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Noemi Vergopolan
Noemi Vergopolan
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Present and future Köppen-Geiger climate classification maps at 1-km resolution
HE Beck, NE Zimmermann, TR McVicar, N Vergopolan, A Berg, EF Wood
Scientific data 5 (1), 1-12, 2018
4725*2018
Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling
HE Beck, N Vergopolan, M Pan, V Levizzani, AIJM Van Dijk, GP Weedon, ...
Hydrology and Earth System Sciences 21 (12), 6201-6217, 2017
7442017
Evaluation of 18 satellite-and model-based soil moisture products using in situ measurements from 826 sensors
HE Beck, M Pan, DG Miralles, RH Reichle, WA Dorigo, S Hahn, ...
Hydrology and Earth System Sciences 25 (1), 17-40, 2021
2192021
Publisher Correction: Present and future Köppen-Geiger climate classification maps at 1-km resolution
HE Beck, NE Zimmermann, TR McVicar, N Vergopolan, A Berg, EF Wood
Scientific data 7, 2020
1612020
Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates
N Vergopolan, NW Chaney, HE Beck, M Pan, J Sheffield, S Chan, ...
Remote Sensing of Environment 242, 111740, 2020
742020
A global near-real-time soil moisture index monitor for food security using integrated SMOS and SMAP
S Sadri, M Pan, Y Wada, N Vergopolan, J Sheffield, JS Famiglietti, Y Kerr, ...
Remote Sensing of Environment 246, 111864, 2020
572020
High-resolution (1 km) Köppen-Geiger maps for 1901–2099 based on constrained CMIP6 projections
HE Beck, TR McVicar, N Vergopolan, A Berg, NJ Lutsko, A Dufour, Z Zeng, ...
Scientific data 10 (1), 724, 2023
522023
The impact of deforestation on the hydrological cycle in Amazonia as observed from remote sensing
N Vergopolan, JB Fisher
International Journal of Remote Sensing 37 (22), 5412-5430, 2016
512016
SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US
N Vergopolan, NW Chaney, M Pan, J Sheffield, HE Beck, CR Ferguson, ...
Scientific data 8 (1), 264, 2021
462021
Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling
HE Beck, N Vergopolan, M Pan, V Levizzani, AIJM van Dijk, GP Weedon, ...
Satellite Precipitation Measurement: Volume 2, 625-653, 2020
442020
Forecasting the hydroclimatic signature of the 2015/16 El Niño event on the western United States
N Wanders, A Bachas, XG He, H Huang, A Koppa, ZT Mekonnen, ...
Journal of Hydrometeorology 18 (1), 177-186, 2017
402017
Cognitive biases about climate variability in smallholder farming systems in Zambia
KB Waldman, N Vergopolan, SZ Attari, J Sheffield, LD Estes, KK Caylor, ...
Weather, Climate, and Society 11 (2), 369-383, 2019
362019
Field-scale soil moisture bridges the spatial-scale gap between drought monitoring and agricultural yields
N Vergopolan, S Xiong, L Estes, N Wanders, NW Chaney, EF Wood, ...
Hydrology and Earth System Sciences 25 (4), 1827-1847, 2021
282021
HydroBlocks v0. 2: enabling a field-scale two-way coupling between the land surface and river networks in Earth system models
NW Chaney, L Torres-Rojas, N Vergopolan, CK Fisher
Geoscientific Model Development 14 (11), 6813-6832, 2021
25*2021
Comparing empirical and survey-based yield forecasts in a dryland agro-ecosystem
Y Zhao, N Vergopolan, K Baylis, J Blekking, K Caylor, T Evans, S Giroux, ...
Agricultural and Forest Meteorology 262, 147-156, 2018
252018
High‐resolution soil moisture data reveal complex multi‐scale spatial variability across the United States
N Vergopolan, J Sheffield, NW Chaney, M Pan, HE Beck, CR Ferguson, ...
Geophysical Research Letters 49 (15), e2022GL098586, 2022
172022
Transformation of Brazil's biomes: The dynamics and fate of agriculture and pasture expansion into native vegetation
CB Caballero, TW Biggs, N Vergopolan, TAP West, A Ruhoff
Science of the Total Environment 896, 166323, 2023
152023
Drought diagnosis: What the medical sciences can teach us
DW Walker, L Cavalcante, S Kchouk, GG Ribeiro Neto, A Dewulf, ...
Earth's Future 10 (4), e2021EF002456, 2022
152022
PPDIST, global 0.1 daily and 3-hourly precipitation probability distribution climatologies for 1979–2018
HE Beck, S Westra, J Tan, F Pappenberger, GJ Huffman, TR McVicar, ...
Scientific data 7 (1), 302, 2020
132020
The benefits of using state‐of‐the‐art digital soil properties maps to improve the modeling of soil moisture in land surface models
C Xu, L Torres‐Rojas, N Vergopolan, NW Chaney
Water Resources Research 59 (4), e2022WR032336, 2023
62023
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