A5084208769- Atmospheric and Environmental Gas Dynamics
- Peatlands and Wetlands Ecology
- Climate variability and models
- Soil Carbon and Nitrogen Dynamics
- Climate change and permafrost
- Plant Water Relations and Carbon Dynamics
- Geology and Paleoclimatology Research
- Cryospheric studies and observations
- Atmospheric chemistry and aerosols
- Fire effects on ecosystems
- Hydrology and Watershed Management Studies
- Soil and Water Nutrient Dynamics
- Atmospheric Ozone and Climate
- Methane Hydrates and Related Phenomena
- Meteorological Phenomena and Simulations
- Hydrocarbon exploration and reservoir analysis
- Marine and coastal ecosystems
- Plant responses to elevated CO2
- Landslides and related hazards
- Soil and Unsaturated Flow
- Groundwater and Isotope Geochemistry
- Soil erosion and sediment transport
- CO2 Sequestration and Geologic Interactions
- Disaster Management and Resilience
- Flood Risk Assessment and Management
Lawrence Berkeley National Laboratory
2016-2025
Wuhan Institute of Technology
2025
University of Wisconsin–Madison
2024
Hohai University
2022-2023
Applied Materials (United States)
2023
Pacific Northwest National Laboratory
2023
Desert Research Institute
2023
Shanghai Jiao Tong University
2022
University of Delaware
2022
Lawrence Livermore National Laboratory
2022
Abstract. Understanding and quantifying the global methane (CH4) budget is important for assessing realistic pathways to mitigate climate change. Atmospheric emissions concentrations of CH4 continue increase, making second most human-influenced greenhouse gas in terms forcing, after carbon dioxide (CO2). The relative importance compared CO2 depends on its shorter atmospheric lifetime, stronger warming potential, variations growth rate over past decade, causes which are still debated. Two...
This work documents the first version of U.S. Department Energy (DOE) new Exascale Earth System Model (E3SMv1). We focus on standard resolution fully coupled physical model designed to address DOE mission-relevant water cycle questions. Its components include atmosphere and land (110-km grid spacing), ocean sea ice (60 km in midlatitudes 30 at equator poles), river transport (55 km) models. base configuration will also serve as a foundation for additional configurations exploring higher...
Heat waves (HWs) are among the most damaging climate extremes to human society. Climate models consistently project that HW frequency, severity, and duration will increase markedly over this century. For urban residents, heat island (UHI) effect further exacerbates stress resulting from HWs. Here we use a model investigate interactions between UHI HWs in 50 cities United States under current future warming scenarios. We examine UHI2m (defined as urban-rural difference 2m-height air...
<strong class="journal-contentHeaderColor">Abstract.</strong> Terrestrial biosphere models (TBMs) have become an integral tool for extrapolating local observations and understanding of land–atmosphere carbon exchange to larger regions. The North American Carbon Program (NACP) Multi-scale synthesis Model Intercomparison Project (MsTMIP) is a formal model intercomparison evaluation effort focused on improving the diagnosis attribution at regional global scales. MsTMIP builds upon current past...
Abstract This paper documents the biogeochemistry configuration of Energy Exascale Earth System Model (E3SM), E3SMv1.1‐BGC. The model simulates historical carbon cycle dynamics, including losses predicted in response to land use and cover change, responses changes climate. In addition, we introduce several innovations treatment soil nutrient limitation mechanisms, explicit dependence on phosphorus availability. suite simulations described here includes E3SM contributions Coupled...
Abstract While wetlands are the largest natural source of methane (CH 4 ) to atmosphere, they represent a large uncertainty in global CH budget due complex biogeochemical controls on dynamics. Here we present, our knowledge, first multi‐site synthesis how predictors fluxes (FCH4) freshwater vary across wetland types at diel, multiday (synoptic), and seasonal time scales. We used several statistical approaches (correlation analysis, generalized additive modeling, mutual information, random...
Abstract. Nitrous oxide (N2O) is a long-lived potent greenhouse gas and stratospheric ozone-depleting substance that has been accumulating in the atmosphere since preindustrial period. The mole fraction of atmospheric N2O increased by nearly 25 % from 270 ppb (parts per billion) 1750 to 336 2022, with fastest annual growth rate 1980 more than 1.3 yr−1 both 2020 2021. According Sixth Assessment Report Intergovernmental Panel on Climate Change (IPCC AR6), relative contribution total enhanced...
Abstract Soil organic matter decomposition and its interactions with climate depend on whether the is associated soil minerals. However, data limitations have hindered global-scale analyses of mineral-associated particulate carbon pools their benchmarking in Earth system models used to estimate cycle–climate feedbacks. Here we analyse observationally derived global estimates quantify relative proportions compute climatological temperature sensitivities as decline increasing temperature. We...
Accurate and cost-effective quantification of the carbon cycle for agroecosystems at decision-relevant scales is critical to mitigating climate change ensuring sustainable food production. However, conventional process-based or data-driven modeling approaches alone have large prediction uncertainties due complex biogeochemical processes model lack observations constrain many key state flux variables. Here we propose a Knowledge-Guided Machine Learning (KGML) framework that addresses above...
Abstract Wetland methane (CH 4 ) emissions over the Boreal–Arctic region are vulnerable to climate change and linked feedbacks, yet understanding of their long-term dynamics remains uncertain. Here, we upscaled analysed two decades (2002–2021) wetland CH emissions, representing an unprecedented compilation eddy covariance chamber observations. We found a robust increasing trend (+8.9%) with strong inter-annual variability. The majority emission increases occurred in early summer (June July)...
Abstract. Due to ongoing climate change, methane (CH4) emissions from vegetated wetlands are projected increase during the 21st century, challenging mitigation efforts aimed at limiting global warming. However, despite reports of rising emission trends, a comprehensive evaluation and attribution recent changes remains limited. Here we assessed wetland CH4 2000–2020 based on an ensemble 16 process-based models. Our results estimated average 158 ± 24 (mean 1σ) Tg yr−1 over total annual area...
Abstract. Soil is a complex system where biotic (e.g., plant roots, micro-organisms) and abiotic mineral surfaces) consumers compete for resources necessary life nitrogen, phosphorus). This competition ecologically significant, since it regulates the dynamics of soil nutrients controls aboveground productivity. Here we develop, calibrate test nutrient model that accounts multiple interacting with consumers. As applied here tropical forests, Nutrient COMpetition (N-COM) includes three primary...
Abstract Over the past several decades, land modeling community has recognized importance of nutrient regulation on global terrestrial carbon cycle. Implementations limitation in models are diverse, varying from applying simple empirical down‐regulation potential gross primary productivity under deficit conditions to more mechanistic treatments. In this study, we introduce a new approach model multinutrient (nitrogen [N] and phosphorus [P]) limitations Energy Exascale Earth System Model...
Abstract. A new process-based model TRIPLEX-GHG was developed based on the Integrated Biosphere Simulator (IBIS), coupled with a methane (CH4) biogeochemistry module (incorporating CH4 production, oxidation, and transportation processes) water table to investigate emission processes dynamics that occur in natural wetlands. Sensitivity analysis indicates most sensitive parameters evaluate from wetlands are r (defined as CO2 release ratio) Q10 production process. These two were subsequently...
Abstract Terrestrial plants assimilate anthropogenic CO 2 through photosynthesis and synthesizing new tissues. However, sustaining these processes requires to compete with microbes for soil nutrients, which therefore calls an appropriate understanding modeling of nutrient competition mechanisms in Earth System Models ( ESM s). Here, we survey existing plant–microbe theories their implementations s. We found no consensus regarding the representation that observational theoretical support...
Land surfaces dissipate energy through latent (LE) and sensible (H) heat fluxes that modulate atmospheric temperature humidity, which in return affect land surface vegetation soil processes. Within this two-way land-atmosphere coupling, partitioning (LE versus H) plays a central role connecting the atmosphere states fluxes. However, considerably large uncertainties still exist earth system models, i.e. phase 6 of Coupled Model Intercomparison Project (CMIP6). Further, underlying controls...
Wetland CH4 emissions are among the most uncertain components of global budget. The complex nature wetland processes makes it challenging to identify causal relationships for improving our understanding and predictability emissions. In this study, we used flux measurements from eddy covariance towers (30 sites 4 wetlands types: bog, fen, marsh, wet tundra) construct a causality-constrained machine learning (ML) framework explain regulative factors capture at sub-seasonal scale. We found that...
Abstract Wetlands are responsible for 20%–31% of global methane (CH 4 ) emissions and account a large source uncertainty in the CH budget. Data‐driven upscaling fluxes from eddy covariance measurements can provide new independent bottom‐up estimates wetland emissions. Here, we develop six‐predictor random forest model (UpCH4), trained on 119 site‐years flux data 43 freshwater sites FLUXNET‐CH4 Community Product. Network patterns site‐level annual means mean seasonal cycles were reproduced...