AROME Weather Model - A Search for the Future
|
|
|
- Diana Greer
- 5 years ago
- Views:
Transcription
1 Status of AROME news since Bratislava '05 based on contributions from CNRM GMAP & GMME teams,lab. Aérologie, aladinists 1. System & workforce 2. Model & software 3. Assimilation 4. The Future 1
2 1. Multiscale NWP in 2007/2008 AROME on small domains resolution 2.5km forecast ranges 1-24h + nowcasting coupling ALADIN/ALARO on big domains resolution close to 10km forecast ranges 6-48h + ensembles coupling ARPEGE global resolution 15km (T539) ranges up to 3 days + ensembles ECMWF's IFS resolution 25km, up to 7 days + ensembles 2
3 ARPEGE forecast quality, lately in 2006: L46, much improved radiation & clouds (see Y. Bouteloup's talk) erreurs France temps
4 No global model is always the best erreurs best: France best: ECMWF best: France temps mars 2006 avril
5 System & workforce Arome NWP-oriented modelling: mostly in GMAP team: embedding (clim files, 927, postprocessing, DDH diags, Surfex interfacing, APLXXX interface), case studies with forecasters. see talk by G. Hello & JD. Gril, T. Kovacic Arome assimilation: common with ALADIN 3DVar, plus radar work. Arome upstream R&D: mostly in GMME. Current priority on improving clouds (shallow convection, 3MT, fog) and SURFEX. see talks by S. Malardel, E. Martin, L. Kraljevic the rest of NWP in Toulouse: roughly 10% on ARPEGE/ALADIN, 10% on AROME/MésoNH, 80% on transversal activities (software, assimilation, Aladin support) - see P. Pottier's statistics and Aladin web site Aladin partners' contribution: NH cleaning, code phasing, phys/dyn interfacing. Most Aladin work is good for Arome. e.g. see talk by J. Vivoda Increasing deported testing of Arome in several Aladin & Hirlam centres (Denmark, Sweden, Finland, Norway, Hungary, Austria, Czech Rep...) see talk by L. Kullmann 5
6 Sweden : 270x288, 2.5km,?L Finlande : 384x324, 2.5km,?L Danemark : 400x384, 2.5km,?L 6
7 New Arome domains Hungary (Laszlo Kullmann) : on IBM regatta at Budapest. 7
8 2. Model work Prototype is fully included in the joint cycles (with MésoNH & SURFEX bits) and available at ECMWF (gmkpack) see talk by Ryad El Khatib One year of successful daily runs over various weather types, tests on ocean, T1 storm, snowstorms, AMMA, precipitation studies... Thematic studies on fog, ocean fluxes, wind power, shallow clouds, snowfalls, mountain weather activated use of SLHD (still tricky dyn in deep valleys) activated subgrid cloudiness activated KFB shallow convection (still needs improvement) developed flux budget diagnostics, Arome FullPOS, developed full interactive chemistry, dust & aerosols option bugfixes on soil initialization, physiographies, NH cleaning 8
9 Resolved convection in Arome ( , 15 à 18h UTC) couleurs: glace, eau nuageuse, pluie 9
10 Winter synoptic weather: ALADIN (top) vs AROME (bottom) radar mm/h 10
11 Real-time AROME forecast of isolated thunderstorm (27/6/2005) Pluies vues par les radars AROME ALADIN 11
12 Mediterranean flash flood event on 6/9/2005 prévision ALADIN observations raingauges prévision AROME observations radar 12
13 Verification: Hydrological validation 1-month precip over Austria (work done with ZAMG) Observations Prévisions ALADIN CEN SOR ED! se e t alks b E. Ba y zile & T. H a iden Prévisions AROME (prototype) 13
14 T2m validation on ALADIN (left) and AROME (right) 21 Montpellier vérité terrain Better in valleys, on mountains, in big cities 14
15 T/wind in mountain regions (Alps) Températures d'aladin Températures d'arome Genève Lyon Genève Lyon 15
16 Better wind modelling: application on forest fires, pollution events, air quality, coastal ocean modelling, air Marseille traffic safety Nice Aladin Arome Nice Marseille 16
17 New AROME product: 3D TKE with NH effects Nice Marseille Turbulence at 140m above ground z vertical cross-section Nord Sud 17
18 Validation of fog forecast by AROME Arome low cloud cover 11 nov Humidity Arome MSG satellite 11 janv ( communication Y. Seity et G. Hello, )
19 Fog sensitivity to the aerosol specification (research tests with Méso-NH & ORILAM physics) Cloud liq water Z(m) stratus countryside aerosols fog Z(m) Cloud liq water urban aerosols (communication P. Tulet)
20 Air pollution : ESCOMPTE field exp. (AROME/CHEMISTRY) NOx O3 Low-level fields : 24 June 2001 at 14 UTC (38 hours of simulation) 20 Tulet et Seity, 2006
21 3. Assimilation work ALADIN 3DVar now operational in France, Hungary, Africa, proven beneficial impact see C. Fischer hybrid Méso-NH/3DVar assimilation tests on Mediterranean convection showed good behaviour but need to improve Jb successful Arome 3DVar 2.5km hourly assimilation tests show very good impact, even with fixed obs network 3DVar diagnostic analysis, hi-res in PBL. Supersedes CANARI need to calibrate 2.5km native Jb using ensemble of Arome runs radar reflectivity work is proceeding: Bayesian inversion technique, work on data management growing Doppler radar team in Toulouse. Screening works. ground zenithal GPS assimilation works. more work planned on scripts (OLIVE interface), high-resolution use of radiances, bogus cloud data. (P. Brousseau, E. Sevault) 21
22 Conceptual model of data assimilation for convective scales Hydrométéors PBL 22
23 no assimilation observations Impact of 3DVar assimilation on ALADIN forecasts: frontal convection only works if enough hi-res obs e.g. radiances with assimilation assim with Météosat radiances see talk by C.Fischer etc. 2004/07/18 12UTC RR P12 P6 23
24 4-h extreme precip forecasts: impact of assimilation pluies du modèle Arome no assimilation vérité radar forecast with assimilation 24
25 Quikscat wind assimilation enpink: rose: observation reçues observations, received active enblack: noir:observations, obs. sélectionnées horizontal increment of wind speed blue: guess red: analysis vertical increment xsect z x 25
26 Doppler radar observation operator: radial wind component in the PBL observed ALADIN guess 26
27 4. The future (i.e. 2006/2007) computer optimization (NEC, IBM, Linux) data assimilation: used for all daily runs, compute improved Jb short-range hourly forecasts for nowcasting test of Saharian dust modelling & SURFEX advanced features increase vertical resolution for fog & low clouds even more coupling file compression even more work on radar & satellite cloud data continuing phys/dyn interface cleaning (for all new devs.) development of 3MT deep convection with ALARO (see L Gérard) improvement of Soares EDMF new shallow convection critical review of all physics schemes & more verification preparing the post-arome work: adaptive discretization, vertical slopes, 3D turbulence, interactive gridnesting, better large-scale coupling, mesoscale predictability, 4DVar/KF, toolbox of physics, merge with ALARO & HARMONIE? 27
Nowcasting: analysis and up to 6 hours forecast
Nowcasting: analysis and up to 6 hours forecast Very high resoultion in time and space Better than NWP Rapid update Application oriented NWP problems for 0 6 forecast: Incomplete physics Resolution space
Arome, avenir de la prévision régionale
Arome, avenir de la prévision régionale François Bouttier Météo-France - Centre national de recherches météorologiques (CNRM) 42, avenue Gaspard-Coriolis - 31057 Toulouse Cedex [email protected]
Status of ALADIN-LAEF, Impact of Clustering on Initial Perturbations of ALADIN-LAEF
Status of ALADIN-LAEF, Impact of Clustering on Initial Perturbations of ALADIN-LAEF Florian Weidle, Martin Bellus, Alexander Kann, Martin Steinheimer, Christoph Wittmann, Yong Wang and others Outline The
Mode-S Enhanced Surveillance derived observations from multiple Air Traffic Control Radars and the impact in hourly HIRLAM
Mode-S Enhanced Surveillance derived observations from multiple Air Traffic Control Radars and the impact in hourly HIRLAM 1 Introduction Upper air wind is one of the most important parameters to obtain
Application of Numerical Weather Prediction Models for Drought Monitoring. Gregor Gregorič Jožef Roškar Environmental Agency of Slovenia
Application of Numerical Weather Prediction Models for Drought Monitoring Gregor Gregorič Jožef Roškar Environmental Agency of Slovenia Contents 1. Introduction 2. Numerical Weather Prediction Models -
Atmospheric kinetic energy spectra from high-resolution GEM models
Atmospheric kinetic energy spectra from high-resolution GEM models Bertrand Denis NWP Section Canadian Meteorological Centre Environment Canada SRNWP 2009 Bad Orb, Germany Outline Introduction What we
Precipitation nowcasting at Finnish Meteorological Institute
Precipitation nowcasting at Finnish Meteorological Institute Jarmo Koistinen (1), Erik Gregow (1), Harri Hohti (1), Janne Kauhanen (1), Juha Kilpinen (1), Pekka Rossi (1), Mari Heinonen (2), Daniel Sempere-Torres
MOGREPS status and activities
MOGREPS status and activities by Warren Tennant with contributions from Rob Neal, Sarah Beare, Neill Bowler & Richard Swinbank Crown copyright Met Office 32 nd EWGLAM and 17 th SRNWP meetings 1 Contents
RAPIDS Operational Blending of Nowcasting and NWP QPF
RAPIDS Operational Blending of Nowcasting and NWP QPF Wai-kin Wong and Edwin ST Lai Hong Kong Observatory The Second International Symposium on Quantitative Precipitation Forecasting and Hydrology 5-8
IMPACT OF SAINT LOUIS UNIVERSITY-AMERENUE QUANTUM WEATHER PROJECT MESONET DATA ON WRF-ARW FORECASTS
IMPACT OF SAINT LOUIS UNIVERSITY-AMERENUE QUANTUM WEATHER PROJECT MESONET DATA ON WRF-ARW FORECASTS M. J. Mueller, R. W. Pasken, W. Dannevik, T. P. Eichler Saint Louis University Department of Earth and
Estimation of satellite observations bias correction for limited area model
Estimation of satellite observations bias correction for limited area model Roger Randriamampianina Hungarian Meteorological Service, Budapest, Hungary [email protected] Abstract Assimilation of satellite radiances
Verification of cloud simulation in HARMONIE AROME
METCOOP MEMO No. 01, 2013 Verification of cloud simulation in HARMONIE AROME A closer look at cloud cover, cloud base and fog in AROME Karl-Ivar Ivarsson, Morten Køltzow, Solfrid Agersten Front: Low fog
ANALYSIS OF THUNDERSTORM CLIMATOLOGY AND CONVECTIVE SYSTEMS, PERIODS WITH LARGE PRECIPITATION IN HUNGARY. Theses of the PhD dissertation
ANALYSIS OF THUNDERSTORM CLIMATOLOGY AND CONVECTIVE SYSTEMS, PERIODS WITH LARGE PRECIPITATION IN HUNGARY Theses of the PhD dissertation ANDRÁS TAMÁS SERES EÖTVÖS LORÁND UNIVERSITY FACULTY OF SCIENCE PhD
Towards assimilating IASI satellite observations over cold surfaces - the cloud detection aspect
Towards assimilating IASI satellite observations over cold surfaces - the cloud detection aspect Tuuli Perttula, FMI + Thanks to: Nadia Fourrié, Lydie Lavanant, Florence Rabier and Vincent Guidard, Météo
Meteorological Forecasting of DNI, clouds and aerosols
Meteorological Forecasting of DNI, clouds and aerosols DNICast 1st End-User Workshop, Madrid, 2014-05-07 Heiner Körnich (SMHI), Jan Remund (Meteotest), Marion Schroedter-Homscheidt (DLR) Overview What
Overview of the IR channels and their applications
Ján Kaňák Slovak Hydrometeorological Institute [email protected] Overview of the IR channels and their applications EUMeTrain, 14 June 2011 Ján Kaňák, SHMÚ 1 Basics in satellite Infrared image interpretation
1D shallow convective case studies and comparisons with LES
1D shallow convective case studies and comparisons with CNRM/GMME/Méso-NH 24 novembre 2005 1 / 17 Contents 1 5h-6h time average vertical profils 2 2 / 17 Case description 5h-6h time average vertical profils
Large Eddy Simulation (LES) & Cloud Resolving Model (CRM) Françoise Guichard and Fleur Couvreux
Large Eddy Simulation (LES) & Cloud Resolving Model (CRM) Françoise Guichard and Fleur Couvreux Cloud-resolving modelling : perspectives Improvement of models, new ways of using them, renewed views And
EUMETSAT Satellite Programmes
EUMETSAT Satellite Programmes Nowcasting Applications Developing Countries Marianne König [email protected] WSN-12 Rio de Janeiro 06-10 August 2012 27 Member States & 4 Cooperating States Member
An economical scale-aware parameterization for representing subgrid-scale clouds and turbulence in cloud-resolving models and global models
An economical scale-aware parameterization for representing subgrid-scale clouds and turbulence in cloud-resolving models and global models Steven Krueger1 and Peter Bogenschutz2 1University of Utah, 2National
Evalua&ng Downdra/ Parameteriza&ons with High Resolu&on CRM Data
Evalua&ng Downdra/ Parameteriza&ons with High Resolu&on CRM Data Kate Thayer-Calder and Dave Randall Colorado State University October 24, 2012 NOAA's 37th Climate Diagnostics and Prediction Workshop Convective
Project Title: Quantifying Uncertainties of High-Resolution WRF Modeling on Downslope Wind Forecasts in the Las Vegas Valley
University: Florida Institute of Technology Name of University Researcher Preparing Report: Sen Chiao NWS Office: Las Vegas Name of NWS Researcher Preparing Report: Stanley Czyzyk Type of Project (Partners
WxFUSION. A. Tafferner. Folie 1. iport Meeting 13.10.2010 @ DLR OP
WxFUSION A. Tafferner iport Meeting 13.10.2010 @ DLR OP Folie 1 Upper Danube Catchment MUC DLR Andechs Munich Vienna Folie 2 Local and propagating thunderstorms in the Upper Danube Catchment B. Barternschlager,
Introduction to the forecasting world Jukka Julkunen FMI, Aviation and military WS
Boundary layer challenges for aviation forecaster Introduction to the forecasting world Jukka Julkunen FMI, Aviation and military WS 3.12.2012 Forecast for general public We can live with it - BUT Not
Sub-grid cloud parametrization issues in Met Office Unified Model
Sub-grid cloud parametrization issues in Met Office Unified Model Cyril Morcrette Workshop on Parametrization of clouds and precipitation across model resolutions, ECMWF, Reading, November 2012 Table of
Hong Kong Observatory Summer Placement Programme 2015
Annex I Hong Kong Observatory Summer Placement Programme 2015 Training Programme : An Observatory mentor with relevant expertise will supervise the students. Training Period : 8 weeks, starting from 8
Evaluating the Impact of Cloud-Aerosol- Precipitation Interaction (CAPI) Schemes on Rainfall Forecast in the NGGPS
Introduction Evaluating the Impact of Cloud-Aerosol- Precipitation Interaction (CAPI) Schemes on Rainfall Forecast in the NGGPS Zhanqing Li and Seoung-Soo Lee University of Maryland NOAA/NCEP/EMC Collaborators
SOLAR IRRADIANCE FORECASTING, BENCHMARKING of DIFFERENT TECHNIQUES and APPLICATIONS of ENERGY METEOROLOGY
SOLAR IRRADIANCE FORECASTING, BENCHMARKING of DIFFERENT TECHNIQUES and APPLICATIONS of ENERGY METEOROLOGY Wolfgang Traunmüller 1 * and Gerald Steinmaurer 2 1 BLUE SKY Wetteranalysen, 4800 Attnang-Puchheim,
Real-time Ocean Forecasting Needs at NCEP National Weather Service
Real-time Ocean Forecasting Needs at NCEP National Weather Service D.B. Rao NCEP Environmental Modeling Center December, 2005 HYCOM Annual Meeting, Miami, FL COMMERCE ENVIRONMENT STATE/LOCAL PLANNING HEALTH
Investigations on COSMO 2.8Km precipitation forecast
Investigations on COSMO 2.8Km precipitation forecast Federico Grazzini, ARPA-SIMC Emilia-Romagna Coordinator of physical aspects group of COSMO Outline Brief description of the COSMO-HR operational suites
Mesoscale re-analysis of historical meteorological data over Europe Anna Jansson and Christer Persson, SMHI ERAMESAN A first attempt at SMHI for re-analyses of temperature, precipitation and wind over
Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models Yefim L. Kogan Cooperative Institute
Fog and low cloud ceilings in the northeastern US: climatology and dedicated field study
Fog and low cloud ceilings in the northeastern US: climatology and dedicated field study Robert Tardif National Center for Atmospheric Research Research Applications Laboratory 1 Overview of project Objectives:
Assimilation of cloudy infrared satellite observations: The Met Office perspective
Assimilation of cloudy infrared satellite observations: The Met Office perspective Ed Pavelin, Met Office International Symposium on Data Assimilation 2014, Munich Contents This presentation covers the
Outline of RGB Composite Imagery
Outline of RGB Composite Imagery Data Processing Division, Data Processing Department Meteorological Satellite Center (MSC) JMA Akihiro SHIMIZU 29 September, 2014 Updated 6 July, 2015 1 Contents What s
Cloud-Resolving Simulations of Convection during DYNAMO
Cloud-Resolving Simulations of Convection during DYNAMO Matthew A. Janiga and Chidong Zhang University of Miami, RSMAS 2013 Fall ASR Workshop Outline Overview of observations. Methodology. Simulation results.
Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations
Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations S. C. Xie, R. T. Cederwall, and J. J. Yio Lawrence Livermore National Laboratory Livermore, California M. H. Zhang
Comparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model
Comparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model H. Guo, J. E. Penner, M. Herzog, and X. Liu Department of Atmospheric,
GCMs with Implicit and Explicit cloudrain processes for simulation of extreme precipitation frequency
GCMs with Implicit and Explicit cloudrain processes for simulation of extreme precipitation frequency In Sik Kang Seoul National University Young Min Yang (UH) and Wei Kuo Tao (GSFC) Content 1. Conventional
Convective Vertical Velocities in GFDL AM3, Cloud Resolving Models, and Radar Retrievals
Convective Vertical Velocities in GFDL AM3, Cloud Resolving Models, and Radar Retrievals Leo Donner and Will Cooke GFDL/NOAA, Princeton University DOE ASR Meeting, Potomac, MD, 10-13 March 2013 Motivation
All-sky assimilation of microwave imager observations sensitive to water vapour, cloud and rain
All-sky assimilation of microwave imager observations sensitive to water vapour, cloud and rain A.J. Geer, P. Bauer, P. Lopez and D. Salmond European Centre for Medium-Range Weather Forecasts, Reading,
Partnership to Improve Solar Power Forecasting
Partnership to Improve Solar Power Forecasting Venue: EUPVSEC, Paris France Presenter: Dr. Manajit Sengupta Date: October 1 st 2013 NREL is a national laboratory of the U.S. Department of Energy, Office
PE s Research activities and potential links to MM5. Red Ibérica MM5 Valencia 9th -10th June 2005
PE s Research activities and potential links to MM5 Red Ibérica MM5 Valencia 9th -10th June 2005 PE and its R&D Area Puertos del Estado (PE) is a Public Institution that deals with the administration of
REGIONAL CLIMATE AND DOWNSCALING
REGIONAL CLIMATE AND DOWNSCALING Regional Climate Modelling at the Hungarian Meteorological Service ANDRÁS HORÁNYI (horanyi( [email protected]@met.hu) Special thanks: : Gabriella Csima,, Péter Szabó, Gabriella
Microwave observations in the presence of cloud and precipitation
Microwave observations in the presence of cloud and precipitation Alan Geer Thanks to: Bill Bell, Peter Bauer, Fabrizio Baordo, Niels Bormann Slide 1 ECMWF/EUMETSAT satellite course 2015: Microwave 2 Slide
Coupling micro-scale CFD simulations to meso-scale models
Coupling micro-scale CFD simulations to meso-scale models IB Fischer CFD+engineering GmbH Fabien Farella Michael Ehlen Achim Fischer Vortex Factoria de Càlculs SL Gil Lizcano Outline Introduction O.F.Wind
What the Heck are Low-Cloud Feedbacks? Takanobu Yamaguchi Rachel R. McCrary Anna B. Harper
What the Heck are Low-Cloud Feedbacks? Takanobu Yamaguchi Rachel R. McCrary Anna B. Harper IPCC Cloud feedbacks remain the largest source of uncertainty. Roadmap 1. Low cloud primer 2. Radiation and low
Use of numerical weather forecast predictions in soil moisture modelling
Use of numerical weather forecast predictions in soil moisture modelling Ari Venäläinen Finnish Meteorological Institute Meteorological research [email protected] OBJECTIVE The weather forecast models
Cloud verification: a review of methodologies and recent developments
Cloud verification: a review of methodologies and recent developments Anna Ghelli ECMWF Slide 1 Thanks to: Maike Ahlgrimm Martin Kohler, Richard Forbes Slide 1 Outline Cloud properties Data availability
Validation n 2 of the Wind Data Generator (WDG) software performance. Comparison with measured mast data - Flat site in Northern France
Validation n 2 of the Wind Data Generator (WDG) software performance Comparison with measured mast data - Flat site in Northern France Mr. Tristan Fabre* La Compagnie du Vent, GDF-SUEZ, Montpellier, 34967,
Advances in data assimilation techniques
Advances in data assimilation techniques and their relevance to satellite data assimilation ECMWF Seminar on Use of Satellite Observations in NWP Andrew Lorenc,, 8-12 September 2014. Crown copyright Met
IBM Big Green Innovations Environmental R&D and Services
IBM Big Green Innovations Environmental R&D and Services Smart Weather Modelling Local Area Precision Forecasting for Weather-Sensitive Business Operations (e.g. Smart Grids) Lloyd A. Treinish Project
BSRN Station Sonnblick
Spawning the Atmosphere Measurements, 22-23 Jan 2014, Bern BSRN Station Sonnblick Baseline surface radiation network station Sonnblick Marc Olefs, Wolfgang Schöner ZAMG Central Institute for Meteorology
Development of an Integrated Data Product for Hawaii Climate
Development of an Integrated Data Product for Hawaii Climate Jan Hafner, Shang-Ping Xie (PI)(IPRC/SOEST U. of Hawaii) Yi-Leng Chen (Co-I) (Meteorology Dept. Univ. of Hawaii) contribution Georgette Holmes
Chapter 7 Stability and Cloud Development. Atmospheric Stability
Chapter 7 Stability and Cloud Development Atmospheric Stability 1 Cloud Development - stable environment Stable air (parcel) - vertical motion is inhibited if clouds form, they will be shallow, layered
Wind resources map of Spain at mesoscale. Methodology and validation
Wind resources map of Spain at mesoscale. Methodology and validation Martín Gastón Edurne Pascal Laura Frías Ignacio Martí Uxue Irigoyen Elena Cantero Sergio Lozano Yolanda Loureiro e-mail:[email protected]
The Beijin2008 FDP/RDP project
1 st meeting WWRP WG MWF, 10 October 2007, Dubrovnik The Beijin2008 FDP/RDP project Kazuo Saito Meteorological Research Institute/Japan Meteorological Agency ksaito@mri jma.go.jp Presentation thanks to:
Optimisation of Aeolus Sampling
Optimisation of Aeolus Sampling [email protected] 1 Gert-Jan Marseille 1, Jos de Kloe 1 Harald Schyberg 2 Linda Megner 3 Heiner Körnch 3 1 KNMI, NL 2 Met.no 3 MISU/SMHI, SE Vertical and Horizontal Aeolus
Towards an NWP-testbed
Towards an NWP-testbed Ewan O Connor and Robin Hogan University of Reading, UK Overview Cloud schemes in NWP models are basically the same as in climate models, but easier to evaluate using ARM because:
The Value That Wind Profilers Bring To Weather Forecasting. George Frederick March 2005
The Value That Wind Profilers Bring To Weather Forecasting George Frederick March 2005 What Value Do Wind Profilers Bring to Weather Forecasting? Wind profilers are an important source of meteorological
Validation of SEVIRI cloud-top height retrievals from A-Train data
Validation of SEVIRI cloud-top height retrievals from A-Train data Chu-Yong Chung, Pete N Francis, and Roger Saunders Contents Introduction MO GeoCloud AVAC-S Long-term monitoring Comparison with OCA Summary
A system of direct radiation forecasting based on numerical weather predictions, satellite image and machine learning.
A system of direct radiation forecasting based on numerical weather predictions, satellite image and machine learning. 31st Annual International Symposium on Forecasting Lourdes Ramírez Santigosa Martín
Cloud Model Verification at the Air Force Weather Agency
2d Weather Group Cloud Model Verification at the Air Force Weather Agency Matthew Sittel UCAR Visiting Scientist Air Force Weather Agency Offutt AFB, NE Template: 28 Feb 06 Overview Cloud Models Ground
Climatology and Monitoring of Dust and Sand Storms in the Arabian Peninsula
Climatology and Monitoring of Dust and Sand Storms in the Arabian Peninsula Mansour Almazroui Center of Excellence for Climate Change Research (CECCR) King Abdulaziz University, Jeddah, Saudi Arabia E-mail:
Developing sub-domain verification methods based on Geographic Information System (GIS) tools
APPROVED FOR PUBLIC RELEASE: DISTRIBUTION UNLIMITED U.S. Army Research, Development and Engineering Command Developing sub-domain verification methods based on Geographic Information System (GIS) tools
EXPERIMENTS WITH THE MESONH-AROME MICROPHYSICAL SCHEME AND EVALUATION BY REMOTE SENSING TOOLS
EXPERIMENTS WITH THE MESONH-AROME MICROPHYSICAL SCHEME AND EVALUATION BY REMOTE SENSING TOOLS Jean-Pierre Pinty( ), Jean-Pierre Chaboureau( ), Evelyne Richard( ), Frank Lascaux( ) and Yann Seity( ) ( )
Convective Clouds. Convective clouds 1
Convective clouds 1 Convective Clouds Introduction Convective clouds are formed in vertical motions that result from the instability of the atmosphere. This instability can be caused by: a. heating at
FLOODALERT: A SIMPLIFIED RADAR-BASED EWS FOR URBAN FLOOD WARNING
11 th International Conference on Hydroinformatics HIC 2014, New York City, USA FLOODALERT: A SIMPLIFIED RADAR-BASED EWS FOR URBAN FLOOD WARNING XAVIER LLORT (1), RAFAEL SÁNCHEZ-DIEZMA (1), ÁLVARO RODRÍGUEZ
A Review on the Uses of Cloud-(System-)Resolving Models
A Review on the Uses of Cloud-(System-)Resolving Models Jeffrey D. Duda Since their advent into the meteorological modeling world, cloud-(system)-resolving models (CRMs or CSRMs) have become very important
WV IMAGES. Christo Georgiev. NIMH, Bulgaria. Satellite Image Interpretation and Applications EUMeTrain Online Course, 10 30 June 2011
WV IMAGES Satellite Image Interpretation and Applications EUMeTrain Online Course, 10 30 June 2011 Christo Georgiev NIMH, Bulgaria INTRODICTION The radiometer SEVIRI of Meteosat Second Generation (MSG)
Using Cloud-Resolving Model Simulations of Deep Convection to Inform Cloud Parameterizations in Large-Scale Models
Using Cloud-Resolving Model Simulations of Deep Convection to Inform Cloud Parameterizations in Large-Scale Models S. A. Klein National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics
Flash Flood Guidance Systems
Flash Flood Guidance Systems Introduction The Flash Flood Guidance System (FFGS) was designed and developed by the Hydrologic Research Center a non-profit public benefit corporation located in of San Diego,
Clear Sky Radiance (CSR) Product from MTSAT-1R. UESAWA Daisaku* Abstract
Clear Sky Radiance (CSR) Product from MTSAT-1R UESAWA Daisaku* Abstract The Meteorological Satellite Center (MSC) has developed a Clear Sky Radiance (CSR) product from MTSAT-1R and has been disseminating
Real-time Global Flood Monitoring and Forecasting using an Enhanced Land Surface Model with Satellite and NWP model based Precipitation
Real-time Global Flood Monitoring and Forecasting using an Enhanced Land Surface Model with Satellite and NWP model based Precipitation Huan Wu,2, Robert F. Adler, 2, Yudong Tian, 2, George J. Huffman
CHUVA. by CHUVA Science Team. 4 th CHUVA Planning Meeting 13 December 2010 San Francisco, CA. Rachel I. Albrecht [email protected].
CHUVA Cloud processes of the main precipitation systems in Brazil: A contribution to cloud resolving modeling and to the GPM (GlobAl Precipitation Measurement) by CHUVA Science Team Rachel I. Albrecht
SAFNWC/MSG Cloud type/height. Application for fog/low cloud situations
SAFNWC/MSG Cloud type/height. Application for fog/low cloud situations 22 September 2011 Hervé LE GLEAU, Marcel DERRIEN Centre de météorologie Spatiale. Lannion Météo-France 1 Fog or low level clouds?
"Attività di modellistica numerica previsionale meteorologica al Servizio IdroMeteoClima di ARPA Emilia-Romagna"
"Attività di modellistica numerica previsionale meteorologica al Servizio IdroMeteoClima di ARPA Emilia-Romagna" Author: Tiziana Paccagnella Organization: ARPA SIMC 1 ARPA-SIMC Modelling Group Head of
