TSMS, Archive System, Data accessing procedures and best practices… Serhat ŞENSOY Chief of Climate & Climate Change Division Vice-President of WMO CCl 1/23 Histor y 1841 The first meteorological observations started in Istanbul 1873 Participated in the International Meteorological Congress (Vienna) 1875 First Observation Network established with 16 stations 1915 Upper air observations and weather forecasts started 1925 Establishment of Meteorological Institute 1937 Establishment of Turkish State Meteorological Service International Membership 1949 WMO 1975 ECMWF 1984 EUMETSAT 1999 ECOMET • 2000 Recognized as one of the 23 Regional Training Centre of WMO • 2008 Became member of ALADIN Consortium • • • • • • • 2/23 Main responsibilities of TSMS are: Establish and operate weather observing stations for synoptic, climatological, aviation and research purposes; Prepare and issue weather forecast reports for , short, medium and long range period; Provide data and services to public and military; Support and carry out research activities; Coordinate and improve the international relations and activities. 3/23 In-Situ Observation Network 257 Climate, 132 Synoptic, 63 Airport (50 with AWOS), 40 Marine, 8 Ravinsonde 463 AWOS installed 246 will be completed 2012 463 AWOS were Installed, 246 are installing in 2012 Road Planned HSAF DCC-Istanbul Airport AWOS AWOS(TEFER) Airport AWOS 4/23 Remote Sensing Observations C-Band Doppler Radars Satellite • Geo-stationary (MSG) • Polar (NOAA, METOP) member since 1984 Existed : Ankara, İstanbul, Zonguldak, Also short range X-band radars have been planned for 2012 Balıkesir,İzmir, Muğla, Testing: Antalya, Adana Planned: Samsun, Trabzon, 5/23 Infrastructures High Performance Computer SGI ALTIX 4700 Basic Specs Architecture NUMA CPU Intel Itanium2 Tukwilla No of processor/ speed 512 – 1.7 GHz Tape performance ~ 3.4 TFlops RAM 1 TB Operating system LINUX Fortran compiler INTEL, PGI, GNU Network Gigabit Ethernet & SAN File system CXFS High Performance Super Computer has been using since May 2010 6/23 Models MM5 Horizontal resolution: 13/4/2 km Vertical resolution: 41 level/10 mb Forecast period: 72 hours MRF ALADIN Horizontal resolution: 4 km Vertical resolution: 60 level/10 mb Forecast period: 48 hours 7/23 Weather Forecast SMS Very Short-Range Forecast (Nowcasting) (3 -6 h) and Warnings Short-Range Forecasts (12 - 24 hours) : - Publish 3 times a day (Morning, noon, evening) - Daily forecasts of precipitation, temperature and weather condition Medium-Range Forecasts (3 - 7 days) : - Updated every day - Daily forecasts of precipitation, max&min temperatures and weather condition of 81 cities Seasonal Forecast from ECMWF, Meteo-France, UK Met-Office Warning! 8/23 Products and services HIGHWAY FORECASTN G SYSTEM METU-3 SEA-WAVE PREDICTION MODEL 9/23 METCAP Softwares Meteorological Communication and Application Package It simplifies communication between different forecast centre as well as prepare charts, images and diagrams. It consists of many modules for meteorological applications 10/23 Research Projects Air Pollution and Acid Rains Laboratory WMO SEE-DRR Project Flash Flood Guidance System (FFGS) Flood Forecasting and Warning Feasibility Project Regional Climate Model Studies (RegCM3, PRECIS) Renewable energy potential studies (solar, wind) Dust Transport Model, DREAM-8 Forest Fire Early Warning Model 11/23 Agricultural meteorology Agricultural Frost Warning System Harvest time estimate 12/23 Climate & Climate Change Studies Monthly, seasonal, annual climate analysis and assessments 13/23 Climate & Climate Change Studies Regional Climate Model Mevsimlik Yağış Değişimi (%), (2071-2100)-(1961-1990) Seasonal Precipitation Change (%), (2071-2100)-(1961-1990) Total Precipitation Change (mm/day), (2001-2099)-(1961-1990) Studies Toplam Yağış Değişimi (mm/gün), (2001-2099)-(1961-1990) RegCM3-ECHAM5 B1 / 27 km PRECIS-HadAM3P A2 / 25 km Two different regional climate models have been run to obtain possible changes in future climate of Turkey. These are, RegCM3 of the International Centre for Theoretical Physics (ICTP) and PRECIS of Hadley Centre of the UK Met Office. Our aim is to generate climate change projections for Turkey by using different global model outputs based on different greenhouse gas emissions scenarios varying according to economical and technological developments of communities in the world. 14/23 2m Temperature and Precipitation for the last month are been monitoring http://emcc.dmi.gov.tr TSMS has taken initiative in order to carry out climate monitoring, seasonal forecast and data services for the Eastern Mediterranean Region. 15/23 Capacity Building Activities in climate related applications Climate Indices Workshop, Alanya, 2004 Climate Application Courses, Alanya, 2011 16/23 Climate Application Courses, Alanya, 2010 TSMS Telecommunication Network 110 VSAT Connection 5 Central Satallite Receiving System (2 EumetCast, 1 L-X Band, 2 L Band) and 4 Satallite Receiving System (EumetCast) 340 GPRS Connection 330 ADSL Connection 8 radio-link connection 150 Mb MetroEthernet Internet connection (Ankara - Centre) 10 Mb MetroEthernet Internet connection (İstanbul - Region) PSTN (Dial-up) connection Fax connection 17/23 Data Flow Observation Messages (SYNOP,METAR.) 206 AWOS (TEFER) 150 AWOS QC Telecomm. Section NWP, Research MSS Server Model Data GTS Data Radar / Satellite MSSQL DB ORACLE DB SYBASE ASE DB Preproc/ MARS HSM Servers 246 AWOS (Building) Remote Sensing TUMAS WEB Portal SYBASE ORACLE IQ DW DB (building) IT Section 18/23 Turkey Meteorological Data Archiving System Meteorological Data: All observed, derived, calculated, visualized data • TUMAS has been designed to meet the increasing demand of storing and presenting of meteorological data (observations, radar, satellite, NWP, etc.) TUMAS is web based Java application and use Sybase RDBMS and MARS softw • Archiving of data is in a digital format, secured and there will be back-up; • Accessible for Turkish users under security conditions; • Meteorological data demands are remote controlled; • On-line presentation and selling of data is a good example of E-government. 19/23 TÜMAS System Architecture Sybase ASE Server DPP Server Sybase IQ Server TUMAS Web Portal MARS Server Disk System 11 TB FC Data Data Acquire from different sources and pre-process, (format conversion) Web Portal Server Hierarchical Storage Mgmt. Server (TSM) 11 Terabyte SATA Teyp Library 290 Terabyte Storage Area Network 20/23 TSMS Archive Inventory • • • • • • • • • • • • • • Climatological data (1926-Today) Ravinsonde data (1971-Today). Synoptic data(1980-Today) AWOS data (2003 -Today) Aerodrome AWOS data (2003-Today) Metar data (2000-Today) Taf,Sigmet,Airmet data (2008-Today) Open Screen Observation Data (1999-Today) Sea Surface temperature data(Beginning– Today). Inversion analyse data (2006-Today) Ozon/UV Data (2006/1997-Today) Radar Data (2008 – Today) Satallite Data (2008 – Today) Model Data (2006 – Today) 21/23 TSMS Data Accessing Procedure Turkish users: • Internal users can access data by describing their request via official petition • Internal users should be a TUMAS member to retrieve data as online. • Universities and Government organization can access the data free of charge • Individual users and private sectors should pay for the data. Abroad users: • External users couldn’t be a TUMAS member due to it’s required ID No • External users should make data request via official letter to the TSMS • Abroad request are considered in the External Relation Division request within the scope of ECOMET(*) is free of charge (universities, end-users), private sectors should pay for the data. (*) The Economic Interest Grouping of the National Meteorological Services of the European Economic Area 22/23 Best Practices on Exchanging Data Climate Indices, RClimDex Advantages of Indices versus Data Indices are information derived from data It represents the data More readily released than data Useful in a wide variety of climate change analyses Useful for Model – observations comparisons Useful for analyses of extremes Easily exchangeable 23/23 Trends in (a) cold nights (TN10p), (b) warm nights (TN90p), (c) cold days (TX10p) and (d) warm days (TX90p). Trends were calculated only for the grid boxes with sufficient data (at least 40 years of data. Black lines enclose regions where trends are significant at the 95% confidence of level. The red curves on the plots are nonlinear trend estimates obtained by smoothing using a 21-term binomial filter. 24 24/23 Thank you for your attention… Serhat ŞENSOY Chief of Climate & Climate Change Division Vice-President of WMO CCl 25/23
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