Noemi Vergopolan

Affiliations: 
2015- Civil and Environmental Engineering Princeton University, Princeton, NJ 
Google:
"Noemi Vergopolan"

Parents

Sign in to add mentor
Justin Sheffield grad student 2015-2021 Princeton
Eric Franklin Wood grad student 2015-2021 Princeton
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Castano-Duque L, Winzeler E, Blackstock JM, et al. (2023) Dynamic geospatial modeling of mycotoxin contamination of corn in Illinois: unveiling critical factors and predictive insights with machine learning. Frontiers in Microbiology. 14: 1283127
Beck HE, McVicar TR, Vergopolan N, et al. (2023) High-resolution (1 km) Köppen-Geiger maps for 1901-2099 based on constrained CMIP6 projections. Scientific Data. 10: 724
Caballero CB, Biggs TW, Vergopolan N, et al. (2023) Transformation of Brazil's biomes: The dynamics and fate of agriculture and pasture expansion into native vegetation. The Science of the Total Environment. 896: 166323
Vergopolan N, Chaney NW, Pan M, et al. (2021) SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US. Scientific Data. 8: 264
Beck HE, Westra S, Tan J, et al. (2020) PPDIST, global 0.1° daily and 3-hourly precipitation probability distribution climatologies for 1979-2018. Scientific Data. 7: 302
Beck HE, Zimmermann NE, McVicar TR, et al. (2020) Publisher Correction: Present and future Köppen-Geiger climate classification maps at 1-km resolution. Scientific Data. 7: 274
Vergopolan N, Xiong S, Estes L, et al. (2020) Field-scale soil moisture bridges the spatial-scale gap between drought monitoring and agricultural yields Hydrology and Earth System Sciences Discussions. 1-31
Beck HE, Pan M, Miralles DG, et al. (2020) Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors Hydrology and Earth System Sciences Discussions. 1-35
Sadri S, Pan M, Wada Y, et al. (2020) A global near-real-time soil moisture index monitor for food security using integrated SMOS and SMAP Remote Sensing of Environment. 246: 111864
Vergopolan N, Chaney NW, Beck HE, et al. (2020) Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates Remote Sensing of Environment. 242: 111740
See more...