| Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality? C Varadharajan, AP Appling, B Arora, DS Christianson, VC Hendrix, ... Hydrological Processes 36 (4), e14565, 2022 | 32 | 2022 |
| Effects of forcing differences and initial conditions on inter-model agreement in the VolMIP volc-pinatubo-full experiment D Zanchettin, C Timmreck, M Khodri, A Schmidt, M Toohey, M Abe, ... Geoscientific Model Development 15 (5), 2265-2292, 2022 | 21 | 2022 |
| A guide to using GitHub for developing and versioning data standards and reporting formats R Crystal‐Ornelas, C Varadharajan, B Bond‐Lamberty, K Boye, M Burrus, ... Earth and Space Science 8 (8), e2021EA001797, 2021 | 20 | 2021 |
| Stream temperature predictions for river basin management in the Pacific Northwest and mid-Atlantic regions using machine learning H Weierbach, AR Lima, JD Willard, VC Hendrix, DS Christianson, ... Water 14 (7), 1032, 2022 | 16 | 2022 |
| Effects of forcing differences and initial conditions on inter-model agreement in the VolMIP volcpinatubo-full experiment, Geosci. Model Dev., 15, 2265–2292 D Zanchettin, C Timmreck, M Khodri, A Schmidt, M Toohey, M Abe, ... gmd-15-2265-2022, 2022 | 11 | 2022 |
| Not just for programmers: How GitHub can accelerate collaborative and reproducible research in ecology and evolution PHP Braga, K Hébert, EJ Hudgins, ER Scott, BPM Edwards, ... Methods in Ecology and Evolution 14 (6), 1364-1380, 2023 | 10* | 2023 |
| Using machine learning to develop a predictive understanding of the impacts of extreme water cycle perturbations on river water quality C Varadharajan, V Kumar, J Willard, J Zwart, J Sadler, H Weierbach, ... Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States); Univ …, 2021 | 3 | 2021 |
| Dataset for'Stream Temperature Predictions for River Basin Management in the Pacific Northwest and Mid-Atlantic Regions Using Machine Learning', Water 2022 H Weierbach, AR Lima, JD Willard, VC Hendrix, DS Christianson, ... Environmental System Science Data Infrastructure for a Virtual Ecosystem …, 2022 | 2 | 2022 |
| A Comparison of Data-Driven Models for Predicting Stream Water Temperature H Weierbach, AR Lima, D Christianson, B Faybishenko, V Hendrix, ... NeurIPS 2020 workshop on tackling climate change with machine learning, 2020 | 2 | 2020 |
| Interpretable classification of the contiguous united states river catchments using network science methods F Ciulla, J Willard, H Weierbach, C Varadharajan AGU Fall Meeting Abstracts 2022, H11J-03, 2022 | 1 | 2022 |
| Observational Capabilities to Capture Water Cycle Event Dynamics and Impacts in the Age of AI C Varadharajan, Y Wu, A Wiedlea, K Jardine, H Wainwright, ... AI4ESP, 2021 | 1 | 2021 |
| The impact of ENSO and NAO initial conditions and anomalies on the modeled response to Pinatubo-sized volcanic forcing H Weierbach, AN LeGrande, K Tsigaridis Atmospheric Chemistry and Physics 23 (24), 15491-15505, 2023 | | 2023 |
| Improving Daily Stream Temperature Predictions in Unmonitored Basins: Broad-Scale Deep Learning, Transfer Learning, and Open Questions J Willard, H Weierbach, A Lima, V Kumar, C Varadharajan AGU23, 2023 | | 2023 |
| Connecting Catchment Traits to Hydrological Functions using Data-driven Approaches F Ciulla, H Weierbach, J Willard, A Lima, C Varadharajan AGU23, 2023 | | 2023 |
| The Impact of Downscaled Meteorological Forcing on High-Resolution Hydrological Modeling Under Historical and Future Climate Conditions in a Mountainous Watershed H Weierbach, Z Xu, U Mital, S Molins, CI Steefel, D Dwivedi AGU23, 2023 | | 2023 |
| Similarity versus Diversity: MultiScale Machine Learning Models for Predictions of River Hydrology and Water Quality C Varadharajan, F Ciulla, H Weierbach, J Willard, A Lima AGU23, 2023 | | 2023 |
| Understanding hydrogeochemical responses using a data-rich integrated hydrology and reactive transport modeling at a mountainous watershed Z Xu, S Molins, H Weierbach, D Dwivedi, JD Moulton, CI Steefel AGU23, 2023 | | 2023 |
| Earlier Springtime Nitrogen and Carbon Mass Fluxes and the Role of Earlier Snowmelt Timing and Vegetation Productivity ME Newcomer, N Bouskill, H Weierbach, N Falco, HM Wainwright, ... AGU23, 2023 | | 2023 |
| The Impact of Background ENSO and NAO Conditions and Anomalies on the Modeled Response to Pinatubo-Sized Volcanic Forcing H Weierbach, AN LeGrande, K Tsigaridis Atmospheric Chemistry and Physics Discussions 2023, 1-22, 2023 | | 2023 |
| Opportunities for using Artificial Intelligence and Machine Learning to Address Hydrological Grand Challenges C Varadharajan, SL Painter, J Kumar, D Lu, C Shen, X Chen, JD Moulton, ... AGU Fall Meeting Abstracts 2022, H32A-01, 2022 | | 2022 |
