1 … institute for the protection and security of the citizen the grid reference system used for...
TRANSCRIPT
1
… Institute for the Protection and Security of the Citizen
The grid reference
system used for CGMS
(MARS-STAT Action)G.Genovese
1st European Workshop on Reference Grids
Ispra; 27-29 October, 2003
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Rationale of the project
• The MARS (Monitoring Agriculture with Remote Sensing) project started in 1989 an Agro-meteorological system at European Level based on– Collection of Meteorological data– Collection of Remote Sensing Data– Transformations and Modelling into crop parameters
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Objective and Users• Objective
– Provide harmonised European views on the cropping season – Provide quantitative crop yield forecasts
• Study influence of weather on crop growth • Monitoring crop condition• Input for the quantitative yield prediction• All procedures and data storage are part of the Crop Growth
Monitoring System (CGMS)
4
UsersDG-Agri (Outlook group); EUROSTAT; DG-EnlargFAO; National Competent Authorities Other (Trade Organisations, Universities..)
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• Motivation: spatial schematisation (soil, climate, land use); secures continuous/complete time series
• Interpolate daily meteorological station data towards centres of a regular climatic grid(50 by 50 kilometres, Lambert-Azimuthal projection, 5625 cells)
• Simple approach, easy to automate while accuracy is sufficient
Spatial interpolation (weather monitoring)
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DBDBGRIDGRID
DB GRID: description
Daily data at grid level
• 5625 cells (50 x 50 km)5625 cells (50 x 50 km)
• 1906 on the EU-15 1906 on the EU-15 countries (34%)countries (34%)
Data stored:
• Data since 1 January 1975 Data since 1 January 1975
• Reference period (long Reference period (long term): 1975 – 2002term): 1975 – 2002
• 10 agrometeorological 10 agrometeorological parametersparameters
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around 4000
stations
quality checked
1933 - current day
best spatial and
temporal coverage in
western Europe
9
• Three steps to interpolate to grid cell:– temporal coverage of stations– selection of stations based on distance, similarity in altitude and
distance to the coast, climatic barriers, – simple average over one up to four stations, corrected for
altitude difference in case of temperature and vapour pressure; rainfall only most similar station
Spatial interpolation (weather monitoring)
10
DB GRID:1. MAXIMUM_TEMPERATURE
2. MINIMUM_TEMPERATURE
3. VAPOUR_PRESSURE
4. WINDSPEED
5. RAINFALL6. E0
(evaporation from a water surface – Penman method)
7. ES0 (evaporation from a wet bare soil- Penman method)
8. ET0 (evapotranspiration - Penman method)
9. CALCULATED_RADIATION(Ångström, Supit, Hargreaves )
10. SNOW_DEPTH
11
12
GIS-OVER-
LAY
NUTS A
SMU 2
SMU 1
NUTS B
EMU 1
EMU 2
EMU 3EMU 4
EMU1 = GRID 1, SMU 2, NUTS B EMU2 = GRID 1, SMU 1, NUTS B EMU3 = GRID 1, SMU 1, NUTS A EMU4 = GRID 1, SMU 2, NUTS A
GRID 1
homogeneous
simulation units in
regard to weather and
soil
NUTS
(administrative)
regions for
aggregation
Spatial schematisation (crop monitoring)
13
14
15
DECEMBER 2002
JANUARY 2003
FEBRUARY 2003
MARCH 2003
APRIL 2003
-30
-20
-10
0
10
20
30
40
1-Jan 1-Mar 1-May
°C T max T min
POLAND - Western
0
5
10
15
20
25
30
35
1-Jan 1-Feb 1-Mar 1-Apr 1-May
mmsnowrain
Frost kill risk
Meteo monitoring
16
Agrometeo monitoring
17
Map of meteo events Vs agricultural activities
18
Maps of meteo extreme events
19
http://www.marsop.info
20
Esternal usersLIST OF PROJETS linked TO CGMS1. B-CGMS (http://b-cgms.cragx.fgov.be/)
2. Eurostat (http://www.aris.sai.jrc.it/cgi-bin/eurostat.pl)
3. Spanish – CGMS (Universidad Politécnica de Madrid - UPM)
4. Modeling Surface Radiation (Physical and Chemical Exposure Unit -(IHCP)
5. Registration procedure of pesticide in Italy (International Center for Pesticides and Health Risk Prevention))
6. Designing Sustainable plant-protein production systems (Crop and Weed Ecology Group - Department of Plant Sciences - Wageningen University))
7. Evaluation of growth and productivity model integrated with remote sensing techniques (Università degli Studi di Milano-Department of Crop Science))
8. Crop yield forecasting in Kazakhstan using CGMS and WOFOST (ALTERRA))
9. Monitoring weather and crop in Mongolia using CGMS and WOFOST (ALTERRA))
10. DEMETER11. ENSAMBLES (ECMWF)12. TERRACE project (Cranfield University at Sisloe,Bedfordshire – UK))
13. Temperature Correction of Energy Consumption (EI – LMU, DG-EUROSTAT unit Energy Statistics))
14. Forest Fire Information System (http://natural-hazards.jrc.it/fires/)
15. European Phenology Networks
21
• projection LAMBERT_AZIMUTHunits METERSspheroid SPHEREparameters6378388
• Centre of projection EU129 0 0.0 48 0 0.0
0 0
GRID projection and DATUM
22
Achievements
• 35 countries covered• 11 crops monitored• 28 years of meteo and agrometeo data• 21 years of low resolution satellite information• 20 crop’s indicators
23
Score = dist + Δalt*Walt + ΔdCstcorr + ClbInc expressed in km
where:
dist : distance between the weather station and the grid centre. [km]
Δalt : absolute difference in altitude. [m]
Walt : weighting factor for Δalt (= 0.5).
dCstcorr : absolute difference in corrected distance to coast [km]
ClbInc : climate barrier increment. (1000 km or 0)
Interpolation procedure: scoring procedure