Lake Superior Region Carbon Cycle

Slides:

Advertisements

Similar presentations

REMOTE SENSING OF SOUTHERN OCEAN AIR-SEA CO 2 FLUXES A.J. Vander Woude Pete Strutton and Burke Hales.

Advertisements

The impact of a declining water table on observed carbon fluxes at a northern temperate wetland Benjamin N. Sulman A nkur R. Desai * Department of Atmospheric.

Improving Understanding of Global and Regional Carbon Dioxide Flux Variability through Assimilation of in Situ and Remote Sensing Data in a Geostatistical.

Carbon Cycling in a Warmer, Greener World The Incredible Unpredictable Plant Ankur R Desai University of Wisconsin-Madison CPEP Spring 2009.

A NEW LAND-LAKE SENSOR NETWORK FOR MEASURING GREENHOUSE GAS, WATER, AND ENERGY EXCHANGES: USE IN EDUCATION AND OUTREACH 1. Introduction Stepien, Carol.

Ankur R Desai, UW-Madison AGU Fall 2007 B41F-03 Impact on Upper Midwest Regional Carbon Balance.

Estimating the contribution of agricultural land use to terrestrial carbon fluxes in the continental US Keith Paustian 1,2, Steven Ogle 2, Scott Denning.

US Carbon Trends March 17, USDA Greenhouse Gas Symposium1 Spatial and Temporal Patterns of the Contemporary Carbon Sources and Sinks in the Ridge.

Uncovering mechanisms of episodic methane sources observed by a very tall eddy covariance tower Ankur Desai, UW-Madison Atmospheric & Oceanic Sciences.

William Ahue University of Wisconsin – Madison Dept. of Atmospheric and Oceanic Sciences Department Seminar 28 April 2010 Advisor: Prof. Ankur Desai.

Slides for IPCC. Inverse Modeling of CO 2 Air Parcel Sources Sinks wind Sample Changes in CO 2 in the air tell us about sources and sinks Atmospheric.

CO 2 in the middle troposphere Chang-Yu Ting 1, Mao-Chang Liang 1, Xun Jiang 2, and Yuk L. Yung 3 ¤ Abstract Measurements of CO 2 in the middle troposphere.

Climate modeling Current state of climate knowledge – What does the historical data (temperature, CO 2, etc) tell us – What are trends in the current observational.

Earth Systems Science Chapter 6 I. Modeling the Atmosphere-Ocean System 1.Statistical vs physical models; analytical vs numerical models; equilibrium vs.

The Global Carbon Cycle Humans Atmosphere /yr Ocean 38,000 Land 2000 ~90 ~120 7 GtC/yr ~90 About half the CO 2 released by humans is absorbed by.

GOES-R 3 : Coastal CO 2 fluxes Pete Strutton, Burke Hales & Ricardo Letelier College of Oceanic and Atmospheric Sciences Oregon State University 1. The.

Investigating Representation Errors in Inversions of Satellite CO 2 Retrievals K.D. Corbin, A.S. Denning, N.C. Parazoo Department of Atmospheric Science.

Influence functions for the WLEF tower (z=400m) for the June, July, August and September 2000 Simulation: RAMS v4.3 with two nested grids (Δx=100km and.

NOCES meeting Plymouth, 2005 June Top-down v.s. bottom-up estimates of air-sea CO 2 fluxes : No winner so far … P. Bousquet, A. Idelkadi, C. Carouge,

Modeling approach to regional flux inversions at WLEF Modeling approach to regional flux inversions at WLEF Marek Uliasz Department of Atmospheric Science.

The Anthropogenic Ocean Carbon Sink Alan Cohn March 29, 2006

Modeling framework for estimation of regional CO2 fluxes using concentration measurements from a ring of towers Modeling framework for estimation of regional.

Ankur R Desai, UW-Madison AGU Fall 2007 B41F-03 Ankur Desai AOS 405, Spring 2010 Why Has Wind.

Climate Change Projections of the Tasman Sea from an Ocean Eddy- resolving Model – the importance of eddies Richard Matear, Matt Chamberlain, Chaojiao.

The Physical Modulation of Seasonal Hypoxia in Chesapeake Bay Malcolm Scully Outline: 1)Background and Motivation 2)Role of Physical Forcing 3)Simplified.

1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.

The Global Ocean Carbon Cycle Rik Wanninkhof, NOAA/AOML Annual OCO review, June 2007: Celebrating Our Past, Observing our Present, Predicting our Future:

Interannual variability across sites: Bridging the gap between flux towers and flasks Goals Obtain a mechanistic understanding of tower-scale interannual.

Phenological responses of NEE in the subboreal Controls on IAV by autumn zero- crossing and soil thermal profile Dr. Desai.

Page 1© Crown copyright WP4 Development of a System for Carbon Cycle Data Assimilation Richard Betts.

The role of the Chequamegon Ecosystem-Atmosphere Study in the U.S. Carbon Cycle Science Plan Ken Davis The Pennsylvania State University The 13 th ChEAS.

Dale haidvogel Nested Modeling Studies on the Northeast U.S. Continental Shelves Dale B. Haidvogel John Wilkin, Katja Fennel, Hernan.

Three-dimensional flows and NEE: Results from the Chequamegon Ecosystem-Atmosphere Study (ChEAS) Ken Davis, Weiguo Wang, Chuixiang Yi and others, The Pennsylvania.

Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.

Modeling Modes of Variability in Carbon Exchange Between High Latitude Ecosystems and the Atmosphere Dave McGuire (UAF), Joy Clein (UAF), and Qianlai.

Assimilating chemical compound with a regional chemical model Chu-Chun Chang 1, Shu-Chih Yang 1, Mao-Chang Liang 2, ShuWei Hsu 1, Yu-Heng Tseng 3 and Ji-Sung.

Development of an EnKF to estimate CO 2 fluxes from realistic distributions of X CO2 Liang Feng, Paul Palmer

The Role of Virtual Tall Towers in the Carbon Dioxide Observation Network Martha Butler The Pennsylvania State University ChEAS Meeting June 5-6, 2006.

Impacts of leaf phenology and water table on interannual variability of carbon fluxes in subboreal uplands and wetlands Implications for regional fluxes.

Interannual Variability in the ChEAS Mesonet ChEAS XI, 12 August 2008 UNDERC-East, Land O Lakes, WI Ankur Desai Atmospheric & Oceanic Sciences, University.

Coupled Simulations of [CO2] with SiB-RAMS Aaron Wang, Kathy Corbin, Scott Denning, Lixin Lu, Ian Baker, John Kleist.

1) What is the variability in eddy currents and the resulting impact on global climate and weather? Resolving meso-scale and sub- meso-scale ocean dynamics.

WP11 highlights: introduction and overview EU FP6 Integrated Project CARBOOCEAN ”Marine carbon sources and sinks assessment” 5 th Annual & Final Meeting.

Investigating Land-Atmosphere CO 2 Exchange with a Coupled Biosphere-Atmosphere Model: SiB3-RAMS K.D. Corbin, A.S. Denning, I. Baker, N. Parazoo, A. Schuh,

Precision and accuracy of in situ tower based carbon cycle concentration networks required for detection of the effects of extreme climate events on regional.

Climate Related Variations In Lake Mixing Dynamics: 5.6 M Arctic and Subarctic Lakes 0.5 ha or larger in NA. Courtesy of Yongwei Sheng. Arctic lakes, North.

Biases in land surface models Yingping Wang CSIRO Marine and Atmospheric Research.

Spatial Processes and Land-atmosphere Flux Constraining ecosystem models with regional flux tower data assimilation Flux Measurements and Advanced Modeling,

A challenge to the flux-tower upscaling hypothesis? A multi-tower comparison from the Chequamegon Ecosystem-Atmosphere Study K.J. Davis 1, D.R. Ricciuto.

Towards a robust, generalizable non-linear regression gap filling algorithm (NLR_EM) Ankur R Desai – National Center for Atmospheric Research (NCAR) Boulder,

Observing and Modeling Requirements for the BARCA Project Scott Denning 1, Marek Uliasz 1, Saulo Freitas 2, Marcos Longo 2, Ian Baker 1, Maria Assunçao.

Success and Failure of Implementing Data-driven Upscaling Using Flux Networks and Remote Sensing Jingfeng Xiao Complex Systems Research Center, University.

Ocean Biological Modeling and Assimilation of Ocean Color Data Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Assimilation Objectives:

From eddies to the breath of the planet Flux towers, data assimilation, and the global carbon cycle Ankur Desai AOS, UW- Madison 907 Seminar 20 Feb 2008.

Ring2.psu.edu Natasha Miles, Scott Richardson, Ken Davis, and Eric Crosson American Geophysical Union Annual Meeting 2008: 17 Dec 2008 Temporal and spatial.

What can we learn about biological production and air-sea carbon flux in the Southern Ocean from 12 years of observations in the Drake Passage? Colm Sweeney.

Gent-McWilliams parameterization: 20/20 Hindsight Peter R. Gent Senior Scientist National Center for Atmospheric Research.

CO2 sources and sinks in China as seen from the global atmosphere

CARBON, WATER, LAND USE & CLIMATE

Pre-anthropogenic C cycle and recent perturbations

Arctic Ocean Model Intercomparison Project, 14th Workshop, Woods Hole

GFDL Climate Model Status and Plans for Product Generation

Coastal CO2 fluxes from satellite ocean color, SST and winds

GIJS DE BOER(1), GREGORY J. TRIPOLI(1), EDWIN W. ELORANTA(2)

Atmospheric Tracers and the Great Lakes

From eddies to the breath of the planet

Atmospheric CO2 and O2 Observations and the Global Carbon Cycle

Spatial Processes and Land-atmosphere Flux

Investigating land-climate interactions across land cover types

Regional Carbon Fluxes in WI:

Presentation transcript:

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 desai@aos.wisc.edu

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

Lakes, Land, & Carbon Ankur R Desai, UW-Madison desai@aos.wisc.edu

The big picture Sarmiento and Gruber, 2002, Physics Today Ankur R Desai, UW-Madison desai@aos.wisc.edu

Slightly smaller picture Cardille et al. (2007) Ankur R Desai, UW-Madison desai@aos.wisc.edu

Real Numbers Are Complicated Atmos. flux: ~3-12 Tg yr-1 - 35-140 gC m-2 yr-1 Ankur R Desai, UW-Madison desai@aos.wisc.edu

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 desai@aos.wisc.edu

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 desai@aos.wisc.edu

The Atmospheric Tracer View Ankur R Desai, UW-Madison desai@aos.wisc.edu

Global CO2 NOAA/ESRL/GMD/CCGG Ankur R Desai, UW-Madison desai@aos.wisc.edu

Global Experiment Marland et al., DOE/CDIAC Ankur R Desai, UW-Madison desai@aos.wisc.edu

The Inverse Idea Ankur R Desai, UW-Madison desai@aos.wisc.edu

The Inverse Idea Courtesy S. Denning, CSU Ankur R Desai, UW-Madison desai@aos.wisc.edu

The Inverse Idea Peters et al (2007) PNAS Ankur R Desai, UW-Madison desai@aos.wisc.edu

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 desai@aos.wisc.edu

A 1-point Inversion [CO2] Air flowing over lake > [CO2] over land Ankur R Desai, UW-Madison desai@aos.wisc.edu

Air and Lake CO2 Comparison Simple boundary layer budget tracer study suggests summer 2007 efflux: 4-14 gC m-2 d-1 extrapolated to ~30-140 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 desai@aos.wisc.edu

The Boundary Layer Problem Courtesy of S. Spak, UW Ankur R Desai, UW-Madison desai@aos.wisc.edu

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 desai@aos.wisc.edu

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 desai@aos.wisc.edu

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

An Eddy Flux View Ankur R Desai, UW-Madison desai@aos.wisc.edu

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 desai@aos.wisc.edu

Eddies! Ankur R Desai, UW-Madison desai@aos.wisc.edu

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 desai@aos.wisc.edu

The Data Ankur R Desai, UW-Madison desai@aos.wisc.edu

The Data Pt. 2 Ankur R Desai, UW-Madison desai@aos.wisc.edu

The Data Pt. 3 Ankur R Desai, UW-Madison desai@aos.wisc.edu

Much Data… Ankur R Desai, UW-Madison desai@aos.wisc.edu

A CHEAS-y Lake Ankur R Desai, UW-Madison desai@aos.wisc.edu

Scale This! Ankur R Desai, UW-Madison desai@aos.wisc.edu

Some Observations Desai et al, 2008, Ag For Met Ankur R Desai, UW-Madison desai@aos.wisc.edu

The 6x6 km View Ankur R Desai, UW-Madison desai@aos.wisc.edu

More Observations Ankur R Desai, UW-Madison desai@aos.wisc.edu

Land History Ankur R Desai, UW-Madison desai@aos.wisc.edu

Land History Have to account for age structure too Ankur R Desai, UW-Madison desai@aos.wisc.edu

All The ChEAS Flux Data Ankur R Desai, UW-Madison desai@aos.wisc.edu

Magically Scaled Ankur R Desai, UW-Madison desai@aos.wisc.edu

The “Bottom-Up” Flux Ankur R Desai, UW-Madison desai@aos.wisc.edu

Evaluation “Top-down” vs “Bottom-up” Ankur R Desai, UW-Madison desai@aos.wisc.edu

Evaluation Ankur R Desai, UW-Madison desai@aos.wisc.edu

Land 1989-2006 average Ankur R Desai, UW-Madison desai@aos.wisc.edu

Lake? Ankur R Desai, UW-Madison desai@aos.wisc.edu

Lake and Land Ankur R Desai, UW-Madison desai@aos.wisc.edu

Lake Superior & Micrometeorology Ankur R Desai, UW-Madison desai@aos.wisc.edu

Better Forcing? Many observations are sparse Ankur R Desai, UW-Madison desai@aos.wisc.edu

Better [CO2] Ankur R Desai, UW-Madison desai@aos.wisc.edu

Coherent Interannual Variability Ankur R Desai, UW-Madison desai@aos.wisc.edu

Lake Interannual Variability Annual avg. dissolved organic carbon (DOC) Ankur R Desai, UW-Madison desai@aos.wisc.edu

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 desai@aos.wisc.edu

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 desai@aos.wisc.edu

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, desai@aos.wisc.edu, 265-9201 More info: http://flux.aos.wisc.edu Ankur R Desai, UW-Madison desai@aos.wisc.edu