A5068100080- Remote Sensing in Agriculture
- Atmospheric and Environmental Gas Dynamics
- Climate variability and models
- Cryospheric studies and observations
- Plant Water Relations and Carbon Dynamics
- Climate change and permafrost
- Land Use and Ecosystem Services
- Urban Heat Island Mitigation
- Meteorological Phenomena and Simulations
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Species Distribution and Climate Change
- Atmospheric aerosols and clouds
- Hydrology and Watershed Management Studies
- Forest Management and Policy
- Atmospheric chemistry and aerosols
- Geophysics and Gravity Measurements
- Environmental Changes in China
- Soil Carbon and Nitrogen Dynamics
- Forest ecology and management
- Remote-Sensing Image Classification
- Solar Radiation and Photovoltaics
- Geographic Information Systems Studies
- Atmospheric Ozone and Climate
- Leaf Properties and Growth Measurement
Pacific Northwest National Laboratory
2019-2025
Tianjin University
2025
Aerospace Information Research Institute
2020-2024
Chinese Academy of Sciences
2018-2024
State Key Laboratory of Remote Sensing Science
2018-2024
Institute of Remote Sensing and Digital Earth
2018-2024
Battelle
2023-2024
Government of the United States of America
2022-2023
Lawrence Berkeley National Laboratory
2023
University of Wisconsin–Madison
2023
Abstract. Topography exerts significant influences on the incoming solar radiation at land surface. A few stand-alone regional and global atmospheric models have included parameterizations for sub-grid topographic effects radiation. However, nearly all Earth system (ESMs) that participated in Coupled Model Intercomparison Project (CMIP6) use a plane-parallel (PP) radiative transfer scheme assumes terrain is flat. In this study, we incorporated well-validated (TOP) parameterization Energy...
Abstract Remote sensing of solar‐induced fluorescence (SIF) opens a new window for quantifying key ecological variable, the terrestrial ecosystem gross primary production (GPP), because revealed strong SIF–GPP correlation. However, similar to many other remotely sensed metrics, SIF observations suffer from sun‐sensor geometry effects, which may have important impacts on relationship but remain poorly understood. Here we used SIF, globally distributed tower GPP data, and mechanistic model...
Abstract The terrestrial carbon cycle is a major source of uncertainty in climate projections. Its dominant fluxes, gross primary productivity (GPP), and respiration (in particular soil respiration, R S ), are typically estimated from independent satellite-driven models upscaled situ measurements, respectively. We combine carbon-cycle flux estimates partitioning coefficients to show that historical global GPP irreconcilable. When we estimate based on measurements some assumptions about :GPP...
Abstract. With the highest albedo of land surface, snow plays a vital role in Earth's surface energy budget and water cycle. Snow is primarily controlled by grain properties (e.g., size shape) light-absorbing particles (LAPs) such as black carbon (BC) dust. The mixing state LAPs also has impacts on LAP-induced reduction radiative forcing (RF). However, most models assume that shape spherical are externally mixed with grains. This study improves transfer model Energy Exascale Earth System...
Abstract. Earth system models (ESMs) are progressively advancing towards the kilometer scale (“k-scale”). However, surface parameters for land (LSMs) within ESMs running at k-scale typically derived from coarse-resolution and outdated datasets. This study aims to develop a new set of global with resolution 1 km multiple years 2001 2020, utilizing latest most accurate available Specifically, datasets consist related use cover, vegetation, soil, topography. Differences between newly developed...
Summary Leaf traits are essential for understanding many physiological and ecological processes. Partial least squares regression (PLSR) models with leaf spectroscopy widely applied trait estimation, but their transferability across space, time, plant functional types (PFTs) remains unclear. We compiled a novel dataset of paired spectra, 47 393 records > 700 species eight PFTs at 101 globally distributed locations multiple seasons. Using this dataset, we conducted an unprecedented...
Abstract. The Energy Exascale Earth System Model (E3SM) Land (ELM) is a state-of-the-art land surface model that simulates the intricate interactions between terrestrial and other components of system. Originating from Community (CLM) version 4.5, ELM has been under active development, with added new features functionality, including plant hydraulics, radiation–topography interaction, subsurface multiphase flow, more explicit use management practices. This study integrates v2.1 Weather...
Heterogeneous terrain significantly complicates signals received by airborne or satellite sensors. It has been demonstrated that both solar direct beam and diffuse skylight illumination conditions are significant factors influencing the anisotropy of reflectance over mountainous areas. Several models methods have developed to account for topographic effects on surface at pixel level in remote sensing. However, subtopographic generally neglected low-spatial-resolution pixels due complex law...
Abstract Aim Soil respiration ( R S ) is one of the largest fluxes in global carbon cycle. It composed by roots and heterotrophic organisms, with each component having distinctive drivers sensitivities and, consequently, varying feedback potential to climate change. Global total flux are widely studied generally accepted, but our understanding factors governing its lags far behind. Location Global. Time period 1962–2015. Major taxa Plant soil microbes. Methods Combining a newly updated...
Abstract Sub‐grid topographic heterogeneity has large impacts on surface energy balance and land‐atmosphere interactions. However, the of representing sub‐grid effects in land models (LSMs) boundary conditions remain unclear. This study analyzed evaluated representations balance, turbulent heat flux, scalar (co‐)variances Energy Exascale Earth System Model (E3SM) model (ELM). Three ELM were compared: (a) default structure (D), (b) recently developed (T), (c) high spatial resolution (1KM)....
Abstract. The lateral transport of water in the subsurface is important modulating terrestrial energy distribution. Although a few land surface models have recently included saturated flow within and across grid cells, it not default configuration Climate Model Intercomparison Project version 6 experiments. In this work, we developed model both unsaturated zones Energy Exascale Earth System (E3SM) Land 2 (ELMv2.0). new model, called ELMlat, was benchmarked against PFLOTRAN, 3D for three...
Topography complicates the modeling and retrieval of land surface albedo due to shadow effects redistribution incident radiation. Neglecting topographic may lead a significant bias when estimating over single slope. However, for rugged terrain, comprehensive systematic investigation on is currently ongoing. Accurately terrain presents challenge in remote sensing applications. In this paper, we focused development simplified estimation method snow-free at 1-km scale based 30-m fine-scale...
Possible environmental change and ecosystem degradation have received increasing attention since the construction of Three Gorges Reservoir Catchment (TGRC) in China. The advanced Google Earth Engine (GEE) cloud-based platform large number Geosciences Remote Sensing datasets archived GEE were used to analyze land use cover (LULCC) climate variation TGRC. GlobeLand30 data evaluate spatial dynamics from 2000 2010 Landsat 8 Operational Land Imager (OLI) images applied for 2015. interannual...
Abstract. Downward shortwave radiation (SW) and photosynthetically active (PAR) play crucial roles in Earth system dynamics. Spaceborne remote sensing techniques provide a unique means for mapping accurate spatiotemporally continuous SW–PAR, globally. However, any individual polar-orbiting or geostationary satellite cannot satisfy the desired high temporal resolution (sub-daily) global coverage simultaneously, while integrating fusing multisource data from complementary satellites/sensors is...
The spatial dispersion of photoelements within a vegetation canopy, quantified by the clumping index (CI), directly regulates within-canopy light environment and photosynthesis rate, but is not commonly implemented in terrestrial biosphere models to estimate ecosystem carbon cycle. A few global CI products have been developed recently with remote sensing measurements, making it possible examine impacts CI. This study deployed radiative transfer scheme Community Land Model version 5 (CLM5)...
Disentangling drought impacts on plant photosynthesis is crucial for projecting future terrestrial carbon dynamics. We examined the separate responses of canopy structure and leaf physiology to an extreme summer that occurred in 2011 over Southwest China, where weather was humid radiation main growth-limiting factor. Canopy were, respectively, represented by near-infrared reflectance vegetation (NIRv) derived from MODIS data scale fluorescence yield (Φ <italic...