Abhinav Gupta
Abhinav Gupta
Postdoctoral Fellow at University of Cincinnati
Verified email at
Cited by
Cited by
Estimation of weathering indices using spectral reflectance over visible to mid-infrared region
B Mohanty, A Gupta, BS Das
Geoderma 266, 111-119, 2016
Propagation of structural uncertainty in watershed hydrologic models
A Gupta, RS Govindaraju
Journal of Hydrology 575, 66-81, 2019
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
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
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
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
Uncertainty quantification in watershed hydrology: Which method to use?
A Gupta, RS Govindaraju
Journal of Hydrology 616, 128749, 2023
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
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
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
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
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
Deep Learning Models Filter Out Local Errors in Hydrological Data
A Gupta, SA Mckenna
Preprint, 2023
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
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
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
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
Information Content of Hydrologic Data across Space: Streamflow Predictions using Machine Learning
A Gupta
EarthArXiv, 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
Non-Informative Priors in Hydrology
A Gupta, RS Govindaraju
AGU Fall Meeting 2019, 10.1002/essoar.10501264.1, 2019
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Articles 1–20