Package 'mrlandcore'

Title: One-line description of this awesome package
Description: One-paragraph description of this awesome package.
Authors: Felicitas Beier [aut, cre], Kristine Karstens [aut], Marcos Alves [aut], Jan Philipp Dietrich [aut], Benjamin Leon Bodirsky [aut], David Hoetten [aut], Florian Humpenoeder [aut], Jens Heinke [aut], Patrick v. Jeetze [aut], Abhijeet Mishra [aut], Felcitas Beier [aut], Stephen Wirth [aut], David Chen [aut], Ulrich Kreidenweis [aut]
Maintainer: Felicitas Beier <[email protected]>
License: LGPL-3
Version: 1.2.0
Built: 2024-12-17 04:43:49 UTC
Source: https://github.com/pik-piam/mrlandcore

Help Index

calcCroparea

Description

Returns harvested areas of individual crops from FAOSTAT. Total harvested areas can be lower or higher than arable land because of multicropping or fallow land. Rice areas are distributed to flooded LUH areas. Additional FAOSTAT rice areas are distributed based on country shares.

Usage

calcCroparea(
  sectoral = "kcr",
  physical = TRUE,
  cellular = FALSE,
  cells = "lpjcell",
  irrigation = FALSE
)

Arguments

sectoral

"area_harvested" returns croparea aggregated to FAO products, "ProductionItem" unaggregated ProdSTAT items, "FoodBalanceItem" Food Balance Sheet categories, "kcr" MAgPIE items, and "lpj" LPJmL items
physical

if TRUE the sum over all crops agrees with the cropland area per country
cellular

if TRUE: calculates cellular MAgPIE crop area for all magpie croptypes. Crop area from LUH2 crop types (c3ann, c4ann, c3per, c4per, cnfx) are mapped to MAgpIE crop types using mappingLUH2cropsToMAgPIEcrops.csv. Harvested areas of FAO weight area within a specific LUH crop type to divide into MAgPIE crop types.
cells

Switch between "magpiecell" (59199) and "lpjcell" (67420)
irrigation

If true: cellular areas are returned separated into irrigated and rainfed (see setup in calcLUH2v2)

Value

areas of individual crops from FAOSTAT and weight

Author(s)

Ulrich Kreidenweis, Kristine Karstens, Felicitas Beier

calcCropareaLandInG

Description

This function uses total physical area and crop-specific harvested area data from LandInG to calculate crop-specific physical and harvested areas considering special rules for the allocation of perennial and annual crops.

Usage

calcCropareaLandInG(
  sectoral = "kcr",
  physical = TRUE,
  cellular = FALSE,
  cells = "magpiecell",
  irrigation = FALSE,
  selectyears = "all",
  lpjml = c(natveg = "LPJmL4_for_MAgPIE_44ac93de", crop =
    "ggcmi_phase3_nchecks_bft_e511ac58"),
  climatetype = "GSWP3-W5E5:historical"
)

Arguments

sectoral

"kcr" MAgPIE items, and "lpj" LPJmL items
physical

if TRUE the sum over all crops plus fallow land (of calcFallowLand) agrees with the physical cropland of readLandInG(subtype = physical)
cellular

if TRUE: calculates cellular crop area for all magpie croptypes. Option FALSE is not (yet) available.
cells

Switch between "magpiecell" (59199) and "lpjcell" (67420)
irrigation

If true: cellular areas are returned separated into irrigated and rainfed
selectyears

extract certain years from the data
lpjml

LPJmL version used to determine multiple cropping suitability
climatetype

Climate scenario or historical baseline "GSWP3-W5E5:historical" used to determine multiple cropping suitability

Value

MAgPIE object with cropareas

Author(s)

David Hoetten, Felicitas Beier

calcFallowLand

Description

Calculates fallow land on grid cell level, based on physical cropland extend and harvested area output of LandInG data. The formula "fallow land are = max( physical cropland area - harvested cropland area, 0)" is used. Due to multiple cropping, harvested cropland area can be greater than non-fallow land area and even greater than physical cropland area. Thus, the results can only be considered a rough estimate of fallow land area.

Usage

calcFallowLand(cellular = TRUE)

Arguments

cellular

TRUE for cellular outputs.

Value

MAgPIE object containing fallow land in Mha

Author(s)

David Hoetten, Felicitas Beier

See Also

readLandInG

Examples

## Not run: 
calcOutput("FallowLand")

## End(Not run)

calcForestArea

Description

Calculates consistent forest area and its subcategories based on FAO_FRA2015 and LanduseInitialisation data.

Usage

calcForestArea(selectyears = "past")

Arguments

selectyears

defaults to past

Value

List of magpie object with results on country level, weight, unit and description.

Author(s)

Kristine Karstens, Jan Philipp Dietrich

Examples

## Not run: 
calcOutput("ForestArea")

## End(Not run)

calcGrassGPP

Description

Calculates gross primary production (GPP) of grassland under irrigated and rainfed conditions based on LPJmL inputs.

Usage

calcGrassGPP(selectyears, lpjml, climatetype, season)

Arguments

selectyears

Years to be returned
lpjml

LPJmL version required for respective inputs: natveg or crop
climatetype

Switch between different climate scenarios or historical baseline "GSWP3-W5E5:historical"
season

"wholeYear": grass GPP in the entire year (main + off season) "mainSeason": grass GPPP in the crop-specific growing period of LPJmL (main season)

Value

magpie object in cellular resolution

Author(s)

Felicitas Beier

Examples

## Not run: 
calcOutput("GrassGPP", aggregate = FALSE)

## End(Not run)

calcGrowingPeriodMonths

Description

Calculates which gridcell-specific months in which growing conditions are favorable for crop growth based on monthly grass GPP

Usage

calcGrowingPeriodMonths(selectyears, lpjml, climatetype, minThreshold = 100)

Arguments

selectyears

Years to be returned
lpjml

LPJmL version required for respective inputs: natveg or crop
climatetype

Switch between different climate scenarios or historical baseline "GSWP3-W5E5:historical"
minThreshold

Threshold of monthly grass GPP to be classified as growing period month Unit of the threshold is gC/m^2. Default: 100gC/m^2 Note: the default value is chosen based on LPJmL version 5 to reflect multiple cropping suitability as shown in GAEZ-4. An update of LPJmL5 with regards to grass management may require an adjustment of the threshold.

Value

magpie object in cellular resolution

Author(s)

Felicitas Beier, Jens Heinke

Examples

## Not run: 
calcOutput("GrowingPeriodMonths", aggregate = FALSE)

## End(Not run)

calcLanduseInitialisation

Description

Calculates the cellular MAgPIE landuse initialisation area. Data from FAO on forestry is used to split the secondary forest pool of the LU2v2 dataset into forestry and secd_forest.

Usage

calcLanduseInitialisation(
  cellular = FALSE,
  nclasses = "seven",
  cells = "lpjcell",
  selectyears = "past",
  input_magpie = FALSE
)

Arguments

cellular

cellular (TRUE) or country-level/regional (FALSE) data? For country-level vs regional data: remember to set "aggregate" to FALSE.
nclasses

options are either "six", "seven" or "nine".

  • "six" includes the original land use classes "crop", "past", "forestry", "forest", "urban" and "other"

  • "seven" separates primary and secondary forest and includes "crop", "past", "forestry", "primforest", "secdforest", "urban" and "other"

  • "nine" adds the separation of pasture and rangelands, as well as a differentiation of primary and secondary non-forest vegetation and therefore returns "crop", "past", "range", "forestry", "primforest", "secdforest", "urban", "primother" and "secdother"

cells

if cellular is TRUE: "magpiecell" for 59199 cells or "lpjcell" for 67420 cells
selectyears

default on "past"
input_magpie

applies area fix (set cells with zero area to minimal value to not disturb aggregating to clusters)

Value

List of magpie object with results on country or cellular level, weight on cellular level, unit and description.

Author(s)

Jan Philipp Dietrich, Benjamin Leon Bodirsky, Kristine Karstens, Felcitas Beier, Patrick v. Jeetze

Examples

## Not run: 
calcOutput("LanduseInitialisation")

## End(Not run)

calcLanduseInitialisationBase

Description

Calculates the cellular MAgPIE landuse initialisation area. Data from FAO on forestry is used to split the secondary forest pool of the LU2v2 dataset into forestry and secd_forest. This function returns the data set in a basic configuration. Use calcLanduseInitialisation for more settings.

Usage

calcLanduseInitialisationBase(cells = "lpjcell", selectyears = "past")

Arguments

cells

"magpiecell" for 59199 cells or "lpjcell" for 67420 cells
selectyears

Years to be computed (default on "past")

Value

Cellular landuse initialisation in its base configuration

Author(s)

Jan Philipp Dietrich, Benjamin Leon Bodirsky, Kristine Karstens, Felcitas Beier, Patrick v. Jeetze

Examples

## Not run: 
calcOutput("LanduseInitialisationBase")

## End(Not run)

calcLPJmL_new

Description

Handle LPJmL data and its time behaviour (smoothing and harmonizing to baseline)

Usage

calcLPJmL_new(
  version = "LPJmL4_for_MAgPIE_44ac93de",
  climatetype = "MRI-ESM2-0:ssp370",
  subtype = "soilc",
  subdata = NULL,
  stage = "harmonized2020"
)

Arguments

version

Switch between LPJmL versions (including addons for further version specification)
climatetype

Switch between different climate scenarios
subtype

Switch between different lpjml input as specified in readLPJmL
subdata

Switch between data dimension subitems
stage

Degree of processing: raw, smoothed - raw or smoothed data from 1930|1951 raw1901, smoothed1901 - raw or smoothed data from 1901 harmonized, harmonized2020 - based on toolLPJmLVersion

Value

List of magpie objects with results on cellular level, weight, unit and description.

Author(s)

Kristine Karstens, Felicitas Beier

See Also

[readLPJmL()]

Examples

## Not run: 
calcOutput("LPJmL_new", subtype = "soilc", aggregate = FALSE)

## End(Not run)

calcLPJmL4

Description

Handle LPJmL data and its time behaviour (averaging, approximation, harmonizing to baseline)

Usage

calcLPJmL4(
  version = "LPJmL4",
  climatetype = "CRU_4",
  subtype = "soilc",
  subdata = NULL,
  time = "raw",
  averaging_range = NULL,
  dof = NULL,
  harmonize_baseline = FALSE,
  ref_year = "y2015",
  limited = TRUE,
  hard_cut = FALSE,
  selectyears = "all"
)

Arguments

version

Switch between LPJmL4 and LPJmL4
climatetype

Switch between different climate scenarios (default: "CRU_4")
subtype

Switch between different lpjml input as specified in readLPJmL
subdata

Switch between data dimension subitems
time

average, spline or raw (default)
averaging_range

just specify for time=="average": number of time steps to average
dof

just specify for time=="spline": degrees of freedom
harmonize_baseline

FALSE (default) nothing happens, if a baseline is specified here data is harmonized to that baseline (from ref_year on)
ref_year

just specify for harmonize_baseline != FALSE : Reference year
limited

just specify for harmonize_baseline != FALSE : if TRUE limited approached is used
hard_cut

just specify for harmonize_baseline != FALSE : use hard cut instead of multiplicative factor
selectyears

defaults to all years available

Value

List of magpie objects with results on cellular level, weight, unit and description.

Author(s)

Kristine Karstens, Felicitas Beier

calcLPJmLClimateInput_new

Description

Handle LPJmL climate input data and its time behaviour (smoothing and harmonizing to baseline)

Usage

calcLPJmLClimateInput_new(
  climatetype = "MRI-ESM2-0:ssp370",
  variable = "temperature:annualMean",
  stage = "harmonized2020",
  lpjmlVersion = "LPJmL4_for_MAgPIE_44ac93de"
)

Arguments

climatetype

Switch between different climate scenario
variable

Switch between different climate inputs and temporal resolution
stage

Degree of processing: raw, smoothed - raw or smoothed data from 1930|1951 raw1901, smoothed1901 - raw or smoothed data from 1901 harmonized, harmonized2020 - based on toolLPJmLVersion
lpjmlVersion

LPJmL Version hand over

Value

magpie object in cellular resolution

Author(s)

Marcos Alves, Kristine Karstens, Felicitas Beier

Examples

## Not run: 
calcOutput("LPJmLClimateInput_new",
           climatetype = "MRI-ESM2-0:ssp370",
           variable = "temperature:annualMean")

## End(Not run)

calcLUH2MAgPIE

Description

Calculates the real aggregation of LUH croptypes to MAgPIE croptypes out of LUH2FAO and FAO2MAgPIE mappings

Usage

calcLUH2MAgPIE(
  share = "total",
  bioenergy = "ignore",
  rice = "non_flooded",
  selectyears = "past",
  missing = "ignore"
)

Arguments

share

total (for total numbers), LUHofMAG (for share of LUH within kcr types), MAGofLUH (for share of kcr within LUH types)
bioenergy

"ignore": 0 for share and totals, "fix": fixes betr and begr shares in LUHofMAG to 1 for c3per and c4per
rice

rice category: "non_flooded" or "total"
selectyears

years to be returned (default: "past")
missing

"ignore" will leave data as is, "fill" will add proxy values for data gaps of FAO

Value

List of magpie objects with results on country level, weight on country level, unit and description

Author(s)

Kristine Karstens, Felicitas Beier

Examples

## Not run: 
calcOutput("LUH2MAgPIE")

## End(Not run)

calcLUH2v2

Description

Integrates the LUH2v2 landuse-dataset

Usage

calcLUH2v2(
  landuse_types = "magpie",
  irrigation = FALSE,
  cellular = FALSE,
  cells = "lpjcell",
  selectyears = "past"
)

Arguments

landuse_types

magpie: magpie landuse classes, LUH2v2: original landuse classes flooded: flooded areas as reported by LUH
irrigation

if true: areas are returned separated by irrigated and rainfed, if false: total areas
cellular

if true: dataset is returned on 0.5 degree resolution
cells

Switch between "magpiecell" (59199) and "lpjcell" (67420) NOTE: This setting also affects the sums on country level!
selectyears

years to be returned (default: "past")

Value

List of magpie objects with results on country level, weight on country level, unit and description

Author(s)

Benjamin Leon Bodirsky, Florian Humpenoeder, Jens Heinke, Felicitas Beier

See Also

[calcLanduseInitialisation()]

Examples

## Not run: 
calcOutput("LUH2v2")

## End(Not run)

calcMulticropping

Description

calculates a multiple cropping factor based on area harvested, physical cropland area (and optionally fallow land).

Usage

calcMulticropping(extend_future = FALSE, factortype = "CI")

Arguments

extend_future

if TRUE
factortype

CI: cropping intensity factor calculated as ratio of harvested to physical area where values above one indicate multicropping, below one fallow land (default) MC: multiple cropping factor indicating areas that are harvested more than once in one year calculated taking fallow land into account explicitly: harvestedArea / (physicalArea - fallowLand)

Value

List of magpie objects with results on country level, weight on country level, unit and description.

Author(s)

Benjamin Leon Bodirsky, David Chen, Felicitas Beier

See Also

[calcFAOLand()], [calcCroparea()]

Examples

## Not run: 
calcOutput("Multicropping")

## End(Not run)

calcMulticroppingSuitability

Description

Calculates which grid cells are potentially suitable for multiple cropping activities under rainfed and irrigated conditions. Calculation is based on the length of the growing period determined by monthly grassland gross primary production (GPP).

Usage

calcMulticroppingSuitability(
  selectyears,
  lpjml,
  climatetype,
  suitability = "endogenous",
  sectoral = "kcr"
)

Arguments

selectyears

Years to be returned
lpjml

LPJmL version required for respective inputs: natveg or crop
climatetype

Switch between different climate scenarios or historical baseline "GSWP3-W5E5:historical"
suitability

"endogenous": suitability for multiple cropping determined by rules based on grass and crop productivity "exogenous": suitability for multiple cropping given by GAEZ data set
sectoral

"kcr" MAgPIE crops, and "lpj" LPJmL crops

Value

magpie object in cellular resolution

Author(s)

Felicitas Beier, Jens Heinke

Examples

## Not run: 
calcOutput("MulticroppingSuitability", aggregate = FALSE)

## End(Not run)

calcMultipleCroppingZones

Description

This function returns multiple cropping zones at 0.5 degree resolution

Usage

calcMultipleCroppingZones(layers = 2)

Arguments

layers

8 for original GAEZ layers, 3 for aggregated multiple cropping zones with 1 = single cropping, 2 = double cropping, 3 = triple cropping 2 for aggregated boolean multicropping potential with 0 = no multicropping (single cropping), 1 = multiple cropping

Value

magpie object in cellular resolution

Author(s)

Felicitas Beier

Examples

## Not run: 
calcOutput("MultipleCroppingZones", layers = 3, aggregate = FALSE)

## End(Not run)

calcRicearea

Description

calculates rice area based on LUH flooded areas and physical rice areas reported by FAOSTAT.

Usage

calcRicearea(cellular = FALSE, cells = "lpjcell", share = TRUE)

Arguments

cellular

If TRUE: calculates cellular rice area
cells

Switch between "magpiecell" (59199) and "lpjcell" (67420)
share

If TRUE: non-flooded share is returned. If FALSE: rice area (flooded, non-flooded, total) in Mha is returned

Value

rice areas or rice area shares of flooded and non-flooded category

Author(s)

Felicitas Beier, Kristine Karstens

convertLPJmL4

Description

Convert LPJmL content

Usage

convertLPJmL4(x)

Arguments

x

magpie object provided by the read function

Value

List of magpie objects with results on cellular level, weight, unit and description.

Author(s)

Kristine Karstens

See Also

[readLPJmL()]

Examples

## Not run: 
readSource("LPJmL4", subtype = "soilc", convert = TRUE)

## End(Not run)

correctGAEZv4

Description

Correct Global Agro-ecological Zones (GAEZ) data

Usage

correctGAEZv4(x)

Arguments

x

MAgPIE object provided by readGAEZv4 function

Value

MAgPIE object at 0.5 cellular level

Author(s)

Felicitas Beier

Examples

## Not run: 
readSource("GAEZv4", convert = "onlycorrect")

## End(Not run)

correctLandInG

Description

correct LandInG data. Convert unit from ha to mio ha

Usage

correctLandInG(x)

Arguments

x

magpie object provided by the read function

Value

corrected magpie object

Author(s)

David Hoetten, Felicitas Beier

See Also

readLandInG

Examples

## Not run: 
a <- readSource("LandInG", convert = "onlycorrect")

## End(Not run)

correctLPJmL_new

Description

Convert LPJmL content (dummy function)

Usage

correctLPJmL_new(x)

Arguments

x

magpie object provided by the read function

Author(s)

Kristine Karstens

See Also

[readLPJmL_new()]

Examples

## Not run: 
readSource("LPJmL_new", convert = "onlycorrect")

## End(Not run)

correctLPJmL4

Description

Correct LPJmL4 content

Usage

correctLPJmL4(x)

Arguments

x

magpie object provided by the read function

Value

List of magpie objects with results on cellular level, weight, unit and description.

Author(s)

Kristine Karstens, Felicitas Beier

See Also

[correctLPJmL4()]

Examples

## Not run: 
readSource("LPJmL4", subtype = "soilc", convert = "onlycorrect")

## End(Not run)

correctLPJmLClimateInput_new

Description

Correct LPJmL climate input variables

Usage

correctLPJmLClimateInput_new(x)

Arguments

x

magpie object provided by the read function

Value

Magpie objects with results on cellular level, weight, unit and description.

Author(s)

Marcos Alves, Felicitas Beier

See Also

readLPJmLClimateInput_new

Examples

## Not run: 
readSource("LPJmLClimateInput_new", subtype, convert="onlycorrect")

## End(Not run)

correctLPJmLInputs

Description

correct LPJmLInputs content (dummy function)

Usage

correctLPJmLInputs(x)

Arguments

x

magpie object provided by the read function

Author(s)

Felicitas Beier

Examples

## Not run: 
readSource("LPJmLInputs", convert = "onlycorrect")

## End(Not run)

correctLUH2v2

Description

Correct LUH2v2 content

Usage

correctLUH2v2(x, subtype)

Arguments

x

magpie object provided by the read function
subtype

switch between different inputs

Value

List of magpie object with results on cellular level

Author(s)

Florian Humpenoeder, Stephen Wirth, Kristine Karstens, Felicitas Beier, Jan Philipp Dietrich, Edna J. Molina Bacca

downloadLPJmL_new

Description

Download LPJmL content by version, climate model and scenario

Usage

downloadLPJmL_new(
  subtype = "LPJmL4_for_MAgPIE_44ac93de:GSWP3-W5E5:historical:soilc"
)

Arguments

subtype

Switch between different input It consists of LPJmL version, climate model, scenario and variable. For pasture lpjml runs, the scenario variable is used to navigate the output folder structure (e.g. 'LPJmL4_for_MAgPIE_3dda0615:GSWP3-W5E5:historical:soilc' or "LPJmL5.2_Pasture:IPSL_CM6A_LR:ssp126_co2_limN_00:soilc_past_hist")

Value

metadata entry

Author(s)

Kristine Karstens, Marcos Alves, Felicitas Beier

Examples

## Not run: 
readSource("LPJmL_new", convert = FALSE)

## End(Not run)

downloadLPJmLClimateInput_new

Description

Download GCM climate input used for LPJmL runs

Usage

downloadLPJmLClimateInput_new(
  subtype = "ISIMIP3bv2:MRI-ESM2-0:ssp370:temperature"
)

Arguments

subtype

Switch between different inputs (e.g. "ISIMIP3b:IPSL-CM6A-LR:historical:1850-2014:temperature") Argument consists of GCM version, climate model, scenario and variable, separated by ":"

Value

metadata entry

Author(s)

Marcos Alves, Kristine Karstens

Examples

## Not run: 
readSource("LPJmLClimateInput_new", convert = "onlycorrect")

## End(Not run)

readGAEZv4

Description

Read in data from the Global Agro-ecological Zones (GAEZ) data set version 4

Usage

readGAEZv4(subtype = "MCzones")

Arguments

subtype

Subtype to be read

Value

MAgPIE object at 0.5 cellular level

Author(s)

Felicitas Beier

Examples

## Not run: 
readSource("GAEZv4", convert = "onlycorrect")

## End(Not run)

readLandInG

Description

Reads in LandInG data

Usage

readLandInG(subtype = "physicalArea")

Arguments

subtype

Type of LandInG data that should be read:

  • physicalArea: Cropland extend/ physical cropping area separated in irrigated and rainfed

  • harvestedArea: Harvested area separated in different crop types

Value

magpie object

Author(s)

Felicitas Beier

See Also

readSource

Examples

## Not run: 
A <- readSource("LandInG", subtype = "harvestedArea", aggregate = FALSE)

## End(Not run)

readLPJmL_new

Description

Read in LPJmL outputs

Usage

readLPJmL_new(
  subtype = "LPJmL4_for_MAgPIE_44ac93de:GSWP3-W5E5:historical:soilc"
)

Arguments

subtype

Switch between different inputs (eg. "LPJmL5.2_Pasture:IPSL_CM6A_LR:ssp126_co2_limN_00:soilc_past_hist")

Value

List of magpie objects with results on cellular level, weight, unit and description.

Author(s)

Kristine Karstens, Abhijeet Mishra, Felicitas Beier, Marcos Alves

See Also

[readLPJ()]

Examples

## Not run: 
readSource("LPJmL_new", convert = FALSE)

## End(Not run)

readLPJmL4

Description

Read LPJmL content

Usage

readLPJmL4(subtype = "LPJmL5:CRU4p02.soilc")

Arguments

subtype

Switch between different input

Value

List of magpie objects with results on cellular level, weight, unit and description.

Author(s)

Kristine Karstens, Abhijeet Mishra, Felicitas Beier

Examples

## Not run: 
readSource("LPJmL4", subtype = "LPJmL5:CRU4p02.soilc", convert = "onlycorrect")

## End(Not run)

readLPJmLClimateInput_new

Description

Read Climate data used as LPJmL inputs into MAgPIE objects

Usage

readLPJmLClimateInput_new(
  subset = "annualMean",
  subtype = "ISIMIP3bv2:MRI-ESM2-0:ssp370:temperature"
)

Arguments

subset

Switch between different subsets of the same subtype Available options are: "annualMean", "annualSum", "monthlyMean", "monthlySum", "wetDaysMonth" Note that not all subtype-subset combinations make sense
subtype

Switch between different inputs, e.g. "ISIMIP3bv2:MRI-ESM2-0:ssp370:1850-2014:tas" Available variables are: * tas - * wet - * per -

Value

MAgPIE objects with results on cellular level.

Author(s)

Marcos Alves, Kristine Karstens, Felicitas Beier

See Also

readLPJmLClimateInput_new

Examples

## Not run: 
readSource("LPJmLClimateInput_new", subtype, convert = "onlycorrect")

## End(Not run)

readLPJmLInputs

Description

This function reads in LPJmL inputs (inputs to LPJmL)

Usage

readLPJmLInputs(subtype = "lakeshare")

Arguments

subtype

Switch between different inputs

Value

List of magpie objects with results on cellular level, weight, unit and description.

Author(s)

Felicitas Beier

Examples

## Not run: 
readSource("LPJmLInputs", subtype = "lakeshare", convert = FALSE)

## End(Not run)

readLUH2v2

Description

read LUH inputs

Usage

readLUH2v2(subtype)

Arguments

subtype

switch between different inputs

Value

List of magpie objects with results on cellular level, weight, unit and description

Author(s)

Florian Humpenoeder, Stephen Wirth, Kristine Karstens, Felicitas Beier, Jan Philipp Dietrich, Patrick v. Jeetze

toolClimateInputVersion

Description

Specify default settings for LPJmL climate input version and baseline settings

Usage

toolClimateInputVersion(lpjmlVersion, climatetype)

Arguments

lpjmlVersion

Add-ons (+*) for further version specification for LPJmL version
climatetype

Switch between different climate scenarios

Value

configuration as list

Author(s)

Kristine Karstens

toolForestRelocate

Description

Reallocates cellular forest information from LUH2 to better match FAO forest information

Usage

toolForestRelocate(lu, luCountry, natTarget, vegC)

Arguments

lu

uncorrected landuse initialisation data set (cell level)
luCountry

uncorrected landuse initialisation on country level
natTarget

target natural land allocation on country level
vegC

vegetation carbon data used as reallocation weight

Value

List of magpie object with results on cellular level

Author(s)

Kristine Karstens, Jan Philipp Dietrich, Felicitas Beier, Patrick v. Jeetze

toolLPJmLVersion

Description

Specify default settings for LPJmL version and baseline settings

Usage

toolLPJmLVersion(version, climatetype)

Arguments

version

Switch between LPJmL versions (including add-ons (+*) for further version specification)
climatetype

Switch between different climate scenarios

Value

configuration as list

Author(s)

Kristine Karstens