Impact model: LPJmL

LPJmL is a multi-sectoral Dynamic Global Vegetation Model, suited to address the water sector as it includes the full terrestrial water balance with irrigation modules. LPJmL is one of the 13 global hydrology models following the ISIMIP2a protocol which form the base of simulations for the ISIMIP2a global water sector outputs; for a full technical description of the ISIMIP2a Simulation Data from Water (global) Sector, see this DOI link: http://doi.org/10.5880/PIK.2017.010

Sector
Water (global)
Region
global
Contact Person

Information for the model LPJmL is provided for the simulation rounds shown in the tabs below. Click on the appropriate tab to get the information for the simulation round you are interested in.

Basic information
Reference Paper: Main Reference: Sitch S, Smith B, Prentice I, Arneth A, Bondeau A, Cramer W, Kaplan J, Levis S, Lucht W, Sykes M, Thonicke K, Venevsky S et al. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biology,9,161-185,2003
Reference Paper: Other References:
Output Data
Experiments: I, II, III, IV, V, VI, VII
Climate Drivers: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5
Date: 2018-01-18
Resolution
Spatial Aggregation: regular grid
Spatial Resolution: 0.5°x0.5°
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
Additional Temporal Resolution Information: Reservoirs are simulated starting from the year they first become operational. After that there is no change in capacity or area.
Input data sets used
Simulated Atmospheric Climate Data Sets Used: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5
Emissions Data Sets Used: CO2 concentration
Land Use Data Sets Used: Historical, gridded land use (HYDE 3.2)
Other Human Influences Data Sets Used: Water abstraction for domestic and industrial uses
Other Data Sets Used: GRanD reservoirs & dams, River-routing network
Climate Variables: tas, rsds, pr
Additional Information About Input Variables: Long wave net radiation derived from rlds and tas. If there is more than 1 reservoir in a grid-cell according to GRanD all reservoirs are merged into one and the operational year is set to the first year when at least 50% of the final reservoir capacity is installed.
Spin-up
Was A Spin-Up Performed?: Yes
Spin-Up Design: 5000 years PNV spin-up recycling picontrol climate 1661-1860 and picontrol CO2 concentration followed by 161 years of land-use spinup also using picontrol climate and CO2.
Natural Vegetation
Natural Vegetation Partition: dynamic vegetation composition
Natural Vegetation Dynamics: as in Sitch et al. 2003 (9 PFTs competing for light, water, space)
Management & Adaptation Measures
Management: crop sowing and harvest dates computed internally
Technological Progress
Technological Progress: no
Soil
Soil Layers: 5 hydrologically and thermally active layers with depth (from surface down) of 20 cm, 30cm, 50cm, 100cm, 100cm. One more thermally active layer of 10m.
Water Use
Water-Use Types: irrigation (computed internally), domestic and industry prescribed as input provided by ISIMIP2b
Water-Use Sectors: irrigation, domestic and industry
Routing
Runoff Routing: Continuity equation derived from linear reservoir model
Routing Data: routing data according to DDM30
Land Use
Land-Use Change Effects: Different partitioning of rainfall depending on vegetation status of managed areas (cropland and pastures)
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. Minumum release for environmental flow.
Vegetation
Is Co2 Fertilisation Accounted For?: True
How Is Vegetation Represented?: Dynamic simulation of growth and productivity (with prescribed spatial distribution of crops and pasture); dynamic vegetation composition on PNV areas
Methods
Potential Evapotranspiration: Priestley-Taylor (modified for transpiration)
Snow Melt: Degree-day method with precipitation factor
Basic information
Reference Paper: Main Reference: Sitch S, Smith B, Prentice I, Arneth A, Bondeau A, Cramer W, Kaplan J, Levis S, Lucht W, Sykes M, Thonicke K, Venevsky S et al. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biology,9,161-185,2003
Reference Paper: Other References:
Output Data
Experiments: historical
Climate Drivers: GSWP3, PGMFD v.2 (Princeton), WATCH (WFD), WATCH+WFDEI
Date: 2016-04-28
Resolution
Spatial Aggregation: regular grid
Spatial Resolution: 0.5°x0.5°
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 sets used
Observed Atmospheric Climate Data Sets Used: GSWP3, PGMFD v.2 (Princeton), WATCH (WFD), WATCH+WFDEI
Climate Variables: tas, lwnet, rsds, pr
Additional Information About Input Variables: lwnet derived from tas and rlds
Additional Input Data Sets: GGCMI harmonized planting and maturity datasets (for a subset of simulations)
Spin-up
Was A Spin-Up Performed?: Yes
Spin-Up Design: 5000 years of PNV spin-up, followed by 390 years of land-use spin-up, both recycling 120-year random climate sequence (taken from 1901-1930), spin-up leads into transient run 1901 - end of climate dataset; 278 ppm CO2 used before 1765, after 1765 CO2 from provided input file
Natural Vegetation
Natural Vegetation Partition: dynamic vegetation distribution
Natural Vegetation Dynamics: as in Sitch et al. 2004 (9 PFTs competing for light, water, space)
Management & Adaptation Measures
Management: crop sowing dates computed internally but fixed after 1960 in biome, permafrost and water sector runs
Technological Progress
Technological Progress: no
Soil
Soil Layers: Five hydrologically active soil layers, coupled to carbon and thermal balance
Water Use
Water-Use Types: irrigation (computed internally), household, industry, livestock (prescribed)
Water-Use Sectors: two versions available: one with irrigation only, the other including additional water uses; existing runs on server have to be replaced because of setup errors; upload of new data pending on naming decision
Routing
Runoff Routing: Continuity equation derived from linear reservoir model, routing data according to DDM30
Land Use
Land-Use Change Effects: Different partitioning of rainfall depending on vegetation status of managed areas (cropland and pastures)
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. Minumum release for environmental flow.
Vegetation
Is Co2 Fertilisation Accounted For?: True
How Is Vegetation Represented?: Dynamic simulation of growth and productivity (with prescribed spatial distribution of crops and pasture); dynamic vegetation composition on PNV areas
Methods
Potential Evapotranspiration: Priestley-Taylor (modified for transpiration)
Snow Melt: Degree-day method with precipitation factor