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A total of 26 indicators are provided, covering the global land area at the spatial resolution of 0.5°x0.5° lat-lon grid. A brief review of the agroclimatic indicators provided by C3S global agrilculture SIS is given in tables below:

DATA DESCRIPTION


Horizontal coverage

Global

Horizontal resolution

0.5° x 0.5°

Temporal coverage

1951 to 2099

Temporal resolution

Dekad (10 daily) Seasonal
Yearly

Seasonal

netCDF-4

Yearly

Grid


MAIN VALRIABLES



Variable

Description

Units

CDD

Maximum number of consecutive dry days (Drought spell)

day

CFD

Maximum number of consecutive frost days (Cold spell)

day

CSDI

Cold-spell duration index

day

WSDI

Warm-spell duration index

day

CSU

Maximum number of consecutive summer days (Hot spell)

day

CWD

Maximum number of consecutive wet days (Wet spell)

day

WW

Warm and wet days

day

DTR

Mean of diurnal temperature range

°C

BEDD

Biologically Effective Degree Days

°C

GSL

Growing Season Length

day

FD

Frost Days

day

ID

Ice Days

day

R10mm

Heavy precipitation days

day

R20mm

Very heavy precipitation days

day

RR

Precipitation sum

mm

RR1

Wet Days

day

SDII

Simple daily intensity index

mm

SU

Summer days

day

TG

Mean of daily mean temperature

K

TN

Mean of daily minimum temperature

K

TNn

Minimum value of the daily minimum Temperature

K

TNx

Maximum value of the daily minimum temperature

K

TR

Tropical nights

day

TX

Mean of daily maximum temperature

K

TXn

Minimum value of daily maximum temperature

K

TXx

Maximum value of daily maximum temperature

K

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3. Generic Agroclimatic Indicators
3. Generic Agroclimatic Indicators
Generic Agroclimatic Indicators

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table1
table1
Table 1: Availability of ISIMIP Fast Track climate datasets

Climate Model

Scenario

Historical

rcp26

rcp45

rcp60

rcp85

GFDL-ESM2M


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HadGEM2-ES


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IPSL-CM5A-LR


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MIROC-ESM-CHEM


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NorESM1-M


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Agricultural indicators have been pre-calculated for this complete matrix of GCM/RCP combinations.

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table2
table2
Table 2: List of agroclimatic indicators, their description and general application in agriscience

Acronym

Description

Application


CDD

Maximum number of consecutive dry days
(Drought spell)

Drought monitoring, drought damage indicator


CFD

Maximum number of consecutive frost days
(Cold spell)


General frost damage indicator

CSDI

Cold-spell duration index

Provides information on reduced
blossom formation or reduced growth


WSDI


Warm-spell duration index

Provide an indication concerning the occurrence of heat stress on reduced
blossom formation or reduced growth.


CSU

Maximum number of consecutive summer days
(Hot spell)

Provides information on
heat stress or on optimal growth for C4
crops (e.g. maize)

CWD

Maximum number of consecutive
wet days (Wet spell)

Provides information on drought/oxygen
stress/ crop growth (i.e. less radiation interception during rainy days)

WW

Warm and wet days

Provide an indication of occurrence of various pests insects and especially fungi Provides an indication concerning the crop development, especially leave
formation.


DTR


Mean of diurnal temperature range

Provides information on climate variability and change. Also serves as the proxy for information on the clarity
(transmittance) of the atmosphere


BEDD*)


Biologically Effective Degree Days

Determines crop development stages/rates. Crop development will decelerate/accelerate below and above
certain threshold temperatures.

GSL

Growing Season Length

Provides an indication whether a crop or a combination of crops can be sown and subsequently reach maturity within a
certain time frame

FD

Frost Days

Provides information on frost damage

ID

Ice Days

Provides information on frost damage

R10mm

Heavy precipitation days

Provides information on crop damage
and runoff losses

R20mm

Very heavy precipitation days

Provides information on crop damage
and runoff losses

RR

Precipitation sum

Provides information on possible water
shortage or excess.

RR1

Wet Days

Provides information on intercepted
reduction

SDII

Simple daily intensity index

Provides information on possible run off
losses.



SU*)



Summer days

Provide an indication concerning the occurrence of heat stress. Also base for crop specific variants for heat/cold stress (above/below the crop specific
optimal temperature thresholds)

TG

Mean of daily mean temperature

Provides information on long-term
climate variability and change

TN

Mean of daily minimum temperature

Provides information on long-term
climate variability and change

TNn

Minimum value of the daily minimum
Temperature

Provides information on long-term
climate variability and change

TNx

Maximum value of the daily
minimum temperature

Provides information on long-term
climate variability and change

TR

Tropical nights

Provide an indication of occurrence of various pests.

TX

Mean of daily maximum temperature

Provides information on long-term
climate variability and change

TXn

Minimum value of daily maximum
temperature

Provides information on long-term
climate variability and change

TXx

Maximum value of daily maximum
temperature

Provides information on long-term
climate variability and change

*) these indicators have been pre-calculated for the range of threshold temperatures

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table3
table3
Table 3: Climate periods covered by gridded datasets for each indicator

Start

End

Available Indicators

1951

1980

1 historical run from each of 5 GCMs (note 1950 is disregarded)

1981

2010

1 historical run from each of 5 GCMs (respective RCP8.5 data from the model is used for 2005-2010)

1 historical observational from WFDEI

2011

2040

4 RCP scenarios for each of 5 GCMS

2041

2070

4 RCP scenarios for each of 5 GCMS

2071

2099

4 RCP scenarios for each of 5 GCMS

Therefore for each agroclimatic indicator in Table 2, there are 71 netCDF files available as follows:

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Crop maps give for each pixel the number of hectares under that crop. The maps are representative for the situation around 2005. This leads to eight NETCDF variables, presented in the table below.
From the original SPAM database 2 'variables' and 4 'technologies' have been retained. SPAM data have a resolution of 5', so we summed the data over each set of 6x6 original grid boxes to come to the 0.5o grid boxes in our set.

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table4
table4
Table 4: Map variables available for each crop

Variable

Description

area_rs_h

harvested area, rainfed, subsistence

area_rs_p

physical area, rainfed, subsistence

area_rh_h

harvested area, rainfed, high input

area_rh_p

physical area, rainfed, high input

area_rl_h

harvested area, rainfed, low input

area_rl_p

physical area, rainfed, low input

area_ir_h

harvested area, irrigated

area_ir_p

physical area, irrigated

Harvested area can be larger or smaller than physical area; larger implies that some form of double cropping is present; smaller implies that not all area suitable for the crop is actually planted / harvested. Please refer to http://mapspam.info/ for more information.

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table5
table5
Table 5: Cropping calendars variables avialable for each crop

Variable

Description

sow_a

average sowing/planting dekad

sow_e

early sowing/planting dekad

sow_l

late sowing/planting dekad

har_a

average harvest dekad

har_e

early harvest dekad

har_l

late harvest dekad

FAO-GAEZ data have a resolution of 5', so we aggregated the data over each set of 6x6 original grid boxes to come to the 0.5o grid boxes in our set. For early sowing/harvest we took the minimum value found in the 6x6 boxes, for late sowing harvest the maximum value found, and for average sowing/harvest the rounded average of all 36 values.

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table6
table6
Table 6: MegaEnvironment numbers available for each crop

Crop

ME number

Reference

Wheat

12 (6 spring wheat; 3 facultative; 3 winter wheat)

Braun et al. 2010

Maize

8 (6 tropical, 2 temperate)

Bellon et al. 2005

Rice

7 (4 irrigated, 2 rainfed, 1 deep water); however, no publicly available maps have been found

?

Soybean

6 (question); however, no publicly available maps have been found

?

Each crop/ME combination is specified by clearly defined set of climate requirements or climate suitability criteria. These are given in the following table.

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table7
table7
Table 7: MegaEnvironment criteria for each crop

ME number

Wheat

Maize

ME1

spring wheat, temperate, irrigated, low latitude;

3 < TN < 11C, lat < 40

tropical wet, upper mid altitude;

24 < TX < 28C, P > 600 mm,
1600 < alt < 2000 masl

ME2

spring wheat, temperate, wet, low latitude;

3 < TN <16C, P > 500 mm, lat <
40

tropical wet, lower mid altitude;

28 < TX < 30C, P > 600 mm,
1200<alt<1600 masl

ME3

spring wheat, temperate, wet, acid soil, low latitude;

C, P > 500 mm, lat < 40

tropical dry, mid altitude;

24 < TX < 30C, 350 < P < 600
mm, 1200 < alt < 2000 masl

ME4

spring wheat, tropical dry, low latitude;

TGN > 17.5 C, 200 < P < 500
mm, lat < 40

tropical wet, low altitude;

TX > 30C, P > 800 mm, alt <
1200 masl

ME5

spring wheat, tropical, irrigated, low latitude;

TGN > 17.5 C, lat < 40

tropical dry, low altitude;

TX > 30C, 350 < P < 800 mm, alt
< 1200 masl

ME6

spring wheat, temperate, dry, high latitude;

T C, 200 < P < 500 mm, lat > 45

tropical, high altitude;

18 < TX < 24C, P > 350 mm, alt
> 2000 masl

ME7

facultative wheat, cool temperate, irrigated, mid latitude;

-2 < TN < 3C coolest quarter, 35 < lat < 50

temperate wet, low altitude;

26 < TX < 34C, P > 600 mm, alt
< 1500 masl

ME8

facultative wheat, cool temperate, wet, mid latitude;

-1 < TN < 6C coolest quarter, P
> 500 mm, 35 < lat < 50

temperate dry, low altitude;

26 < TX < 36C, 300 < P < 600
mm, alt < 1500 masl

ME9

facultative wheat, cool temperate, dry, mid latitude;

-2 < TN < 3C coolest quarter, 200 < P < 500 mm, 35 < lat < 50


ME10

winter wheat, cold temperate, irrigated, high latitude;

-13 < TN < -2C coolest quarter, lat > 45


ME11

winter wheat, cold temperate, wet, high latitude

-13 < TN < 1C coolest quarter, P
> 500 mm, lat > 45


ME12

winter wheat, cold temperate, dry, high latitude;

-13 < TN < 1C coolest quarter, 200 < P < 500 mm, lat > 45


At a next level, the benchmark cultivar for each crop/ME combination should be specified by a set of generic crop model parameters. These include thermal requirements for each major phenological development stage, optimal climatic growing conditions, thresholds for hot/cold stress, etc. No publicly available data of any consistency have been found, so parameters for each of these ME are not provided in our NETCDF files. Nevertheless we have chosen to retain the maps, for those knowledgeable to use them wisely.

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table8
table8
Table 8: Parameters used for thermal requirement calculation for each crop

Crop

Base temperature for BEDD

ratio TSUM1/(TSUM1+TSUM2)

Winter wheat

0

0.5

Spring wheat

0

0.4

Maize

6

0.5

Rice

8

0.7

Soybean

8

0.3

Thus for each crop the following thermal requirements have been defined:

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table9
table9
Table 9: Thermal requirement variables available for each crop

Variable

Description

tsumEA

temperature sum from emergence to anthesis

tsumAM

temperature sum from anthesis to maturity

tsumEM

temperature sum from emergence to maturity




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4.6. Crop files
4.6. Crop files
Crop files

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