RED IBÉRICA MM5 4 th Meeting, Aveiro 26 th -27 th April, 2007 Wind field evaluation of the MM5 over the Strait of Gibraltar 20 th -23 rd August, 2004 E.

Slides:

Advertisements

Similar presentations

The Operational Marine Climate Monitoring and Forecasting System of Puertos del Estado (PE) Área de Conocimiento y Análisis del Medio Físico Puertos del.

Advertisements

Introduction to data assimilation in meteorology Pierre Brousseau, Ludovic Auger ATMO 08,Alghero, september 2008.

The local response to the NAO in a RegCM 30-year run Roxana Bojariu and Liliana Velea National Institute of Meteorology Bucharest, Romania

Assimilation of Sea Surface Temperature into a Northwest Pacific Ocean Model using an Ensemble Kalman Filter B.-J. Choi Kunsan National University, Korea.

Dynamical Downscaling of surface wind circulations in the Northeast of the Iberian Peninsula Pedro A. Jiménez (UCM-CIEMAT) J. Fidel González-Rouco (UCM)

An Intercomparison of Surface Observations and High-Resolution Forecasting Model Output for the Lake Okeechobee Region By Kathryn Shontz July 19, 2006.

1 Evaluation of two global HYCOM 1/12º hindcasts in the Mediterranean Sea Cedric Sommen 1 In collaboration with Alexandra Bozec 2 and Eric Chassignet 2.

C ontacts: Marit Helene Jensen, Norwegian Meteorological Institute, P.O.Box 43 Blindern, N-0313 OSLO, NORWAY. HIRLAM at met.no.

Scientific Management of Mediterranean coastal zone: an Ocean Forecasting System for Oil Spill and Search and Rescue Operations Jordi, A. 1, M. I. Ferrer.

S4D WorkshopParis, France Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio A High-Resolution David H. Bromwich.

Coastal front formation at the Llobregat delta. Preliminary study David Pino 1,2 & Jordi Mazón 1 1 Applied Physics Department (UPC) 2 Institut d’Estudis.

WCRP Metrics/Methodologies for Extremes September 2010 Based in part on … Some Scale Considerations for Predicting/Projecting Extreme Precipitation William.

Verification of Numerical Weather Prediction systems employed by the Australian Bureau of Meteorology over East Antarctica during the summer season.

Atmospheric Modeling at RENCI Brian J. Etherton. Atmospheric Modeling at RENCI Focus of RENCI for C- STAR project is to provide modeling support/development.

4 th COPS Workshop, Hohenheim, 25 – 26 September 2006 Modeling and assimilation efforts at IPM in preparation of COPS Hans-Stefan Bauer, Matthias Grzeschik,

Francesca Marcucci, Lucio Torrisi with the contribution of Valeria Montesarchio, ISMAR-CNR CNMCA, National Meteorological Center,Italy First experiments.

Why We Care or Why We Go to Sea.

Extratropical Storm-Induced Coastal Inundation: Scituate, MA Robert C. Beardsley 1, Changsheng Chen 2, Qichun Xu 2, Jianhua Qi 2, Huichan Lin 2 2 School.

Monitoring and Modelling the Spanish Coastal Waters. A new concept: The Operational PdE PORTUS System Workshop on “The status of coastal observing and.

Effects of Ocean-Atmosphere Coupling in a Modeling Study of Coastal Upwelling in the Area of Orographically-Intensified Flow Natalie Perlin, Eric Skyllingstad,

The National Environmental Agency of Georgia L. Megrelidze, N. Kutaladze, Kh. Kokosadze NWP Local Area Models’ Failure in Simulation of Eastern Invasion.

Oceanic and Atmospheric Modeling of the Big Bend Region Steven L. Morey, Dmitry S. Dukhovksoy, Donald Van Dyke, and Eric P. Chassignet Center for Ocean.

NWP Activities at INM Bartolomé Orfila Estrada Area de Modelización - INM 28th EWGLAM & 13th SRNWP Meetings Zürich, October 2005.

"Retrospective simulation and analysis of changing SE Asian high-resolution typhoon wind and wave statistics" Hans von Storch Institute for Coastal Research.

A comparison of air quality simulated by LOTO-EUROS driven by Harmonie and ECMWF using observations from Cabauw Jieying Ding, Ujjwal Kumar, Henk Eskes,

Mediterranean ocean Forecasting System: present state and future development Marina Tonani and the Operational Oceanography Group at INGV, Italy.

Verification and Case Studies for Urban Effects in HIRLAM Numerical Weather Forecasting A. Baklanov, A. Mahura, C. Petersen, N.W. Nielsen, B. Amstrup Danish.

Use of sea level observations in DMIs storm surge model Jacob L. Høyer, Weiwei Fu, Kristine S. Madsen & Lars Jonasson Center for Ocean and Ice, Danish.

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.

Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.

Meteorological Data Analysis Urban, Regional Modeling and Analysis Section Division of Air Resources New York State Department of Environmental Conservation.

Effects Of Different Model Lower Boundary Conditions In The Simulation Of An Orographic Precipitation Extreme Event J. Teixeira, A. C. Carvalho, T. Luna.

Why We Care or Why We Go to Sea.

Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:

An air quality information system for cities with complex terrain based on high resolution NWP Viel Ødegaard, r&d department.

Analysis of four decadal simulations of the Skagerrak mesoscale circulation using two ocean models Lars Petter Røed 1 and Jon Albretsen 2 Presented at.

METEOROGICAL AND CHEMICAL PREDICTION WEB BASED SYSTEM USING RAMS AND CAMx NUMERICAL MODELS By Maria Victoria Toro G. PhD Nestor Waldyd Alvarez V. E.E.

Simulation of heavy precipitation events in Madeira Island using resolution of 1 km Simulation de précipitations orographiques intenses sur Madère (résolution.

Wayne G. Leslie 13 November 2002 Harvard Ocean Prediction System (HOPS) Operational Forecasting and Adaptive Sampling.

Deguillaume L., Beekmann M., Menut L., Derognat C.

Advanced interpretation and verification of very high resolution models National Meteorological Administration Rodica Dumitrache, Aurelia LUPASCU,

Modeling the Gulf of Alaska using the ROMS three-dimensional ocean circulation model Yi Chao 1,2,3, John D. Farrara 2, Zhijin Li 1,2, Xiaochun Wang 2,

Impact of FORMOSAT-3 GPS Data Assimilation on WRF model during 2007 Mei-yu season in Taiwan Shyuan-Ru Miaw, Pay-Liam Lin Department of Atmospheric Sciences.

Southern California February 9, 2002 MISR mesoscale climate dynamics in Southern California Sebastien Conil Alex Hall IRI, April 4, 2006.

1 Impact on Ozone Prediction at a Fine Grid Resolution: An Examination of Nudging Analysis and PBL Schemes in Meteorological Model Yunhee Kim, Joshua S.

Evaluation of the Real-Time Ocean Forecast System in Florida Atlantic Coastal Waters June 3 to 8, 2007 Matthew D. Grossi Department of Marine & Environmental.

21-22 March 2005 LMD, Palaiseau, France CHIMERE workshop Air quality assessment for Portugal A. Monteiro, C. Borrego, A.I. Miranda, R. Vautard Universidade.

Numerical Simulation and Prediction of Supercell Tornadoes Ming Xue School of Meteorology and Center for Analysis and Prediction of Storms University of.

Short-Range Ensemble Prediction System at INM García-Moya, J.A., Santos, C., Escribà, P.A., Santos, D., Callado, A., Simarro, J. (NWPD, INM, SPAIN) 2nd.

Instruments. In Situ In situ instruments measure what is occurring in their immediate proximity. E.g., a thermometer or a wind vane. Remote sensing uses.

HIRLAM coupled to the ocean wave model WAM. Verification and improvements in forecast skill. Morten Ødegaard Køltzow, Øyvind Sætra and Ana Carrasco. The.

The Assessment of Typhoon Hazards at Regional-Scales in the Pacific Regions with Downscaling Numerical Experiments Tetsuya Takemi Fourth Capacity Building.

U.S. GODAE: Global Ocean Prediction with Community Effort: Community Effort: NRL, U. of Miami, FSU, NASA-GISS, NOAA/NCEP, NOAA/AOML, NOAA/PMEL, PSI, FNMOC,

PEKING UNIVERSITY Mingxin Li Previous work (a) shows the MHD (annual station averaged hail days) in China and a sharp decrease is significant.

Implementation of Terrain Resolving Capability for The Variational Doppler Radar Analysis System (VDRAS) Tai, Sheng-Lun 1, Yu-Chieng Liou 1,3, Juanzhen.

2. WRF model configuration and initial conditions  Three sets of initial and lateral boundary conditions for Katrina are used, including the output from.

Grupo de Meteorologia e Climatologia na Universidade de Aveiro Alfredo Rocha, Tiago Luna, Juan Ferreira, Ana Carvalho and João.

IC2_I Scenarios of future changes in the occurrence of extreme storm surges Nilima Natoo A. Paul, M. Schulz (University of Bremen) M.

Exploring and Validating LM Performances at Very High Resolution M. Didone, D. Lüthi, H.C Davies Institute for Atmospheric and Climate Science, ETH Zürich.

Simulation OF RADAR ECHOS WITH THE HIRLAM MODEL

A Fear-Inspiring Intercomparison of Monthly Averaged Surface Forcing

Modeling of regional-scale PCB transport at the Bayonne Peninsula

High-resolution air-sea modeling of the Philippines winter monsoon

Coupled atmosphere-ocean simulation on hurricane forecast

Modeling of regional-scale PCB transport at the Bayonne Peninsula

IMPROVING HURRICANE INTENSITY FORECASTS IN A MESOSCALE MODEL VIA MICROPHYSICAL PARAMETERIZATION METHODS By Cerese Albers & Dr. TN Krishnamurti- FSU Dept.

Coupled Atmosphere-Wave-Ocean Modeling Experiments in Hurricanes

COAMPS Coupled Ocean Atmosphere Prediction System Developed by FNMOC and NRL (1996) Operational - MEL/FNMOC Experimental - NRL-MRY 27 km Spatial.

Yunxia Zheng, Yongping Li and Runling Yu OCT,2009 in Halifax

Presentation transcript:

RED IBÉRICA MM5 4 th Meeting, Aveiro 26 th -27 th April, 2007 Wind field evaluation of the MM5 over the Strait of Gibraltar 20 th -23 rd August, 2004 E. Reyes, A. Izquierdo, O. Alvarez, C. Mejias, S. Vinogradov Applied Physics Department. Cádiz University, Spain

OUTLINES  INTRODUCTION  AIMS  MM5 IMPLEMENTATION  OPERATIONAL SYSTEM FRAMEWORK  EVALUATION METHODOLOGY  PRELIMINARY RESULTS  CONCLUDING REMARKS

INTRODUCTION The mesoescale atmospheric model MM5 is used to force a hydrodynamic model UCA2.5 (Izquierdo et al., 2001) in the Strait of Gibraltar As a prerequisite for such studies, the atmospheric model has to be implemented and validated in the Strait of Gibraltar. A major part of such a validation is the comparison of simulation results with observational data and with the results from other models, which have been independently developed. In this study 72-hour simulated wind field with the MM5 at different resolutions (30 km,10 km and 3.3 km) from the period August 2004 has been compared and evaluated with the wind direction and intensity measurements from 6 automatic meteorological stations from the Spanish Meteorological National Institute within the model domain and with simulated wind field of HIRLAM (0.2°)

AIMS Principal aim: providing atmospheric forcing to hydrodynamic models in the local scale: Strait of Gibraltar. 1.Implementation of the high resolution model MM5 in the Gulf of Cadiz - Strait of Gibraltar and Alborán Sea system 2.Creation of three domains with different resolutions (30, 10 and 3.3 km) in one way nesting 3.Evaluation of atmospheric model: it starts with the wind field from the different domains

MM5 IMPLEMENTATION N° domains123 Resolution (km) Input data resolution (km)40.9 Nesting1 way Vertical levels Time step (seconds) km10 km3.3 km RUNNING MM5

OPERATIONAL SYSTEM FRAMEWORK MM5 10 km MMINPUT_D2LOWBDY_D2BDYOUT_D2 +TERRAIN_D2 MMOUT_D2 NESTDOWN MMINPUT_D3LOWBDY_D3BDYOUT_D3 +TERRAIN_D3 MM5 3.3 km MMOUT_D3 ftp INTERPB MMOUTP_D3 Read_v3.f90MM5toGrAds +LOWBDY_D2 +TERRAIN_D3

EVALUATION METHODOLOGY CEUTA TARIFA VEJER S. FERNANDO CÁDIZ ARENOSILLO Location of the automatic meteorological stations INM STATION NAME UTC TIMEOFFICIAL TIME ALTITUDE (m) TEMPERATURE (C) RELATIVE HUMIDITY ACCUMULATED PRECIPITATION WIND INTENSITY (km/h) WIND DIRECTION (degrees) MAX. WIND INTENSITY (km/h) PRESSURE (mb) Observed data from A.M.S. MM5 vs. OBSERVATIONS MM5 vs. HIRLAM 0.2º

DOMAIN 1 = 30 kmDOMAIN 2 = 10 km 2m TEMPERATURE (ºC) PRELIMINARY RESULTS

DOMINIO 3 = 3.3 km DOMINIO 1 = 30 km DOMINIO 2 = 10 km 2m TEMPERATURE (ºC) PRELIMINARY RESULTS

DOMAIN 1 = 30 km DOMAIN 2 = 10 km 10 m WIND SPEED (m/s) PRELIMINARY RESULTS

10 m WIND SPEED (m/s) DOMINIO 1 = 30 km DOMINIO 2 = 10 km DOMINIO 3 = 3.3 km PRELIMINARY RESULTS

DOMAIN 1 = 30 km DOMAIN 2 = 10 km SEA LEVEL PRESSURE (hPa) PRELIMINARY RESULTS

EVALUATION OF THE 10 m WIND SPEED (m/s) MM5 (30, 10 and 3.3 km) vs. OBSERVATIONS PRELIMINARY RESULTS

EVALUATION OF THE 10 m WIND SPEED 10 m (m/s) MM5 (30, 10 and 3.3 km) vs. OBSERVATIONS

PRELIMINARY RESULTS EVALUATION OF THE 10 m WIND SPEED (m/s) MM5 (30, 10 and 3.3 km) vs. OBSERVATIONS

DOMAIN 30 km MM5DOMAIN 0.2 HIRLAM (INM) EVALUATION OF THE 10 m WIND SPEED (m/s) MM5 (30 km) vs. HIRLAM (0.2 °) 20/08/ :00 PRELIMINARY RESULTS

DOMAIN 30 km MM5DOMAIN 0.2 HIRLAM (INM) EVALUATION OF THE SEA LEVEL PRESSURE (hPa) MM5 (30 km) vs. HIRLAM (0.2°) 20/08/ :00 PRELIMINARY RESULTS

EVALUATION OF THE 10m WIND SPEED (m/s) MM5 (10 km) vs. HIRLAM (0.2º) PRELIMINARY RESULTS

EVALUATION OF THE 10 m WIND SPEED (m/s) MM5 (10 km) vs. HIRLAM (0.2º) PRELIMINARY RESULTS

EVALUATION OF THE 10 m WIND SPEED (m/s) MM5 (10 km) vs. HIRLAM (0.2º) PRELIMINARY RESULTS

CONCLUDING REMARKS Wind direction field is well simulated for the MM5 model. Model may capture the magnitudes of the wind intensity changes The atmospheric simulation improves after the increase of the grid resolution in the case of the 2 m temperature, sea level pressure and 10 m wind speed. A quantitative analysis is necessary to obtain better conclusions. A web site with atmospheric and hydrodynamic forecast (72 hours prediction horizon) for the Strait of Gibraltar and Algeciras Bay has been developed.

2. Atmosphere- ocean model 2. Forcing of the atmospheric to the hydrodynamic model. forcing 1. Evaluation of all variables (Tª, pressure, wind,… ) of the atmospheric model vs. observations (from marine buoys, ships of opportunity and satellite data over the ocean) and vs. other models independently developed 3. Evaluation atmosphere- ocean model 3. Evaluation of the atmosphere-ocean model (output vs. in-situ data) 4. Study of the spatial and temporal variability of the circulation (including atmospheric forcing) in the Gulf of Cádiz –Strait of Gibraltar area. FUTURE WORK UCA2.5D (Izquierdo et al., 2001) Atmospheric regional model MM5 (3.3 km) 1.Evaluation MM5 vs. observations

MeteoGalicia group for his invaluable help, kind collaboration and boundary conditions providing. INM for the data support and A.M.S. maintaining Red Ibérica MM5 for making easier and better the work of the MM5 beginner. THANK TO

I can not change the wind direction but I can adjust the sails to come always to my destination THANK YOU VERY MUCH!!!