The General Ocean Turbulence Model (GOTM) is a 'state-of-the-art' turbulence model for natural waters. Its is a full-fledged 1D water column model with a very extended configuration possibilities including coupling to a collection of bio-geochemical models.
Person Responsible For Model Simulations In This Simulation Round: Tadhg Moore
Experiments: I, II, III, VIII Climate Drivers: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5 Date: 2019-11-07
Spatial Aggregation: lake
Temporal Resolution Of Input Data: Climate Variables: daily
Additional Temporal Resolution Information: The model integrates on a hourly timestep.
Input data sets used
Simulated Atmospheric Climate Data Sets Used: HadGEM2-ES, GFDL-ESM2M, MIROC5
Observed Atmospheric Climate Data Sets Used: EWEMBI
Climate Variables: ta, hurs, uas, vas, rhs, psl, rsds, ps, pr
Additional Information About Input Variables: Cloud cover was calculated using Martin and McCutcheon (1999). Daily short-wave radiation was computed using the method from the GOTM model.
Was A Spin-Up Performed?: Yes
Spin-Up Design: Two years data was replicated and used to spin-up the model.
Extreme Events & Disturbances
Key Challenges: Using daily resolution data as key disturbances occur at a sub-daily time step.
Was The Model Calibrated?: True
Which Years Were Used For Calibration?: The years which we had observed lake temperature profiles.
Which Dataset Was Used For Calibration?: EWEMBI
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