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).
Person Responsible For Model Simulations In This Simulation Round: Zeli Tan
Experiments: I, II, III, VIII (for future period only) Climate Drivers: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, EWEMBI, MIROC5 Date: 2020-04-03
Spatial Aggregation: lake
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
Spin-Up Design: For lakes of mixing at least once a year, a 2-year spin-up was conducted. Otherwise, a 10-year or longer spin-up was conducted. During the spin-up period, the ALBM model was driven by the forcing data of 1979.
Was The Model Calibrated?: True
Which Years Were Used For Calibration?: 1979–2016
Which Dataset Was Used For Calibration?: Observed lake water temperature
How Many Catchments Were Callibrated?: All lakes are calibrated separately using 5-year observations of water temperature
Potential Evapotranspiration: Please refer to Tan et al. (2015).
Snow Melt: Please refer to Tan et al. (2015).
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