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In-Depth CMIP5 Lake Component Investigation

This page is part of the project: Great Lakes Climate Ensemble

Here we present information about the CMIP5 GCMS that include lake components:

GCM Land Component Lake Component Lake Depth1 Lake Layers2 Lake Snow/Ice Cover3 Vertical Lake Dynamics Land Surface Characterization4
BCC-CSM1-1m

Atmosphere-Vegetation Interaction Model (BCC-AVIM2.0) based on NCAR's Community Land Model (CLM) version 3.5

Surfaces in AVIM2.0 include lake and wetland.

Community Land Model 3.0 includes a lake model67

All lakes are 50 meters 10 layers Snow can accumulate on the lake surface if ice exists. Convective mixing is simulated.

Percent lake and wetland were derived from Cogley’s (1991)89 1.0º by 1.0º data for perennial freshwater lakes and swamps/marshes. 

The Great Lakes are characterized as lakes.

CCSM4 Community Land Model (CLM) version 410

See notes on CLM 3.0 above.  There are no apparent changes to the lake component.11 All lakes are 50 meters 10 layers Snow can accumulate on the lake surface if ice exists. Convective mixing is simulated.

See notes above.

The Great Lakes are characterized as lakes.

CESM1-BGC,CAM4,CAM5,FastChem,WACCM Community Land Model (CLM) version 4 See notes on CLM 3.0 above.  There are no apparent changes to the lake component.11 All lakes are 50 meters 10 layers Snow can accumulate on the lake surface if ice exists. Convective mixing is simulated.

See notes above.

The Great Lakes are characterized as lakes.

CSIRO-Mk3.6.0 unknown but treatment of Great Lakes is discussed in documentation here (see Appendix)     6 layers water is allowed to freeze/melt "The water is also required to stable in the vertical (see second part of subroutine “surfa_riv”). The model results indicate that the temperature of the lowest level (6) for the lake points remains close to freezing throughout the year. " The Great Lakes are characterized as lakes.
FGOALS-g2 Community Land Model 3.0 Community Land Model 3.0 includes a lake model1213 All lakes are 50 meters 10 layers Snow can accumulate on the lake surface if ice exists. Convective mixing is simulated.

See notes above.

The Great Lakes are characterized as lakes.

GFDL-CM3, ESM-2G, ESM2M Land Model (LM) 314   Lakes are characterized by changing depth   Lake ice and snow on top of lake ice can form15 Vertical mixing is simulated; "crudely parameterize the unresolved effects of three-dimensional mixing in large, deep lakes." The Great Lakes are characterized as lakes.
GISS -E2-H/H-CC/R SEA0616   arbitrarily deep 2 layers Lake ice can form Vertical mixing is simulated It is unclear if the lakes are in the land model or ocean model.  17
MIROC4h Minimal Advanced Treatments of Surface Interaction and RunOff (MATSIRO)18,19 Lakes are handled in the sea-ice and ocean components.20 No specified lake depths. Oceans have 47 layers.21 The model predicts sea ice concentration, mean ice thickness, mean snow thickness over sea ice, and horizontal velocity.21 The ocean component is an eddy-permitting model but has coarse spatial resolution.21 The Great Lakes are characterized as oceans.22
MIROC5

Minimal Advanced Treatments of Surface Interaction and RunOff (MATSIRO)

See notes above.

MATSIRO is coupled to a lake sub-model.23

No specific model name is provided.

No specified lake depths. One surface layer and 4 sub-surface layers.24 No information included in documentation. Simulates vertical overturning.24

USGS Global Land Cover Characterization.25

The Great Lakes are characterized as lakes.

 

MRI-CGCM3 Hydrology, Atmosphere and Land (HAL) model26 Includes the river-lake model, Global River model using Total Runoff Integrating Pathways (GRiveT).27 The river-lake model is focused on river surface flows and there is no specified lake depth. There is no information about lake layers in the documentation.  Freezing of the lake is not simulated.27 The lake component appears to only calculate masses and flows, not vertical mixing.

USGS Global Land Cover Characterization.25

The Great Lakes are characterized as lakes.

NorESM1-M/ME CLM4