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Lake Superior Region Carbon Cycle

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Presentation on theme: "Lake Superior Region Carbon Cycle"— Presentation transcript:

1 Lake Superior Region Carbon Cycle
Viewed from the air Ankur R Desai Atmospheric & Oceanic Sciences University of Wisconsin-Madison (and the CyCLeS team) Lake Superior Biogeochemistry Workshop August 5, 2008 Ankur R Desai, UW-Madison

2 What’s in the airwaves? Lakes, lands, & carbon
The atmospheric tracer view An eddy flux view Lake Superior & micrometerology Ankur R Desai, UW-Madison

3 Lakes, Land, & Carbon Ankur R Desai, UW-Madison

4 The big picture Sarmiento and Gruber, 2002, Physics Today
Ankur R Desai, UW-Madison

5 Slightly smaller picture
Cardille et al. (2007) Ankur R Desai, UW-Madison

6 Real Numbers Are Complicated
Atmos. flux: ~3-12 Tg yr gC m-2 yr-1 Ankur R Desai, UW-Madison

7 An Oceanic Lake CyCLeS: Cycling of Carbon in Lake Superior
Adapt the MIT-GCM ocean model to simulate physical and biogeochemical environment of Lake Superior Physical model of temperature, circulation Mostly implemented Biogeochemical model of trace nutrients and air-sea exchange In progress Ankur R Desai, UW-Madison

8 Interesting Questions
How do magnitudes of lake and land flux compare and what does it imply for regional carbon budgets? (NACP, SOCCR) Are interannual variations in lake and land CO2 surface-atmosphere flux related and if so, due to what environmental forcing? Can we “see” and constrain lake (and land) flux from regional atmospheric CO2 observations? What are impacts on atmospheric forcing (temperature, stable layer depth, CO2) on lake biogeochemistry? Ankur R Desai, UW-Madison

9 The Atmospheric Tracer View
Ankur R Desai, UW-Madison

10 Global CO2 NOAA/ESRL/GMD/CCGG Ankur R Desai, UW-Madison

11 Global Experiment Marland et al., DOE/CDIAC Ankur R Desai, UW-Madison

12 The Inverse Idea Ankur R Desai, UW-Madison

13 The Inverse Idea Courtesy S. Denning, CSU Ankur R Desai, UW-Madison

14 The Inverse Idea Peters et al (2007) PNAS Ankur R Desai, UW-Madison

15 Inversion and a Very Big Tower
WLEF-TV (PBS) Park Falls, WI 447-m tall 6 levels [CO2] 11 to 396 m 3 levels CO2 flux 30,122,396 m Mixed landscape Representative? Running 1995- Ankur R Desai, UW-Madison

16 A 1-point Inversion [CO2] Air flowing over lake > [CO2] over land
Ankur R Desai, UW-Madison

17 Air and Lake CO2 Comparison
Simple boundary layer budget tracer study suggests summer 2007 efflux: 4-14 gC m-2 d-1 extrapolated to ~ gC m-2 yr-1 Analysis requires modeling of stable marine boundary layer Larger than traditional air-sea pCO2 exchange calculation Requires significant respiration in water column Urban et al. (in press) Ankur R Desai, UW-Madison

18 The Boundary Layer Problem
Courtesy of S. Spak, UW Ankur R Desai, UW-Madison

19 Getting More Sophisticated
Courtesy M. Uliasz, CSU Tracer transport modeled influence function August 2003 at WLEF entire domain water land Ankur R Desai, UW-Madison

20 Great Lakes Influence at WLEF
Land: 85.4% Lake Superior: 9.5% Lake Michigan: 1.8% Other water: 3.1% Ankur R Desai, UW-Madison

21 The Potential Potential exists for constraining flux and interannual var. with local observations of CO2 1996 2003 Ankur R Desai, UW-Madison

22 An Eddy Flux View Ankur R Desai, UW-Madison

23 Eddies? Tracers in boundary layer primarily transported by turbulence
Ensemble average turbulent equations of motion and tracer concentration provide information about the effect of random, chaotic turbulence on the evolution of mean tracer profiles with time In a quasi-steady, homogenous surface layer, we can simplify this equation to infer the surface flux of a tracer Ankur R Desai, UW-Madison

24 Eddies! Ankur R Desai, UW-Madison

25 The Maths *Some simplifications made… Storage Turbulent flux
Equipment: 3D sonic anemometer Open or closed path gas analyzer 5--20 Hz temporal resolution Multiple level CO2 profiler Ankur R Desai, UW-Madison

26 The Data Ankur R Desai, UW-Madison

27 The Data Pt. 2 Ankur R Desai, UW-Madison

28 The Data Pt. 3 Ankur R Desai, UW-Madison

29 Much Data… Ankur R Desai, UW-Madison

30 A CHEAS-y Lake Ankur R Desai, UW-Madison

31 Scale This! Ankur R Desai, UW-Madison

32 Some Observations Desai et al, 2008, Ag For Met
Ankur R Desai, UW-Madison

33 The 6x6 km View Ankur R Desai, UW-Madison

34 More Observations Ankur R Desai, UW-Madison

35 Land History Ankur R Desai, UW-Madison

36 Land History Have to account for age structure too
Ankur R Desai, UW-Madison

37 All The ChEAS Flux Data Ankur R Desai, UW-Madison

38 Magically Scaled Ankur R Desai, UW-Madison

39 The “Bottom-Up” Flux Ankur R Desai, UW-Madison

40 Evaluation “Top-down” vs “Bottom-up” Ankur R Desai, UW-Madison

41 Evaluation Ankur R Desai, UW-Madison

42 Land average Ankur R Desai, UW-Madison

43 Lake? Ankur R Desai, UW-Madison

44 Lake and Land Ankur R Desai, UW-Madison

45 Lake Superior & Micrometeorology
Ankur R Desai, UW-Madison

46 Better Forcing? Many observations are sparse Ankur R Desai, UW-Madison

47 Better [CO2] Ankur R Desai, UW-Madison

48 Coherent Interannual Variability
Ankur R Desai, UW-Madison

49 Lake Interannual Variability
Annual avg. dissolved organic carbon (DOC) Ankur R Desai, UW-Madison

50 More measurements [CO2] over Lake Superior
Continuous CO2 eddy covariance on the lake Better models of stability over lakes Spatial atmospheric met data Temp, wind, precip?, shortwave radiation Ankur R Desai, UW-Madison

51 Conclusions On annual and decadal timescales, Lake Superior is possibly a source of CO2 to the atmosphere This source could be on the same order of magnitude as the terrestrial regional sink Regional carbon budgets have to take lakes into account We can estimate this flux from a number of techniques Lake models may need to worry about spatiotemporal variability in atmospheric forcing Models to tie land carbon flows into lake carbon can be useful for Lake Superior Model-data fusion/optimization/assimilation techniques should be explored Ankur R Desai, UW-Madison

52 Thanks Desai lab and friends: Ben Sulman, Jonathan Thom, Shelley Knuth, Scott Spak ChEAS collaborators, esp. Bruce Cook, Paul Bolstad, Ken Davis, D. Scott Mackay, Nic Saliendra, Sudeep Samanta CyCLeS team: Galen McKinley, Noel Urban, Chin Wu, Nazan Atilla, Val Bennington Funding: DOE NICCR, NSF, USDA, NSF/NCAR, NASA, NOAA, under auspices of the North American Carbon Program (NACP) Come visit us: AOSS 1549, More info: Ankur R Desai, UW-Madison


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