Snow-atmosphere interactions at Dome C, Antarctica
|
|
- Valerie Small
- 5 years ago
- Views:
Transcription
1 Snow-atmosphere interactions at Dome C, Antarctica Éric Brun, Vincent Vionnet CNRM/GAME (Météo-France and CNRS) Christophe Genthon, Delphine Six, Ghislain Picard LGGE (CNRS and UJF)... and many colleagues from both labs. Boulder, October 2011
2 2 Outline Boundary-Layer studies at Dome C : work from C. Genthon and colleagues Snow-atmosphere coupled simulations
3 LGGE - IPEV: Boundary layer on the Antarctic plateau
4 FROM LAST YEAR'S MEETING IN TOULOUSE: - Maintain instruments for CONCORDIASI SOP 2010: Yes - Compare ARPEGE / AROME CONCORDIASI analyses: No - Process sonic data => Turbulence (e.g. TKE) and energy balance analyses: To some extent - Expand from surface: - to full BL (tethered kites/balloons ; profiler) - to troposphere (clouds, satellites): To some extent
5 Air temperature C Maintain the observing system: now more than 2 years on record very contrasted : 2009 / 2010 warmest / coldest winter in the decade
6 Model evaluation of the BL temperature ECMWF and MAR: - Agreement broadly good - Inversions under-stimated Comparison with ARPEGE / AROME still to be done
7 Sonic data: Direct turbulence evaluations
8 First comparisons betwween observed and simulated turbulence
9 Beyond 45 m? - Model / meteorological analyses - One radiosounding per day - Radiometers / profilers (AMSTRAD / P. Ricaud) - Flying devices
10 Dome C / Concordia : a very convenient site to simulate snow-atmosphere interactions Flat, horizontal and quasi-infinite terrain Relatively homogeneous snow surface (scale dependant) Moderate wind velocity Sophisticated instrumentation at Concordia base: BSRN radiation observations LGGE/IPEV and PNRA boundary layer and surface observations LGGE continuous snow temperature profiles LGGE detailed density, temperature and SSA profiles in Summer Radio-soundings... Differences with South Pole station: high diurnal cycle more challenging under IASI swath! 10
11 11 Boundary layer observation from a 45m tower (LGGE) for process studies and models evaluation
12 ... assimilation of Infra Red radiances : a major challenge for most meteorological models Assimilation schemes rely on the capacity of meteorological models to simulate the observations (observation operators) IASI measures IR radiances over 8468 IR wave bands which are emitted by the surface and modulated by the atmosphere Measured radiances by IASI are very sensitive to surface temperature Snow temperature variations are poorly captured by simple snow schemes Concordiasi field campaign: an ideal framework to investigate the sensitivity of IASI data assimilation to the complexity of snow representation in meteorological models 12
13 13 Methodology of the present study Evaluation of a 11-day stand-alone simulation of Crocus snow model: Observed meteorological forcing: Downwards LW and SW observations from BSRN Air temperature, humidity and wind speed from LGGE No significant precipitation and no snow drift during the period Initialization from an observed temperature profile (L. Arnaud) Adjustment of initial top density (2cm hoar-like layer) and snow grains detailed evaluation of surface and near-surface temperature Fully coupled snow-atmosphere simulation using the meteorological model AROME and the same configuration of Crocus Evaluation of the coupled simulation both in the boundary-layer and in the near-surface snowcover
14 14 Main characteristics of Crocus : an ancient 1-D snow model now embedded in SURFEX LSM Physical processes: Snow /rain precipitation Radiative balance turbulent fluxes Liquid Water content Density Temperature Snow grains Ground thermal flux Water run-off - thermal diffusion - water flow, phase changes - spectral albedo, light penetration - compaction - metamorphism - snow/soil coupling - wind compaction - variable number of snow layers - no blowing snow - no interaction with vegetation - no air flow inside the snowpack
15 15 Snow surface temperature observations
16 Performance of Crocus in stand-alone mode: hourly snow surface temperature Stand-alone simulation ISBA_ES/Crocus Observation from emitted LW (BSRN) 2010 January 20th. to 31st January 2010 bias = K rmse = 1.16 K correlation = Input meteorological data from BSRN (ISAC-CNR) and LGGE 16
17 Simulation of the propagation of the diurnal heat waves inside the snowcover 2010 January 20th. to 31st Observed snow temperature profile from Laurent Arnaud 17
18 18 Simulated energy budget of snowcover Sensible heat released to the atmosphere during cloudy days
19 19 Characteristics of the coupled simulation Same configuration and initial state of the snow model 20 numerical layers z0 = 1 mm Richardson limit = 0.1 AROME : regional model for Numerical Weather Prediction 2.5km, non-hydrostatic, domain 625 x 625 km² centered around Dome C 60 vertical levels bottom 3 levels : 8.5, 27 and 51 m Turbulent Kinetic Energy as a pronostic variable turbulent fluxes boundary conditions and daily initial states from ARPEGE ARPEGE: global model stretched over Antartica, 4D-Var ARPEGE/IFS library : Météo-France, ECMWF, ALADIN/HIRLAM, Meso-NH Full coupling between snowcover and the atmosphere thanks to SURFEX (externalized land surface model) Cycling of the snowcover throughout the 11-day simulation
20 Coupled simulation results: surface temperature at the Dome C gridpoint bias = K rms = 3.54 K correlation =
21 21 Surface Temperature ( C) Very encouraging improvement if we refer to operational ARPEGE forecasts Operational ARPEGE output Observation from emitted LW Operational ARPEGE output - too warm Observation from emitted LW - too weak diurnal cycle 2010 January 20th. to 31st
22 Coupled simulation results: near-surface snow temperature 22
23 Coupled simulation results at Dome C grid point: wind speed and boundary layer temperature 23
24 24 Poor performance of cloudiness simulation... bias = -0.2 W m 2 rmse = 28 W m 2 r = 0.05! => Is it due to a snow-atmosphere feedbacks?
25 25....same problems for most meteorological models! A very challenging issue: - deficencies in polar cloud micro-physics? - deficiencies in water vapor assimilation?
26 Snow surface temperature during the second half period ( h loc. time to h) bias = K rmse = 1.8 K correlation =
27 27 Conclusions and perspectives Good performance of the detailed snow model in stand-alone mode: - diurnal cycle of surface temperature - diurnal heat-wave propagation through the snowpack -... but high sensitivity to the top snow layer characteristics (density, grain size) Performance of the coupled snow-atmosphere simulation: - reasonable simulation of surface temperature - good simulation of the propagation of diurnal heat-waves through the snow pack - good simulation of boundary-layer characteristics: profiles of wind speed and of the diurnal temperature amplitude - main errors due to a poor simulation of cloudiness Evolution of snow schemes in meteorological models: - Improvements to be expected from an evolution of snow schemes over the Antarctic Plateau in NWP and climate models - An extensive use of the driftsondes is planned for extending the present study to the assimilation process, to other areas and other seasons
28 28
29 29 Simulated boundary-layer conditions
30 30 Prevailing meteorological conditions
31 An example of density simulation from observed forcing data (Col de Porte, 1320 m a.s.l) Snow Depth (cm) Winter season Nov. 1st Dec. 1st Jan. 1st Feb. 1st Mar. 1st Density(kg/m3) Apr. 1st May. 1st 31
32 First test on IASI assimilation in ARPEGE (V. Guidard) Surface temperature over Antarctica 32 Grid points frequency) Standard ARPEGE snow scheme Modified snow schemes Obs guess departure (K)
The Concordiasi Project
The Concordiasi Project WWRP, THORPEX, WCRP POLAR PREDICTION WORKSHOP Oslo, 6-8 October 2010 by Florence Rabier, Concordiasi project leader and Eric Brun CNRM/GAME : Météo-France and CNRS 1 Part of THORPEX-IPY
More informationGABLS4: an intercomparison of models in extremely stable conditions over Antarctica
GABLS4: an intercomparison of models in extremely stable conditions over Antarctica Fleur Couvreux*, E Bazile*, G Canut*, P LeMoigne*, O Traullé*, C Genthon, W Maurel*, E Vignon, and all the participants
More informationThe HAMSTRAD Programme at DOME C, Antarctica
Acknowledgements: People at DC; Institutions: CNRS/INSU, IPEV, CNES and Ether. The HAMSTRAD Programme at DOME C, Antarctica P. Ricaud, J.-L. Attié, F. Carminati, P. Durand and G. Canut Meteo France/CNRM
More informationThe Concordiasi Project Additional observations over Antarctica for NWP
The Concordiasi Project Additional observations over Antarctica for NWP F. Rabier, L. El Amraoui, V. Guidard, S. Noton-Haurot, A. Doerenbecher, D. Puech, P. Brunel, A. Vincensini, H. Bénichou, Ph Cocquerez,
More informationF. Rabier, N. Saint-Ramond, V. Guidard, A. Doerenbecher, A. Vincensini Météo-France and CNRS
Impact of observations in the Southern Polar Area during the Concordiasi field experiment F. Rabier, N. Saint-Ramond, V. Guidard, A. Doerenbecher, A. Vincensini Météo-France and CNRS C. Cardinali ECMWF
More informationCharacteristics of the night and day time atmospheric boundary layer at Dome C, Antarctica
Characteristics of the night and day time atmospheric boundary layer at Dome C, Antarctica S. Argentini, I. Pietroni,G. Mastrantonio, A. Viola, S. Zilitinchevich ISAC-CNR Via del Fosso del Cavaliere 100,
More informationUsing kilometric-resolution meteorological forecasts and satellite-derived incoming radiations for snowpack modelling in complex terrain
Using kilometric-resolution meteorological forecasts and satellite-derived incoming radiations for snowpack modelling in complex terrain Louis Quéno, Vincent Vionnet, Fatima Karbou, Ingrid Dombrowski-Etchevers,
More informationImpact of IASI assimilation in convective scale model AROME
Impact of IASI assimilation in convective scale model AROME Vincent GUIDARD Pierre BROUSSEAU, Nadia FOURRIE, Florence RABIER Météo-France and CNRS / CNRM-GAME 2 Overview 1. What is AROME? 2. IASI in next
More informationImpact of observations in the Southern Polar Area during the Concordiasi field experiment
Impact of observations in the Southern Polar Area during the Concordiasi field experiment F. Rabier, N. Saint-Ramond, V. Guidard, A. Doerenbecher, A. Vincensini Météo-France and CNRS C. Cardinali ECMWF
More informationProceedings, International Snow Science Workshop, Banff, 2014
SIMULATION OF THE ALPINE SNOWPACK USING METEOROLOGICAL FIELDS FROM A NON- HYDROSTATIC WEATHER FORECAST MODEL V. Vionnet 1, I. Etchevers 1, L. Auger 2, A. Colomb 3, L. Pfitzner 3, M. Lafaysse 1 and S. Morin
More informationDATA ASSIMILATION OF VIS / NIR REFLECTANCE INTO THE DETAILED SNOWPACK MODEL SURFEX/ISBA- CROCUS
DATA ASSIMILATION OF VIS / NIR REFLECTANCE INTO THE DETAILED SNOWPACK MODEL SURFEX/ISBA- CROCUS Luc CHARROIS 1,2 PhD 2013 / 2016 E. Cosme 2, M. Dumont 1, M. Lafaysse 1, S. Morin 1, Q. Libois 2, G. Picard
More informationCliquez pour modifier le style des sous-titres du masque
Techniques for modelling land, snow and sea ice emission and scattering in support of data assimilation Fatima Karbou CNRM-GAME, Cliquez pour modifier le stylemétéo-france du titre & CNRS Saint Martin
More informationMeteo-France operational land surface analysis for NWP: current status and perspectives
Meteo-France operational land surface analysis for NWP: current status and perspectives Camille Birman, Jean-François Mahfouf, Yann Seity, Eric Bazile, Françoise Taillefer, Zied Sassi, Nadia Fourrié, Vincent
More informationRecent evolution of the snow surface in East Antarctica
Nicolas Champollion International Space Science Institute (ISSI) Recent evolution of the snow surface in East Antarctica Teaching Unit (UE) SCI 121 Nicolas CHAMPOLLION nchampollion@gmail.com The 10 April
More informationBenchmarking Polar WRF in the Antarctic *
Benchmarking Polar WRF in the Antarctic * David H. Bromwich 1,2, Elad Shilo 1,3, and Keith M. Hines 1 1 Polar Meteorology Group, Byrd Polar Research Center The Ohio State University, Columbus, Ohio, USA
More informationLand Surface: Snow Emanuel Dutra
Land Surface: Snow Emanuel Dutra emanuel.dutra@ecmwf.int Slide 1 Parameterizations training course 2015, Land-surface: Snow ECMWF Outline Snow in the climate system, an overview: Observations; Modeling;
More informationValidation of 2-meters temperature forecast at cold observed conditions by different NWP models
Validation of 2-meters temperature forecast at cold observed conditions by different NWP models Evgeny Atlaskin Finnish Meteorological Institute / Russian State Hydrometeorological University OUTLINE Background
More informationWater vapour above Switzerland over the last 12 years
Water vapour above Switzerland over the last 12 years June Morland*, Martine Collaud**, Klemens Hocke*, Pierre Jeannet**, Christian Mätzler* *Institute of Applied Physics, University of Bern **MeteoSwiss
More informationLatest developments and performances in ARPEGE and ALADIN-France
Latest developments and performances in ARPEGE and ALADIN-France François Bouyssel ( and many contributors ) CNRM-GAME, Météo-France 18th ALADIN / HIRLAM Workshop, Bruxelles, 7-10 April 2008 Plan Recent
More informationResearch on Fog and Low Clouds at Météo-France / CNRM
Research on Fog and Low Clouds at Météo-France / CNRM 1) Improved site-specific numerical prediction COBEL-ISBA 1D numerical model CdG field experiment Operational forecast at Paris CdG international airport
More information1. Current atmospheric DA systems 2. Coupling surface/atmospheric DA 3. Trends & ideas
1 Current issues in atmospheric data assimilation and its relationship with surfaces François Bouttier GAME/CNRM Météo-France 2nd workshop on remote sensing and modeling of surface properties, Toulouse,
More informationCouplage Neige-Atmosphere dans le mode le du CEPMMT: Enseignements de CONCORDIASI et GABLS4
Couplage Neige-Atmosphere dans le mode le du CEPMMT: Enseignements de CONCORDIASI et GABLS4 presentée à Toulouse (MF/CIC), le 5 Juin 2015 par Gianpaolo Balsamo en collaboration avec Florence Rabier, Irina
More informationWhat s new for ARPEGE/ALADIN since Utrecht 2009?
What s new for ARPEGE/ALADIN since Utrecht 2009? E. Bazile with contributions from GMAP/OBS and GMAP/PROC ASM HIRLAM ALADIN 12-16 April, 2010 Krakow Outline QPF performance of ARPEGE/ALADIN with the new
More informationLand Surface Processes and Their Impact in Weather Forecasting
Land Surface Processes and Their Impact in Weather Forecasting Andrea Hahmann NCAR/RAL with thanks to P. Dirmeyer (COLA) and R. Koster (NASA/GSFC) Forecasters Conference Summer 2005 Andrea Hahmann ATEC
More informationAssimilation of IASI reconstructed radiances from Principal Components in AROME model
Assimilation of IASI reconstructed radiances from Principal Components in AROME model J. Andrey, V. Guidard, N. Fourrie and J.-F. Mahfouf CNRM-GAME (Météo-France and CNRS) October 3 th, 215 Outline 1 Background
More informationJordan G. Powers Kevin W. Manning. Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder, CO
Jordan G. Powers Kevin W. Manning Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder, CO Background : Model for Prediction Across Scales Global atmospheric
More informationREVISION OF THE STATEMENT OF GUIDANCE FOR GLOBAL NUMERICAL WEATHER PREDICTION. (Submitted by Dr. J. Eyre)
WORLD METEOROLOGICAL ORGANIZATION Distr.: RESTRICTED CBS/OPAG-IOS (ODRRGOS-5)/Doc.5, Add.5 (11.VI.2002) COMMISSION FOR BASIC SYSTEMS OPEN PROGRAMME AREA GROUP ON INTEGRATED OBSERVING SYSTEMS ITEM: 4 EXPERT
More informationComparing different MODIS snow products with distributed simulation of the snowpack in the French Alps
Comparing different MODIS snow products with distributed simulation of the snowpack in the French Alps Luc Charrois 1, Marie Dumont 1,*, Pascal Sirguey 2, Samuel Morin 1, Matthieu Lafaysse 1 and Fatima
More informationAssimilation of Cloud-Affected Infrared Radiances at Environment-Canada
Assimilation of Cloud-Affected Infrared Radiances at Environment-Canada ECMWF-JCSDA Workshop on Assimilating Satellite Observations of Clouds and Precipitation into NWP models ECMWF, Reading (UK) Sylvain
More informationObservational Needs for Polar Atmospheric Science
Observational Needs for Polar Atmospheric Science John J. Cassano University of Colorado with contributions from: Ed Eloranta, Matthew Lazzara, Julien Nicolas, Ola Persson, Matthew Shupe, and Von Walden
More informationP1.34 MULTISEASONALVALIDATION OF GOES-BASED INSOLATION ESTIMATES. Jason A. Otkin*, Martha C. Anderson*, and John R. Mecikalski #
P1.34 MULTISEASONALVALIDATION OF GOES-BASED INSOLATION ESTIMATES Jason A. Otkin*, Martha C. Anderson*, and John R. Mecikalski # *Cooperative Institute for Meteorological Satellite Studies, University of
More informationIMPACT OF IASI DATA ON FORECASTING POLAR LOWS
IMPACT OF IASI DATA ON FORECASTING POLAR LOWS Roger Randriamampianina rwegian Meteorological Institute, Pb. 43 Blindern, N-0313 Oslo, rway rogerr@met.no Abstract The rwegian THORPEX-IPY aims to significantly
More informationModel performance and data impact over polar regions
Model performance and data impact over polar regions F. Rabier, N. Saint-Ramond, F. Karbou, A. Vincensini, S. Guedj, V. Guidard, N. Fourrié, A. Doerenbecher Météo-France C. Cardinali, J.-N. Thépaut, P.
More informationDirect assimilation of all-sky microwave radiances at ECMWF
Direct assimilation of all-sky microwave radiances at ECMWF Peter Bauer, Alan Geer, Philippe Lopez, Deborah Salmond European Centre for Medium-Range Weather Forecasts Reading, Berkshire, UK Slide 1 17
More informationAssimilation of hyperspectral infrared sounder radiances in the French global numerical weather prediction ARPEGE model
Assimilation of hyperspectral infrared sounder radiances in the French global numerical weather prediction ARPEGE model N. Fourrié, V. Guidard, M. Dahoui, T. Pangaud, P. Poli and F. Rabier CNRM-GAME, Météo-France
More informationEvaluating Parametrizations using CEOP
Evaluating Parametrizations using CEOP Paul Earnshaw and Sean Milton Met Office, UK Crown copyright 2005 Page 1 Overview Production and use of CEOP data Results SGP Seasonal & Diurnal cycles Other extratopical
More informationForecasting and modelling ice layer formation on the snowpack due to freezing precipitation in the Pyrenees
Forecasting and modelling ice layer formation on the snowpack due to freezing precipitation in the Pyrenees L. Quéno 1, V. Vionnet 1, F. Cabot 2, D. Vrécourt 2, I. Dombrowski-Etchevers 3 1 Météo-France
More informationJordan G. Powers Kevin W. Manning. Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder, Colorado, USA
Jordan G. Powers Kevin W. Manning Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder, Colorado, USA Background : Model for Prediction Across Scales = Global
More informationArctic System Reanalysis Provides Highresolution Accuracy for Arctic Studies
Arctic System Reanalysis Provides Highresolution Accuracy for Arctic Studies David H. Bromwich, Aaron Wilson, Lesheng Bai, Zhiquan Liu POLAR2018 Davos, Switzerland Arctic System Reanalysis Regional reanalysis
More informationThe potential impact of ozone sensitive data from MTG-IRS
The potential impact of ozone sensitive data from MTG-IRS R. Dragani, C. Lupu, C. Peubey, and T. McNally ECMWF rossana.dragani@ecmwf.int ECMWF May 24, 2017 The MTG IRS Long-Wave InfraRed band O 3 Can the
More informationSensitivity Tests of the Surface Characteristics in the GABLS4 Experiment
Sensitivity Tests of the Surface Characteristics in the GABLS4 Experiment P. Le Moigne, Eric Bazile, Fleur Couvreux, Guylaine Canut, William Maurel Météo-France / CNRM. GABLS4 LSM intercomparison 2. Sensitivity
More informationExtending the use of surface-sensitive microwave channels in the ECMWF system
Extending the use of surface-sensitive microwave channels in the ECMWF system Enza Di Tomaso and Niels Bormann European Centre for Medium-range Weather Forecasts Shinfield Park, Reading, RG2 9AX, United
More informationThe importance of long-term Arctic weather station data for setting the research stage for climate change studies
The importance of long-term Arctic weather station data for setting the research stage for climate change studies Taneil Uttal NOAA/Earth Systems Research Laboratory Boulder, Colorado Things to get out
More informationRemote sensing with FAAM to evaluate model performance
Remote sensing with FAAM to evaluate model performance YOPP-UK Workshop Chawn Harlow, Exeter 10 November 2015 Contents This presentation covers the following areas Introduce myself Focus of radiation research
More informationHow can flux-tower nets improve weather forecast and climate models?
How can flux-tower nets improve weather forecast and climate models? Alan K. Betts Atmospheric Research, Pittsford, VT akbetts@aol.com Co-investigators BERMS Data: Alan Barr, Andy Black, Harry McCaughey
More informationEvolution of the ARPEGE physics. E. Bazile, Y. Bouteloup, F. Bouyssel, J.M. Piriou & Y. Seity
Evolution of the ARPEGE physics E. Bazile, Y. Bouteloup, F. Bouyssel, J.M. Piriou & Y. Seity Marrakech, 7-11 may 2012 Outline Constraints : new computer Shallow convection PCMT Turbulence : Stable case
More informationRecent progress in convective scale Arome NWP system and on-going research activities
Recent progress in convective scale Arome NWP system and on-going research activities P. Brousseau, P. Chambon, G. Faure, R. Honnert, A. Mary, N. Merlet, Y. Seity, B. Vié, E. Wattrelot (presented by F.
More informationImproved assimilation of IASI land surface temperature data over continents in the convective scale AROME France model
Improved assimilation of IASI land surface temperature data over continents in the convective scale AROME France model Niama Boukachaba, Vincent Guidard, Nadia Fourrié CNRM-GAME, Météo-France and CNRS,
More informationModeling microwave emission in Antarctica. influence of the snow grain size
Modeling microwave emission at 9 and 37 GHz in Antarctica : influence of the snow grain size Ludovic Brucker, Ghislain Picard and Michel Fily Laboratoire de Glaciologie et Géophysique de l Environnement
More informationEvaluation of sub-kilometric numerical simulations of C-band radar backscatter over the french Alps against Sentinel-1 observations
Evaluation of sub-kilometric numerical simulations of C-band radar backscatter over the french Alps against Sentinel-1 observations Gaëlle Veyssière, Fatima Karbou, Samuel Morin, Matthieu Lafaysse Monterey,
More informationAssimilation of the IASI data in the HARMONIE data assimilation system
Assimilation of the IASI data in the HARMONIE data assimilation system Roger Randriamampianina Acknowledgement: Andrea Storto (met.no), Andrew Collard (ECMWF), Fiona Hilton (MetOffice) and Vincent Guidard
More informationA SATELLITE LAND DATA ASSIMILATION SYTEM COUPLED WITH A MESOSCALE MODEL: TOWARDS IMPROVING NUMERICAL WEATHER PREDICTION
A SATELLITE LAND DATA ASSIMILATION SYTEM COUPLED WITH A MESOSCALE MODEL: TOWARDS IMPROVING NUMERICAL WEATHER PREDICTION Mohamed Rasmy*, Toshio Koike*, Souhail Bousseta**, Xin Li*** Dept. of Civil Engineering,
More informationData impact studies in the global NWP model at Meteo-France
Data impact studies in the global NWP model at Meteo-France Patrick Moll, Fatima Karbou, Claudia Faccani, Nathalie Saint- Ramond, Florence Rabier Centre National de Recherches Météorologiques CNRS/GAME,
More informationM. Mielke et al. C5816
Atmos. Chem. Phys. Discuss., 14, C5816 C5827, 2014 www.atmos-chem-phys-discuss.net/14/c5816/2014/ Author(s) 2014. This work is distributed under the Creative Commons Attribute 3.0 License. Atmospheric
More informationEvaluation of a New Land Surface Model for JMA-GSM
Evaluation of a New Land Surface Model for JMA-GSM using CEOP EOP-3 reference site dataset Masayuki Hirai Takuya Sakashita Takayuki Matsumura (Numerical Prediction Division, Japan Meteorological Agency)
More informationSnow and glacier change modelling in the French Alps
International Network for Alpine Research Catchment Hydrology Inaugural Workshop Barrier Lake Field Station, Kananaskis Country, Alberta, Canada 22-24 October 2015 Snow and glacier change modelling in
More informationThe Arctic Energy Budget
The Arctic Energy Budget The global heat engine [courtesy Kevin Trenberth, NCAR]. Differential solar heating between low and high latitudes gives rise to a circulation of the atmosphere and ocean that
More informationSENSITIVITY OF THE SURFEX LAND SURFACE MODEL TO FORCING SETTINGS IN URBAN CLIMATE MODELLING
SENSITIVITY OF THE SURFEX LAND SURFACE MODEL TO FORCING SETTINGS IN URBAN CLIMATE MODELLING Gabriella Zsebeházi PhD supervisor: Gabriella Szépszó Regional Climate Modelling Group, Hungarian Meteorological
More informationInvestigating the urban climate characteristics of two Hungarian cities with SURFEX/TEB land surface model
Investigating the urban climate characteristics of two Hungarian cities with SURFEX/TEB land surface model Gabriella Zsebeházi Gabriella Zsebeházi and Gabriella Szépszó Hungarian Meteorological Service,
More informationUse of the models Safran-Crocus-Mepra in operational avalanche forecasting
Use of the models Safran-Crocus-Mepra in operational avalanche forecasting Coléou C *, Giraud G, Danielou Y, Dumas J-L, Gendre C, Pougatch E CEN, Météo France, Grenoble, France. ABSTRACT: Avalanche forecast
More informationSEA ICE MICROWAVE EMISSION MODELLING APPLICATIONS
SEA ICE MICROWAVE EMISSION MODELLING APPLICATIONS R. T. Tonboe, S. Andersen, R. S. Gill Danish Meteorological Institute, Lyngbyvej 100, DK-2100 Copenhagen Ø, Denmark Tel.:+45 39 15 73 49, e-mail: rtt@dmi.dk
More informationThe Impact of Observational data on Numerical Weather Prediction. Hirokatsu Onoda Numerical Prediction Division, JMA
The Impact of Observational data on Numerical Weather Prediction Hirokatsu Onoda Numerical Prediction Division, JMA Outline Data Analysis system of JMA in Global Spectral Model (GSM) and Meso-Scale Model
More informationMasahiro Kazumori, Takashi Kadowaki Numerical Prediction Division Japan Meteorological Agency
Development of an all-sky assimilation of microwave imager and sounder radiances for the Japan Meteorological Agency global numerical weather prediction system Masahiro Kazumori, Takashi Kadowaki Numerical
More informationUnderstanding the ECMWF winter surface temperature biases over Antarctica
762 Understanding the ECMWF winter surface temperature biases over Antarctica Emanuel Dutra, Irina Sandu, Gianpaolo Balsamo, Anton Beljaars, Helene Freville (1), Etienne Vignon (2,3), and Eric Brun (1)
More informationAtmospheric Boundary Layer over Land, Ocean, and Ice. Xubin Zeng, Michael Brunke, Josh Welty, Patrick Broxton University of Arizona
Atmospheric Boundary Layer over Land, Ocean, and Ice Xubin Zeng, Michael Brunke, Josh Welty, Patrick Broxton University of Arizona xubin@email.arizona.edu 24 October 2017 Future of ABL Observations Workshop
More informationDevelopment and Validation of Polar WRF
Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio Development and Validation of Polar WRF David H. Bromwich 1,2, Keith M. Hines 1, and Le-Sheng Bai 1 1 Polar
More informationSatellite Observations of Greenhouse Gases
Satellite Observations of Greenhouse Gases Richard Engelen European Centre for Medium-Range Weather Forecasts Outline Introduction Data assimilation vs. retrievals 4D-Var data assimilation Observations
More informationInfluence of IASI Data on the forecast of ET events. Doris Anwender, Nadia Fourrie, Florence Rabier, Philippe Arbogast
Influence of IASI Data on the forecast of ET events Doris Anwender, Nadia Fourrie, Florence Rabier, Philippe Arbogast Overview Arpege The experiments Nord2 Global results Results for ET Error reduction
More informationTowards a better use of AMSU over land at ECMWF
Towards a better use of AMSU over land at ECMWF Blazej Krzeminski 1), Niels Bormann 1), Fatima Karbou 2) and Peter Bauer 1) 1) European Centre for Medium-range Weather Forecasts (ECMWF), Shinfield Park,
More informationRadiative Climatology of the North Slope of Alaska and the Adjacent Arctic Ocean
Radiative Climatology of the North Slope of Alaska and the Adjacent Arctic Ocean C. Marty, R. Storvold, and X. Xiong Geophysical Institute University of Alaska Fairbanks, Alaska K. H. Stamnes Stevens Institute
More informationContinuous spectral albedo measurements in Antarctica and in the Alps: instrument design, data post-processing and accuracy
Continuous spectral albedo measurements in Antarctica and in the Alps: instrument design, data post-processing and accuracy G. Picard1, L. Arnaud1, Q. Libois1, M. Dumont2 UGA / CNRS, Laboratoire de Glaciologie
More informationData assimilation of IASI radiances over land.
Data assimilation of IASI radiances over land. PhD supervised by Nadia Fourrié, Florence Rabier and Vincent Guidard. 18th International TOVS Study Conference 21-27 March 2012, Toulouse Contents 1. IASI
More informationMemorandum. Höfundur: Halldór Björnsson, Nikolai Nawri, Guðrún Elín Jóhannsdóttir and Davíð Egilson.
EBV-007-1 Memorandum Date: 17.12.2015 Title: Estimation of evaporation and precipitation in Iceland Höfundur: Halldór Björnsson, Nikolai Nawri, Guðrún Elín Jóhannsdóttir and Davíð Egilson. Ref: 2015-69
More informationTowards the Fourth GEWEX Atmospheric Boundary Layer Model Inter-Comparison Study (GABLS4)
Towards the Fourth GEWEX Atmospheric Boundary Layer Model Inter-Comparison Study (GABLS4) Timo Vihma 1, Tiina Nygård 1, Albert A.M. Holtslag 2, Laura Rontu 1, Phil Anderson 3, Klara Finkele 4, and Gunilla
More informationCoupling of Diurnal Climate to Clouds, Land-use and Snow
Coupling of Diurnal Climate to Clouds, Land-use and Snow Alan K. Betts akbetts@aol.com http://alanbetts.com Co-authors: Ray Desjardins, Devon Worth, Darrel Cerkowniak Agriculture and Agri-Food Canada Shusen
More informationGABLS4 Results from NCEP Single Column Model
GABLS4 Results from NCEP Single Column Model Weizhong Zheng 1,2, Michael Ek 1,Ruiyu Sun 1,2 and Jongil Han 1,2 1 NOAA/NCEP/Environmental Modeling Center(EMC), USA 2 IMSG@NOAA/NCEP/EMC, USA Email: Weizhong.Zheng@noaa.gov
More informationTowards the assimilation of AIRS cloudy radiances
Towards the assimilation of AIRS cloudy radiances N. FOURRIÉ 1, M. DAHOUI 1 * and F. RABIER 1 1 : National Center for Meteorological Research (CNRM, METEO FRANCE and CNRS) Numerical Weather Prediction
More informationExtreme Weather and Climate Change: the big picture Alan K. Betts Atmospheric Research Pittsford, VT NESC, Saratoga, NY
Extreme Weather and Climate Change: the big picture Alan K. Betts Atmospheric Research Pittsford, VT http://alanbetts.com NESC, Saratoga, NY March 10, 2018 Increases in Extreme Weather Last decade: lack
More informationChihoko Yamashita 1,2, Han-Li Liu 1
1 1 Gravity Waves and the High-Resolution Modeling (Using ECMWF-T799) Chihoko Yamashita 1,2, Han-Li Liu 1 1. NCAR/HAO 2. University of Colorado at Boulder AWMG/WAWG Workshop 2012-02-01 Motivations Gravity
More informationWeather Forecasting Models in Met Éireann. Eoin Whelan UCD Seminar 3 rd April 2012
Weather Forecasting Models in Met Éireann Eoin Whelan UCD Seminar 3 rd April 2012 Overview Background HIRLAM Models Local Implementation Verification Development work Background Met Éireann Dept of the
More informationA R C T E X Results of the Arctic Turbulence Experiments Long-term Monitoring of Heat Fluxes at a high Arctic Permafrost Site in Svalbard
A R C T E X Results of the Arctic Turbulence Experiments www.arctex.uni-bayreuth.de Long-term Monitoring of Heat Fluxes at a high Arctic Permafrost Site in Svalbard 1 A R C T E X Results of the Arctic
More informationTowards the use of SAR observations from Sentinel-1 to study snowpack properties in Alpine regions
Towards the use of SAR observations from Sentinel-1 to study snowpack properties in Alpine regions Gaëlle Veyssière, Fatima Karbou, Samuel Morin et Vincent Vionnet CNRM-GAME /Centre d Etude de la Neige
More informationComparing the SEKF with the DEnKF on a land surface model
Comparing the SEKF with the DEnKF on a land surface model David Fairbairn, Alina Barbu, Emiliano Gelati, Jean-Francois Mahfouf and Jean-Christophe Caret CNRM - Meteo France Partly funded by European Union
More informationThe assimilation of AMSU and SSM/I brightness temperatures in clear skies at the Meteorological Service of Canada
The assimilation of AMSU and SSM/I brightness temperatures in clear skies at the Meteorological Service of Canada Abstract David Anselmo and Godelieve Deblonde Meteorological Service of Canada, Dorval,
More informationTowards a 3D prediction of fogs on airports with Météo-France operational forecast model AROME
Towards a 3D prediction of fogs on airports with Météo-France operational forecast model AROME Alain Dabas T. Bergot, C. Lac, F. Burnet, P. Martinet, Y. Bouteloup, F. Bouyssel Météo-France, CNRM Overview
More informationNew developments for the use of microphysical variables for the assimilation of IASI radiances in convective scale models
New developments for the use of microphysical variables for the assimilation of IASI radiances in convective scale models Pauline Martinet a, Nadia Fourrié a, Florence Rabier a, Lydie Lavanant b, Antonia
More informationCoupling Climate to Clouds, Precipitation and Snow
Coupling Climate to Clouds, Precipitation and Snow Alan K. Betts akbetts@aol.com http://alanbetts.com Co-authors: Ray Desjardins, Devon Worth Agriculture and Agri-Food Canada Shusen Wang and Junhua Li
More informationUse of ATOVS raw radiances in the operational assimilation system at Météo-France
Use of ATOVS raw radiances in the operational assimilation system at Météo-France Élisabeth Gérard, Florence Rabier, Delphine Lacroix Météo-France, Toulouse, France Zahra Sahlaoui Maroc-Météo, Casablanca,
More informationAll-sky assimilation of MHS and HIRS sounder radiances
All-sky assimilation of MHS and HIRS sounder radiances Alan Geer 1, Fabrizio Baordo 2, Niels Bormann 1, Stephen English 1 1 ECMWF 2 Now at Bureau of Meteorology, Australia All-sky assimilation at ECMWF
More informationImproved rainfall and cloud-radiation interaction with Betts-Miller-Janjic cumulus scheme in the tropics
Improved rainfall and cloud-radiation interaction with Betts-Miller-Janjic cumulus scheme in the tropics Tieh-Yong KOH 1 and Ricardo M. FONSECA 2 1 Singapore University of Social Sciences, Singapore 2
More informationCharacterization of the solar irradiation field for the Trentino region in the Alps
Characterization of the solar irradiation field for the Trentino region in the Alps L. Laiti*, L. Giovannini and D. Zardi Atmospheric Physics Group University of Trento - Italy outline of the talk Introduction
More informationSimulations of Lake Processes within a Regional Climate Model
Simulations of Lake Processes within a Regional Climate Model Jiming Jin Departments of Watershed Sciences and Plants, Soils, and Climate Utah State University, Logan, Utah Utah State University 850 Faculty
More informationNear-surface weather prediction and surface data assimilation: challenges, development, and potential data needs
Near-surface weather prediction and surface data assimilation: challenges, development, and potential data needs Zhaoxia Pu Department of Atmospheric Sciences University of Utah, Salt Lake City, Utah,
More informationThe Coupled Earth Reanalysis system [CERA]
The Coupled Earth Reanalysis system [CERA] Patrick Laloyaux Acknowledgments: Eric de Boisséson, Magdalena Balmaseda, Dick Dee, Peter Janssen, Kristian Mogensen, Jean-Noël Thépaut and Reanalysis Section
More informationRe-analysis activities at SMHI
Re-analysis activities at SMHI by: Anna Jansson and Per Kållberg Contents Variational data assimilation at SMHI Operational MESAN Applications of MESAN MESAN used for a long time period Variational data
More informationSpatial and inter-channel observation error characteristics for AMSU-A and IASI and applications in the ECMWF system
Spatial and inter-channel observation error characteristics for AMSU-A and IASI and applications in the system Niels Bormann, Andrew Collard, Peter Bauer Outline 1) Estimation of observation errors AMSU-A
More informationThe JRA-55 Reanalysis: quality control and reprocessing of observational data
The JRA-55 Reanalysis: quality control and reprocessing of observational data Kazutoshi Onogi On behalf of JRA group Japan Meteorological Agency 29 October 2014 EASCOF 1 1. Introduction 1. Introduction
More informationAssimilation of precipitation-related observations into global NWP models
Assimilation of precipitation-related observations into global NWP models Alan Geer, Katrin Lonitz, Philippe Lopez, Fabrizio Baordo, Niels Bormann, Peter Lean, Stephen English Slide 1 H-SAF workshop 4
More information5. General Circulation Models
5. General Circulation Models I. 3-D Climate Models (General Circulation Models) To include the full three-dimensional aspect of climate, including the calculation of the dynamical transports, requires
More informationThe satellite winds in the operational NWP system at Météo-France
The satellite winds in the operational NWP system at Météo-France Christophe Payan CNRM UMR 3589, Météo-France/CNRS 13th International Winds Workshop, Monterey, USA, 27 June 1st July 2016 Outline Operational
More information