Member Since 2016
Noemi Vergopolan
Postdoctoral Researcher, Princeton University
AGU Research
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Hyper-resolution Land Surface Modeling and Satellite Data Assimilation: Bridging Data Gaps for Improved Plant-Soil-Water Representation in Earth System Models
REMOTE SENSING OF SOIL PROCESSES POSTER
hydrology | 14 december 2023
Noemi Vergopolan, Elena Shevliakova, Sergey Malysh...
Detailed and accurate soil processes information is essential to monitor and predict changes in freshwater dynamics, crop water demands, floods and dr...
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Local droughts: unveiling an emerging phenomenon previously underdetected, underestimated, and overlooked
HYDROMETEOROLOGIC EXTREMES: PREDICTION, SIMULATION, AND CHANGE II ORAL
hydrology | 12 december 2023
Noemi Vergopolan, Justin Sheffield
Local droughts are often overshadowed by major national climatic events, even though they are emerging as critical phenomena that have been previously...
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Towards an Optimal Representation of Sub-Grid Heterogeneity in Land Surface Models
CHALLENGES AND SOLUTIONS FOR HYDROLOGIC SCALING ACROSS MULTIPLE PROCESSES AND SCALES II ORAL
hydrology | 12 december 2023
Nathaniel W. Chaney, Laura T. Torres Rojas, Noemi ...
One of the persistent challenges of Land Surface Models (LSMs) is to determine a realistic yet efficient sub-grid representation of heterogeneous land...
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A multi-model evaluation of water budget closure in High Mountain Asia
REMOTE SENSING, MODELING, AND DATA ASSIMILATION OF THE TERRESTRIAL WATER CYCLE I POSTER
hydrology | 12 december 2023
Alexandra Richey McLarty, Richard B. Lammers, Bart...
The Indus, Ganges, and Brahmaputra River Basins collectively provide water for nearly one billion people. Meltwater from the glaciers and snowpack of ...
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Improving the Optical Trapezoid Model (OPTRAM) for Satellite Remote Sensing of Soil Moisture by Incorporating Land Cover Information
ADVANCING SOIL MOISTURE SCIENCE VIA MONITORING, MODELING, AND REMOTE SENSING I POSTER
hydrology | 11 december 2023
Neda Mohamadzadeh, Morteza Sadeghi, Noemi Vergopol...
The Optical Trapezoid Model (OPTRAM) has been widely used for high-resolution mapping of surface soil moisture (top 0-5 cm) using surface reflectance ...
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The Benefits of Using State‐Of‐The‐Art Digital Soil Properties Maps to Improve the Modeling of Soil Moisture in Land Surface Models
WATER RESOURCES RESEARCH
07 april 2023
Chengcheng Xu, Laura T. Torres Rojas, Noemi Vergop...
This study assesses the added value of using emerging maps of soil properties to improve surface soil moisture simulations using the HydroBlocks la...
Towards an Optimal Representation of Sub‐Grid Heterogeneity in Land Surface Models
WATER RESOURCES RESEARCH
19 december 2022
Laura T. Torres Rojas, Noemi Vergopolan, Jonathan ...
One of the persistent challenges of Land Surface Models (LSMs) is to determine a realistic yet efficient sub‐grid representation of heterogen...
HydroBlocks: An efficient and effective modeling framework to represent field-scale heterogeneity in Earth system models
REMOTE SENSING OF SOIL PROCESSES II ORAL
hydrology | 14 december 2022
Nathaniel W. Chaney, Noemi Vergopolan, Laura T. To...
The representation of multi-scale heterogeneity within the land components of Earth system models (i.e., land surface models) remains a persistent cha...
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