Difference between revisions of "Calibration"
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− | == | + | ===Calibration tools=== |
− | + | Different tools are available to calibrate crop parameters. Some tools are more suitable for local calibration, other tools are more suitable for regional calibrations. Sometimes crop parameters can be calculated or estimated using other tools. | |
− | + | # [[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#Calibration_Manager|Calibration Manager]]. Python script that combines Python wofost with open optimizer NLopt to automatically calibrate multiple zones and multiple parameters. |
− | # | + | # Various tools (e.g. xls, scripts, gis,...) |
− | # | ||
− | The data are | + | ===AgroPheno database=== |
+ | The agropheno data are stored in a relational database that contains observations from experimental sites, expert knowledge and regional calendars with their metadata. The metadata can be used to select sources or types of data to be included in the calibration. XY locations of experimental sites and regional calendars are mapped to grid numbers of the regular target agro climatic grids that are defined for each [[Regional_Windows|regional window]]. The database contains the following data sets: | ||
+ | |||
+ | <pre> | ||
+ | 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 | ||
+ | 21 FAO crop calendars | ||
+ | </pre> | ||
+ | |||
+ | ===Calibration levels=== | ||
+ | The following calibration levels are identified for regional and local calibrations. Most calibrations start with level 1, optionally followed by 2 or 3 and/or 4. They are executed in this order, gradually further optimizing results. Level 0 is not considered an agro phenological calibration. In this case parameters are calculated or estimated, using causal relationships other than with agropheno data. | ||
{|class="wikitable" | {|class="wikitable" | ||
− | ! | + | !Level !! Regional !! Local |
|- | |- | ||
− | | | + | |0: calculate/estimate || e.g. TSUM1, TSUM2, VERNSAT, VERNBASE, DLO,... || e.g. TSUM1, TSUM2, VERNSAT, VERNBASE, DLO,... |
|- | |- | ||
− | | | + | |1: Phenology || TSUM1, TSUM2 || TSUMEM, TBASEM, TSUM1, TSUM2, DLO, DLC, TEFFMX |
+ | |- | ||
+ | |2: Potential yield level - simple || AMAXTB || AMAXTB, SLATB, SPAN | ||
+ | |- | ||
+ | |3: Potential yield level - complex || SLATB, SPAN, FOTB || AMAXTB, SLATB, SPAN, RGRLAI, LAIEM, TDWI, FLTB, FRTB, FOTB, TMPFTB, RDRRTB | ||
+ | |- | ||
+ | |4: Water limited yield level || CFET, RDMCR || CFET, RDMCR, PERDL, DEPNR | ||
+ | |} | ||
+ | |||
+ | Required agropheno data for the respected levels and resolutions: | ||
+ | {|class="wikitable" | ||
+ | !Level !! Regional !! Local | ||
|- | |- | ||
− | | | + | |0: calculate/estimate || depending on causal relation || depending on causal relation |
|- | |- | ||
− | | | + | |1: Phenology || Regional calendars or observations of sowing, emergence, flowering, maturity and harvest || observations of sowing, emergence, flowering, maturity and harvest for different years |
+ | |- | ||
+ | |2: Potential yield level - simple || Observations of total biomass under optimal conditions for locations or regions || observations of LAI-max and total biomass under optimal conditions | ||
+ | |- | ||
+ | |3: Potential yield level - complex || Observations of LAI-max, total biomass, storage organs and/or harvest index under optimal conditions for locations or regions || observations of LAI, total biomass, weights of leaves, stems, storage organs and roots over time during the growth period under optimal conditions | ||
+ | |- | ||
+ | |4: Water limited yield level || Observations of total biomass, storage organs and/or harvest index under rainfed conditions for locations or regions || observations of LAI, total biomass, weights of leaves, stems and storage organs and possibly crop transpiration, evaporation and rooting depth over time during the growth period under water-limited conditions | ||
+ | |} | ||
+ | |||
+ | ===Calibration steps=== | ||
+ | The calibration consist in the following subtasks: | ||
+ | * Consistency check of the datasets (area of interest, agropheno data). | ||
+ | * Select calibration tool | ||
+ | * Select or create zonation and crop mask | ||
+ | * Select default crop from which to start calibration. | ||
+ | * Calibrate phenology (level 1) | ||
+ | * Analyse calibration results: WRMSE's, TSUM1, TSUM2, TSUM1+TSUM2, TSUM1/TSUM2, outliers | ||
+ | * Optionaly correct input data (e.g. zonation, crop mask, agropheno data , weather data,...) and restart calibration if needed | ||
+ | * Implement calibrated TSUMS and simulate full archive over full geographic extent | ||
+ | * Calculate metrics (long term average crop simulation characteristics) over full archive and full geographic extent | ||
+ | * Calculate yield forecast | ||
+ | * Compare metrics and forecast with operational crop | ||
+ | * Validation with sub data sets. | ||
+ | |||
+ | Optionally continue calibration: | ||
+ | * start calibration at the next level (e.g. 2 or 3 and/or 4) | ||
+ | * Implement calibrated parameters and simulate full archive over full geographic extent | ||
+ | * Calculate metrics | ||
+ | * Calculate yield forecast | ||
+ | * Compare metrics and forecast with operational crop | ||
+ | * Validation with sub data sets. | ||
+ | |||
+ | ===Calibrated crops=== | ||
+ | |||
+ | {|class="wikitable" | ||
+ | ! WINDOW !! MODEL !! Status !! Crop name !! Crop_no !! Data sets !! Calibration tool !! Level | ||
|- | |- | ||
− | | | + | | rowspan="27" | Europe (EUR) || rowspan="23" | WOFOST || rowspan="9" | Operational || Winter Wheat || 1 || 2-4 || ? || 1 |
|- | |- | ||
− | | | + | | Grain maize || 2 || 2-6 || Calplat || 1 |
|- | |- | ||
− | | | + | | Spring Barley || 3 || 2-6 || Calplat || 1, 3 |
|- | |- | ||
− | | | + | | Rye || 4 || 2-5 || Calplat || 1 |
|- | |- | ||
− | | | + | | Sugar beet || 6 || 2-4 || ? || 1 + SPAN |
|- | |- | ||
− | | | + | | Potato || 7 || 2-4 || ? || 1 + SPAN |
|- | |- | ||
− | | | + | | Field beans || 8 || 3 || ? || - |
|- | |- | ||
− | | | + | | Winter Rapeseed || 10 || 2-6 || Calplat || 1, 2, 3 |
|- | |- | ||
− | | | + | | Sunflower || 11 || 2-4 || ? || 1 + SPAN |
|- | |- | ||
− | | | + | | rowspan="8" | Under revision || Winter Wheat Vernalisation || 90 || 2-14, 16 || Calibration Man. || 0, 1, 3 |
|- | |- | ||
− | | | + | | Winter Wheat || 91 || 2-5 || Calplat || 0 + SPAN |
|- | |- | ||
− | | | + | | Field beans || 92 || 2-5 || Calplat || 1 |
|- | |- | ||
− | | | + | | Sunflower || 93 || 2-5 || Calplat || 1 |
|- | |- | ||
− | | | + | | Winter Rapeseed || 94 || 2-5 || Calplat || 1 |
|- | |- | ||
− | |Tomato || | + | | Spring Barley || 95 || 2-6 || Calplat + WCC || 1, 3 |
+ | |- | ||
+ | | Spring Barley Ukraine || 96 || 2-7, 15-16 || Calibration Man. || 1, 3 | ||
+ | |- | ||
+ | | Grain maize Ukraine || 97 || 2-7, 15-16 || Calibration Man. || 1, 3 | ||
+ | |- | ||
+ | | rowspan="6" | Not operational || Field Peas || ? || 3 || ? || | ||
+ | |- | ||
+ | | Oat || ? || 3 || ? || | ||
+ | |- | ||
+ | | Winter Barley || 13 || 2-4 || ? || - | ||
+ | |- | ||
+ | | Spring Rape seed || ? || 2-4 || ? || | ||
+ | |- | ||
+ | | Soy Bean || ? || 3 || ? || | ||
+ | |- | ||
+ | | Rice || ? || ? || ? || | ||
+ | |- | ||
+ | | rowspan="2" | LINGRA || rowspan="2" | Not operational || Rye Grass || ? || 1 || ? || | ||
+ | |- | ||
+ | | Alfalfa || ? || 1 || ? || | ||
+ | |- | ||
+ | | WARM || Operational || Rice || 5 || ? || ? || ? | ||
+ | |- | ||
+ | | ? || Not operational || Tomato || ? || ? || ? || | ||
+ | |- | ||
+ | | rowspan="6" | Russia Kazakhstan (RUK) || rowspan="6" | WOFOST || rowspan="5" | Operational || Winter wheat 2008 || 1 || 19-20 || rowspan="5" | Calplat || 1, 3 | ||
+ | |- | ||
+ | | Winter wheat 2012 || 2 || 19-20 || 1, 3 | ||
+ | |- | ||
+ | | Spring wheat 2008 || 3 || 19-20 || 1 | ||
+ | |- | ||
+ | | Spring wheat 2012 || 4 || 19-20 || 1 | ||
+ | |- | ||
+ | | Grain maize 2008 || 5 || 21 || 1 | ||
+ | |- | ||
+ | | Under revision || Grain maize Rus/Kaz || 89 || 14 || Calibration Man. || 1, 3 | ||
+ | |- | ||
+ | | rowspan="5" | China (CHN) || rowspan="2" | WOFOST || rowspan="5" | Not operational || Winter wheat || 1 || ? || rowspan="5" | Calplat || 1 ,3 | ||
+ | |- | ||
+ | | Grain maize || 2 || 21 || 1 ,3 | ||
+ | |- | ||
+ | | rowspan="3" | WARM || Rice early season || 3 || 21 || 1 | ||
+ | |- | ||
+ | | Rice middle season || 4 || 21 || 1 | ||
+ | |- | ||
+ | | Rice late season || 5 || 21 || 1 | ||
|} | |} | ||
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[[Category:Crop Simulation]] | [[Category:Crop Simulation]] |
Latest revision as of 12:07, 12 April 2018
Contents
Calibration tools
Different tools are available to calibrate crop parameters. Some tools are more suitable for local calibration, other tools are more suitable for regional calibrations. Sometimes crop parameters can be calculated or estimated using other tools.
- 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.
- Calplat. Optimization platform to create zonations and execute automatic calibrations.
- Calibration Manager. Python script that combines Python wofost with open optimizer NLopt to automatically calibrate multiple zones and multiple parameters.
- Various tools (e.g. xls, scripts, gis,...)
AgroPheno database
The agropheno data are stored in a relational database that contains observations from experimental sites, expert knowledge and regional calendars with their metadata. The metadata can be used to select sources or types of data to be included in the calibration. XY locations of experimental sites and regional calendars are mapped to grid numbers of the regular target agro climatic grids that are defined for each regional window. 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 21 FAO crop calendars
Calibration levels
The following calibration levels are identified for regional and local calibrations. Most calibrations start with level 1, optionally followed by 2 or 3 and/or 4. They are executed in this order, gradually further optimizing results. Level 0 is not considered an agro phenological calibration. In this case parameters are calculated or estimated, using causal relationships other than with agropheno data.
Level | Regional | Local |
---|---|---|
0: calculate/estimate | e.g. TSUM1, TSUM2, VERNSAT, VERNBASE, DLO,... | e.g. TSUM1, TSUM2, VERNSAT, VERNBASE, DLO,... |
1: Phenology | TSUM1, TSUM2 | TSUMEM, TBASEM, TSUM1, TSUM2, DLO, DLC, TEFFMX |
2: Potential yield level - simple | AMAXTB | AMAXTB, SLATB, SPAN |
3: Potential yield level - complex | SLATB, SPAN, FOTB | AMAXTB, SLATB, SPAN, RGRLAI, LAIEM, TDWI, FLTB, FRTB, FOTB, TMPFTB, RDRRTB |
4: Water limited yield level | CFET, RDMCR | CFET, RDMCR, PERDL, DEPNR |
Required agropheno data for the respected levels and resolutions:
Level | Regional | Local |
---|---|---|
0: calculate/estimate | depending on causal relation | depending on causal relation |
1: Phenology | Regional calendars or observations of sowing, emergence, flowering, maturity and harvest | observations of sowing, emergence, flowering, maturity and harvest for different years |
2: Potential yield level - simple | Observations of total biomass under optimal conditions for locations or regions | observations of LAI-max and total biomass under optimal conditions |
3: Potential yield level - complex | Observations of LAI-max, total biomass, storage organs and/or harvest index under optimal conditions for locations or regions | observations of LAI, total biomass, weights of leaves, stems, storage organs and roots over time during the growth period under optimal conditions |
4: Water limited yield level | Observations of total biomass, storage organs and/or harvest index under rainfed conditions for locations or regions | observations of LAI, total biomass, weights of leaves, stems and storage organs and possibly crop transpiration, evaporation and rooting depth over time during the growth period under water-limited conditions |
Calibration steps
The calibration consist in the following subtasks:
- Consistency check of the datasets (area of interest, agropheno data).
- Select calibration tool
- Select or create zonation and crop mask
- Select default crop from which to start calibration.
- Calibrate phenology (level 1)
- Analyse calibration results: WRMSE's, TSUM1, TSUM2, TSUM1+TSUM2, TSUM1/TSUM2, outliers
- Optionaly correct input data (e.g. zonation, crop mask, agropheno data , weather data,...) and restart calibration if needed
- Implement calibrated TSUMS and simulate full archive over full geographic extent
- Calculate metrics (long term average crop simulation characteristics) over full archive and full geographic extent
- Calculate yield forecast
- Compare metrics and forecast with operational crop
- Validation with sub data sets.
Optionally continue calibration:
- start calibration at the next level (e.g. 2 or 3 and/or 4)
- Implement calibrated parameters and simulate full archive over full geographic extent
- Calculate metrics
- Calculate yield forecast
- Compare metrics and forecast with operational crop
- Validation with sub data sets.
Calibrated crops
WINDOW | MODEL | Status | Crop name | Crop_no | Data sets | Calibration tool | Level |
---|---|---|---|---|---|---|---|
Europe (EUR) | WOFOST | Operational | Winter Wheat | 1 | 2-4 | ? | 1 |
Grain maize | 2 | 2-6 | Calplat | 1 | |||
Spring Barley | 3 | 2-6 | Calplat | 1, 3 | |||
Rye | 4 | 2-5 | Calplat | 1 | |||
Sugar beet | 6 | 2-4 | ? | 1 + SPAN | |||
Potato | 7 | 2-4 | ? | 1 + SPAN | |||
Field beans | 8 | 3 | ? | - | |||
Winter Rapeseed | 10 | 2-6 | Calplat | 1, 2, 3 | |||
Sunflower | 11 | 2-4 | ? | 1 + SPAN | |||
Under revision | Winter Wheat Vernalisation | 90 | 2-14, 16 | Calibration Man. | 0, 1, 3 | ||
Winter Wheat | 91 | 2-5 | Calplat | 0 + SPAN | |||
Field beans | 92 | 2-5 | Calplat | 1 | |||
Sunflower | 93 | 2-5 | Calplat | 1 | |||
Winter Rapeseed | 94 | 2-5 | Calplat | 1 | |||
Spring Barley | 95 | 2-6 | Calplat + WCC | 1, 3 | |||
Spring Barley Ukraine | 96 | 2-7, 15-16 | Calibration Man. | 1, 3 | |||
Grain maize Ukraine | 97 | 2-7, 15-16 | Calibration Man. | 1, 3 | |||
Not operational | Field Peas | ? | 3 | ? | |||
Oat | ? | 3 | ? | ||||
Winter Barley | 13 | 2-4 | ? | - | |||
Spring Rape seed | ? | 2-4 | ? | ||||
Soy Bean | ? | 3 | ? | ||||
Rice | ? | ? | ? | ||||
LINGRA | Not operational | Rye Grass | ? | 1 | ? | ||
Alfalfa | ? | 1 | ? | ||||
WARM | Operational | Rice | 5 | ? | ? | ? | |
? | Not operational | Tomato | ? | ? | ? | ||
Russia Kazakhstan (RUK) | WOFOST | Operational | Winter wheat 2008 | 1 | 19-20 | Calplat | 1, 3 |
Winter wheat 2012 | 2 | 19-20 | 1, 3 | ||||
Spring wheat 2008 | 3 | 19-20 | 1 | ||||
Spring wheat 2012 | 4 | 19-20 | 1 | ||||
Grain maize 2008 | 5 | 21 | 1 | ||||
Under revision | Grain maize Rus/Kaz | 89 | 14 | Calibration Man. | 1, 3 | ||
China (CHN) | WOFOST | Not operational | Winter wheat | 1 | ? | Calplat | 1 ,3 |
Grain maize | 2 | 21 | 1 ,3 | ||||
WARM | Rice early season | 3 | 21 | 1 | |||
Rice middle season | 4 | 21 | 1 | ||||
Rice late season | 5 | 21 | 1 |