Publications
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field.
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1 - 15 of 19 publications
Climate and Sustainability
An artificial neural network to estimate the foliar and ground cover input variables of the Rangeland Hydrology and Erosion Model
Mahmoud Saeedimoghaddam
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)
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
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)
Uncertainty quantification in coupled wildfire-atmosphere simulations at scale
Paul Schwerdtner
Frederick Law
Cenk Gazen
Yi-fan Chen
Matthias Ihme
Benjamin Peherstorfer
PNAS Nexus (2024)
QUANTITATIVE APPROACH FOR COORDINATION, AT SCALE, OF SIGNALIZED 2 INTERSECTION PAIRS
Jack Haddad
Nitzan Tur
Danny Veikherman
Eliav Buchnik
Shai Ferster
Tom Kalvari
Dan Karliner
Omer Litov
2024
Systematic Data Driven Detection of Unintentional Changes in Traffic Light Plans
Dan Karliner
Eliav Buchnik
Shai Ferster
Tom Kalvari
Omer Litov
Nitzan Tur
Danny Veikherman
Jack Haddad
2024
AI Increases Global Access to Reliable Flood Forecasts
Asher Metzger
Dana Weitzner
Frederik Kratzert
Guy Shalev
Martin Gauch
Sella Nevo
Shlomo Shenzis
Tadele Yednkachw Tekalign
Vusumuzi Dube
arXiv (2023)
In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance
Martin Gauch
Frederik Kratzert
Hoshin Gupta
Juliane Mai
Bryan A. Tolson
Sepp Hochreiter
Daniel Klotz
Water Resources Research, 59, e2022WR033918 (2023)
Caravan - A global community dataset for large-sample hydrology
Frederik Kratzert
Nans Addor
Tyler Erickson
Martin Gauch
Lukas Gudmundsson
Daniel Klotz
Sella Nevo
Guy Shalev
Scientific Data, 10 (2023), pp. 61
A Neural Encoder for Earthquake Rate Forecasting
Oleg Zlydenko
Brendan Meade
Alexandra Sharon Molchanov
Sella Nevo
Yohai bar Sinai
Scientific Reports (2023)
On strictly enforced mass conservation constraints for modelling the Rainfall-Runoff process
Jonathan Frame
Frederik Kratzert
Hoshin Gupta
Paul Ullrich
Hydrological Processes (2023)
Cross Modal Distillation for Flood Extent Mapping
Shubhika Garg
Ben Feinstein
Shahar Timnat
Gideon Dror
Adi Gerzi Rosenthal
Tackling Climate Change with Machine Learning, NeurIPS 2022 Workshop
Flood forecasting with machine learning models in an operational framework
Asher Metzger
Chen Barshai
Dana Weitzner
Frederik Kratzert
Gregory Begelman
Guy Shalev
Hila Noga
Moriah Royz
Niv Giladi
Ronnie Maor
Sella Nevo
Yotam Gigi
Zvika Ben-Haim
HESS (2022)
The Great Lakes Runoff Intercomparison Project Phase 4: The Great Lakes (GRIP-GL)
Juliane Mai
Hongren Shen
Bryan A. Tolson
Étienne Gaborit
Richard Arsenault
James R. Craig
Vincent Fortin
Lauren M. Fry
Martin Gauch
Daniel Klotz
Frederik Kratzert
Nicole O’Brien
Daniel G. Princz
Sinan Rasiya Koya
Tirthankar Roy
Frank Seglenieks
Narayan K. Shrestha
André G. T. Temgoua
Vincent Vionnet
Jonathan W. Waddell
Hydrology and Earth System Sciences, 26 (2022), 3537–3572
