1. VIC Model Status Blowing Snow and Lake Algorithms Princeton Meeting December 4, 2006

2. Blowing Snow Günter Eisenhardt 3.31.2002, Iceland

3. Predictive model of the sublimation from blowing snow SWE > 0? Snow mass and energy balance Snow accumulation Yes Blowing snow sublimation No Derived from existing small-scale blowing snow models (Pomeroy et al. 1993 and Liston and Sturm 1998). Mass concentration of suspended transport based on power law relationship (Kind 1992). Particle sublimation rate proportional to the undersaturation of water vapor. = VIC snow model

4. Distribution of terrain slopes Trail Valley Creek, NWTImnavait Creek, Alaska

5. Non-equilibrium Transport average fetch, f transport = 0transport = Q t (x= f) snow

6. Simulated annual sublimation from blowing snow Sensitivity to fetch

7. Permafrost and frozen ground

8. Soil node temperatures solved via heat diffusion equation (Cherkauer and Lettenmaier 1999) Constant flux or constant temperature options Imposed temperature distribution at each node allows spatial variation of infiltration capacity and active layer depth across the grid cell (Cherkauer et al. 2001)

9. Imnavait Creek active layer depth

10. Betty Pingo SWE and active layer depth

11. On-going work at UW Confirmed functionality of constant flux solution Revise distribution of soil thermal nodes to improve stability Introduce ground ice parameterization

12. Lakes and wetlands Source: San Diego State University Global Change Research Group

14. Predicting the effects of lakes and wetlands Lake energy balance based on: –Hostetler and Bartlein (1990) –Hostetler (1991) Lake ice cover (Patterson and Hamblein) Assumptions: –One “effective” lake for each grid cell; –Laterally-averaged temperatures.

15. Lake energy balance

16. Lake surface energy balance Mean daily values, June-August 2000 Mean diurnal values, June-August 2000 ‘Lake 1’, Arctic Coastal Plain, Alaska

17. Observed Simulated Mean temperature profile (1993-1997) Toolik Lake, Alaska

18. Wetland Algorithm soil saturated land surface runoff & baseflow enters lake evaporation depletes soil moisture lake recharges soil moisture

19. Simulated saturated extent Putuligayuk River, Alaska

20. History Original model - documented (briefly) in Cherkauer et al. (2003) Subsequent revisions (incorporated into VIC 4.1.0 r3 and documented in Bowling et al. manuscript): –Lakes can disappear/reappear –Lake profile description and thermal solution nodes separated –Lake runoff rate more physically described

21. Current Efforts

22. Water Table  Previously VIC did not calculate the water table depth  Average depth to water table calculated for each vegetation type  Summation of depth of saturated layers and depth of excess soil moisture for unsaturated layer

23. Upland fraction (variable) Lake fraction (variable) Wetland fraction (const) h lake

24. Upland fraction (variable) Lake fraction (variable) Wetland fraction (const) h lake

25. VIC Simulations VIC top layer moisture VIC 2nd layer moisture VIC water table Observations Observations show rain pulse penetrating to water table quickly Issue of moisture transfer to depth? or Lateral inflow from flooded ditch?

26. Lateral Exchange  Previously the lake could not recharge the local groundwater  Equilibrium soil moisture is calculated to determine flow direction  Baseflow can go either into or out of the lake in a given time step  Baseflow out of lake is at maximum rate

27. h lake Equilibrium Soil MoistureSoil Moisture State

28. Lake Extent  Previously, maximum water extent fixed by inputs  elevation curve supplied for this wetland fraction only  emerging land had static characteristics  never worked with snow bands  Wetland now considered a subset of each vegetation type  Same elevation curve applies to all vegetation classes?  Lake area can be calculated separately for each veg class, or collapsed back to one effective lake  Could be a nightmare to calibrate

29. Lake extent scenarios Three scenarios defined: 1)Variable extent/defined maximum, e.g. as defined by Bowling et al. (2002) 2)Constant extent, as used by Su et al. (2005) 3)Variable extent/unlimited growth Maximum depth adjusted such that scenarios 1 and 2 have equal volume Grid Cell Fractional Area Fractional Depth

30. Change in open water extent Scenario 1Scenario 2 Scenario 3

31. Sub-Lake Energy Exchange  Previously, heat fluxes in the soil below the lake were not resolved  Normal VIC implementation for exposed wetland soil (these are values output)  Appropriate soil heat flux algorithm called for sub-lake soil  Assumes that soil layers are preserved under the lake  When lake reaches a threshold depth, energy balance must be solved for combined water/soil layer for stability

32. What else? Photosynthesis – based ET scheme? Groundwater parameterization Permafrost runoff scheme