中文版 | English

在结果中检索

GSTDTAP

浏览/检索结果: 共6条，第1-6条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Sworn testimony of the model evidence: Gaussian Mixture Importance (GAME) sampling 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (7)
作者:  Volpi, Elena;  Schoups, Gerrit;  Firmani, Giovanni;  Vrugt, Jasper A.
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/09
Comment on "Most computational hydrology is not reproducible, so is it really science?" by Christopher Hutton et al.: Let hydrologists learn the latest computer science by working with Research Software Engineers (RSEs) and not reinvent the waterwheel ourselves 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (5)
作者:  Hut, R. W.;  van de Giesen, N. C.;  Drost, N.
收藏  |  浏览/下载：1/0  |  提交时间：2019/04/09
computational hydrology  computer science  research software  
Reply to comment by Melsen et al. on "Most computational hydrology is not reproducible, so is it really science?" 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (3)
作者:  Hutton, Christopher;  Wagener, Thorsten;  Freer, Jim;  Han, Dawei;  Duffy, Chris;  Arheimer, Berit
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
reproducibility  hydrology  code  workflow  hydrology  
Reply to comment by Anel on "Most computational hydrology is not reproducible, so is it really science?" 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (3)
作者:  Hutton, Christopher;  Wagener, Thorsten;  Freer, Jim;  Han, Dawei;  Duffy, Chris;  Arheimer, Berit
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
reproducibility  hydrology  code  workflow  hydrology  
Comment on "Most computational hydrology is not reproducible, so is it really science?" by Christopher Hutton et al. 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (3)
作者:  Anel, Juan A.
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
scientific reproducibility  software  computational sciences  
Comment on "Most computational hydrology is not reproducible, so is it really science?" by Christopher Hutton et al. 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (3)
作者:  Melsen, Lieke A.;  Torfs, Paul J. J. F.;  Uijlenhoet, Remko;  Teuling, Adriaan J.
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
reproducibility  repeatability  computational hydrology