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Land-Atmosphere Responses to a Total Solar Eclipse in Three Ecosystems With Contrasting Structure and Physiology
J D Wood1, E J Sadler2, N I Fox1
1School of Natural Resources, University of Missouri, Columbia, Missouri, USA.
During a 2017 solar eclipse, land-atmosphere interactions were studied across forest, prairie, and soybean fields. Turbulence and energy fluxes significantly decreased, with muted air temperature changes.
Area of Science:
- Atmospheric Science
- Ecology
- Meteorology
Background:
- The 2017 total solar eclipse offered a unique opportunity to study land-atmosphere interactions.
- Understanding ecosystem responses to rapid changes in solar irradiance is crucial for climate modeling.
Purpose of the Study:
- To investigate the effects of the 2017 solar eclipse on land-atmosphere exchanges in three distinct ecosystems: forest, prairie, and soybeans.
- To quantify changes in turbulence, energy fluxes, and surface conductance during the eclipse.
Main Methods:
- Field experiments were conducted at forest, prairie, and soybean sites in Mid-Missouri during the 2017 total solar eclipse.
- Measurements included solar irradiance, wind velocity, friction velocity, and eddy fluxes of energy (latent and sensible heat).
- Canopy-scale time constants for surface conductance were estimated for the prairie site.
Main Results:
- Turbulence was suppressed across all sites, with significant decreases in wind and friction velocities.
- Eddy fluxes of latent and sensible heat were highly coherent with solar forcing, approaching 0 W/m² and changing direction.
- The prairie site exhibited a canopy-scale time constant for surface conductance light response of 10 minutes.
- Air temperature decreased by 1.5-2.5 °C, a muted response attributed to moist conditions and lack of topographic effects.
Conclusions:
- Solar eclipses significantly impact land-atmosphere energy exchange dynamics across different ecosystems.
- Ecosystem type influences the magnitude of turbulence suppression and energy flux responses.
- The study provides valuable data for validating land surface models under extreme radiative forcing events.
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