| Catchment classification: empirical analysis of hydrologic similarity based on catchment function in the eastern USA K Sawicz, T Wagener, M Sivapalan, PA Troch, G Carrillo Hydrology and Earth System Sciences 15 (9), 2895-2911, 2011 | 571 | 2011 |
| Climate-vegetation-soil interactions and long-term hydrologic partitioning: signatures of catchment co-evolution PA Troch, G Carrillo, M Sivapalan, T Wagener, K Sawicz Hydrology and Earth System Sciences 17 (6), 2209-2217, 2013 | 198 | 2013 |
| Catchment classification: hydrological analysis of catchment behavior through process-based modeling along a climate gradient G Carrillo, PA Troch, M Sivapalan, T Wagener, C Harman, K Sawicz Hydrology and Earth System Sciences 15 (11), 3411-3430, 2011 | 154 | 2011 |
| Characterizing hydrologic change through catchment classification KA Sawicz, C Kelleher, T Wagener, P Troch, M Sivapalan, G Carrillo Hydrology and Earth System Sciences 18 (1), 273-285, 2014 | 118 | 2014 |
| Embedding co-production and addressing uncertainty in watershed modeling decision-support tools: Successes and challenges BL Barnhart, HE Golden, JR Kasprzyk, JJ Pauer, CE Jones, KA Sawicz, ... Environmental Modelling & Software 109, 368-379, 2018 | 36 | 2018 |
| Hydrologic landscape characterization for the Pacific Northwest, USA SG Leibowitz, RL Comeleo, PJ Wigington Jr, MH Weber, EA Sproles, ... JAWRA Journal of the American Water Resources Association 52 (2), 473-493, 2016 | 24 | 2016 |
| MOESHA: A genetic algorithm for automatic calibration and estimation of parameter uncertainty and sensitivity of hydrologic models BL Barnhart, KA Sawicz, DL Ficklin, GW Whittaker Transactions of the ASABE 60 (4), 1259-1269, 2017 | 16 | 2017 |
| Catchment classification-understanding hydrologic similarity through catchment function KA Sawicz The Pennsylvania State University, 2013 | 9 | 2013 |
| Using hydrologic landscape classification and climatic time series to assess hydrologic vulnerability of the western US to climate CE Jones, SG Leibowitz, KA Sawicz, RL Comeleo, LE Stratton, ... Hydrology and Earth System Sciences Discussions 2020, 1-49, 2020 | 4 | 2020 |
| Catchment Classification: An empirical analysis to hydrologic similarity KA Sawicz | 2 | 2009 |
| Using hydrologic landscape classification and climatic time series to assess hydrologic vulnerability of the Western US to climate CE Jones, SG Leibowitz, KA Sawicz, RL Comeleo, LE Stratton, ... Hydrology and Earth System Sciences Discussions 2020, 1-49, 2020 | 1 | 2020 |
| Catchment Classification: An empirical analysis of hydrologic similarity and its controls KA Sawicz, T Wagener, M Sivapalan, PA Troch, GA Carrillo AGU Fall Meeting Abstracts 2009, H24C-06, 2009 | 1 | 2009 |
| Trends Due to Climate Change in Precipitation and Stream Flows: A Case Study of Italy G Sakamuri, N Mothkuri, BM Atla, M Vyas, S Ghosh, S Kondapalli, ... International Conference on Hydraulics, Water Resources and Coastal …, 2023 | | 2023 |
| Application of XGBoost in Flood Modeling S Ghosh, D Borse, LRK Padilam, DM Jose, S Kondapalli, KA Sawicz, ... International Conference on Hydraulics, Water Resources and Coastal …, 2023 | | 2023 |
| Developing a Cold Region Hydrology Based Flood Risk Model for Canada KA Sawicz, M Hergott, S Ghosh, X Zheng, G Sakamuri, ... AGU23, 2023 | | 2023 |
| Coupling Muskingum-Cunge Routing with Long Short Term-Models (LSTM) for simulating flows in larger river basins X Zheng, D Borse, A Zou, J Huang, KA Sawicz, S Kondapalli, ... AGU Fall Meeting Abstracts 2023, H34C-02, 2023 | | 2023 |
| Modeling Flood Peak Flows for Watersheds in the United States Using an XGBoost Model J Huang, KA Sawicz, S Ghosh, S Kondapalli, K Chinnayakanahalli, ... AGU Fall Meeting Abstracts 2022, H55M-0747, 2022 | | 2022 |
| Ice-Jam Flood Risk Assessment for Canada using a Machine Learning Approach KA Sawicz, M Hergott, S Ghosh, G Sakamuri, K Chinnayakanahalli AGU Fall Meeting Abstracts 2022, H25B-08, 2022 | | 2022 |
| How many flood events occur in the United States every year? Challenges in Defining Flood Events and Estimating their Frequency. KA Sawicz, K Chinnayakanahalli, H Chowdhary AGU Fall Meeting Abstracts 2019, H41N-1904, 2019 | | 2019 |
| Derivation of Reservoir Rule Curves using Artificial Neural Networks for Large-Scale Hydrological Simulations S Ghosh, S Kondapalli, KA Sawicz, K Chinnayakanahalli, H Chowdhary AGU Fall Meeting Abstracts 2018, NH31B-0985, 2018 | | 2018 |
