Impact model: ALBM

Sector
Lakes (global)
Region
global

The Arctic Lake Biogeochemistry Model (ALBM) is a one-dimensional process-based lake biogeochemistry model that can simulate the dynamics of water temperature, ice phenology, dissolved oxygen, phytoplankton and carbon (CO2 and CH4).


ALBM was originally developed for Arctic lakes (Tan et al., 2015, 2017) and later was applied successfully to other northern lakes (Guo et al., 2020; Tan et al., 2018).


The thermal regimes of lakes in ALBM are governed by 1-D thermal diffusion equations in both water and sediment columns, as well as boundary conditions that are driven by sensible heat, latent heat, thermal radiation and solar radiation. It calculates the eddy diffusivity as a function of the Richardson number (Hostetler and Bartlein, 1990) and the turbulent mixing as the balance of kinetic energy induced by wind and potential energy induced by stratification (Saloranta and Andersen, 2007). The snow and ice dynamics of lakes are represented in ALBM by one snow layer, one gray ice layer that is formed when too much snow is accumulated, and multiple ice layers (Tan et al., 2018).

Information for the model ALBM 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.

Person responsible for model simulations in this simulation round
Zeli Tan: tanzeli1982@gmail.com, 0000-0001-5958-2584, Pacific Northwest National Laboratory (USA)
Output Data
Experiments: ssp370_2015soc_default, ssp126_2015soc_default, ssp585_2015soc_default, historical_2015soc_default, picontrol_2015soc_default
Climate Drivers: GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL
Date: 2023-07-20
Basic information
Model Version: Year 2023
Model Output License: CC BY 4.0
Model Homepage: https://github.com/tanzeli1982/ALBM
Reference Paper: Main Reference: Tan Z, Zhuang Q, Walter Anthony K et al. Modeling methane emissions from arctic lakes: Model development and site‐level study. Journal of Advances in Modeling Earth Systems,7,459-483,2015
Reference Paper: Other References:
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5’ x 0.5’
Vertically resolved: No
Temporal resolution of input data: climate variables: daily
Temporal resolution of input data: soil: constant
Input data
Simulated atmospheric climate data sets used: MRI-ESM2-0, IPSL-CM6A-LR, MPI-ESM1-2-HR, UKESM1-0-LL, GFDL-ESM4
Other data sets used: Lakes static information
Climate variables: hurs, sfcWind, tasmax, tas, tasmin, rlds, rsds, prsn, ps, pr
Spin-up
Was a spin-up performed?: Yes
Spin-up design: The initial water temperature is set as vertically uniform 4 deg celsius. The model is spin up for 50 years using the picontrol climate data from 1800 to 1850.
Soil
Soil layers: For each lake, the model has the maximum 40 sediment layers.
Calibration
Was the model calibrated?: No
Methods
Snow melt: Snow melt is implemented. Please refer to Tan et al. (2015).
Additional questions 1
How did you initialise you lake temperature profile?: The initial water temperature is set as vertically uniform 4 deg celsius.
How did you set lake depth?: Lake depth is set by the ISIMIP developed lake bathymetry.
How did you set water transparency?: Light attenuation coefficient is set as the function of lake depth.
Person responsible for model simulations in this simulation round
Zeli Tan: tanzeli1982@gmail.com, 0000-0001-5958-2584, Pacific Northwest National Laboratory (USA)
Output Data
Experiments: obsclim_2015soc_default, counterclim_2015soc_default
Climate Drivers: 20CRV3, 20CRV3-ERA5, 20CRV3-W5E5, GSWP3-W5E5
Date: 2022-11-08
Basic information
Model Version: ALBM 3.0
Model Output License: CC BY 4.0
Model Homepage: https://github.com/tanzeli1982/Fortran/tree/master/albm_region/3.0
Model License: Apache-2.0 license
Simulation Round Specific Description: ALBM 3.0 represents lake bathymetry and differentiates the lake sediment using at most four sediment columns. The four sediment columns do not exchange heat but heat can transport vertically in individual sediment column. ALBM conducts two types of ISIMIP3a simulations: obsclim and counterclim. For each simulation type, ALBM runs four GCMs: 20CRv3, 20CRv3-ERA5, 20CRv3-W5E5, and GSWP3-W5E5.
Reference Paper: Main Reference: Tan Z, Zhuang Q, Walter Anthony K et al. Modeling methane emissions from arctic lakes: Model development and site‐level study. Journal of Advances in Modeling Earth Systems,7,459-483,2015
Reference Paper: Other References:
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5’ x 0.5’
Additional spatial aggregation & resolution information: ALBM simulations are conducted for the representative lake of each 0.5x0.5 resolution grid cell.
Temporal resolution of input data: climate variables: daily
Temporal resolution of input data: co2: annual
Temporal resolution of input data: soil: constant
Input data
Observed atmospheric climate data sets used: GSWP3-W5E5 (ISIMIP3a)
Other human influences data sets used: Lakes area fraction
Other data sets used: Lakes static information
Climate variables: hurs, sfcWind, tasmax, tas, tasmin, rlds, rsds, prsn, ps, pr
Spin-up
Was a spin-up performed?: Yes
Spin-up design: The ALBM spin-up is designed as follows: 1) the spin-up duration is five years; 2) the climate of the spin-up period is forced by recycling the climate data of 1901 for each GCM; 3) the spin-up start date is July 1 and the initial temperature of the water column is set at 4 celsius.
Natural Vegetation
Soil layers: The ALBM v3 has four soil columns and each soil column is divided into 40 soil layers that extend from the water-sediment interface to 25 m thickness.
Technological Progress
Technological progress: N/A
Soil
Soil layers: 40 soil layers. Soil layers have the properties of density, porosity, thermal conductivity and heat capacity.
Calibration
Was the model calibrated?: No
Vegetation
Is co2 fertilisation accounted for?: No
Methods
Snow melt: Snow melt is resolved based on the energy conservation of the single snow layer.
Additional questions 1
How did you initialise you lake temperature profile?: Please see the answer in the spin-up section.
How did you set lake depth?: Lake maximum depth is used and lake bathymetry is considered. As a result, the cross-section area of each water layer decreases from the surface to the bottom.
How did you set water transparency?: Water transparency is set the same as ISIMIP2b
Person responsible for model simulations in this simulation round
Zeli Tan: tanzeli1982@gmail.com, 0000-0001-5958-2584, Pacific Northwest National Laboratory (USA)
Additional persons involved: Zeli Tan
Output Data
Experiments: II, III, VIII (for future and historical periods only)
Climate Drivers: None
Date: 2018-11-05
Basic information
Model Version: Arctic Lake Biogeochemistry Model v2.0
Model Output License: CC BY 4.0
Reference Paper: Main Reference: Tan Z, Zhuang Q, Walter Anthony K et al. Modeling methane emissions from arctic lakes: Model development and site‐level study. Journal of Advances in Modeling Earth Systems,7,459-483,2015
Reference Paper: Other References:
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Additional spatial aggregation & resolution information: ALBM has 51 vertical grid points. For lakes shallower than 5 meters, not all grid points are used. In such case, water depth (levlak) at the inactive grid points is set to 1.0E+20.
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: 2005soc_co2
Input data
Simulated atmospheric climate data sets used: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5
Observed atmospheric climate data sets used: EWEMBI
Climate variables: hurs, sfcWind, tasmax, tas, tasmin, rlds, rsds, prsn, ps, pr
Spin-up
Was a spin-up performed?: Yes
Spin-up design: A 12-year spin-up was conducted for both historical and future runs. During the spin-up period, the ALBM model was driven by the forcing data of 1996-2006 for future runs and the forcing data of 1861 for historical runs.
Calibration
Was the model calibrated?: No
Methods
Potential evapotranspiration: Please refer to Tan et al. (2015).
Snow melt: Please refer to Tan et al. (2015).
Additional questions 1
How did you initialise you lake temperature profile?: If the annual mean air temperature of the lake grid is less than 4 deg celsius, the lake temperature profile would be initialized as a uniform 4 deg celsius profile at the start of the spin-up. Otherwise, the lake temperature profile would be initialized as a uniform profile equal to the annual mean value at the start of the spin-up.
How did you set lake depth?: The lake depth is set according to the ISIMIP provided dataset.
How did you set water transparency?: The lake water transparency is set according to the method of Subin et al. (2013) used by the CLM lake model.
Person responsible for model simulations in this simulation round
Zeli Tan: tanzeli1982@gmail.com, 0000-0001-5958-2584, Pacific Northwest National Laboratory (USA)
Additional persons involved: Zeli Tan
Output Data
Experiments: historical
Climate Drivers: None
Date: 2018-11-05
Basic information
Model Version: Arctic Lake Biogeochemistry Model v2.0
Model Output License: CC BY 4.0
Reference Paper: Main Reference: Tan Z, Zhuang Q, Walter Anthony K et al. Modeling methane emissions from arctic lakes: Model development and site‐level study. Journal of Advances in Modeling Earth Systems,7,459-483,2015
Reference Paper: Other References:
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Additional spatial aggregation & resolution information: ALBM has 51 vertical grid points. For lakes shallower than 5 meters, not all grid points are used. In such case, water depth (levlak) at the inactive grid points is set to 1.0E+20.
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: 2005soc_co2
Input data
Observed atmospheric climate data sets used: EWEMBI
Climate variables: sfcWind, tasmax, tas, tasmin, rlds, rhs, rsds, prsn, ps, pr
Spin-up
Was a spin-up performed?: Yes
Spin-up design: A 2-Year spin-up was conducted. During the spin-up period, the ALBM model was driven by the forcing data of 1979 for historical runs.
Calibration
Was the model calibrated?: No
Methods
Potential evapotranspiration: Please refer to Tan et al. (2015).
Snow melt: Please refer to Tan et al. (2015).
Additional questions 1
How did you initialise you lake temperature profile?: If the annual mean air temperature of the lake grid is less than 4 deg celsius, the lake temperature profile would be initialized as a uniform 4 deg celsius profile at the start of the spin-up. Otherwise, the lake temperature profile would be initialized as a uniform profile equal to the annual mean value at the start of the spin-up.
How did you set lake depth?: The lake depth is set according to the ISIMIP provided dataset.
How did you set water transparency?: The lake water transparency is set according to the method of Subin et al. (2013) used by the CLM lake model.