO Hydrology.
Modeling and Evaluation of Antarctic Boundary Layer
MM5 studies at Wageningen University (NL) Title Jordi Vilà (Group 4) NL North sea Radar MM5 NL North sea.
Decreased clouds and convection Decreased net radiation Increased albedo Reduced vegetation cover Decreased latent heat flux Decreased sensible heat flux.
A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5 Yi-Chih Huang.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Poster Presentation Working Group 3: Physical Aspects.
Initial Results from the Diurnal Land/Atmosphere Coupling Experiment (DICE) Weizhong Zheng, Michael Ek, Ruiyu Sun, Jongil Han, Jiarui Dong and Helin Wei.
Page 1 Developments in regional DA Oct 2007 © Crown copyright 2007 Mark Naylor, Bruce Macpherson, Richard Renshaw, Gareth Dow Data Assimilation and Ensembles,
Use of ALADIN for dynamical downscaling of precipitation Jure Cedilnik University of Ljubljana, Slovenia.
1 INM’s contribution to ELDAS project E. Rodríguez and B. Navascués INM.
Climate and Global Change Notes 17-1 Earth’s Radiation & Energy Budget Resulting Seasonal and Daily Temperature Variations Vertical Temperature Variation.
O. Yevteev, M. Shatunova, V. Perov, L.Dmitrieva-Arrago, Hydrometeorological Center of Russia, 2010.
Evaluation of cloudy convective boundary layer forecast by ARPEGE and IFS Comparisons with observations from Cabauw, Chilbolton, and Palaiseau  Comparisons.
One-dimensional assimilation method for the humidity estimation with the wind profiling radar data using the MSM forecast as the first guess Jun-ichi Furumoto,
Météo-France / CNRM – T. Bergot 1) Methodology 2) The assimilation procedures at local scale 3) Results for the winter season Improved Site-Specific.
Land-Surface evolution forced by predicted precipitation corrected by high-frequency radar/satellite assimilation – the RUC Coupled Data Assimilation System.
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.
Radiative-Convective Model. Overview of Model: Convection The convection scheme of Emanuel and Živkovic-Rothman (1999) uses a buoyancy sorting algorithm.
June 20, 2005Workshop on Chemical data assimilation and data needs Data Assimilation Methods Experience from operational meteorological assimilation John.
A New Climatology of Surface Energy Budget for the Detection and Modeling of Water and Energy Cycle Change across Sub-seasonal to Decadal Timescales Jingfeng.
3. Modelling module 3.1 Basics of numerical atmospheric modelling M. Déqué – CNRM – Météo-France J.P. Céron – DClim – Météo-France.
Soil analysis scheme for AROME within SURFEX
Smoothing of Soil Wetness Index (SWI) in ALADIN/LACE domain
A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5
ALADIN / HIRLAM 19th Workshop / All-Staff Meeting Utrecht, May 2009
Introduction to Land Information System (LIS)
Winter storm forecast at 1-12 h range
Conditional verification of all COSMO countries: first results
Mire parameterization
Short Term forecasts along the GCSS Pacific Cross-section: Evaluating new Parameterizations in the Community Atmospheric Model Cécile Hannay, Dave Williamson,
Presentation transcript:

Developments in large scale physics Presented by Yves Bouteloup 14 th ALADIN Workshop Innsbruck, 1-4 June 2004

Modifications made in the operational suite Pre-conditioning of second minimization Pre-conditioning of second minimization Modifications without impact on forecasts : Modifications without impact on forecasts : - New surface fields in DDH - Developments in order to use the new format of NESDIS SST files - Modifications in the codes for futur use Change in the analyse of the soil moisture (over land) Change in the analyse of the soil moisture (over land) Change in the cloud scheme Change in the cloud scheme New radiation scheme : FMR15 New radiation scheme : FMR15 Presented by F. Bouyssel (Prague 2003)

Operational surface scheme (ISBA) Thermal exchange Analysed parameters Surface temperature “Deep” temperature Surface water contains Total water contains Hydrous exchange A description of the soil and vegetation’s characteristic at any grid point is given by a database (percentage of sand, clay, albedo, fraction of vegetation, foliar index …) A description of the soil and vegetation’s characteristic at any grid point is given by a database (percentage of sand, clay, albedo, fraction of vegetation, foliar index …)

It’s very important to have a good initialisation of soil moisture over land  The soil moisture has a very important impact in the distribution of the net heat surface solar flux between latent heat and sensible heat  Has a large impact on the evolution of the PBL  The variation of soil moisture has a time scale of several weeks. Difficulties of soil moisture analyse :  No direct observation  Large spatial variability Useful observations :  Precipitations (pluvio, radars)  SYNOP (T2m,H2m)  Satellite observations (MW,IR)

Correlation between T2m errors and soil moisture for a 42 hours range forecast 17 june 2000 at 18h

W p a - W p f  WpT  T 2m +  WpRH  RH 2m 2) Then correction of the surface variables (T s, T p, W s, W p ) using 2m difference between analyse values and observations. Operational surface analyse 1) First an optimal analyse of T2m et H2m T 2m t WpWp t RH 2m t 6-h 12-h 18-h 0-h  T 2m = T 2m a - T 2m f  RH 2m = RH 2m a - RH 2m f T s a - T s f  T 2m T p a - T p f  T 2m /  W s a - W s f  WsT  T 2m +  WsRH  RH 2m  Wp/sT/RH = f (t, veg, LAI/Rs min, texture, atm.cds.)

spatial smoothing of soil wetness index new statistical scheme for background error (for 2m fields) reduced corrections for deep soil moisture, dividing by 2 the coefficients removal of time smoothing taken into account of the solar zenithal angle into the optimal coefficients Modifications introduced in the surface analyse These modifications were proposed along last years by Stjepan Ivatek-Sahdan, Agnesz Mika and François Bouyssel (ALADIN Newsletter 21 and 22) and they were evaluated by Adam Dziedzic and François Bouyssel in a cheap assimilation suite along June 2003 (Newsletter 24) The suite is based on a blending between the modified surface and low-level fields and the large-scale upperair analysis increments from the operational 4d-var assimilation suite.

Soil wetness index for 2 may 2004 OPER DBL

Modifications of the soil moisture analyse : impact on the scores Experiments with a “simplified” assimilation cycle : * 2 month in summer : 1/5/2003 to 3/7/2003 * 2 month in winter : 1/12/2003 to 3/2/2004 Scores of the surface parameters forecast : * neutral on 10m wind and surface pressure * neutral on T2m and H2m in winter * improvment on T2m and H2m in summer over Europe, neutral elsewhere T2m H2m DBL OPER Scores SYNOP 16 forecast 96h 15/06/03 to 3/07/03

Behaviour of the double suite during 2003 midsummer heat : Maximum forecast temperature over France OBS OPER DBL August meter temperature

Behaviour of the double suite during 2003 midsummer heat Number of grid point with Tmax > 35° or 40° Number of grid point Jully and august DBL > 35° OPER > 35° DBL > 40° OPER > 40°

Behaviour of the double suite during 2003 midsummer heat OPER DBL OBS OPER DBL Tmax Convective precipitation

Scores of the double suite (AC) GeopotentialTemperature

Scores of the double suite (AC) WindMoisture

Excessive cooling on the 2 first levels of the model operdouble

Prospects 1) In operation since 24 of may 2) Next experimental suite : - Use of UGAMP climatology for ozone (excessive cooling) - Use of aerosols climatology - Variable mixing length for turbulence 3) … : - Collaboration between GMGEC (Climat) and GMAP on new schemes for turbulence (TKE), microphysic (Lopez) and convection (G é rard, Gueremy ???) 3) Medium time prospects … : - Collaboration between GMGEC (Climat) and GMAP on new schemes for turbulence (TKE), microphysic (Lopez) and convection (G é rard, Gueremy ???)

The UGAMP climatology The UGAMP ozone climatology has been built up by Dingmin Li and Keith P. Shine at the department of meteorology of the University of Reading. It’s a 4-dimensional distribution of atmospheric ozone resulting from the combination of several observational data sets. These data sets include satellite observations (SBUV, SAGE II, SME, TOMS) as well as ozone sonde data provided by the Atmospheric Environment Service of Canada. This global climatology covering five years (1985 to 1989), For more details see : Li, D. and K. P. Shine : A 4-dimensional Ozone Climatology for UGAMP Model, UGAMP Internal Report 35, April Or :

UGAMP climatology : total ozone in dopson (ARPEGE/ALADIN value : 284 DU ) january march julyseptember

Use of the UGAMP climatology The same analytical formula is used : In ARPEGE /ALADIN a= , b=3166 and c=3 This work is similar to the one made by Rada & al (2000) in Bucharest but with a climatology The new system try to fit the formula to the climatology under 3 constraints : -- Total ozone is conserved -- Altitude of maximum -- Value of the maximum in DU/hpa Rada C., A. Sima and M. Caian, 2000 : Ozone Profile Fitted to Bucharest Measured Data, ALADIN Newsletter 18, 51-57

Sometimes the result is very good: Sometimes it’s not perfect ! Arpege/aladin profile (dot) Climatology (dash) Fitted profile (red solid) July 0°E 20°N July 0°E 45°N

Global impact of the new ozone profiles Double suite Double suite + UGAMP Difference

Modifications of the turbulence scheme (work of Eric Bazile on a GABLS case) Louis formulation for turbulence : with : Where R’ i is a function of the Richardson number R i, of the mixing length L h and z J. Cuxart, A.A.M. Holtslag, R.J. Beare, E. Bazile, A. Beljaars, A. Cheng, L. Conangla, M. Ek, F. Freedman, R. Hamdi, A. Kerstein, H. Kitagawa, G. Lenderink, D. Lewellen, J. Mailhot, T. Mauritsen, V. Perov, G. Schayes, G-J. Steeneveld, G. Svenson, P. Taylor, S. Wunsch, W. Weng, and K-M. Xu (2004). Single-column model intercomparison for a stably stratified atmospheric boundary layer (in internal review) GABLS : GEWEX Atmospheric Boundary Layer Study GEWEX : Global Energy and Water Cycle Experiment

Modifications of the turbulence scheme The mixing length becomes a function of the PBL height The PBL height is computed following Troen and Mahrt (1986) Troen I. And L. Mahrt, (1986). A simple model of the atmosphere boundary layer; sensitivity to surface evaporation. Bound.-Layer Meteor., 37: The function F m and F h has been modified  Slight improvement of wind and temperature profiles in stable cases (1d)  Improvement on the GABLS case (better low level jet), and in 3d simulations

Modifications of the function F m and F h

Impact of the modifications of the turbulence scheme Gabls case : Wind   theta 3d test 24 forecasts in january 2004 : Improvement of 10m wind direction 