international workshop on rescue and digitization
DESCRIPTION
International Workshop on Rescue and Digitization of Climate Records in the Mediterranean Basin. Data Rescue Activities at Slovenian Meteorological Office Mojca Dolinar, Boris Pavčič, Mateja Nadbath Tarragona, 29 th November 2007. Outline. Present meteorological network - PowerPoint PPT PresentationTRANSCRIPT
International Workshop on Rescue International Workshop on Rescue andand Digitization Digitization ofof Climate Records Climate Records in thein the Mediterranean Basin Mediterranean Basin
Data Rescue Activities Data Rescue Activities
atat
Slovenian Meteorological Office Slovenian Meteorological Office
Mojca Dolinar, Boris Pavčič, Mateja NadbathMojca Dolinar, Boris Pavčič, Mateja Nadbath
Tarragona, 29Tarragona, 29thth November 2007 November 2007
www.arso.gov.si
AGENCIJA REPUBLIKE SLOVENIJE ZA OKOLJE
ENVIRONMENTAL AGENCY OF THE REPUBLIC OF SLOVENIA
OutlineOutline
• Present meteorological networkPresent meteorological network• Structure of national meteorological Structure of national meteorological
archivearchive• Description of DARE activitiesDescription of DARE activities and and
resultsresults• Data inventoryData inventory
Present meteorological Present meteorological station networkstation network
13 Synoptic stations13 Synoptic stations
26 Climatological Stations26 Climatological Stations
176 Precipitation stations176 Precipitation stations
32 Automatic Weather Stations32 Automatic Weather Stations
0
50
100
150
200
250
300
350
400
1940
1944
1948
1952
1956
1960
1964
1968
1972
1976
1980
1984
1988
1992
1996
2000
2004
Nu
mb
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f st
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Meteorological DatabaseMeteorological Database
Classical measurements:Classical measurements:• 3 measurements per day (7 a.m., 2 p.m., 9 p.m.)3 measurements per day (7 a.m., 2 p.m., 9 p.m.)• From 1961 all data have been systematically digitizedFrom 1961 all data have been systematically digitized
0
20
40
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100
120
1-10 11-20 21-30 31-40 41-50 51-60 61-70 71-80 81-90 91-100 > 100
Length of data series
Nu
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f st
atio
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Precipitation data series Climate data series
Automatic measurements:Automatic measurements:• Half an hour data (mean, max, min, terminal) Half an hour data (mean, max, min, terminal) • Precipitation: 5 min.Precipitation: 5 min.• Up to 14 years long recordsUp to 14 years long records
Graphical catalogueGraphical catalogue
Systematic gaps: •first and second world war •break-line is the year 1961 (the beginning of systematic
digitization process)
Station did not measure
Precipitation data
Climate data
Climate data with gaps
Precipitation data with gaps
Nondigitised data
Missing data
Data preservationData preservation
•9 locations with temperature and precipitation
•21 locations with precipitation
Old paper data is stored:• EARS• Archive of Slovenia (better conditions for storing)
Precipitation data are stored in boxes and arranged by stations.
Old climate data are bound and stored in logbooks and arranged by stations.
DigitizationDigitization
Historical units and instrumentsHistorical units and instruments
• Pressure and precipitation Pressure and precipitation in in Paris lineParis liness (’’’) = 2.256mm (’’’) = 2.256mm
•Max/min temperature: Six’s thermometerMax/min temperature: Six’s thermometer
The first preserved meteorological measurements
started in 1850 in the capital city
Ljubljana.
AMEBA: application for data digitalisation (basic logical AMEBA: application for data digitalisation (basic logical
control)control)
DigitizationDigitization
Observational timeObservational time
In first years after 2In first years after 2ndnd world war observation time at world war observation time at
climatological stations was not at regular hours. These climatological stations was not at regular hours. These
data are stored in separate tables in database.data are stored in separate tables in database.
General mistakesGeneral mistakes
Often have to dOften have to deaeal with unreadable datal with unreadable data
Quality control and validationQuality control and validation
• Few datasets available for comparisonFew datasets available for comparison
• Few additional data and resources available Few additional data and resources available
for checkingfor checking
• Larger distances – worse correlations Larger distances – worse correlations
between available data setsbetween available data sets
• Quality controQuality controll – validation ? – validation ?
Metadata rescueMetadata rescue
• DigitDigitizationization of paper card-file archive (gaps, missing data) of paper card-file archive (gaps, missing data)
• Filling gaps and missing metadataFilling gaps and missing metadata • Stations sites visiting/measuring/describing/photographingStations sites visiting/measuring/describing/photographing• Reconstruction of data after the old field logbooksReconstruction of data after the old field logbooks• Reconstruction of data after the knowledge of elderly Reconstruction of data after the knowledge of elderly
colleagues, residents and from historical resources like colleagues, residents and from historical resources like
chronicles and journalschronicles and journals
HomogenizationHomogenization
Different methodes for inhomogenities detection, comparison Different methodes for inhomogenities detection, comparison
and correction were tested and used:and correction were tested and used:For daily adjustments the correction factors were downscaled using For daily adjustments the correction factors were downscaled using
periodical functionsperiodical functions
Results - LJUBLJANAResults - LJUBLJANA
• Begun to operate in 1850• Standard observation time from 1866 with a gap around 1929• Meteorological station location changed six times (some locations
have not been chosen properly). • Same location from 1948 on.
• Main problems with data series: non-standard observation time, non-standard measurement units (Paris line), insufficient documentation of metadata
Results - LJUBLJANAResults - LJUBLJANA
Temperature
7
8
9
10
11
12
13
1866
1876
1886
1896
1906
1916
1926
1936
1946
1956
1966
1976
1986
1996
2006
Year
T [
°C]
Average temperature-ORI Average temperature-HOM
Linear trend (average temperature-ORI) Linear trend (average temperature-HOM)
0
20
40
60
80
100
120
Leto
Šte
vilo
dn
i
Topli dnevi Tropske noči
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20
40
60
80
100
120
140
Leto
Šte
vilo
dn
i
Hladni dnevi Ledeni dnevi
Mean annual temperature
Number of cold and freezing days
Number of warm days and tropical nights
Long data series - DigitizedLong data series - Digitized
•5 locations with temperature and precipitation (93 – 151 years)
•13 locations with precipitation (79 – 112 years)
•1 mountainous location (2565 m, 52 years)Availability: not restricted
Contact EARS
Long data series - PotentialLong data series - Potential
•9 locations with temperature and precipitation
•21 locations with precipitation
•More than 70 years long
•Few gaps•Original data available•1359 years to digitize
Availability: not restrictedContact EARS
FutureFuture
Problems:
• DARE activities need a lot of resources (Experts, Time, Money)• Low priority in NMS
Good experience -Interreg project FORALPS• Data digitization and validation• Metadata rescue• Homogenization
1356; 17% 6447; 83%
Nondigitalised years FORALPS
During FORALPS project 1.356 data years were digitised, quality controlled or validated
FutureFuture
Missing data from W part of the country:• According to metadata some stations were operating• Monthly data for some stations were digitized from yearbooks (University of Milano)• Potential sources for daily data: Rome, Belgrade
Thank You!