Impact model: ALBM

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).

Sector
Lakes (global)
Region
global
Contact Person

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.

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:
Person Responsible For Model Simulations In This Simulation Round: Zeli Tan
Output Data
Experiments: II, III, VIII (for future and historical periods only)
Climate Drivers: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5
Date: 2018-11-05
Resolution
Spatial Aggregation: regular grid
Spatial 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 sets used
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.
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.
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:
Person Responsible For Model Simulations In This Simulation Round: Zeli Tan
Output Data
Experiments: historical
Climate Drivers: EWEMBI
Date: 2018-11-05
Resolution
Spatial Aggregation: regular grid
Spatial 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 sets used
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.
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.