Can satellite greenhouse gas remote sensing capture regional spatial variability in fluxes, drivers, and atmospheric response?
Abstract
Through the years, satellite greenhouse gas remote sensing has promised wall-to-wall coverage of Earth's carbon and water exchange, in land and atmosphere. To a major extent, this has been successful in demonstrating global scale patterns and trends. However, time and again, studies show greenhouse gas based satellites fail to resolve regional variability in space or time, which is needed for characterizing uncertainty and sensitivity. Further, there are limited high-density observations for doing so. Here, we evaluate spatial variability in high-density eddy fluxes of carbon and water made by 20 towers in a 100 square kilometer area over a mixed forest landscape along with high-resolution airborne and ground-based remotely sensed observations of atmospheric carbon dioxide and water vapor and hyperspectral surface reflectance. These measurements were made in summer 2019 as part of the Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors (CHEESEHEAD19) NSF field project. This high-density observing network can serve as a benchmark for evaluating observing system uncertainty in satellite retrievals of these quantities from current and proposed sensors.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.A51E..03D
- Keywords:
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- 3322 Land/atmosphere interactions;
- ATMOSPHERIC PROCESSES;
- 0412 Biogeochemical kinetics and reaction modeling;
- BIOGEOSCIENCES;
- 0428 Carbon cycling;
- BIOGEOSCIENCES;
- 0480 Remote sensing;
- BIOGEOSCIENCES