E-LIB Suche - Ergebnisse für: Grey Nearing

1

An artificial neural network to estimate the foliar and gro..:

Saeedimoghaddam, Mahmoud ; Nearing, Grey ; Goodrich, David C....
Journal of Hydrology. 631 (2024) - p. 130835 , 2024

Link: https://doi.org/10.1016/..

2

Global prediction of extreme floods in ungauged watersheds:

Nearing, Grey ; Cohen, Deborah ; Dube, Vusumuzi...
Nature. 627 (2024) 8004 - p. 559-563 , 2024

Link: https://doi.org/10.1038/..

3

An artificial neural network emulator of the rangeland hydr..:

Saeedimoghaddam, Mahmoud ; Nearing, Grey ; Hernandez, Mariano...
International Soil and Water Conservation Research. 12 (2024) 2 - p. 241-257 , 2024

Link: https://doi.org/10.1016/..

4

Hybrid forecasting: blending climate predictions with AI mo..:

Slater, Louise J. ; Arnal, Louise ; Boucher, Marie-Amélie...
Hydrology and Earth System Sciences. 27 (2023) 9 - p. 1865-1889 , 2023

Link: https://doi.org/10.5194/..

5

In Defense of Metrics: Metrics Sufficiently Encode Typical ..:

Gauch, Martin ; Kratzert, Frederik ; Gilon, Oren...
Water Resources Research. 59 (2023) 6 - p. , 2023

Link: https://doi.org/10.1029/..

6

Caravan - A global community dataset for large-sample hydro..:

Kratzert, Frederik ; Nearing, Grey ; Addor, Nans...
Scientific Data. 10 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

7

NeuralHydrology — A Python library for Deep Learningresearc..:

Kratzert, Frederik ; Gauch, Martin ; Nearing, Grey.
Journal of Open Source Software. 7 (2022) 71 - p. 4050 , 2022

Link: https://doi.org/10.21105..

8

Uncertainty estimation with deep learningfor rainfall–runof..:

Klotz, Daniel ; Kratzert, Frederik ; Gauch, Martin...
Hydrology and Earth System Sciences. 26 (2022) 6 - p. 1673-1693 , 2022

Link: https://doi.org/10.5194/..

9

Flood forecasting with machine learning models in an operat..:

Nevo, Sella ; Morin, Efrat ; Gerzi Rosenthal, Adi...
Hydrology and Earth System Sciences. 26 (2022) 15 - p. 4013-4032 , 2022

Link: https://doi.org/10.5194/..

10

Schätzung der Verdunstung mithilfe von Machine- und Deep Le..:

Brenner, Claire ; Frame, Jonathan ; Nearing, Grey.
Österreichische Wasser- und Abfallwirtschaft. 73 (2021) 7-8 - p. 295-307 , 2021

Link: https://doi.org/10.1007/..

11

Rainfall–runoff prediction at multiple timescales with a si..:

Gauch, Martin ; Kratzert, Frederik ; Klotz, Daniel...
Hydrology and Earth System Sciences. 25 (2021) 4 - p. 2045-2062 , 2021

Link: https://doi.org/10.5194/..

12

Niederschlags-Abfluss-Modellierung mit Long Short-Term Memo..:

Kratzert, Frederik ; Gauch, Martin ; Nearing, Grey..
Österreichische Wasser- und Abfallwirtschaft. 73 (2021) 7-8 - p. 270-280 , 2021

Link: https://doi.org/10.1007/..

13

Ten simple rules to cultivate transdisciplinary collaborati..:

Sahneh, Faryad ; Balk, Meghan A. ; Kisley, Marina...
PLOS Computational Biology. 17 (2021) 5 - p. e1008879 , 2021

Link: https://doi.org/10.1371/..

14

Bayesian analysis of the impact of rainfall data product on..:

Yatheendradas, Soni ; Kirschbaum, Dalia ; Nearing, Grey...
Computational Geosciences. 23 (2019) 3 - p. 495-522 , 2019

Link: https://doi.org/10.1007/..

15

Towards learning universal, regional, and local hydrologica..:

Kratzert, Frederik ; Klotz, Daniel ; Shalev, Guy...
Hydrology and Earth System Sciences. 23 (2019) 12 - p. 5089-5110 , 2019

Link: https://doi.org/10.5194/..