Atmospheric Tracers and the Great Lakes

Slides:



Advertisements
Similar presentations
Anna M. Michalak Department of Civil and Environmental Engineering
Advertisements

Resolving CO 2 Flux Estimates from Atmospheric Inversions and Inventories in the Mid-Continent Region Stephen M. Ogle 1, Andrew Schuh 1, Dan Cooley 1,
Quantification of the sensitivity of NASA CMS-Flux inversions to uncertainty in atmospheric transport Thomas Lauvaux, NASA JPL Martha Butler, Kenneth Davis,
GHG Verification & the Carbon Cycle 28 September 2010 JH Butler, NOAA CAS Management Group Meeting Page 1 Global Monitoring, Carbon Cycle Science, and.
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.
Detection and Quantification of Urban Greenhouse Gas Emissions: Ground- based results from the INFLUX Experiment Map of road emissions from Hestia with.
Ankur R Desai, UW-Madison AGU Fall 2007 B41F-03 Impact on Upper Midwest Regional Carbon Balance.
Uncovering mechanisms of episodic methane sources observed by a very tall eddy covariance tower Ankur Desai, UW-Madison Atmospheric & Oceanic Sciences.
A direct carbon budgeting approach to infer carbon sources and sinks from the NOAA/ESRL Aircraft Network Colm Sweeney 1, Cyril Crevoisier 2, Wouter Peters.
William Ahue University of Wisconsin – Madison Dept. of Atmospheric and Oceanic Sciences Department Seminar 28 April 2010 Advisor: Prof. Ankur Desai.
Improving Understanding of Global and Regional Carbon Dioxide Flux Variability through Assimilation of in Situ and Remote Sensing Data in a Geostatistical.
Andrew Schuh 1, Thomas Lauvaux 2,, Ken Davis 2, Marek Uliasz 1, Dan Cooley 1, Tristram West 3, Liza Diaz 2, Scott Richardson 2, Natasha Miles 2, F. Jay.
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.
Andrew Schuh 1, Stephen M. Ogle 1, Marek Uliasz 1, Dan Cooley 1, Tristram West 2, Ken Davis 3, Thomas Lauvaux 3, Liza Diaz 3, Scott Richardson 3, Natasha.
Inversion plan and current progress on MCI Andrew Schuh Colorado State University MCI Workshop June 17, 2009.
Andrew Schuh 1, Stephen M. Ogle 1, Marek Uliasz 1, Dan Cooley 1, Tristram West 2, Ken Davis 3, Thomas Lauvaux 3, Liza Diaz 3, Scott Richardson 3, Natasha.
Virtual Tall Towers and Inversions or How to Make Productive Use of Continental CO 2 Measurements in Global Inversions Martha Butler The Pennsylvania State.
Evaluating Spatial, Temporal, and Clear-Sky Errors in Satellite CO 2 Measurements Katherine Corbin, A. Scott Denning, Ian Baker, Aaron Wang, Lixin Lu TransCom.
Andrew Schuh, Scott Denning, Marek Ulliasz Kathy Corbin, Nick Parazoo A Case Study in Regional Inverse Modeling.
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.
Modeling approach to regional flux inversions at WLEF Modeling approach to regional flux inversions at WLEF Marek Uliasz Department of Atmospheric Science.
CHAPTER 3: SIMPLE MODELS
Application of Geostatistical Inverse Modeling for Data-driven Atmospheric Trace Gas Flux Estimation Anna M. Michalak UCAR VSP Visiting Scientist NOAA.
Modeling framework for estimation of regional CO2 fluxes using concentration measurements from a ring of towers Modeling framework for estimation of regional.
Top-Down approaches to the NACP: an overview Steven C. Wofsy, Harvard University Daniel M. Matross, UC Berkeley Colorado Springs, January, 2007 University.
Using Virtual Tall Tower [CO 2 ] Data in Global Inversions Joanne Skidmore 1, Scott Denning 1, Kevin Gurney 1, Ken Davis 2, Peter Rayner 3, John Kleist.
Andrew Schuh 1, Thomas Lauvaux 2,, Ken Davis 2, Marek Uliasz 1, Dan Cooley 1, Tristram West 3, Liza Diaz 2, Scott Richardson 2, Natasha Miles 2, F. Jay.
Ankur R Desai, UW-Madison AGU Fall 2007 B41F-03 Ankur Desai AOS 405, Spring 2010 Why Has Wind.
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.
Greenhouse gas fluxes derived from regional measurement networks and atmospheric inversions: Results from the MCI and INFLUX experiments Kenneth Davis.
Sharon M. Gourdji, K.L. Mueller, V. Yadav, A.E. Andrews, M. Trudeau, D.N. Huntzinger, A.Schuh, A.R. Jacobson, M. Butler, A.M. Michalak North American Carbon.
Indianapolis flux (INFLUX) in-situ network: quantification of urban atmospheric boundary layer greenhouse gas dry mole fraction enhancements 18 th WMO/IAEA.
Regional Inverse Modeling in North and South America for the NASA Carbon Monitoring System Arlyn Andrews (NOAA/ESRL), John Miller (NOAA/ESRL, CIRES), Thomas.
Methane and Nitrous Oxide in North America: Using an LPDM to Constrain Emissions Eric Kort Non-CO2 Workshop October 23, 2008.
Three-dimensional flows and NEE: Results from the Chequamegon Ecosystem-Atmosphere Study (ChEAS) Ken Davis, Weiguo Wang, Chuixiang Yi and others, The Pennsylvania.
Integration of biosphere and atmosphere observations Yingping Wang 1, Gabriel Abramowitz 1, Rachel Law 1, Bernard Pak 1, Cathy Trudinger 1, Ian Enting.
The Role of Virtual Tall Towers in the Carbon Dioxide Observation Network Martha Butler The Pennsylvania State University ChEAS Meeting June 5-6, 2006.
Toward a mesoscale flux inversion in the 2005 CarboEurope Regional Experiment T.Lauvaux, C. Sarrat, F. Chevallier, P. Ciais, M. Uliasz, A. S. Denning,
C. Sweeney 1, A. Karion, D.W.Guenther 1, S. E. Wolter 1, D. Neff 1, P.M. Lang 2, M.J. Heller 1, T. Conway 2, E.J. Dlugokencky 2, P. Novelli 2, L. Bruhwiler.
A direct carbon budgeting approach to study CO 2 sources and sinks ICDC7 Broomfield, September 2005 C. Crevoisier 1 E. Gloor 1, J. Sarmiento 1, L.
Interannual Variability in the ChEAS Mesonet ChEAS XI, 12 August 2008 UNDERC-East, Land O Lakes, WI Ankur Desai Atmospheric & Oceanic Sciences, University.
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,
Project goals Evaluate the accuracy and precision of the CO2 DIAL system, in particular its ability to measure: –Typical atmospheric boundary layer - free.
Forward and Inverse Modeling of Atmospheric CO 2 Scott Denning, Nick Parazoo, Kathy Corbin, Marek Uliasz, Andrew Schuh, Dusanka Zupanski, Ken Davis, and.
Precision and accuracy of in situ tower based carbon cycle concentration networks required for detection of the effects of extreme climate events on regional.
Space-Time Variability in Carbon Cycle Data Assimilation Scott Denning, Peter Rayner, Dusanka Zupanski, Marek Uliasz, Nick Parazoo, Ravi Lokupitiya, Andrew.
Downscaling the NOAA CarbonTracker Inversion for North America Gabrielle Petron 1,2, Arlyn E. Andrews 1, Michael E. Trudeau 1,2,3, Janusz Eluszkiewicz.
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.
The Virtual Tall Towers approach: A link to the global CO 2 flux network Ken Davis, Natasha Miles, Scott Richardson, Weiguo Wang, Chuixiang Yi and colleagues.
I MPACT OF THE EXPANDING MEASUREMENT NETWORK ON TOP - DOWN BUDGETING OF CO 2 SURFACE FLUXES IN N ORTH A MERICA Kim Mueller, Sharon Gourdji, Vineet Yadav,
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.
Detection and Quantification of Atmospheric Boundary Layer Greenhouse Gas Dry Mole Fraction Enhancements from Urban Emissions: Results from INFLUX NOAA.
Andrew Schuh 1, Thomas Lauvaux 2,, Ken Davis 2, Marek Uliasz 1, Dan Cooley 1, Tristram West 3, Liza Diaz 2, Scott Richardson 2, Natasha Miles 2, F. Jay.
Cheas 2006 Meeting Marek Uliasz: Estimation of regional fluxes of CO 2 … Cheas 2006 Meeting Marek Uliasz: Estimation of regional fluxes of CO 2 …
PBL FTS Institute Retreat June 16-19, 2008 – Chorus ATM-Group Simultaneous use of greenhouse gas concentration measurements and meteorological measurements.
Wildfire activity as been increasing over the past decades Cites such as Salt Lake City are surrounded by regions at a high risk for increased wildfire.
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.
Biospheric Models as Priors Deborah Huntzinger, U. Michigan.
CO 2 Mixing/Advection by Fronts Aaron Wang Colorado State University.
Carbon Cycle Data Assimilation with a Variational Approach (“4-D Var”) David Baker CGD/TSS with Scott Doney, Dave Schimel, Britt Stephens, and Roger Dargaville.
CO2 sources and sinks in China as seen from the global atmosphere
CarboEurope Open Science Conference
Lake Superior Region Carbon Cycle
From eddies to the breath of the planet
Models of atmospheric chemistry
CO2 and O2 Concentration Measurements
Regional Carbon Fluxes in WI:
Presentation transcript:

Atmospheric Tracers and the Great Lakes Ankur R Desai University of Wisconsin

Questions Can we “see” Lake Superior in the atmosphere? Lake effect

Lake Effect Source: Wikimedia Commons

Lake Effect Source: S.Spak, UW SAGE

Questions Can we “see” Lake Superior in the atmosphere? Lake effect Carbon effect? If so, can we constrain air-lake exchange by atmospheric observations? If that, can we compare terrestrial and aquatic regional fluxes?

Carbon Effect? Is the NOAA/UW/PSU WLEF tall tower greenhouse gas observatory adequate for sampling Lake Superior air?

First A little bit about atmospheric tracers and inversions…

Classic Inversion Source: S. Denning, CSU

Source: NOAA ESRL

Flask Analysis

Gurney et al (2002) Nature

Regional Sources/Sinks Global cooperative sampling network not sufficient to detail processes at sub-seasonal, sub-continental, and sub-biome scale Weekly/monthly sampling Low spatial density Poorly constrained inversion

Regional Sources/Sinks Global cooperative sampling network not sufficient to detail processes at sub-seasonal, sub-continental, and sub-biome scale Weekly/monthly sampling Low spatial density Poorly constrained inversion

A Tall Tower

In Situ Sampling

What We See

Continental Sources/Sinks

Where We See Surface footprint influence function for tracer concentrations can be computed with LaGrangian ensemble back trajectories transport model wind fields, mixing depths (WRF) particle model (STILT)

Where We See

Where We See Source: A. Andrews, NOAA ESRL

Regional Sources/Sinks Global cooperative sampling network not sufficient to detail processes at sub-seasonal, sub-continental, and sub-biome scale Weekly/monthly sampling Low spatial density Poorly constrained inversion

NOAA Tall Tower Network

Tower Sensitivities

Regional Sources/Sinks Global cooperative sampling network not sufficient to detail processes at sub-seasonal, sub-continental, and sub-biome scale Weekly/monthly sampling Low spatial density Poorly constrained inversion

Bayesian Regional Inversions

CarbonTracker (NOAA)

Terrestrial Flux Annual NEE (gC m-2 yr-1) -160 (-60 – -320) Buffam et al (submitted) -200

CarbonTracker (NOAA)

Problems With Regional Inversions It is still an under-constrained problem! Assumptions about surface forcing can skew results Great Lakes are usually ignored Sensitive to assumptions about “inflow” fluxes Sensitive to error covariance structure in Bayesian optimization Transport models have more error at higher resolution Great Lakes have complex meteorology

Simpler Techniques Boundary Layer Budgeting Equilibrium Boundary Layer Compare [CO2] of lake and non-lake trajectory air WRF-STILT nested grid tracer transport model Estimate boundary layer depth and advection timescale to yield flux Equilibrium Boundary Layer Compare [CO2] of free troposphere and boundary layer air averaged over synoptic cycles Estimate subsidence rate to yield flux

There Is a Lake Signal Source: N. Urban (MTU)

We Might See It at WLEF Source: M. Uliasz, CSU

EBL method (Helliker et al, 2004) Mixed layer Free troposphere Surface flux

Onward Trajectory analysis and simple budgets – see next talk by Victoria Vasys Attempting regional flux inversions with lakes explicitly considered – in progress (A. Schuh, CSU) Direct eddy flux measurements over the lake – in progress (P. Blanken, CU; N. Urban, MTU)

I See Eddies

Fluxnet

Flux Mesonet

Lost Creek Shrub “Wetland”

Trout Lake NEE (preliminary) Source: M. Balliett, UW

Thanks! CyCLeS project: G. Mckinley, N. Urban, C. Wu, V. Bennington, N. Atilla, C. Mouw, and others, NSF NSF REU: Victoria Vasys WLEF: A. Andrews, NOAA ESRL, R. Strand, WI ECB; J. Thom, UW; R. Teclaw, D. Baumann, USFS NRS WRF-STILT: A. Michalak, D. Huntzinger, S. Gourdji, U. Michigan; J. Eluszkiewicz, AER Regional Inversions: M. Uliasz, S. Denning, A. Schuh, CSU EBL: B. Helliker, U. Penn Eddy flux: P. Blanken, CU