Grey Nearing

According to our database, Grey Nearing authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Physically Driven Long Short Term Memory Model for Estimating Snow Water Equivalent over the Continental United States.

Arun M. Saranathan, Mahmoud Saeedimoghaddam, Brandon Smith, Deepthi Raghunandan, Grey Nearing, Craig Pelissier

CoRR, April, 2025

Fine Flood Forecasts: Incorporating local data into global models through fine-tuning.

Emil Ryd, Grey Nearing

CoRR, April, 2025

2023

AI Increases Global Access to Reliable Flood Forecasts.

Grey Nearing, Deborah Cohen, Vusumuzi Dube, Martin Gauch, Oren Gilon, Shaun Harrigan, Avinatan Hassidim, Frederik Kratzert, Asher Metzger, Sella Nevo, Florian Pappenberger, Christel Prudhomme, Guy Shalev, Shlomo Shenzis, Tadele Tekalign, Dana Weitzner, Yossi Matias

CoRR, 2023

2022

NeuralHydrology - A Python library for Deep Learning research in hydrology.

Frederik Kratzert, Martin Gauch, Grey Nearing, Daniel Klotz

J. Open Source Softw., 2022

A Machine Learning Data Fusion Model for Soil Moisture Retrieval.

Vishal Batchu, Grey Nearing, Varun Gulshan

CoRR, 2022

2021

Ten simple rules to cultivate transdisciplinary collaboration in data science.

Faryad Sahneh, Meghan A. Balk, Marina Kisley, Chi-Kwan Chan, Mercury Fox, Brian Nord, Eric Lyons, Tyson Lee Swetnam, Daniela Huppenkothen, Will Sutherland, Ramona L. Walls, Daven P. Quinn, Tonantzin Tarin, David S. LeBauer, David Ribes, Dunbar P. Birnie III, Carol Lushbough, Eric Carr, Grey Nearing, Jeremy Fischer, Kevin Tyle, Luis Carrasco, Meagan Lang, Peter W. Rose, Richard R. Rushforth, Samapriya Roy, Thomas Matheson, Tina Lee, C. Titus Brown, Tracy K. Teal, Monica Papes, Stephen G. Kobourov, Nirav C. Merchant

PLoS Comput. Biol., 2021

Flood forecasting with machine learning models in an operational framework.

Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal, Asher Metzger, Chen Barshai, Dana Weitzner, Dafi Voloshin, Frederik Kratzert, Gal Elidan, Gideon Dror, Gregory Begelman, Grey Nearing, Guy Shalev, Hila Noga, Ira Shavitt, Liora Yuklea, Moriah Royz, Niv Giladi, Nofar Peled Levi, Ofir Reich, Oren Gilon, Ronnie Maor, Shahar Timnat, Tal Shechter, Vladimir Anisimov, Yotam Gigi, Yuval Levin, Zach Moshe, Zvika Ben-Haim, Avinatan Hassidim, Yossi Matias

CoRR, 2021

MC-LSTM: Mass-Conserving LSTM.

Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling.

Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden Keefe Sampson, Günter Klambauer, Sepp Hochreiter, Grey Nearing

CoRR, 2020

ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach.

Sella Nevo, Gal Elidan, Avinatan Hassidim, Guy Shalev, Oren Gilon, Grey Nearing, Yossi Matias

CoRR, 2020

Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network.

Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, Sepp Hochreiter

CoRR, 2020

Combining Parametric Land Surface Models with Machine Learning.

Craig Pelissier, Jonathan Frame, Grey Nearing

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Using LSTMs for climate change assessment studies on droughts and floods.

Frederik Kratzert, Daniel Klotz, Johannes Brandstetter, Pieter-Jan Hoedt, Grey Nearing, Sepp Hochreiter

CoRR, 2019

Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling.

Frederik Kratzert, Daniel Klotz, Guy Shalev, Günter Klambauer, Sepp Hochreiter, Grey Nearing

CoRR, 2019