HelioWebNoemi Vergopolan
flowchart
A[Noemi Vergopolan]
AC["Associated Concepts (25)"]
AW["Authored Works (13)"]
CA["Linked Co-Authors (15)"]
CI["Linked Collaborating Institutions (13)"]
A== dcterms:relation ==>AC
AW== author ==>A
AW== author ==>CA
AW== affil ==>CI
click AC "#associated-concepts"
click AW "#authored-works"
click CA "#co-authors"
click CI "#collaborating-institutions"
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NO["add outgoing edge"]
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A-- ? -->NO
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style NO stroke-width:2px,stroke-dasharray: 5 5
- ORCiD
- https://orcid.org/0000-0002-7298-0509
- OpenAlex ID
- https://openalex.org/A5029982704 (API record)
Associated Concepts [?]
- Geography
- Environmental science
- Geology
- Physics
- Engineering
- Ecology
- Biology
- Meteorology
- Mathematics
- Computer science
- Geotechnical engineering
- Quantum mechanics
- Cartography
- Remote sensing
- History
- Archaeology
- Materials science
- Scale (ratio)
- Climatology
- Water content
- Statistics
- Aerospace engineering
- Precipitation
- Hydrology (agriculture)
- Astronomy
Authored Works
sorted by decreasing year, and then by display-name
- Recent advances towards water and food security through hyper-resolution land surface modeling and satellite remote sensing
- Leveraging advances in deep learning and hyper-resolution soil moisture data assimilation for S2S hydroclimate applications
- HydroBlocks: An efficient and effective modeling framework to represent field-scale heterogeneity in Earth system models
- How realistic is the simulated spatial heterogeneity within sub-grid tiling schemes in land surface models?
- Benefits of Hyper-Resolution Land Surface Modeling for Soil Moisture Estimation: Analysis over a Catchment in India
- Mapping surface soil moisture at 30-m resolution and assessing its spatial variability across the United States using SMAP-HydroBlocks
- Leveraging High-resolution Gridded Datasets and AquaCrop to Improve Remote Sensing-based Estimates of Smallholder Maize Yields
- Investigating the influence of vertical heterogeneity and Machine Learning derived soil properties in land surface modeling accuracy
- Improving Long-Range Drought Forecasts with Soil Moisture Data Assimilation and Dynamic Downscaling: The 2016 Northeastern U.S. Drought
- Determining the optimal configuration of sub-grid tiles in Land Surface Models over the Contiguous United States
- Combining high resolution remote sensing datasets and 30m hydrological modelling to monitor wet and dry hotspots across Malawi
- Clustering land surface heterogeneity: A path towards calibrating WRF-Hydro at sub-100 meter scales over CONUS
- Are the simulated spatial patterns in field-scale resolving land surface models realistic?
Linked Co-Authors
- Craig R. Ferguson
- Daniela Anghileri
- Enrico Zorzetto
- Eric F. Wood
- Hylke E. Beck
- J. Indu
- Jason Simon
- Jonathan D. Herman
- Justin Sheffield
- L. Karthikeyan
- Laura Torres‐Rojas
- Megan Konar
- Ming Pan
- Nathaniel W. Chaney
- Wade T. Crow
Linked Collaborating Institutions
- Clark University, Massachusetts
- Duke University, North Carolina
- Indian Institute of Technology, Mumbai, India
- Ispra, European Commission Joint Research Centre, Italy
- Princeton University, New Jersey
- SUNY Albany, New York
- SUNY Syracuse, New York
- U.S. Department of Agriculture
- University of Arizona
- University of California, Davis
- University of California, Santa Barbara
- University of Illinois, Urbana-Champaign
- University of Southampton, UK
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