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A list of all pages that have property "CSDMS meeting abstract" with value "Extreme drought events are becoming more frequent and severe. For example, since the flash drought of 2012 that ravaged the central United States, 2019 was the only year that has not experienced a billion dollar drought disaster. Examining how vegetation-atmosphere interactions change during extreme drought events can improve our understanding of how resilient different plants are at dealing with water stress during drought. We couple a prognostic phenology routine to a 1-D version of the Duke Coupled surface-subsurface Hydrology Model with dynamic vegetation (DCHM-V) to simultaneously simulate changes in plant life stage with water, energy, and carbon fluxes. The predictive phenology model simulates daily changes in canopy greenness and density based on the current meteorological conditions within the DCHM-V. We run the DCHM-V at a 4 km spatial resolution and hourly time step for pixels encompassing three AmeriFlux sites in the Midwestern United States. Modeling phenological changes and resulting land-atmosphere interactions allows us to investigate physical processes governing vegetation water use strategies in response to flash drought. Results show that vegetation under average water-use scenarios experience smaller reductions in growth as compared to isohydric or anisohydric water-use strategies. Transpiration dominates evapotranspiration with ample precipitation but is nearly cut in half during extreme drought resulting in reduced plant water use efficiency. These findings demonstrate the importance of incorporating dynamic phenological when investigating how vegetation modulates water, energy, and carbon under different water stress conditions, and have implications for improving predictions of drought impacts on the land surface.". Since there have been only a few results, also nearby values are displayed.

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2023 CSDMS meeting-089 + (Extreme drought events are becoming more f … Extreme drought events are becoming more frequent and severe. For example, since the flash drought of 2012 that ravaged the central United States, 2019 was the only year that has not experienced a billion dollar drought disaster. Examining how vegetation-atmosphere interactions change during extreme drought events can improve our understanding of how resilient different plants are at dealing with water stress during drought. We couple a prognostic phenology routine to a 1-D version of the Duke Coupled surface-subsurface Hydrology Model with dynamic vegetation (DCHM-V) to simultaneously simulate changes in plant life stage with water, energy, and carbon fluxes. The predictive phenology model simulates daily changes in canopy greenness and density based on the current meteorological conditions within the DCHM-V. We run the DCHM-V at a 4 km spatial resolution and hourly time step for pixels encompassing three AmeriFlux sites in the Midwestern United States. Modeling phenological changes and resulting land-atmosphere interactions allows us to investigate physical processes governing vegetation water use strategies in response to flash drought. Results show that vegetation under average water-use scenarios experience smaller reductions in growth as compared to isohydric or anisohydric water-use strategies. Transpiration dominates evapotranspiration with ample precipitation but is nearly cut in half during extreme drought resulting in reduced plant water use efficiency. These findings demonstrate the importance of incorporating dynamic phenological when investigating how vegetation modulates water, energy, and carbon under different water stress conditions, and have implications for improving predictions of drought impacts on the land surface.ns of drought impacts on the land surface.)

2023 CSDMS meeting-089 +