Congsheng Fu

ORCID: 0000-0002-9128-7400
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About
Contact & Profiles
Research Areas
  • Plant Water Relations and Carbon Dynamics
  • Hydrology and Watershed Management Studies
  • Climate variability and models
  • Methane Hydrates and Related Phenomena
  • Marine and coastal ecosystems
  • Hydrocarbon exploration and reservoir analysis
  • Soil and Unsaturated Flow
  • Precipitation Measurement and Analysis
  • Peatlands and Wetlands Ecology
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Meteorological Phenomena and Simulations
  • Tree-ring climate responses
  • Groundwater flow and contamination studies
  • Coal Properties and Utilization
  • CO2 Sequestration and Geologic Interactions

Nanjing Institute of Geography and Limnology
2025

University of Chinese Academy of Sciences
2025

University of Connecticut
2014-2018

Abstract. Effects of hydraulic redistribution (HR) on hydrological, biogeochemical, and ecological processes have been demonstrated in the field, but current generation standard earth system models does not include a representation HR. Though recent studies examined effect incorporating HR into land surface models, few (if any) done cross-site comparisons for contrasting climate regimes multiple vegetation types via integration measurement modeling. Here, we incorporated scheme Ryel et al....

10.5194/hess-20-2001-2016 article EN cc-by Hydrology and earth system sciences 2016-05-17

Introduction Rising concerns about climate change underscore the need to understand precipitation and evapotranspiration variability across multiple temporal scales. Methods This study evaluates historical simulations from Phase Six of Coupled Model Intercomparison Project (CMIP6) for (Pr), (ET), its components—soil evaporation (Es), transpiration (Et), interception loss (Ei)—from 1981 2014, focusing on agreement mean seasonal cycle interannual variability. We assess these variables using...

10.3389/frwa.2025.1520258 article EN cc-by Frontiers in Water 2025-02-28

Abstract Clarifying carbon (C) cycling in small ponds is vital for understanding C transport lowland agricultural landscape. Quantifying flux crucial learning cycling, but challenging due to its complex and significant impacts from intensive human activities. Here, we developed a process‐based model (CDP) achieve daily estimation of dynamics within artificial watersheds (polders), proposed dual evaluation approach (concentration flux) assess the model's performance using two data sets...

10.1029/2024ef005441 article EN cc-by-nc-nd Earth s Future 2025-04-01

Hydraulic redistribution (HR) of water from moist to drier soils, through plant roots, occurs world-wide in seasonally dry ecosystems. Although the influence HR on landscape hydrology and use has been amply demonstrated, HR's effects microbe-controlled processes sensitive soil moisture, including carbon nutrient cycling at ecosystem scales, remain difficult observe field have not integrated into a predictive framework. We incorporated representation Community Land Model (CLM4.5) found new...

10.1111/gcb.14164 article EN Global Change Biology 2018-04-14

Abstract Previous studies documented a recent decline of the global terrestrial evapotranspiration (ET) trend, which underlying mechanisms are not well understood. Based on experiments using Community Land Model version 4.5 driven with North American Data Assimilation System phase‐2 (NLDAS‐2) forcing data, this study investigates variation and changes ET trends at continental scale these changes. Simulations conducted over NLDAS domain including contiguous U.S. part Mexico for period...

10.1002/2015jd024398 article EN publisher-specific-oa Journal of Geophysical Research Atmospheres 2016-06-15

Abstract. Land surface models bear substantial biases in simulating water and energy budgets despite the continuous development improvement of model parameterizations. To reduce biases, Parr et al. (2015) proposed a method incorporating satellite-based evapotranspiration (ET) products into land models. Here we apply this bias correction to Community Model version 4.5 (CLM4.5) test its performance over conterminous US (CONUS). We first calibrate relationship between observational ET from...

10.5194/hess-21-3557-2017 article EN cc-by Hydrology and earth system sciences 2017-07-14
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