Calibration

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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

Agropheno data are stored in a relational database that contains experimental data, expert knowledge and regional calendars. The database contains the following data sets:

1  PASK: pasture data from candidate member States
2  Boons-Prins study, inserted in 2005
3  MOCA: crop data from candidate member states, inserted in 2005
4  Crop-KUL: crop parameters, inserted in 2006
5  GEOSYS/ASEMARS, inserted in 2006 and 2007
6  ZAMG (Zentralanstalt fur meteorologie und geodynamik), inserted in 2008
7  AETS: Data for Ukraine and Turkey, inserted in 2016
9  MARS Activity-B-2001, inserted in 2016
10 Bilateral Austria, inserted in 2016
11 Bilateral Germany, inserted in 2016
12 Bilateral Slovakia, inserted in 2016
13 Bilateral Slovenia, inserted in 2016
14 Bilateral Russia/Kazakhstan, inserted in 2016 
15 MOCCASIN project, inserted in 2017
16 MARSOP4 - general targets for LAI and HI, inserted in 2017
17 GLOBAM, inserted in 2009
18 Huabei CGMS, inserted in 2009
19 RUBKA, inserted in 2009
20 Asia CGMS (I. Savin), inserted in 2009

XY locations of are mapped to grid numbers of the regular target agro climatic that each regional window has.

Crop name Crop_no Data sets Calibration Tool Status MODEL WINDOW
Winter Wheat 1 2-4  ? Operational WOFOST EUR
Grain maize 2 2-6 Calplat Operational WOFOST EUR
Spring Barley 3 2-6 Calplat Operational WOFOST EUR
Rye 4 2-5 Calplat Operational WOFOST EUR
Rice 5  ?  ? Operational WARM/BLAST EUR
Sugar beet 6 2-4  ? Operational WOFOST EUR
Potato 7 2-4  ? Operational WOFOST EUR
Field beans 8 3  ? Operational WOFOST EUR
Winter Rapeseed 10 2-6 Calplat Operational WOFOST EUR
Sunflower 11 2-4  ? Operational WOFOST EUR
Winter Wheat Vernalisation 90 2-14, 16 Calibration Manager Under revision WOFOST EUR
Winter Wheat 91 2-5 Calplat Under revision WOFOST EUR
Field beans 92 2-5 Calplat Under revision WOFOST EUR
Sunflower 93 2-5 Calplat Under revision WOFOST EUR
Winter Rapeseed 94 2-5 Calplat Under revision WOFOST EUR
Spring Barley 95 2-6 Calplat + WCC Under revision WOFOST EUR
Spring Barley Ukraine 96 2-7, 15-16 Calibration Manager Under revision WOFOST EUR
Grain maize Ukraine 97 2-7, 15-16 Calibration Manager Under revision WOFOST EUR
Winter wheat 2008 1 19-20 Calplat Operational WOFOST RUK
Winter wheat 2012 2 19-20 Calplat Operational WOFOST RUK
Spring wheat 2008 3 19-20 Calplat Operational WOFOST RUK
Spring wheat 2012 4 19-20 Calplat Operational WOFOST RUK
Grain maize 2008 5 17-18 Calplat Operational WOFOST RUK
Grain maize Rus/Kaz 89 14 Calibration Manager Under revision WOFOST RUK
Field Peas  ? 3  ? Not operational WOFOST EUR
Oat  ? 3  ? Not operational WOFOST EUR
Winter Barley 13 2-4  ? Not operational WOFOST EUR
Spring Rape seed  ? 2-4  ? Not operational WOFOST EUR
Soy Bean  ? 3  ? Not operational WOFOST EUR
Rice  ?  ?  ? Not operational WOFOST EUR
Rye Grass  ? 1  ? Not operational LINGRA EUR
Alfalfa  ? 1  ? Not operational LINGRA EUR
Tomato  ?  ?  ? Not operational CGMS SYTEM EUR

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.