Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Juliane Mai"'
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
This work investigates the sensitivity of streamflow simulations to individual hydrologic processes at 3316 locations across North America, revealing common sensitivities across watersheds.
Externí odkaz:
https://doaj.org/article/3d356527890341a1b445e0f912906067
Publikováno v:
Sensors, Vol 18, Iss 9, p 2780 (2018)
A broadband soil dielectric spectra retrieval approach ( 1 MHz– 2 GHz) has been implemented for a layered half space. The inversion kernel consists of a two-port transmission line forward model in the frequency domain and a constitutive material eq
Externí odkaz:
https://doaj.org/article/8ee7ece35b014bacbeb98f36ddae11c9
Autor:
Matthias Zink, Luis Samaniego, Rohini Kumar, Stephan Thober, Juliane Mai, David Schäfer, Andreas Marx
Publikováno v:
Environmental Research Letters, Vol 11, Iss 7, p 074002 (2016)
The 2003 drought event in Europe had major implications on many societal sectors, including energy production, health, forestry and agriculture. The reduced availability of water accompanied by high temperatures led to substantial economic losses on
Externí odkaz:
https://doaj.org/article/477a9f85998145e2a3e4ec45dc650d0a
Publikováno v:
Hydrology and Earth System Sciences. 27:139-157
This study investigates the ability of long short-term memory (LSTM) neural networks to perform streamflow prediction at ungauged basins. A set of state-of-the-art, hydrological model-dependent regionalization methods are applied to 148 catchments in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34ad9f12ce5471e8e9b7e88c6826dbfc
https://doi.org/10.5194/hess-27-139-2023
https://doi.org/10.5194/hess-27-139-2023
Autor:
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
Publikováno v:
Hydrology and Earth System Sciences. 26:3537-3572
Model intercomparison studies are carried out to test and compare the simulated outputs of various model setups over the same study domain. The Great Lakes region is such a domain of high public interest as it not only resembles a challenging region
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32a44b85b07e38ea33782c34e8ccff78
https://doi.org/10.5194/hess-26-3537-2022
https://doi.org/10.5194/hess-26-3537-2022
Autor:
Martin Gauch, Frederik Kratzert, Oren Gilon, Hoshin Gupta, Juliane Mai, Grey Nearing, Bryan Tolson, Sepp Hochreiter, Daniel Klotz
Publikováno v:
Water Resources Research.
Building accurate rainfall-runoff models is an integral part of hydrological science and practice. The variety of modeling goals and applications have led to a large suite of evaluation metrics for these models. Yet, hydrologists still put considerab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d98c59ca0f031cc834bd48618caddc0e
https://doi.org/10.1029/2022wr033918
https://doi.org/10.1029/2022wr033918
In 1982, Jim Dooge[1] stated that ``the parameterization of hydrological processes to the grid scale of GCMs is a problem that has not been tacked, let alone solved''. Almost a decade later, Eric Wood (1990) reported that we have not performed the ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d1bd6be19cc60d0a14187a0b723f1e0
https://doi.org/10.5194/egusphere-egu23-7147
https://doi.org/10.5194/egusphere-egu23-7147
As part of the Great-Lakes Runoff Inter-comparison Project (GRIP-GL; Mai et al., 2022), which aims at comparing the performances of different hydrologic models over the Great-Lakes when calibrating them using the same meteorological inputs and geophy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27175db03684e83012b1c9f236e7eb06
https://doi.org/10.5194/egusphere-egu23-6986
https://doi.org/10.5194/egusphere-egu23-6986
Autor:
Juliane Mai, Hongren Shen, Bryan Tolson, Étienne Gaborit, Richard Arsenault, James Craig, Vincent Fortin, Lauren Fry, Martin Gauch, Daniel Klotz, Frederik Kratzert, Nicole O'Brien, Daniel Princz, Sinan Rasiya Koya, Tirthankar Roy, Frank Seglenieks, Narayan Shretha, Andre Guy Temgoua, Vincent Vionnet, Jonathan Waddell
Model intercomparison studies are carried out to test and compare the simulated outputs of various model setups over the same study domain. The Great Lakes region is such a domain of high public interest as it not only resembles a challenging region
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6447bc19091ffeea73aebce8073754eb
https://doi.org/10.5194/egusphere-egu23-968
https://doi.org/10.5194/egusphere-egu23-968
Peeking Inside Hydrologists' Minds: Comparing Human Judgment and Quantitative Metrics of Hydrographs
Autor:
Martin Gauch, Frederik Kratzert, Oren Gilon, Hoshin Gupta, Juliane Mai, Grey Nearing, Bryan Tolson, Sepp Hochreiter, Daniel Klotz
Everyone wants their hydrologic models to be as good as possible. But how do we know if a model is accurate or not? In the spirit of rigorous and reproducible science, the answer should be: we calculate metrics. Yet, as humans, we sometimes follow a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acf626a3a190b25de3471be458e6d231
https://doi.org/10.5194/egusphere-egu23-12261
https://doi.org/10.5194/egusphere-egu23-12261