Difference between revisions of "Calibration"

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===Tools===
 
===Tools===
# [[Software_Tools#Calplat|WOFOST_Control_Centre]]: user interface to run wofost crop model and interactive selection of crop-, soil-, weather-files. Changes interactively model parameters. Analyse results in table and graphical format. Used for manually local calibrations.  
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# [[Software_Tools#WOFOST_Control_Centre|WOFOST Control Centre]]: user interface to run wofost crop model and interactive selection of crop-, soil-, weather-files. Changes interactively model parameters. Analyse results in table and graphical format. Used for manually local calibrations.  
 
# [[Software_Tools#Calplat|Calplat]]. Optimization platform to create zonations and execute automatic calibrations.   
 
# [[Software_Tools#Calplat|Calplat]]. Optimization platform to create zonations and execute automatic calibrations.   
 
# [[Software_Tools#Calibration_Manager|Calibration Manager]]. Python script that combines Python wofost with open optimizer NLopt to automatically calibrate multiple zones and multiple parameters.  
 
# [[Software_Tools#Calibration_Manager|Calibration Manager]]. Python script that combines Python wofost with open optimizer NLopt to automatically calibrate multiple zones and multiple parameters.  

Revision as of 14:43, 9 April 2018



General description

The (re)calibration of crops for WOFOST and LINGRA are performed using different calibration tools and agropheno datasets.

Tools

  1. WOFOST Control Centre: user interface to run wofost crop model and interactive selection of crop-, soil-, weather-files. Changes interactively model parameters. Analyse results in table and graphical format. Used for manually local calibrations.
  2. Calplat. Optimization platform to create zonations and execute automatic calibrations.
  3. Calibration Manager. Python script that combines Python wofost with open optimizer NLopt to automatically calibrate multiple zones and multiple parameters.

Data sets

  1. AETS: Data for Ukraine and Turkey. Added in 2016.
  2. Bilateral Austria. Added in 2016.
  3. Bilateral Germany. Added in 2016.
  4. Bilateral Slovakia. Added in 2016.
  5. Bilateral Slovenia. Added in 2016.
  6. Bilateral Ukraine. Added in 2017.
  7. Boons-Prins study. Added in 2005.
  8. Crop-KUL: crop parameters, including Kc coefficients, created with the KUL University. Added in 2006.
  9. Geosys/ASEMARS. Added in 2006 and 2007.
  10. MARS Activity-B-2001. Added in 2016.
  11. MOCA: crop data from (at that time) candidate member states. Added in 2005.
  12. MOCCASIN project. Added in 2017.
  13. PASK (Pasture Knowledge base) DB which collects the most recent pasture data on new Member States. This DB was released in 2003.
  14. MARSOP4 - general target values for LAI and HI. Added in 2017.
  15. Zentralanstalt fur meteorologie und geodynamik. Added in 2008.

The data are available at climate grid resolution.

Crop DB sources EU15 DB Sources EU25 Type MODEL
Winter (Soft) Wheat CGMS/KUL-Univ. DB CGMS/KUL Univ. & MOCA DB Recalibration WOFOST
Spring Barley CGMS/KUL-Univ. DB CGMS/KUL Univ. & MOCA DB Recalibration WOFOST
Winter Rape seed CGMS/KUL-Univ. DB CGMS/KUL Univ. & MOCA DB Recalibration WOFOST
Grain maize CGMS/KUL-Univ. DB CGMS/KUL Univ. & MOCA DB Recalibration WOFOST
Sugar beet CGMS/KUL-Univ. DB CGMS/KUL Univ. & MOCA DB Recalibration WOFOST
Potato CGMS/KUL-Univ. DB CGMS/KUL Univ. & MOCA DB Recalibration WOFOST
Sunflower CGMS/KUL-Univ. DB CGMS/KUL Univ. & MOCA DB Recalibration WOFOST
Durum wheat See winter wheat See winter wheat Calibration WOFOST
Winter Barley CGMS/KUL-Univ. DB CGMS/KUL Univ. and MOCA DB Calibration WOFOST
Rye No data available MOCA DB Calibration WOFOST
Oat No data available MOCA DB Calibration WOFOST
Spring Rape seed CGMS/KUL-Univ. DB CGMS/KUL Univ. & MOCA DB Calibration WOFOST
Field beans CGMS/KUL-Univ. DB MOCA DB Calibration WOFOST
Field Peas No data available MOCA DB Calibration WOFOST
Soy Bean CGMS/KUL-Univ. DB MOCA DB Calibration WOFOST
Rice CGMS/KUL-Univ. DB No data available Calibration WOFOST
Rye Grass LINGRA & PASK DB PASK DB Recalibration LINGRA
Alfalfa PASK DB PASK DB Calibration LINGRA
Tomato No data available No data available Calibration CGMS SYTEM

The calibration consist in the following subtasks:

  • Consistency check of the datasets (area of interest, make decisions how to calibrate the models and which part of the DBs to exploit).
  • Coherent recalibration from EU15 to EU25 with the results of the consistency check of the existing crops.
  • Calibration of new crops at EU25 level. This includes verifications of the consistency of the CGMS output by runnin simulations up to level 3 in order to verify the output obtained using the new crop parameters.
  • Validation with sub data sets.

The calibration and the validation can be done according to one of the following strategy/approaches based on the data availability:

  • Strong: Based on complete sets of crop parameters from experimental fields.
  • Medium: Based exploiting as much as possible the crop parameters data available in the DBs.
  • Light: Based on TSUM derived from CGMS level 1 and basic crop calendars. As the information of crop start-emergence/flowering/end-of-maturity at grid level are the basic information available in the system, the main tables which are analyzed are the WEATHER_OBS_GRID and the WEATHER_OBS_GRID_LTA to relate meteo data with calendar day to calculate crop TSUM.