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Showing 1 to 8 of 8 for “"Land Surface Modeling"”.

  1. Soil moisture dynamics from satellite observations, land surface modeling, and field data

    … were well maintained for root zone profile and surface soil moisture time stable characteristics can be used to upper boundary for sub-surface time stability.</p><p>Through inter-comparison analysis, average soil moisture from remotely sensed measurements, ground-based measurements, and land

    unh-thes Repository record for Soil moisture dynamics from satellite observations, land surface modeling, and field data (opens in a new tab)

  2. Snow Hydrology and Streamflow Response to Snowmelt: A Case Study on SWE Dataset Comparisons, Regional Water Balance, and Snowmelt-Induced Runoff within the Smith River Watershed, Montana

    … were carried out using the Noah-MP (via WLDAS) land surface model (LSM) and hybrid observation-model-based approaches. While the hybrid approach depicted the most accurate variable values for the water balance, the land surface model-based approach was more suitable for the annual water balance …

    texas-state Repository record for Snow Hydrology and Streamflow Response to Snowmelt: A Case Study on SWE Dataset Comparisons, Regional Water Balance, and Snowmelt-Induced Runoff within the Smith River Watershed, Montana (opens in a new tab)

  3. From groundwater to the atmosphere: using RELAMPAGO observations and modeling to understand changes in the hydrologic cycle of southeastern South America

    Land-atmosphere interactions play an important role in modulating the hydroclimate of Southeastern South America (SESA). While climate variability and extreme events impact surface hydrology, the land surface of the region influences evapotranspiration, groundwater table depth, near-surface soil …

    uiuc Repository record for From groundwater to the atmosphere: using RELAMPAGO observations and modeling to understand changes in the hydrologic cycle of southeastern South America (opens in a new tab)

  4. Understanding the role of deep root water uptake in Amazon hydroclimate using modeling and observational approaches

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms

    uiuc Repository record for Understanding the role of deep root water uptake in Amazon hydroclimate using modeling and observational approaches (opens in a new tab)

  5. Assessing and Improving the Representation of Hydrologic Processes in Atmospheric, Ocean, and Land Modeling and Dataset Generation

    … Despite its importance, its representation in modeling and dataset generation is problematic. Here, the depiction of three phenomena, ocean surface turbulent fluxes, humidity inversions, and groundwater, are assessed, and suggestions for improvements of their representations are made. First, …

    arizona-thes Repository record for Assessing and Improving the Representation of Hydrologic Processes in Atmospheric, Ocean, and Land Modeling and Dataset Generation (opens in a new tab)

  6. Quantifying the Sensitivity of Land-Surface Models to Hydrodynamic Stress Limitations on Transpiration

    … heat flux and carbon uptake rates. Current land-surface models couple stomata conductance and soil moisture through empirical relationships. This approach does not take advantage of recent advances in our understanding of water flow and storage in trees or of tree and canopy structure. The …

    ohiolink Repository record for Quantifying the Sensitivity of Land-Surface Models to Hydrodynamic Stress Limitations on Transpiration (opens in a new tab)

  7. Evaluating Changes in Terrestrial Hydrological Components Due to Climate Change in the Chesapeake Bay Watershed

    … region of the United States. The Noah-MP land surface model is calibrated and evaluated against the observed datasets of United States Geological Survey (USGS) streamflow gages, actual evapotranspiration from USGS Simplified Surface Energy Balance (SSEBop) Model and soil moisture from Soil …

    vt Repository record for Evaluating Changes in Terrestrial Hydrological Components Due to Climate Change in the Chesapeake Bay Watershed (opens in a new tab)

  8. Data-driven spatial modeling of historic and future land change at global scale

    Assessing the historic and future impacts of land-use and land-cover change (LULCC) on climate requires spatially and temporally explicit data sets on LULCC spanning several decades to centuries, because climate change is a long-term problem. Though remote sensing data provides a globally …

    uiuc Repository record for Data-driven spatial modeling of historic and future land change at global scale (opens in a new tab)