At the moment, the abiotic_simple model sets values that fall outside the range of expected values to the upper or lower bound value. This is true for all updated variables; the bounds are defined in the abiotic_simple/constants.py. The problem is that this approach does not conserve energy or matter.
I currently do not have a solution ready. For now, we should produce a warning or error message.
At the moment, the
abiotic_simplemodel sets values that fall outside the range of expected values to the upper or lower bound value. This is true for all updated variables; the bounds are defined in theabiotic_simple/constants.py. The problem is that this approach does not conserve energy or matter.I currently do not have a solution ready. For now, we should produce a warning or error message.