- Atmospheric and Environmental Gas Dynamics
- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Water-Energy-Food Nexus Studies
- Atmospheric chemistry and aerosols
- Air Quality and Health Impacts
- Water resources management and optimization
- Climate change impacts on agriculture
- Horticultural and Viticultural Research
- Soil Carbon and Nitrogen Dynamics
- Water Quality Monitoring and Analysis
- Hydrocarbon exploration and reservoir analysis
- Soil and Water Nutrient Dynamics
- Plant Ecology and Soil Science
- Atmospheric Ozone and Climate
- Meteorological Phenomena and Simulations
- Land Use and Ecosystem Services
- Environmental Quality and Pollution
- Plant responses to elevated CO2
- Sustainable Development and Environmental Policy
- Peatlands and Wetlands Ecology
- Urban Heat Island Mitigation
- MXene and MAX Phase Materials
- Nanoparticles: synthesis and applications
Carnegie Institution for Science
2022-2025
Duke University
2024
California Institute of Technology
2019-2023
Shanghai Institute for Science of Science
2023
Jet Propulsion Laboratory
2021
Earth Island Institute
2021
Columbia University
2021
Abstract Timely and accurate monitoring of crops is essential for food security. Here, we examine how well solar‐induced chlorophyll fluorescence (SIF) can inform crop productivity across the United States. Based on tower‐level observations process‐based modeling, find highly linear gross primary production (GPP):SIF relationships C4 crops, while C3 show some saturation GPP at high light when SIF continues to increase. yield higher GPP:SIF ratios (30–50%) primarily because most sensitive...
Large-scale crop yield prediction is critical for early warning of food insecurity, agricultural supply chain management, and economic market. Satellite-based Solar-Induced Chlorophyll Fluorescence (SIF) products have revealed hot spots photosynthesis over global croplands, such as in the U.S. Midwest. However, to what extent these satellite-based SIF can enhance performance when benchmarking against other existing satellite data remains unclear. Here we assessed benefits using three maize...
Abstract Rain-fed agricultural systems, which solely depend on green water (i.e. soil moisture from rainfall), sustain ∼60% of global food production and are particularly vulnerable to vagaries in temperature precipitation patterns, intensifying due climate change. Here, using projections crop demand availability under warming scenarios, we assess scarcity—defined when the rainfall regime is unable meet requirements. With present-day conditions, for 890 million people lost because scarcity....
Cities worldwide are experiencing record-breaking summer temperatures. Urban environments exacerbate extreme heat, resulting in not only the urban heat island but also intracity variations exposure. Understanding these disparities is crucial to support equitable climate mitigation and adaptation efforts. We found persistent negative correlations between daytime land surface temperature (LST) median household income across Los Angeles metropolitan area based on Ecosystem Spaceborne Thermal...
Air pollution poses a critical public health threat around many megacities but in an uneven manner. Conventional models are limited to depict the highly spatial- and time-varying patterns of ambient pollutant exposures at community scale for megacities. Here, we developed machine-learning approach that leverages dynamic traffic profiles continuously estimate community-level year-long air concentrations Los Angeles, U.S. We found introduction real-world data significantly improved spatial...
Abstract While large‐scale floods directly impact human lives and infrastructures, they also profoundly agricultural productivity. New satellite observations of vegetation activity atmospheric CO 2 offer the opportunity to quantify effects such extreme events on cropland carbon sequestration. Widespread flooding during spring early summer 2019 induced conditions that delayed crop planting across U.S. Midwest. As a result, solar‐induced chlorophyll fluorescence from TROPOspheric Monitoring...
Abstract Legislation in the State of California mandates reductions emissions short‐lived climate pollutants 40% from 2013 levels by 2030 for CH 4 . Identification sector(s) responsible these and their temporal spatial variability is a key step achieving goals. Here, we determine Los Angeles 2011–2017 using mountaintop remote sensing mapping spectrometer. We show that pattern contains both seasonal nonseasonal contributions. find component peaks winter correlated ( R 2 = 0.58) with utility...
Abstract Plant growth and crop harvest are impacted by both climate change air pollution. However, their relative importance in yields remains elusive, especially heavily polluted regions. Here we develop yield prediction models, based on a large volume of historical data, as well pollution records China since 1980. A long‐term surface ozone concentration data set is developed from machine‐learning model various observations. An assessment four factors reveals the critical role particulate...
Abstract. At the leaf level, stomata control exchange of water and carbon across air–leaf interface. Stomatal conductance is typically modeled empirically, based on environmental conditions at surface. Recently developed stomatal optimization models show great skills predicting fluxes both tree levels. However, how well perform larger scales has not been extensively evaluated. Furthermore, are often used with simple single-leaf representations canopy radiative transfer (RT), such as big-leaf...
Aerosols can affect photosynthesis through radiative perturbations such as scattering and absorbing solar radiation. This biophysical impact has been widely studied using field measurements, but the sign magnitude at continental scales remain uncertain. Solar-induced fluorescence (SIF), emitted by chlorophyll, strongly correlates with photosynthesis. With recent advancements in Earth observation satellites, we leverage SIF observations from Tropospheric Monitoring Instrument (TROPOMI)...
Soil respiration (SR) is one of the largest land-atmosphere carbon fluxes. Since industrial revolution, human activities have altered atmospheric nitrogen (N) deposition in forests, potentially affecting biotic and changing SR. However, this highly uncertain, as mixed effects N inputs on SR (i.e., increasing vs. decreasing) were observed global forests. Here we synthesized data from addition experiments to quantitatively analyze how increases or decreases The revealed patterns consistent...
Abstract The understanding and modeling of photosynthetic dynamics affected by climate variability can be highly uncertain. In this paper, we examined a well‐characterized eddy covariance site in drought‐prone temperate deciduous broadleaf forest combining tower measurements satellite observations. We find that an increase spring temperature usually leads to enhanced gross primary production (GPP), but GPP reduction late growing season due water limitation. evaluated how well coupled...
Tropical forests play a pivotal role in regulating the global carbon cycle. However, response of these to changes absorbed solar energy and water supply under changing climate is highly uncertain. Three-year (2018-2021) spaceborne high-resolution measurements solar-induced chlorophyll fluorescence (SIF) from TROPOspheric Monitoring Instrument (TROPOMI) provide new opportunity study gross primary production (GPP) more broadly tropical forest dynamics differences climate. SIF has been shown be...
Abstract. At the leaf level, stomata control exchange of water and carbon across air-leaf interface. Stomatal conductance is typically modeled empirically, based on environmental conditions at surface. Recently developed stomatal optimization models show great skills predicting fluxes both tree levels. However, it has not been evaluated how well perform larger scales. Furthermore, are often used with simple single-leaf representations canopy radiative transfer (RT), such as big-leaf models....
Abstract Extreme climate events are becoming more frequent, with poorly understood implications for carbon sequestration by terrestrial ecosystems. A better understanding will critically depend on accurate and precise quantification of ecosystems responses to these events. Taking the 2019 US Midwest floods as a case study, we investigate current capabilities tracking regional flux anomalies “top‐down” inversion analyses that assimilate atmospheric CO 2 observations. For this analysis,...
Abstract An increase in the seasonal cycle amplitude (SCA) of atmospheric CO 2 since 1960s has been observed Northern Hemisphere (NH). However, underlying dominant drivers are still debated. The peak season uptake by vegetation is critical shaping seasonality. Using satellite‐upscaled gross primary production (GPP) from FLUXCOM and near‐infrared reflectance (NIR V ), we demonstrate that GPP increased across NH over last two decades. We relate this productivity to changes SCA using an...
Abstract Since the industrial revolution, accelerated atmospheric nitrogen (N) deposition by human activities have increased N availability in forest ecosystems close to settlements, potentially causing many nitrogen-limited forests become nitrogen-saturated, with significant effects on productivity, biodiversity, and biogeochemical cycles. Four decades after recognizing saturation problem, however, global patterns of still remain uncertain. In N-saturated forests, oversupply leads higher...