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