Impact model: LPJmL5-7-10-fire

NBP averaged over 1990-1999: -0.01 PgC/yr (20crv3), 0.39 PgC/yr (20crv3-era5), 0.72 PgC/yr (20crv3-w5e5), 0.57 PgC/yr (gswp3-w5e5)

ISIMIP3b
ISIMIP3a

Person responsible for model simulations in this simulation round

Sebastian Ostberg: ostberg@pik-potsdam.de, 0000-0002-2368-7015, Potsdam Institute for Climate Impact Research (Germany)

Person responsible for model simulations in this simulation round

Sebastian Ostberg: ostberg@pik-potsdam.de, 0000-0002-2368-7015, Potsdam Institute for Climate Impact Research (Germany)

Output Data

Experiments: (*) obsclim_histsoc_default, obsclim_1901soc_default, obsclim_2015soc_1901co2, counterclim_2015soc_default, counterclim_histsoc_default, obsclim_2015soc_nowatermgt, counterclim_nat_default, obsclim_1901soc_1901co2, obsclim_2015soc_default, obsclim_nat_default, obsclim_histsoc_1901co2, obsclim_histsoc_nowatermgt, counterclim_1901soc_default
Climate Drivers: 20CRV3, 20CRV3-ERA5, 20CRV3-W5E5, GSWP3-W5E5
Date: 2024-01-23

Basic information

Model Version: 5.7.10-fire

Model Output License: CC0

Model License: AGPL-3.0 license

Resolution

Spatial aggregation: regular grid

Horizontal resolution: 0.5°x0.5°

Vertically resolved: Yes

Number of vertical layers: 5 hydrologically active soil layers

Additional spatial aggregation & resolution information: We use a mask prescribing the continental fraction of each cell. Use provided "cellarea" and "contfrac" outputs to determine continental area used to convert water volumes to mass per area.

Temporal resolution of input data: climate variables: daily

Temporal resolution of input data: co2: annual

Temporal resolution of input data: land use/land cover: annual

Temporal resolution of input data: soil: constant

Input data

Observed atmospheric climate data sets used: GSWP3-W5E5 (ISIMIP3a), 20CRv3, 20CRv3-ERA5, 20CRv3-W5E5

Emissions data sets used: Atmospheric composition (ISIMIP3a)

Socio-economic data sets used: National, gridded historical population

Land use data sets used: Historical, gridded land use

Other human influences data sets used: Reservoirs & dams, N-deposition, N-Fertilizer (ISIMIP3a), Water abstraction for domestic and industrial uses

Other data sets used: Lightning, Drainage direction map for river routing

Additional input data sets: Lake area fraction based on GLWD, modified version of GGCMI phase 3 crop calendar, CRU land-sea mask (corresponds to ISIMIP landseamask_water-global except for 1 cell), continental fraction based on GADM, soil data based on HWSD

Climate variables: huss, sfcWind, tasmax, tas, tasmin, rsds, pr

Additional information about input variables: long wave net radiation calculated from long wave downwelling radiation and mean temperature

Exceptions to Protocol

Exceptions: Landuse input provided by ISIMIP was extended further back in time for model spinup in "histsoc" experiments to avoid artefacts of long-running constant landuse. "1901soc" and "2015oc" experiments used constant landuse also for spinup as prescribed by protocol.

Spin-up

Was a spin-up performed?: Yes

Spin-up design: First spinup without any human forcing for 3500 years followed by transitional run of 400 years with human forcing (either constant (1901soc, 2015soc), or transient (histsoc) or no human forcing (nat)). No-fire sensitivity experiment also does not use fire during spinup and transitional run. "nowatermgt" transitional run also does not include water management.

Natural Vegetation

Natural vegetation partition: Dynamic vegetation composition for natural vegetation

Natural vegetation dynamics: Bioclimatic limits determine whether PFTs can establish. Established PFTs compete for light, water and nitrogen and are also affected by disturbance, e.g. fire.

Soil layers: From top to bottom: 20 cm, 30 cm, 50 cm, 100 cm, 100 cm.

Management & Adaptation Measures

Management: Prescribed (constant) sowing dates and prescribed PHU requirements (transient over time) for annual crops. N fertilizer application according to ISIMIP input. Irrigation possible on irrigated areas according to landuse input and based on dynamically calculated irrigation requirements and water availability. Effects of tillage on croplands included in simulations. Prescribed constant livestock density on pastures. Note: Landuse fractions in ISIMIP input refer to the grid area and have been rescaled based on our continental area fraction mask.

Extreme Events & Disturbances

Key challenges: No effects of pests or water logging. Fire disturbance simulated on natural vegetation and pastures. No fires on cropland. Frost damage possible for annual crops.

Technological Progress

Technological progress: no

Soil

Soil layers: 5 hydrologically active soil layers, from top to bottom: 20 cm, 30 cm, 50 cm, 100 cm, 100 cm; same soil texture in all layers, but hydraulic properties affected by soil organic matter content in each layer

Water Use

Water-use types: Irrigation determined endogenously, other water uses (industry, domestic) using prescribed water consumption provided by ISIMIP

Water-use sectors: Irrigation determined endogenously, other water uses (industry, domestic) using prescribed water consumption provided by ISIMIP

Routing

Runoff routing: Continuity equation derived from linear reservoir model

Routing data: DDM30

Land Use

Land-use change effects: Land-use input as provided by ISIMIP used, however rescaled accounting for continential fraction of each cell.

Dams & Reservoirs

Dam and reservoir implementation: Reservoirs collect water from the river system for distribution to connected irrigation areas. Evaporation from reservoir surface is calculated. Minimum release for environmental flow.

Calibration

Was the model calibrated?: No

Vegetation

Is co2 fertilisation accounted for?: Yes

How is vegetation represented?: Dynamic simulation of growth and productivity (with prescribed spatial distribution of crops and pasture); dynamic vegetation composition on nat. veg. areas

Methods

Potential evapotranspiration: Priestley-Taylor (modified for transpiration)

Snow melt: Degree-day method with precipitation factor