Climate Service in Georgia

Size: px

Start display at page:

Download "Climate Service in Georgia"

Alan Dixon
7 years ago
Views:

1 21-22 November, Antalya Turkey Climate Service in Georgia Lia Megrelidze The National Environmental Agency Ministry of Environment and Natural Resources Protection of Georgia

2 Capacities for the management of climatic data Digitized are about 50% of dataset. Mostly data from1966, except the solar radiation data. Quality controlled are data from About 20% of full dataset; Quality controlled and homogenized are data of temperature, precipitation, snow cover for almost full observation period. About 30% of full dataset. Station history archives exist at Georgia NMHS but they are not complete for all stations during all periods and metadata are not digitized.

Current capacities for the management of climatic data The CLIDATA system was implemented in 2013 in the frame of the project with Czech Development Agency.

3 Current capacities for the management of climatic data The CLIDATA system was implemented in 2013 in the frame of the project with Czech Development Agency. The system is primary intended for archiving of climatology data, for the data quality control and for administration of climatology stations and station observations. The system facilitates the population of data from automated (real-time) stations as well as the definition of personalized key entry forms.

Available products derived from the climatic data base Types of stored measured data: Daily data (observed and automatic), Extremes, Monthly Data, Monthly Data Count, Meteorological Phenomena Monthly

5 Available products derived from the climatic data base Types of stored measured data: Daily data (observed and automatic), Extremes, Monthly Data, Monthly Data Count, Meteorological Phenomena Monthly Data, Normals, Phenomena Monthly Data, Wind Rose, Long term rainfall gauge measurements, One minute precipitation, Provisory Edata, Upper air chart (not used) Other products: Wind roses X-day function Chart of the rainfall intensity User defined extremes CLIMAT message Regular customers Automatic and FTP Calculation possibilities: Daily data (according to formula) Monthly data Long term normals Long term extreme values Interpolation of missing data Inventory of missing data

7 Climate Atlas Some maps of mean and extreme climate parameters and return values are included in: Georgian National Atlas (published by the Institute of Geography), Atlas of Natural Hazards and Risks if Georgia (CENN-ITC, reference climatological period in use is

Current capacities for climate monitoring National observation network for climatic purposes comprises 11 conventional, 30 automatic and 36 precipitation stations.

9 Current capacities for climate monitoring National observation network for climatic purposes comprises 11 conventional, 30 automatic and 36 precipitation stations. Tbilisi magnetic-meteorological observatory was established in Regular observations started in April The stations of the observation network observe the standards established by GCOS Number of stations in hydrometeorological network of Georgia

10 GEORGIA Climate Reports REGION VI EUROPE Decadal (10-day) and monthly reports in codes of CLIMATE (SHIP). 8 Climate stations are in International Exchange, 1 station is included GCOS Surface Network (GSN) WMO index number NAME LAT LON ELEVATION ZUGDIDI POTI 42 08' 41 42' KUTAISI PASANAURI AKHALTSIKHE 41 39' 43 00' TBILISI TELAVI 41 56' 45 29' BOLNISI Annual and monthly bulletins for regular publications of WMO about mean and extreme climate conditions like: heat waves or cold waves, extreme precipitation episodes, snow and wind storms, hail, droughts, etc.

11 Current capacities for the management of climatic data Georgia s NMHS conducts analysis of climatic extreme events at national and subnational levels; The NMHS maintains analysis of climatic trends and detection of climate change at national and subnational levels; Not directly NMHS, but experts from NMHS involved in national and international projects, National Communications. The NMHS derives data from climate change scenarios for vulnerability analysis and application. And impact study in agriculture, hydrology, tourism and health sectors

Homogeneity testing has been carried out using RHtestV4, an R-based software packages developed at the Climate Research Branch of Meteorological Service of Canada on behalf of the ETCCDMI (WMO

12 Homogeneity testing has been carried out using RHtestV4, an R-based software packages developed at the Climate Research Branch of Meteorological Service of Canada on behalf of the ETCCDMI (WMO CCl/CLIVAR Expert Team (ET). The analysis of the adjustments revealed magnitudes that are comparable to the climatic signal calculated from the homogeneous temperature series. Monthly adjustment amounts vary between 1 C and +3 C. The analysis of calculation of extreme climate indices from adjusted series revealed that the slope of any trend found in the period would be underestimated if derived from a temperature series of original values for the data series have break points until 1960s and overestimated for those with inhomogeneities after As for breaks in 1990s they might be considered as a climate change signal and have been kept. Quality controlled and corrected daily temperature and precipitation series are now available for future studies on detection of climate variability and change. Future work will involve the ongoing development of procedures to provide digitized metadata, more accurate daily adjustments for other homogeneity problems and the joining of human and automated observations. Number of shifts per pentad Annual variation of the number of statistically significant inhomogeneities Frequency distribution of the monthly adjustments for temperature in classes of C

Climate Change Indices Background There is a general consensus within the climate community that any change in the frequency or severity of extreme climate events would have profound impacts on

13 Climate Change Indices Background There is a general consensus within the climate community that any change in the frequency or severity of extreme climate events would have profound impacts on nature and society. It is thus very important to analyze extreme events. The monitoring, detection and attribution of changes in climate extremes usually require daily resolution data. However, the compilation, provision, and update of a globally complete and readily available full resolution daily dataset is a very difficult task. This comes about, in part, because not all National Meteorological and Hydrometeorological Services (NMHS) have the capacity or mandate to freely distribute the daily data that they collect. Consequently, the ET and its predecessor, the CCl/CLIVAR Working Group (WG) on Climate Change Detection have been coordinating an international effort to develop, calculate, and analysis a suite of indices so that individuals, countries, and regions can calculate the indices in exactly the same way such that their analyses will fit seamlessly into the global picture (Karl et al. 1999, Peterson and Co-authors 2001). It is hoped that participation in this effort will allow all interested parties, including the index contributors, to benefit from improved monitoring of change with broader spatial coverage that is currently unavailable. References Karl, T.R., N. Nicholls, and A. Ghazi, 1999: CLIVAR/GCOS/WMO workshop on indices and indicators for climate extremes: Workshop summary. Climatic Change, 42, 3-7. Peterson, T.C., and Coauthors: Report on the Activities of the Working Group on Climate Change Detection and Related Rapporteurs WMO, Rep. WCDMP-47, WMO-TD 1071, Geneve, Switzerland, 143pp. Peterson, T.C., 2005: Climate Change Indices. WMO Bulletin, 54 (2), Last updated

Surface temperature anomalies (relative to 1961 1990) for the period 1961 2012 Annual precipitation anomalies

14 Surface temperature anomalies (relative to ) for the period Annual precipitation anomalies (relative to ) expressed as percentages above or below the longterm average for the period

15 Climate change projection The NMHS derives data from climate change scenarios for vulnerability analysis and application and conducts impact studies in agriculture, hydrology, tourism and health sectors Changes in main climate parameters are constructed using Hadley Center regional climate model PRECIS and ICTP model RegCM4 With boundaries from GCM EHCAM, ECHAM5/MPI-OM By SRES scenario B2, A1B For period , for all seasons

16 Validation RegCM4 by CRU (Climate Research Unit) ( period precipitation seasonal sums)

19 Aridity index=precipitation/evapotranspiration Superarid Hyperarid Arid Semiarid Subhumid Humid Hyperhumid Superhumid < >5.33 Climate-Smart Agriculture Conference

20 Current capacities for the provision of climate services to climate-sensitive sectors Climate services provided to the agricultural sector: Specific agro-climatic information on demand, Decadal (10-day) and monthly agro-meteorological bulletins to relevant governmental bodies. Climate services provided to the water sector: Observation and modelled data for current and future water supply modelling, for energy power assessment, etc.

21 Current capacities for the provision of climate services to climate-sensitive sectors Climate services provided to the disaster risk reduction sector: Extreme climate data, probability and recurrence of extremes, normals, etc. Climate services provided to building sector: building-climate codes and specialized buildingclimate parameters; Provided climate services are differentiated for each sector;

22 Main Users of Climate Services Government; Defense; Agriculture; Transport; Energetic; Communication; Incurrence; Tourism, etc.

23 Limitations of the NMHSs in the provision of climate services 3 persons in the NMHSs are dedicated to the production of climate services; Delay of delivery observation data from conventional stations is a barrier for the production of climate services operationally, also automatic stations are not connected to CDMS in real-time. The priorities to strengthen the provision of climate services: training of staff, development and implementation new services (satellite products, seasonal forecast, etc) and webtechnologies; The opportunities to strengthen the provision of climate services: Web-interface, forums of climate data providers and users, better communication with research institutions

24 User interface Platforms Interface with users is developed on the basis of agreements of paid/free services; The interface mechanisms with users are institutionalized; Good practices in the development and application of climate services In the coastal zone buildings were influenced by driving rains, after providing building company by appropriate building-climate parameters and recommendations based on these parameters new constructions against humidification were designed.

25 Thank you!

Armenian State Hydrometeorological and Monitoring Service

Armenian State Hydrometeorological and Monitoring Service Offenbach 1 Armenia: IN BRIEF Armenia is located in Southern Caucasus region, bordering with Iran, Azerbaijan, Georgia and Turkey. The total territory