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Abhinav Gupta
Abhinav Gupta
Postdoctoral Fellow at University of Cincinnati
Verified email at ucmail.uc.edu
Title
Cited by
Cited by
Year
Estimation of weathering indices using spectral reflectance over visible to mid-infrared region
B Mohanty, A Gupta, BS Das
Geoderma 266, 111-119, 2016
642016
Propagation of structural uncertainty in watershed hydrologic models
A Gupta, RS Govindaraju
Journal of Hydrology 575, 66-81, 2019
492019
Assessment of soil texture from spectral reflectance data of bulk soil samples and their dry-sieved aggregate size fractions
HB Vasava, A Gupta, R Arora, BS Das
Geoderma 337, 914-926, 2019
382019
Local modeling approaches for estimating soil properties in selected Indian soils using diffuse reflectance data over visible to near-infrared region
A Gupta, HB Vasava, BS Das, AK Choubey
Geoderma 325, 59-71, 2018
302018
Comparison of data mining approaches for estimating soil nutrient contents using diffuse reflectance spectroscopy
MC Sarathjith, BS Das, SP Wani, KL Sahrawat, A Gupta
Current Science, 1031-1037, 2016
192016
Rapid and noninvasive assessment of Atterberg limits using diffuse reflectance spectroscopy
A Gupta, BS Das, A Kumar, P Chakraborty, B Mohanty
Soil Science Society of America Journal 80 (5), 1283-1295, 2016
172016
Uncertainty quantification in watershed hydrology: Which method to use?
A Gupta, RS Govindaraju
Journal of Hydrology 616, 128749, 2023
142023
Uncertainty quantification in reconstruction of sparse water quality time series: Implications for watershed health and risk-based TMDL assessment
G Mallya, A Gupta, MM Hantush, RS Govindaraju
Environmental Modelling & Software 131, 104735, 2020
122020
An evaluation of a university-level, high school course taught to foster interest in civil engineering (evaluation)
MR Broberg, S Khalifah, A Gupta, AJ Nafakh
2021 ASEE Virtual Annual Conference Content Access, 2021
102021
The role of prior probabilities on parameter estimation in hydrological models
A Gupta, RS Govindaraju, R Morbidelli, C Corradini
Water Resources Research 58 (5), e2021WR031291, 2022
82022
Changes in streamflow statistical structure across the United States due to recent climate change
A Gupta, RWH Carroll, SA McKenna
Journal of Hydrology 620, 129474, 2023
72023
Sub-monthly time scale forecasting of harmful algal blooms intensity in Lake Erie using remote sensing and machine learning
A Gupta, MM Hantush, RS Govindaraju
Science of the Total Environment 900, 165781, 2023
62023
Deep Learning Models Filter Out Local Errors in Hydrological Data
A Gupta, SA McKenna
EarthArXiv, 2023
12023
Information and disinformation in hydrological data across space: The case of streamflow predictions using machine learning
A Gupta
Journal of Hydrology: Regional Studies 51, 101607, 2024
2024
Evaluating a conceptual hydrological model at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures
A Gupta, M Hantush, R Govindaraju
EarthArXiv, 2024
2024
Perceived barriers and advances in integrating earth observations with water resources modeling
S Kumar, S Imen, VK Sridharan, A Gupta, W McDonald, JJ Ramirez-Avila, ...
Remote Sensing Applications: Society and Environment 33, 101119, 2024
2024
On constructing limits-of-acceptability in watershed hydrology using decision trees
A Gupta, RS Govindaraju, PC Li, V Merwade
Advances in Water Resources 178, 104486, 2023
2023
Information Content of Hydrologic Data across Space: Streamflow Predictions using Machine Learning
A Gupta
EarthArXiv, 2022
2022
Data-Driven Approaches for Flood Observation, Model Validation, and Uncertainty Quantification I Online Poster Discussion
S Dey, S Saksena, A Gupta
Fall Meeting 2022, 2022
2022
Non-Informative Priors in Hydrology
A Gupta, RS Govindaraju
AGU Fall Meeting 2019, 10.1002/essoar.10501264.1, 2019
2019
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