This program seeks to improve understanding of surface atmosphere exchanges of carbon, water, and energy, and their roles in ecosystem-climate interactions, as well as to quantify the convective transport of CO2, water, mass, and momentum.

Highlights

Project

Atmospheric Radiation Measurement Carbon Project (ARM Carbon)

In ARM's Carbon Project, we aim to improve our ability to predict exchanges of carbon, water, and energy at the landscape scale. As we develop these models, we can better understand how the fluxes of carbon, water and energy link to land use and climate. The mixture of land uses and simple topography in the Southern Great Plains make this an ideal region to test methods of scaling flux predictions from plot to regional scales. There, we are measuring stocks and fluxes of carbon, water, and energy at various spatial and temporal scales.

Program Overview

The Atmospheric Systems Research Program focuses on improved understanding of surface atmosphere exchanges of carbon, water, and energy, and their roles in ecosystem-climate interactions, as well as to quantify the convective transport of CO2, water, mass, and momentum. Researchers in this program –

  • Observe the direct radiative effect of CO2 on climate
  • Identify the indirect effects due to carbon cycle constraints on surface water, carbon, and energy fluxes
  • Develop and improve methodology for observing and detecting these effects, and how they change over time

Projects managed under this program’s auspices assess carbon components affecting the climate. Research results lead to improved models for predicting ecosystem carbon fluxes, ecosystem-climate feedbacks, and radiative forcing of climate by greenhouse gases and aerosols.

Key sponsors and resources for this program are DOE-BER Atmospheric System Research Program, the ARM Climate Research Facility, and databases at ARM, NOAA, AmeriFlux, and Fluxnet.

Featured Projects

Project

Atmospheric Radiation Measurement Carbon Project (ARM Carbon)

In ARM's Carbon Project, we aim to improve our ability to predict exchanges of carbon, water, and energy at the landscape scale. As we develop these models, we can better understand how the fluxes of carbon, water and energy link to land use and climate. The mixture of land uses and simple topography in the Southern Great Plains make this an ideal region to test methods of scaling flux predictions from plot to regional scales. There, we are measuring stocks and fluxes of carbon, water, and energy at various spatial and temporal scales.

Justin Bagley

Postdoctoral Fellow

Phone: 510-486-5937
jbagley@lbl.gov

Primary Sponsors