chore: sync ORCID publications

Author: github-actions[bot]

publications/frankenberg2018solar.qmd

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+---
+title: 'Solar Induced Chlorophyll Fluorescence: Origins, Relation to Photosynthesis and Retrieval'
+author: 'Frankenberg, C. and Berry, J.'
+type: 'journal-article'
+year: 2018
+publication: 'Comprehensive Remote Sensing'
+doi: '10.1016/b978-0-12-409548-9.10632-3'
+materials: ''
+supplement: ''
+orcid_type: 'journal-article'
+toc: false
+---
+
+## Abstract
+

publications/preprints/yao2025improved.qmd

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+---
+title: 'Improved model predictions of carbon and water fluxes by including drought legacy effects'
+author: 'Yao, Yitong and Wang, Yujie and Yin, Yi and Wood, Jeffrey D. and Frankenberg, Christian'
+type: 'preprint'
+year: 2025
+publication: ''
+doi: '10.5194/egusphere-2025-5684'
+materials: ''
+supplement: ''
+orcid_type: 'preprint'
+toc: false
+---
+
+## Abstract
+
+Abstract. Besides simultaneous influences, droughts have lasting impacts on vegetation by impairing hydraulic and photosynthetic capacities, known as the drought legacy effects. The ignorance of legacy effects in numerical simulations, such as lagged xylem recovery, may lead to significant model-observation discrepancies. However, the limited temporal resolution of most observational data makes it challenging to capture the physiological dynamics necessary to improve model accuracy. Here, we investigated the recovery of carbon flux (represented by gross primary productivity, GPP) and water flux (represented by evapotranspiration, ET) following a severe drought in 2012, using half-hourly eddy-covariance flux observations and weekly predawn leaf water potential measurements from a temperate forest in the Central US. We implemented both optimality-based and empirical stomatal models within a land surface model, testing three drought recovery scenarios for each: no recovery, full recovery, and partial recovery of xylem hydraulic conductance and photosynthetic capacity. Before and during the drought, all stomatal models performed similarly for GPP and ET. Post-drought, assuming no recovery led to underestimated ET; assuming full recovery led to overestimated GPP; and assuming partial recovery improved both, indicating persistent biochemical limitations after drought. The observed carbon-water decoupling during and after the event further points to non-stomatal constraints on photosynthesis and unequal stress on carbon and water fluxes. Our work highlights the need to account for delayed recovery of xylem hydraulics and photosynthetic capacity when modeling drought legacy effects. Further research to mechanistically represent dynamic recovery processes, particularly their timing and magnitude, is essential for improving the modeling of global carbon and water fluxes.

publications/preprints/yoon2025inferring.qmd

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+---
+title: 'Inferring drivers of tropical isoprene: competing effects of emissions and chemistry'
+author: 'Yoon, James and Wells, Kelley C. and Millet, Dylan B. and Frankenberg, Christian and Sanghavi, Suniti and Swann, Abigail L. S. and Thornton, Joel A. and Turner, Alexander J.'
+type: 'preprint'
+year: 2025
+publication: ''
+doi: '10.5194/egusphere-2025-5532'
+materials: ''
+supplement: 'https://doi.org/10.5194/egusphere-2025-5532-supplement'
+orcid_type: 'preprint'
+toc: false
+---
+
+## Abstract
+
+Abstract. Isoprene is the most significant non-methane hydrocarbon by total emissions and is an important control on the tropospheric oxidative capacity. In the atmosphere, isoprene is oxidized by the hydroxyl (OH) radical on the order of hours depending on local OH concentrations. Using isoprene retrievals from the Cross-track infrared sounder (CrIS), we monitor global isoprene column variability and observe differing isoprene column responses to El Niño-Southern Oscillation across three tropical regions: Amazonia, the Maritime Continent, and equatorial Africa. We find correlations between isoprene column variability and temperature over Amazonia, which suggests that isoprene emissions drive Amazonian isoprene variability (“emissions-controlled”). In the Maritime Continent, we find strong correlations between isoprene columns, precipitation and soil moisture, as well as an anti-correlation between isoprene and formaldehyde retrievals. These correlations suggest that isoprene columns may be modulated by non-anthropogenic NOx emissions, namely soil and biomass burning NOx (“chemistry-controlled”), although convection and lightning NOx may also modulate isoprene column retrievals if the lofted isoprene flux is large enough. In equatorial Africa, both biomass burning and temperature can explain isoprene variability during different periods, representing an intermediate regime with contributions from emissions and chemistry. We suggest that these isoprene regimes are caused by differences in the dynamic temperature and oxidant range between the three regions, and we specifically highlight oil palm plantations in the Maritime Continent as an area of co-located isoprene and soil NOx fluxes. By leveraging CrIS isoprene retrievals, we can study interactions between VOC and NOx sources over tropical areas with few in-situ observations.