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The June 2007 CLASIC and NACP Experiments Carbon fluxes, soil moisture, and land surface-atmosphere interaction


In June 2007, a regional campaign will take place in the U.S. Southern Great Plains (SGP) to estimate surface fluxes of CO2, water, and energy at 1 to 100 km scales. The goal of this campaign is to understand the influence of land cover, moisture gradients, and atmospheric transport on these fluxes and their estimation. As part of the North American Carbon Program (NACP) we will focus on comparing top-down aand bottom-up flux estimates.

This project is part of the Cloud and Land Surface Interaction Campaign (CLASIC) and NACP.

This web page describes the experiments planned during CLASIC, June 9-29, 2007. Click here for ongoing carbon cycle measurements.

Cessna 206 CIRPAS Twin Otter
cessna206 cirpastwin

Continuous CO2 and CO concentrations (CO and CH4 from NASA's Argus):

  • NOAA-ESRL 12-flask samplers
  • Flasks for high precision 14CO2
  • Large volume samples for randon concentration
  • Land-based Measurements

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Regional CO2, Water, and Energy Fluxes and Surface Forcung for CLASIC ("Bottom up")


Land-surface fluxes of energy, water, and CO2 will be modeled at 250 m resolution and aggregated to 10 km using a land surface model (ISOLSM), MODIS data, and Mesonet meteorological forcing. Goal 1. Produce fine scale, tested, land surface forcing maps for CLASIC Goal 2. Produce regional CO2 flux estimates, to compare with top-down estimates based on boundary layer budgeting and inverse modeling.

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Intensive Land Surface Characterization at Three Super Sites

There will be three Super Sites with eddy flux towers in the major land cover types (winter wheat, pasture, oak forest, summer crops).

Duke HOP


The Duke Helicopter Observation Platform (HOP) will measure CO2, water, and energy fluxes in the boundary and surface layers. layer, including the surface layer a few meters above the surface. PI: Roni Avissar.



Soil Moisture will be studied with airborne observing systems, including PSR and MODIS Airborne Simulator and JPL Passive/Active L and S band (v2). The ER-2 is flying. [More info]



The NASA ER-2 will be equipped with downward looking cloud (95-GHz) and precipitation (3-cm) radars, as well as sensors to generate high resolution fields of soil moisture for the region.

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PBL-Free Troposphere Mixing Under Condidtions of Fair Weather Cumulus

To improve models of cloud-induced fluxes and entrainment, airborne measurements of CO2 and related species in the boundary layer and free troposphere, made on days with fair weather cumulus, will be analyzed with tracer-transport and atmospheric dynamics models.


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"Top Down" Regional CO2 Flux Estimation Using Lagrangian Flights

We will use atmospheric concentration data to estimate surface fluxes and understand atmospheric transport. Planned approaches include:

  • Forward modeling of regional meteorology and CO2 concentrations using mesocale models (MM5, SIB-RAMS) with embedded CO2-tracers;
  • Boundary layer budget models of varying complexity; and
  • Inverse modeling using STILT
Fossil Fuel Emissions Southern Great Plains


A weekday in June 2002


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  • Margaret S. Torn, William J. Riley, Marc L. Fischer, Sébastien C. Biraud. Lawrence Berkeley National Laboratory
  • Tom J. Jackson. USDA/ARS Hydrology and Remote Sensing Laboratory
  • Ron Avissar. Duke University
  • Dave Billesbach. University of Nebraska,Lincoln
  • Colm Sweeney and Peter Tans. NOAA/ESRL Global Monitoring Division
  • Max Lowenstein and Jimena Lopez. NASA-Ames Research Center
  • Joe A. Berry. Carnegie Institution of Washington
  • Mark Miller. Brookhaven National Laboratory

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  • ARM web page
  • ARM CLASIC web page
  • ESD ARM Carbon web page

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This work was supported primarily by the Atmospheric Radiation Measurement program, Office of Science, U.S. Department of Energy, with additional support and collaboration from USDA, NASA, and NOAA.

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Contact the ARM Carbon Team

This work was supported primarily by the Atmospheric Radiation Measurement program, Office of Science, U.S. Department of Energy, with additional support and collaboration from USDA, NASA, and NOAA.