Grey Nearing

I am a Research Scientist on the Google Flood Forecasting team, and work on water-related topics.

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Authored Publications
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A data-centric perspective on the information needed for hydrological uncertainty predictions
Andreas Auer
Martin Gauch
Frederik Kratzert
Grey Nearing
Sepp Hochreiter
Daniel Klotz
Hydrology and Earth System Sciences (2024)
AI Increases Global Access to Reliable Flood Forecasts
Grey Nearing
(2024)
An artificial neural network to estimate the foliar and ground cover input variables of the Rangeland Hydrology and Erosion Model
Mahmoud Saeedimoghaddam
Grey Nearing
David Goodrich
Mariano Hernandez
David Phillip Guertin
Loretta J. Metz
Guillermo Ponce-Campos
Haiyan Wei
Shea Burns
Sarah E. McCord
Mark A. Nearing
C. Jason Williams
Carrie-Ann Houdeshell
Mashrekur Rahman
Menberu B. Meles
Steve Barker
Journal of Hydrology (2024)
HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin
Frederik Kratzert
Martin Gauch
Daniel Klotz
Grey Nearing
Hydrology and Earth System Sciences (2024)
On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results
Gab Abramowitz
Anna Ukkola
Sanaa Hobeichi
Jon Cranko Page
Mathew Lipson
Martin De Kauwe
Sam Green
Claire Brenner
Jonathan Frame
Grey Nearing
Martyn Clark
Martin Best
Peter Anthoni
Gabriele Arduini
Souhail Boussetta
Silvia Caldararu
Kyeungwoo Cho
Matthias Cuntz
David Fairbairn
Craig Ferguson
Hyungjun Kim
Yeonjoo Kim
Jürgen Knauer
David Lawrence
Xiangzhong Luo
Sergey Malyshev
Tomoko Nitta
Jerome Ogee
Keith Oleson
Catherine Ottlé
Phillipe Peylin
Patricia de Rosnay
Heather Rumbold
Bob Su
Nicolas Vuichard
Anthony Walker
Xiaoni Wang-Faivre
Yunfei Wang
Yijian Zeng
Hydrology and Earth Systems Sciences Discussions (2024)
Technical Note: The divide and measure nonconformity – how metrics can mislead when we evaluate on different data partitions
Daniel Klotz
Martin Gauch
Frederik Kratzert
Grey Nearing
Jakob Zscheischler
Hydrology and Earth System Sciences (2024)
Caravan - A global community dataset for large-sample hydrology
Frederik Kratzert
Grey Nearing
Nans Addor
Tyler Erickson
Martin Gauch
Oren Gilon
Lukas Gudmundsson
Avinatan Hassidim
Daniel Klotz
Sella Nevo
Guy Shalev
Yossi Matias
Scientific Data, 10 (2023), pp. 61
A Deep Learning Data Fusion Model using Sentinel-1/2, SoilGrids, SMAP-USDA, and GLDAS for Soil Moisture Retrieval
Vishal Venkat Batchu
Grey Nearing
Varun Gulshan
Journal of Hydrometeorology (2023)
On strictly enforced mass conservation constraints for modelling the Rainfall-Runoff process
Jonathan Frame
Frederik Kratzert
Hoshin Gupta
Paul Ullrich
Grey Nearing
Hydrological Processes (2023)
Operational Flood Forecasting with AI: Google's Flood Warning System
Grey Nearing
(2023)
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