A5020799143- Climate variability and models
- Atmospheric and Environmental Gas Dynamics
- Plant Water Relations and Carbon Dynamics
- Peatlands and Wetlands Ecology
- Soil Carbon and Nitrogen Dynamics
- Fire effects on ecosystems
- Climate change and permafrost
- Hydrology and Watershed Management Studies
- Meteorological Phenomena and Simulations
- Soil Moisture and Remote Sensing
- Soil and Unsaturated Flow
- Plant responses to elevated CO2
- Soil Geostatistics and Mapping
- Cryospheric studies and observations
- Carbon Dioxide Capture Technologies
- Atmospheric chemistry and aerosols
- Remote Sensing in Agriculture
- Wind and Air Flow Studies
- Irrigation Practices and Water Management
- Scientific Research and Discoveries
- 3D Modeling in Geospatial Applications
- Nonlinear Dynamics and Pattern Formation
- Coastal wetland ecosystem dynamics
- Geothermal Energy Systems and Applications
- Microbial Community Ecology and Physiology
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2019-2025
Sun Yat-sen University
2018-2024
Shandong Institute of Metrology
2024
University of Oklahoma
2017-2022
Northern Arizona University
2017-2020
CSIRO Oceans and Atmosphere
2016-2019
China University of Mining and Technology
2013-2015
Beijing Normal University
2013-2014
Abstract Evapotranspiration (ET) is the process by which liquid water becomes vapor and energetically this accounts for much of incoming solar radiation. If ET did not occur temperatures would be higher, so understanding trends crucial to predict future temperatures. Recent studies have reported prolonged declines in recent decades, although these may relate climate variability. Here, we used a well-validated diagnostic model estimate daily during 1981–2012 its three components:...
Abstract Modeling land surface processes requires complete and reliable soil property information to understand hydraulic heat dynamics related processes, but currently, there is no data set of thermal parameters that can meet this demand for global use. In study, we propose a fitting approach obtain the optimal water retention from ensemble pedotransfer functions (PTFs), which are evaluated using coverage National Cooperative Soil Survey Characterization Database show better performance...
Abstract. High-quality gridded soil moisture products are essential for many Earth system science applications, while the recent reanalysis and remote sensing data often available at coarse resolution only surface soil. Here, we present a 1 km long-term dataset of derived through machine learning trained by in situ measurements 1789 stations over China, named SMCI1.0 (Soil Moisture China data, version 1.0). Random forest is used as robust approach to predict using ERA5-Land time series, leaf...
Abstract Northeast China (NEC) is the most prominent grain‐producing region in China. However, it currently facing significant impacts from climate change. Since climate‐related on crop yield this are a major concern for society future, quantifying change yields NEC essential to ensure future food security. This study aimed quantify effects of and explore adaptation strategies using Crop Growth Model (PCSE) driven by downscaled CMIP6 projections under four Shared Socioeconomic Pathways...
Significance How evergreen tree needle longevity varies from south to north in the boreal biome is poorly quantified and therefore ignored vegetation earth system models. This problematic, because translates directly into turnover rate profoundly affects carbon cycling both nature computer Herein we present data for five widespread conifers, including pines spruces, >125 sites along a 2,000-km gradient. For each species, individuals colder, more northern environments had longer life span,...
Abstract. Terrestrial ecosystems have absorbed roughly 30 % of anthropogenic CO2 emissions over the past decades, but it is unclear whether this carbon (C) sink will endure into future. Despite extensive modeling and experimental observational studies, what fundamentally determines transient dynamics terrestrial C storage under global change still not very clear. Here we develop a new framework for understanding through mathematical analysis numerical experiments. Our indicates that ultimate...
Abstract Increasing atmospheric CO 2 stimulates photosynthesis which can increase net primary production (NPP), but at longer timescales may not necessarily plant biomass. Here we analyse the four decade-long -enrichment experiments in woody ecosystems that measured total NPP and enrichment increased biomass increment by 1.05 ± 0.26 kg C m −2 over a full decade, 29.1 11.7% stimulation of gain these early-secondary-succession temperate ecosystems. This response is predictable combining (0.16...
Quantifying the changes and propagation of drought is great importance for regional eco-environmental safety water-related disaster management under global warming. In this study, phase 6 Coupled Model Intercomparison Project was employed to examine future meteorological (Standardized Precipitation Index, SPI, Standardized Precipitation–Evapotranspiration SPEI), hydrological Runoff SRI), agricultural Soil moisture SSI) two warming scenarios (SSP2-4.5 SSP5-8.5). The results show that, across...
Abstract Terrestrial ecosystems in China receive the world’s largest amount of reactive nitrogen (N) deposition. Recent controls on oxides (NO x = NO + 2 ) emissions to tackle air pollution are expected decrease N deposition, yet observed deposition fluxes remain almost stagnant. Here we show that effectiveness emission for reducing oxidized y its oxidation products) is unforeseen Eastern China, with one-unit reduction leading only 55‒76% reductions -N as opposed high (around 100%) both...
As one of the world's largest emitters greenhouse gases, China has set itself ambitious goal achieving carbon peaking and neutrality. Therefore, it is crucial to quantify magnitude trend sources sinks atmospheric dioxide (CO2), monitor China's progress toward these goals. Using state-of-the-art datasets models, this study comprehensively estimated anthropogenic CO2 emissions from energy, industrial processes product use, waste along with natural for all during 1980–2021. To recognize...
Satellite-based leaf area index (LAI) products, such as the MODIS LAI, play an essential role in land surface and climate modeling research, from regional to global scales. However, data gaps high-level noise can exist, thus limiting their applications a broader scope. Our previous work has reprocessed LAI Collection 5 (C5) product, have been widely used these years. In this study, C6.1 were broaden its application successor. We updated integrated two-step method that is for C5 implemented...
The terrestrial carbon (C) cycle has been commonly represented by a series of C balance equations to track influxes into and effluxes out individual pools in earth system models (ESMs). This representation matches our understanding processes well but makes it difficult model behaviors. It is also computationally expensive, limiting the ability conduct comprehensive parametric sensitivity analyses. To overcome these challenges, we have developed matrix approach, which reorganizes original ESM...
Soil organic carbon (SOC) is a key component of the global cycle yet it not well represented in Earth system models to accurately predict dynamics response climate change. This novel study integrated deep learning, data assimilation, 25,444 vertical soil profiles, and Community Land Model version 5 (CLM5) optimize model representation SOC over conterminous United States. We firstly constrained parameters CLM5 using observations profiles both batch mode (i.e., all individual layers one batch)...
Multifactor experiments are often advocated as important for advancing terrestrial biosphere models (TBMs), yet to date, such have only been tested against single-factor experiments. We applied 10 TBMs the multifactor Prairie Heating and CO2 Enrichment (PHACE) experiment in Wyoming, USA. Our goals were investigate how can be used constrain identify a road map model improvement. found performed poorly ambient conditions; there was wide spread simulated above-ground net primary productivity...
Abstract Quantifying contributions of errors in model structure and parameters to biases a land surface (LSM) is critical for improvement. This paper investigated the uncertainties parameterizations Noah with multiparameterization (Noah‐MP) LSM dynamic vegetation using eddy flux data. First, we conducted full factorial experiments eight subprocesses, followed by sensitivity analysis (SA) identify subprocesses which possible made significant difference. Then, based on SA results, selected...
Abstract The CO 2 efflux from soil (soil respiration (SR)) is one of the largest fluxes in global carbon (C) cycle and its response to climate change could strongly influence future atmospheric concentrations. Still, a large divergence SR estimates autotrophic (AR) heterotrophic (HR) components exists among process based terrestrial ecosystem models. Therefore, alternatively derived benchmark values are warranted for constraining various model output. In this study, we developed models on...
A photosensitive self-oscillating gel that incorporates the Belousov-Zhabotinsky reaction can undergo rhythmic mechanical oscillations. We exploit dependence of oscillation frequency on light intensity to generate both photophobic and phototropic movement under differential illumination. Our findings may be used in designing intelligent sensors execute biomimetic behaviours.
Determining whether the terrestrial biosphere will be a source or sink of carbon (C) under future climate elevated CO2 (eCO2 ) and warming requires accurate quantification gross primary production (GPP), largest flux C in global cycle. We evaluated 6 years (2007-2012) flux-derived GPP data from Prairie Heating Enrichment (PHACE) experiment, situated grassland Wyoming, USA. The were used to calibrate light response model whose basic formulation has been successfully variety ecosystems. was...