Jinfeng Chang

ORCID: 0000-0003-4463-7778
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About
Contact & Profiles
Research Areas
  • Atmospheric and Environmental Gas Dynamics
  • Soil Carbon and Nitrogen Dynamics
  • Climate variability and models
  • Agriculture Sustainability and Environmental Impact
  • Plant Water Relations and Carbon Dynamics
  • Climate change and permafrost
  • Peatlands and Wetlands Ecology
  • Hydrology and Watershed Management Studies
  • Cryospheric studies and observations
  • Geology and Paleoclimatology Research
  • Climate change impacts on agriculture
  • Land Use and Ecosystem Services
  • Forest Management and Policy
  • Atmospheric chemistry and aerosols
  • Ecology and Vegetation Dynamics Studies
  • Environmental Impact and Sustainability
  • Rangeland Management and Livestock Ecology
  • Soil and Water Nutrient Dynamics
  • Flood Risk Assessment and Management
  • Pasture and Agricultural Systems
  • Methane Hydrates and Related Phenomena
  • Plant responses to elevated CO2
  • Bioenergy crop production and management
  • Climate Change Policy and Economics
  • Remote Sensing in Agriculture

Zhejiang University
2020-2025

National Marine Environmental Forecasting Center
2025

Ministry of Natural Resources
2025

International Institute for Applied Systems Analysis
2020-2024

Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques
2015-2024

Zhejiang Academy of Social Sciences
2022-2024

China Agricultural University
2022

Centre National de la Recherche Scientifique
2013-2021

Laboratoire des Sciences du Climat et de l'Environnement
2013-2021

Université de Versailles Saint-Quentin-en-Yvelines
2013-2021

Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, terrestrial biosphere is important to better understand global cycle, support development climate policies, project future change. Here we describe data sets a methodology quantify all major components budget, including uncertainties, based on combination range data, algorithms, statistics, model estimates interpretation by broad scientific community. We discuss...

10.5194/essd-7-349-2015 article EN cc-by Earth system science data 2015-12-07

Our understanding and quantification of global soil nitrous oxide (N2 O) emissions the underlying processes remain largely uncertain. Here, we assessed effects multiple anthropogenic natural factors, including nitrogen fertilizer (N) application, atmospheric N deposition, manure land cover change, climate rising CO2 concentration, on N2 O for period 1861-2016 using a standard simulation protocol with seven process-based terrestrial biosphere models. Results suggest have increased from 6.3 ±...

10.1111/gcb.14514 article EN Global Change Biology 2018-11-10

Global impact models represent process-level understanding of how natural and human systems may be affected by climate change. Their projections are used in integrated assessments Here we test, for the first time, systematically across many important systems, well such capture impacts extreme conditions. Using 2003 European heat wave drought as a historical analogue comparable events future, find that majority underestimate extremeness sectors agriculture, terrestrial ecosystems,...

10.1038/s41467-019-08745-6 article EN cc-by Nature Communications 2019-03-01

Abstract Nitrous oxide (N 2 O) is an important greenhouse gas and also ozone-depleting substance that has both natural anthropogenic sources. Large estimation uncertainty remains on the magnitude spatiotemporal patterns of N O fluxes key drivers production in terrestrial biosphere. Some biosphere models have been evolved to account for nitrogen processes show capability simulate emissions from land ecosystems at global scale, but large discrepancies exist among their estimates primarily...

10.1175/bams-d-17-0212.1 article EN Bulletin of the American Meteorological Society 2018-01-09

Abstract. The high-latitude regions of the Northern Hemisphere are a nexus for interaction between land surface physical properties and their exchange carbon energy with atmosphere. At these latitudes, two pools planetary significance – those permanently frozen soils (permafrost), great expanse boreal forest vulnerable to destabilization in face currently observed climatic warming, speed intensity which expected increase time. Improved projections future Arctic ecosystem transformation...

10.5194/gmd-11-121-2018 article EN cc-by Geoscientific model development 2018-01-15

Abstract Grasslands absorb and release carbon dioxide (CO 2 ), emit methane (CH 4 ) from grazing livestock, nitrous oxide (N O) soils. Little is known about how the fluxes of these three greenhouse gases, managed natural grasslands worldwide, have contributed to past climate change, or roles pastures versus grasslands. Here, global trends regional patterns full gas balance are estimated for period 1750 2012. A new spatially explicit land surface model applied, separate direct effects human...

10.1038/s41467-020-20406-7 article EN cc-by Nature Communications 2021-01-05

Abstract. In support of the global stocktake Paris Agreement on climate change, this study presents a comprehensive framework to process results an ensemble atmospheric inversions in order make their net ecosystem exchange (NEE) carbon dioxide (CO2) flux suitable for evaluating national greenhouse gas inventories (NGHGIs) submitted by countries United Nations Framework Convention Climate Change (UNFCCC). From we also deduced anthropogenic methane (CH4) emissions regrouped into fossil and...

10.5194/essd-14-1639-2022 article EN cc-by Earth system science data 2022-04-11

Abstract. We conduct a global inverse analysis of 2010–2018 GOSAT observations to better understand the factors controlling atmospheric methane and its accelerating increase over period. The inversion optimizes anthropogenic emissions their trends on 4∘×5∘ grid, monthly regional wetland emissions, annual hemispheric concentrations tropospheric OH (the main sink methane). use an analytical solution Bayesian optimization problem that provides closed-form estimates error covariances information...

10.5194/acp-21-3643-2021 article EN cc-by Atmospheric chemistry and physics 2021-03-10

Abstract. Global water models (GWMs) simulate the terrestrial cycle on global scale and are used to assess impacts of climate change freshwater systems. GWMs developed within different modelling frameworks consider underlying hydrological processes, leading varied model structures. Furthermore, equations describe various processes take forms generally accessible only from individual codes. These factors have hindered a holistic detailed understanding how operate, yet such an is crucial for...

10.5194/gmd-14-3843-2021 article EN cc-by Geoscientific model development 2021-06-24

China's massive wave of urbanization may be threatened by land subsidence. Using a spaceborne synthetic aperture radar interferometry technique, we provided systematic assessment subsidence in all major cities from 2015 to 2022. Of the examined urban lands, 45% are subsiding faster than 3 millimeters per year, and 16% 10 affecting 29 7% population, respectively. The appears associated with range factors such as groundwater withdrawal weight buildings. By 2120, 22 26% coastal lands will have...

10.1126/science.adl4366 article EN Science 2024-04-18

Global estimates of the size, distribution, and vulnerability soil inorganic carbon (SIC) remain largely unquantified. By compiling 223,593 field-based measurements developing machine-learning models, we report that global soils store 2305 ± 636 (±1 SD) billion tonnes as SIC over top 2-meter depth. Under future scenarios, acidification associated with nitrogen additions to terrestrial ecosystems will reduce (0.3 meters) up 23 next 30 years, India China being most affected. Our synthesis...

10.1126/science.adi7918 article EN Science 2024-04-11

Abstract. This paper describes the rationale and protocol of first component third simulation round Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a, http://www.isimip.org, last access: 2 November 2023) associated set climate-related direct human forcing data (CRF DHF, respectively). The observation-based forcings for time include high-resolution observational climate derived by orographic downscaling, monthly to hourly coastal water levels, wind fields with historical tropical...

10.5194/gmd-17-1-2024 article EN cc-by Geoscientific model development 2024-01-04
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