Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Hongren Shen"'
Publikováno v:
Advances in Materials Science and Engineering, Vol 2021 (2021)
Herein, powder metallurgy gas-solid nitriding was used to prepare a high-nitrogen Ni-free austenitic stainless steel with more than 1.0 wt.% N. Study of the microstructures and corrosion resistances of the as-prepared samples revealed that the corros
Externí odkaz:
https://doaj.org/article/1632891981724e4784c78d59c6cb4157
Autor:
Fei Yuan, Mingwei Ma, Liliang Ren, Hongren Shen, Yue Li, Shanhu Jiang, Xiaoli Yang, Chongxu Zhao, Hao Kong
Publikováno v:
Advances in Meteorology, Vol 2016 (2016)
Quantitative evaluation of future climate change impacts on hydrological drought characteristics is one of important measures for implementing sustainable water resources management and effective disaster mitigation in drought-prone regions under the
Externí odkaz:
https://doaj.org/article/a2ec6f307edf43e1960a3712c05f17c9
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
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
Publikováno v:
Hydrology & Earth System Sciences Discussions; 11/3/2023, p1-23, 23p
Publikováno v:
Journal of Alloys and Compounds. 945:169230
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f21d3537bfbd69832de4410005141006
https://doi.org/10.1016/j.jallcom.2023.169230
https://doi.org/10.1016/j.jallcom.2023.169230
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a978d7757ee690adadd46c90a728d0e
https://doi.org/10.5194/hess-2022-113-supplement
https://doi.org/10.5194/hess-2022-113-supplement
Model calibration and validation are critical in hydrological model robustness assessment. Unfortunately, the commonly used split-sample test (SST) framework for data splitting requires modelers to make subjective decisions without clear guidelines.A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfa805782e5863f6a0003d8fdd380cee
https://doi.org/10.5194/egusphere-egu22-10846
https://doi.org/10.5194/egusphere-egu22-10846