IDRC14-Szalai_7_4

5th International Disaster and Risk Conference IDRC 2014
‘Integrative Risk Management - The role of science, technology & practice‘ • 24-28 August 2014 • Davos • Switzerland
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Use of regional database for
climate change and drought
investigations
Sandor SZALAI1, Jonathan SPINONI2, Borbala GALOS3, Mate
BESSENYEI1, Peter MOLNAR4, Tamas SZENTIMREY5
1Szent Istvan University, Hungary;
2Joint Research Centre, Ispra;
3University of West Hungary, Hungary;
4National Water Authority, Hungary;
5Hungarian Meteorological Service, Hungary

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Status
Problems
• Increasing needs for international databases
• Fulfilling the users’ requests and keeping the national data policies
• Creating high quality databases
Solution
• Gridded database
• Common software of DM and DQ methods used
• Each service/institute works with own data, no common database
• Results are well documented and freely available

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Problems
• Less studied regions
– Carpathians
– Southeastern-Europe
• Smaller countries mostly with complex topography
• Specific effects of the Carpathian region, like summer drying

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Location

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Carpathians
• Length about 1500 km, second longest in Europe
• Highest peak is 2655 m
• Area is 190000 km2
• Area of the project is about 500000 km2 (appr. the territory of
Spain)

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Philosophy of CARPATCLIM
• No common database of raw data
• Each country provide the same work (hope for a network as
dense as possible for the project)
• Common software
• National and international consistency
• Near border data exchange (minimum number of data
exchanged on equal basis)

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Participants
• Leading organisation: Hungarian Meteorological Service
• Participants:
(Hydro)meteorological institutes and services of Austria, Croatia,
Czech Republic, Poland, Serbia, Slovakia, Ukraine
National Research and Development Institute of Environmental
Protection of Romania
Szent Istvan University from Hungary

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Structure
• Module 1: Data rescue, quality control, and data
homogenisation by the use of MASH. (Leader: SHMU)
• Module 2: Data harmonisation and gridded datasets by the
use of MISH. (Leader: OMSZ)
• Module 3: Climate Atlas, publicly accessible dedicated web
site, gridded climatological datasets and searchable metadata
catalogue (Leader: RHMSS)

Set of meteorological variables in daily temporal resolution
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to be provided
2 m mean daily air temperature,
minimum air temperature,
maximum air temperature
precipitation
10 m wind direction
10 m horizontal wind speed
sunshine duration
cloud cover
global radiation
relative humidity
surface vapour pressure
surface air pressure
snow depth

Set of variables and indicators to be provided for the
Digital Climate Atlas of the Carpathian Region
Average air temperature (2 m), average mean air temperature (2 m),
minimum air temperature, maximum air temperature, precipitation,
maximum 10 m horizontal wind speed, average 10 m horizontal wind speed,
sunshine duration, cloud cover, global radiation, relative humidity, vapour pressure,
surface air pressure, snow depth, snow water equivalent, number of frost days,
number of days with Tmax above 25 °C, number of days with Tmax above 30 °C,
Palfai Drought Index, Standardized Precipitation Index averaged over a
three-months period, Reconnaissance Drought Index, Palmer Drought Severity Index,
percentage of days without defrost (ice days), percentage of extremely hot days,
percentage of severe cold days, growing season length, percentage of wet days,
percentage of wet days above 20 mm/d, greatest 1-day total rainfall,
greatest 5-day total rainfall, aridity index, moisture index, Ellenberg index
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Outputs
• High-resolution (10 km*10 km) freely available databases
• Data availability on monthly and daily level
• Time frame: 1961-2010

Web Atlas - Home page www.carpatclim-eu.org
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FINAL MEETING OF THE CARPATCLIM PROJECT, ISPRA, 22. – 23. APRIL 2013.

Temperature and precipitation averages
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Temperature changes, 1961-2010
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Seasonal temperature changes, 1961-2010
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Change of the annual precipitation sum
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1961-2010

Change of the seasonal precipitation sums
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1961-2010

Change in the number of wet days
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1961-2010

Change in the number of days with
precipitation above 20 mm, 1961-2010
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Change in the maximum daily precipitation
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sum, 1961-2010

Total number of dry days!year (left) and
heavy rainfall events/30 years (right) for 1971-2000
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A. Kriegsmann, 2013
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Drought of 1990 as seen from RDI, SPEI, and SPI with
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3, 6, and 12 accumulation windows
RDI3 SPEI3 SPI3 RDI6 SPEI6 SPI6 RDI12 SPEI12 SPI12
89 12 -0.70 -0.77 -0.92 -0.61 -0.46 -0.68 -0.47 -0.32 -0.41
90 1 -0.19 -1.17 -1.40 -0.54 -0.55 -0.63 -0.37 -0.26 -0.35
90 2 -2.00 -1.62 -1.40 -1.31 -1.36 -1.27 -0.34 -0.23 -0.26
90 3 -1.74 -1.82 -1.12 -2.00 -1.96 -1.52 -0.45 -0.34 -0.34
90 4 -1.06 -0.86 -0.29 -1.58 -1.42 -1.10 -0.42 -0.28 -0.44
90 5 -0.86 -0.86 -0.65 -1.65 -1.82 -1.30 -0.82 -0.75 -0.80
90 6 -0.36 -0.22 -0.52 -1.28 -1.19 -1.10 -1.35 -1.32 -1.31
90 7 -0.91 -0.71 -1.06 -1.11 -1.07 -1.02 -1.20 -1.20 -1.17
90 8 -1.19 -0.97 -1.27 -1.33 -1.20 -1.31 -1.82 -2.09 -1.78
90 9 -0.83 -0.54 -0.95 -0.83 -0.56 -1.01 -1.71 -1.96 -1.73
90 10 -0.43 -0.27 -0.49 -0.97 -0.74 -1.08 -1.65 -1.94 -1.64
90 11 0.05 0.10 0.00 -0.88 -0.70 -0.96 -1.64 -1.86 -1.57
90 12 -0.07 0.12 0.20 -0.50 -0.35 -0.60 -1.23 -1.07 -1.15
91 1 -0.67 -0.44 -0.34 -0.56 -0.46 -0.69 -1.20 -1.10 -1.18
91 2 0.31 -0.35 -0.46 -0.02 -0.09 -0.30 -1.14 -1.02 -1.22
91 3 -1.08 -1.16 -1.22 -0.95 -0.78 -0.67 -1.07 -0.95 -1.22
91 4 -0.62 -0.59 -0.73 -0.77 -0.78 -0.79 -1.21 -1.14 -1.41
91 5 0.63 0.58 0.30 0.44 0.23 -0.07 -0.46 -0.34 -0.84
91 6 0.64 0.64 0.33 -0.05 0.00 -0.37 -0.41 -0.28 -0.73
91 7 0.96 0.92 0.92 0.51 0.52 0.44 0.05 0.12 -0.12
91 8 0.45 0.45 0.54 0.58 0.58 0.54 0.41 0.42 0.26

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Benefits
• Possible applications in agriculture, hydrology and forestry
• Improved impact studies
• Risk assessment of natural disasters of meetorological origin
• Possibilities for modeling the spatial distribution of species
• Strong development in the applied sciences
• Damage estimation, crop-yield forecast
• Development of early warning systems
• More accurate determination of crop sites
• Choosing of production sites, etc.

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Acknowledgement
• Author thanks to European Comission, Joint Research Centre,
Institute for Environment and Sustainability, Ispra, Italy for
Contract Notice OJEU 2010/S 110-166082 dated 9 June 2010

Added value for the Post 2015 Framework for
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Disaster Risk Reduction
• How did your work support the implementation of the Hyogo
Framework for Action:
– PA2: Improved monitoring and impact studies
– PA3: Bedtter access to the information
– PA5: Improved results and better information supports preparedness
• From your perspective what are the main gaps, needs and further
steps to be addressed in the Post 2015 Framework for Disaster Risk
Reduction in
– Research: Strenghten the harmonisation process
– Education & Training: User of data (not the end-user) should be informed
about the possible problems
– Implementation & Practice: Better involvement of metadata
– Policy: Regional cooperations

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Thank you for your attention!

IDRC14-Szalai_7_4

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