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).
