CHEESEHEAD19

Lake and wetland area in Chequamegon National Forest, Wisconsin. Photo: goodfreephotos.com

Lake and wetland area in Chequamegon National Forest, Wisconsin. Photo: goodfreephotos.com

CHEESEHEAD is an intensive field-campaign designed specifically to address long-standing puzzles regarding the role of atmospheric boundary-layer responses to scales of spatial heterogeneity in surface-atmosphere heat and water exchanges.

 

PRINCIPAL INVESTIGATORS

Ankur R Desai
Stefan Metzger (Battelle Ecology)
Grant Petty
Phil Townsend (Forest and Wildlife Ecology)
Mark Schwartz (UW-Milwaukee)
Rose Pertzborn (SSEC)

Staff

Jonathan Thom (SSEC)
Ke Xu (U Michigan)
Ryan Clare (UW-Madison)
Sreenath Paleri (UW-Madison)

 

Overview

The living biosphere interacts with atmospheric processes at a multitude of scales. Understanding these processes requires integration of multiple observations for comparison to theories embedded in atmospheric models. But, all observations mismatch the scale of all models. Therefore, spatial and temporal scaling of surface fluxes is fundamental to how we evaluate theories on what happens within the sub-grid of atmospheric models and how those feed back onto larger scale dynamics. The Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors (CHEESEHEAD) is an intensive field-campaign designed specifically to address long-standing puzzles regarding the role of atmospheric boundary-layer responses to scales of spatial heterogeneity in surface-atmosphere heat and water exchanges.

Intellectual Merit

The high-density observing network is coupled to large eddy simulation (LES) and machine-learning scaling-experiments to better understand sub-mesoscale responses and improve numerical weather and climate prediction formulations of sub-grid processes. This project will advance spatiotemporal scaling methods for heterogeneous land surface properties and fluxes and theories on the scales at which the lower atmosphere responds to surface heterogeneity. CHEESEHEAD aims to provide a level of observation density and instrumentation reliability never previously achieved to test and develop hypotheses on spatial heterogeneity and atmosphere feedbacks.

Broader Impacts

The experiment generates knowledge that advances the science of surface flux measurement and modeling, relevant to many scientific applications such as numerical weather prediction, climate change, energy resources, and computational fluid dynamics. The research will train next generation land-atmosphere graduate and undergraduate students. Field support outreach and teacher training is included via middle, high school, and undergraduate student involvement at nearby schools and colleges in coordination with UCAR's (University Corporation for Atmospheric Research) GLOBE program, Northland College, and local school districts. The database of observations and models will be made immediately available to the community and public for general use for further scientific advancement.

Instrument, Education and Site Leads

  • SPARC (SSEC): Tim Wagner, Erik Olson, Wayne Feltz

  • University of Wyoming King Air: Al Rodi, Zhien Wang

  • UW Ultralight: Grant Petty (UW-Madison)

  • UW Spectral Explorer: Phil Townsend (UW-Madison)

  • NCAR Instrumented Surface Flux Facilities: Steve Oncley (NCAR)

  • NCAR Integrated Sounding System: Bill Brown (NCAR)

  • KIT IMK-IFU Wind Lidar and LES development: Matthias Mauder (KIT)

  • NEON Mobile Deployment Platform, Ameriflux mobile systems

  • Field support: Linda Parker (USFS), Scott Bowe (Kemp Natural Resources Station)

  • Existing tall tower partners: Arlyn Andrews/Jon Kofler (NOAA GHG, flasks, airborne profiles), Paul Wennberg/Gretchen Keppel-Aleks (TCCON), Marek Zreda (COSMOS)

  • Education/outreach: Rose Pertzborn (SSEC/GLOBE), Jon Martin (Northland College), Mike Notaro (CCR), April Hiscox (U South Carolina), Butternut, WI school district, CLASS ACT charter school (Park Falls, WI)

Research collaborators

  • Paul Stoy (Montana State)

  • Fabien Gibert (LMD Polytechnique)

  • Ken Davis (Penn State)

 

Project news & events

 

Project gallery

 
NSF_4-Color_bitmap_Logo.png
 

Award Abstract #1822420
$1,495,770
2018-2021



Positions

Interested students who want to do a Ph.D., undergraduate internship, or post-doc, please contact Ankur.


Publications and presentations

Advancing the science of Earth energy and carbon exchanges
Carnegie Institute of Washington Global Ecology, Stanford University, Palo Alto, CA, Mar 19, 2019 (invited)

Environmental Science Program, Ohio State University, Columbus, OH, Feb 15, 2019 (invited)

Scaling of the Carbon, Energy Exchange, and Evapotranspiration over Heterogeneous Ecosystems

Ke Xu, UW AOS Special Seminar (PhD defense) Mar 16, 2018

How many flux towers are enough? How elaborate of a scaling is enough?

Ke Xu, Session B24D , AGU Fall 2017 Meeting, New Orleans, LA USA, Dec 12, 2017

Don’t we have enough flux towers already?

Land, Atmoshere, Water Research Seminar, UC-Davis, Davis, CA, Oct 25, 2017

How many flux towers are enough? Energy balance closure and large eddy simulation as diagnostic tools for secondary circulations

AMS 22nd Meeting on Boundary Layers and Turbulence, Salt Lake City, UT, Jun 21, 2016

Sühring, M., Metzger, S., Xu, K., and Desai, A.R., 2019. Tradeoffs in flux dis-aggregation: a large-eddy simulation study. Boundary Layer Meteorology, 170, 69–93, doi:10.1007/s10546-018-0387-x.

Xu, K., Metzger, S., Desai, A.R., 2018 Surface-atmosphere exchange in a box: Space-time resolved storage and net vertical fluxes from tower-based eddy covariance. Agricultural and Forest Meteorology, 255, 81-91, doi:10.1016/j.agrformet.2017.10.011(link) (companion from Metzger et al)

Xu, K., Metzger, S., Desai, A.R., 2017. Upscaling tower-observed turbulent exchange at fine spatio- temporal resolution using environmental response functions. Agricultural and Forest Meteorology, 232:10-22, doi:10.1016/j.agrformet.2016.07.019(link)


Data and Code

GitHub repository, including project narrative and experiment

EOL data repository

Experimental design


EXPLORE OTHER PROJECTS