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

1  PASK: pasture data from (at that time) candidate member States
2  Boons-Prins study, inserted in 2005
3  MOCA: crop data from (at that time) 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

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

Crop name Crop number Data sets used Calibration tool Status MODEL WINDOW
Winter Wheat 1 2-4 Calplat 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 various Operational WOFOST EUR
Potato 7 2-4 various Operational WOFOST EUR
Field beans 8 3 various Operational WOFOST EUR
Winter Rapeseed 10 2-6 Calplat Operational WOFOST EUR
Sunflower 11 2-4 various 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 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
Field Peas  ? 3 various Not operational WOFOST EUR
Oat  ? MOCA  ? Not operational WOFOST EUR
Winter Barley 13 Boons-Prins, Crop-KUL, MOCA  ? Not operational WOFOST EUR
Spring Rape seed  ? Boons-Prins, Crop-KUL, MOCA  ? Not operational WOFOST EUR
Soy Bean  ? Boons-Prins, Crop-KUL, MOCA  ? Not operational WOFOST EUR
Rice  ? Boons-Prins, Crop-KUL  ? Not operational WOFOST EUR
Rye Grass  ? LINGRA & PASK DB  ? Not operational LINGRA EUR
Alfalfa  ? PASK DB  ? Not operational LINGRA EUR
Tomato  ? No data available  ? Not operational CGMS SYTEM EUR
Grain maize Russia/Kazakhstan 89 14 Calibration Manager Under revision WOFOST RUK

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.