Member Since 2016
Noemi Vergopolan
Assistant Professor , Rice University
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Advancing Water and Food Security with AI and Hyper-Resolution Soil Moisture Data
AGU 2024
global environmental change | 13 december 2024
Noemi Vergopolan, Felipe Saavedra, Larisa Tarasova...
Effective water resource decision-making requires detailed and accurate hydrological information to understand, monitor, and predict water availabilit...
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Climate change projections for Brazilian catchments using a regional deep learning model
AGU 2024
hydrology | 13 december 2024
André Almagro, Noemi Vergopolan, Paulo T. Oliveira
The potential impacts of climate change on catchment hydrology remain uncertain in many parts of the world, including Brazil. Conducting an integrated...
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Advancing Urban Flood Hazard Characterization through Machine Learning: Challenges and Opportunities
AGU 2024
natural hazards | 13 december 2024
James Doss-Gollin, Arlei Silva, Antonia Sebastian,...
Urban flooding, a complex phenomenon encompassing pluvial, fluvial, and coastal processes influenced by infrastructure, poses significant challenges t...
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Improving Vegetation Realism in Earth System Models through Satellite Observations
AGU 2024
hydrology | 10 december 2024
Noemi Vergopolan, Sergey Malyshev, Nathaniel W. Ch...
Vegetation plays a critical role in land-atmosphere interactions, significantly influencing evapotranspiration and critical ecological processes. A re...
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Accelerating river discharge in High Mountain Asia
AGU 2024
cryosphere | 10 december 2024
Jonathan A. Flores, Colin J. Gleason, Malisse M. L...
Understanding river streamflow in High Mountain Asia (HMA) is crucial for effective water resource management and infrastructure planning. Changing gl...
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Evaluating the Role of Spatial Heterogeneity in Climate Forcing on Farm Scale Soil Moisture Simulations in an Indian Catchment
AGU 2024
hydrology | 09 december 2024
Vishnu U. Krishnan, Noemi Vergopolan, J. Indu, Kar...
Land Surface Models (LSMs) rely on meteorological data and land surface parameterization to resolve land surface processes with spatiotemporal and phy...
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Artificial Intelligence Supported Remote Forest Evapotranspiration Estimation Algorithm Development with ECOSTRESS and SMAP Remotely Sensed Information
AGU 2024
global environmental change | 09 december 2024
Sudhanshu S. Panda, AKASH ATNURKAR, Devendra Amaty...
Evapotranspiration (ET) is affected by solar radiation, wind speed, vapor pressure deficit, leaf area index (LAI), stomatal conductance, and air and c...
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The Drivers of Hydrologic Behavior in Brazil: Insights From a Catchment Classification
WATER RESOURCES RESEARCH
21 august 2024
André Almagro, Antonio Alves Meira Neto, Paulo Tar...
Despite hosting ∼16% of the global freshwater and almost 50% of water resources in South America, Brazilian catchment‐scale relationshi...