Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets

19 July 2019

Papers citing "Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets"

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Title
A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences Jing Han Hanting Chen Kai Han X. Huang Yongyun Hu Wenjun Xu Dacheng Tao Ping Zhang AI4CE 39 0 0 19 Apr 2025
Fine Flood Forecasts: Incorporating local data into global models through fine-tuning Emil Ryd Grey Nearing AI4CE 43 0 0 17 Apr 2025
Foundation Models for Environmental Science: A Survey of Emerging Frontiers Runlong Yu Shengyu Chen Yiqun Xie Huaxiu Yao J. Willard X. Jia AI4CE 38 1 0 05 Apr 2025
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science Runlong Yu Chonghao Qiu R. Ladwig Paul C. Hanson Yiqun Xie X. Jia AI4CE 58 2 0 10 Feb 2025
A Deep State Space Model for Rainfall-Runoff Simulations Yihan Wang Lujun Zhang Annan Yu N. Benjamin Erichson Tiantian Yang 51 1 0 28 Jan 2025
Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations Runlong Yu Chonghao Qiu R. Ladwig Paul C. Hanson Yiqun Xie Yanhua Li Xiaowei Jia 77 3 0 20 Nov 2024
Methods to improve run time of hydrologic models: opportunities and challenges in the machine learning era Supath Dhital AI4CE 34 0 0 05 Aug 2024
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems Rahul Ghosh Zac McEachran Arvind Renganathan Kelly Lindsay Somya Sharma M. Steinbach John L. Nieber Christopher J. Duffy Vipin Kumar AI4CE BDL 44 0 0 29 Jul 2024
The Merit of River Network Topology for Neural Flood Forecasting Nikolas Kirschstein Yixuan Sun 27 1 0 30 May 2024
Toward Routing River Water in Land Surface Models with Recurrent Neural Networks Mauricio Lima Katherine Deck Oliver R. A. Dunbar Tapio Schneider AI4CE 28 1 0 22 Apr 2024
A Parsimonious Setup for Streamflow Forecasting using CNN-LSTM Sudan Pokharel Tirthankar Roy 20 2 0 11 Apr 2024
Knowledge-guided Machine Learning: Current Trends and Future Prospects Anuj Karpatne X. Jia Vipin Kumar 50 10 0 24 Mar 2024
Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological Modeling using the Mass-Conserving-Perceptron Yuan-Heng Wang Hoshin V. Gupta AI4CE 35 3 0 25 Jan 2024
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems Yuan-Heng Wang Hoshin V. Gupta AI4CE 38 6 0 12 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 25 10 0 08 Oct 2023
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems Arvind Renganathan Rahul Ghosh A. Khandelwal Vipin Kumar 25 0 0 07 Oct 2023
Uncertainty Quantification in Inverse Models in Hydrology Somya Sharma Chatterjee Rahul Ghosh Arvind Renganathan Xiang Li Snigdhansu Chatterjee John L. Nieber Christopher J. Duffy Vipin Kumar 26 0 0 03 Oct 2023
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources J. Willard C. Varadharajan X. Jia Vipin Kumar AI4TS 25 3 0 18 Aug 2023
AI Increases Global Access to Reliable Flood Forecasts G. Nearing Deborah Cohen Vusumuzi Dube M. Gauch Oren Gilon ... Guy Shalev Shlomo Shenzis T. Tekalign Dana Weitzner Yoss Matias AI4CE 15 8 0 30 Jul 2023
Probing the limit of hydrologic predictability with the Transformer network Jiangtao Liu Yuchen Bian Chaopeng Shen AI4TS 20 9 0 21 Jun 2023
Temporal Fusion Transformers for Streamflow Prediction: Value of Combining Attention with Recurrence Sinan Rasiya Koya Tirthankar Roy AI4TS 21 25 0 21 May 2023
Conformal Prediction for Time Series with Modern Hopfield Networks Andreas Auer M. Gauch D. Klotz Sepp Hochreiter AI4TS 27 27 0 22 Mar 2023
An evaluation of deep learning models for predicting water depth evolution in urban floods S. Russo Nathanael Perraudin Steven Stalder Fernando Perez-Cruz J. Leitão G. Obozinski Jan Dirk Wegner AI4CE 16 0 0 20 Feb 2023
Entity Aware Modelling: A Survey Rahul Ghosh Haoyu Yang A. Khandelwal Erhu He Arvind Renganathan Somya Sharma X. Jia Vipin Kumar 41 7 0 16 Feb 2023
Differentiable modeling to unify machine learning and physical models and advance Geosciences Chaopeng Shen A. Appling Pierre Gentine Toshiyuki Bandai H. Gupta ... Chris Rackauckas Tirthankar Roy Chonggang Xu Binayak Mohanty K. Lawson AI4CE 42 14 0 10 Jan 2023
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space Jia Li Xiang Li X. Jia M. Steinbach Vipin Kumar CML OOD AI4CE 24 0 0 15 Nov 2022
ML framework for global river flood predictions based on the Caravan dataset Ioanna Bouri Manu Lahariya Omer Nivron Enrique Portales Julia D. Backes Piotr Bilinski G. Schumann AI4CE 15 0 0 14 Nov 2022
Probabilistic Inverse Modeling: An Application in Hydrology Somya Sharma Rahul Ghosh Arvind Renganathan Xiang Li Snigdhansu Chatterjee John L. Nieber C. Duffy Vipin Kumar AI4CE 30 1 0 12 Oct 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space M. Gauch M. Beck Thomas Adler D. Kotsur Stefan Fiel ... Markus Holzleitner Werner Zellinger D. Klotz Sepp Hochreiter Sebastian Lehner 46 9 0 07 Jun 2022
Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy D. Feng Jiangtao Liu K. Lawson Chaopeng Shen BDL AI4CE 18 117 0 28 Mar 2022
Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations Pierre Browne Aranildo R. Lima Rossella Arcucci César Quilodrán-Casas 14 0 0 07 Jan 2022
Earthquake Nowcasting with Deep Learning Geoffrey C. Fox John B. Rundle A. Donnellan Bo Feng AI4Cl AI4CE 35 6 0 18 Dec 2021
Transfer learning to improve streamflow forecasts in data sparse regions R. Oruche Lisa Egede T. Baker Fearghal O'Donncha AI4TS 11 10 0 06 Dec 2021
Hydroclimatic time series features at multiple time scales Georgia Papacharalampous Hristos Tyralis Y. Markonis M. Hanel AI4TS 27 3 0 02 Dec 2021
Flood forecasting with machine learning models in an operational framework Sella Nevo E. Morin Adi Gerzi Rosenthal Asher Metzger Chen Barshai ... Yuval Levin Zach Moshe Z. Ben-Haim Avinatan Hassidim Yossi Matias AI4CE 21 117 0 04 Nov 2021
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology Rahul Ghosh Arvind Renganathan Kshitij Tayal Xiang Li A. Khandelwal X. Jia C. Duffy J. Neiber Vipin Kumar 39 23 0 14 Sep 2021
Fast-Slow Streamflow Model Using Mass-Conserving LSTM M. P. Quiñones M. Zortea L. Martins 22 3 0 13 Jul 2021
MC-LSTM: Mass-Conserving LSTM Pieter-Jan Hoedt Frederik Kratzert D. Klotz Christina Halmich Markus Holzleitner G. Nearing Sepp Hochreiter Günter Klambauer 13 59 0 13 Jan 2021
Continental-scale streamflow modeling of basins with reservoirs: towards a coherent deep-learning-based strategy Wenyu Ouyang K. Lawson D. Feng L. Ye Chi Zhang Chaopeng Shen AI4TS AI4CE 66 60 0 12 Jan 2021
The data synergy effects of time-series deep learning models in hydrology K. Fang Daniel Kifer K. Lawson D. Feng Chaopeng Shen AI4CE 69 80 0 06 Jan 2021
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling D. Klotz Frederik Kratzert M. Gauch A. Sampson Günter Klambauer Sepp Hochreiter G. Nearing BDL UQCV 18 106 0 15 Dec 2020
Physics Guided Machine Learning Methods for Hydrology A. Khandelwal Shaoming Xu Xiang Li X. Jia M. Steinbach C. Duffy John L. Nieber Vipin Kumar AI4CE 6 38 0 02 Dec 2020
ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach Sella Nevo G. Elidan Avinatan Hassidim Guy Shalev Oren Gilon G. Nearing Yossi Matias 6 5 0 29 Nov 2020
Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling D. Feng K. Lawson Chaopeng Shen AI4TS 18 74 0 26 Nov 2020
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network M. Gauch Frederik Kratzert D. Klotz G. Nearing Jimmy Lin Sepp Hochreiter AI4TS 8 193 0 15 Oct 2020
Global soil moisture from in-situ measurements using machine learning -- SoMo.ml O. Sungmin R. Orth 11 8 0 05 Oct 2020
HydroNets: Leveraging River Structure for Hydrologic Modeling Zach Moshe Asher Metzger G. Elidan Frederik Kratzert Sella Nevo Ran El-Yaniv 6 38 0 01 Jul 2020
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources M. Sit B. Demiray Z. Xiang Gregory Ewing Y. Sermet Ibrahim Demir AI4Cl AI4CE 8 317 0 17 Jun 2020
70 years of machine learning in geoscience in review Jesper Sören Dramsch VLM AI4CE 32 160 0 16 Jun 2020
Combining Parametric Land Surface Models with Machine Learning C. Pelissier J. Frame G. Nearing 10 11 0 14 Feb 2020