GSTDTAP

浏览/检索结果: 共9条,第1-9条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
Scientists warn: Humanity does not have effective tools to resist the tsunami 新闻
来源平台:EurekAlert. 发布日期:2021
作者:  admin
收藏  |  浏览/下载:8/0  |  提交时间:2021/05/06
A neural network learns when it should not be trusted 新闻
来源平台:EurekAlert. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:8/0  |  提交时间:2020/11/20
To distinguish contexts, animals think probabilistically, study suggests 新闻
来源平台:EurekAlert. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:5/0  |  提交时间:2020/08/09
Tropospheric and Stratospheric Causal Pathways Between the MJO and NAO 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (16) : 9356-9371
作者:  Barnes, Elizabeth A.;  Samarasinghe, Savini M.;  Ebert-Uphoff, Imme;  Furtado, Jason C.
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/27
MJO  NAO  causal discovery  S2S prediction  
Multi-model skill assessment of seasonal temperature and precipitation forecasts over Europe 期刊论文
CLIMATE DYNAMICS, 2019, 52: 4207-4225
作者:  Mishra, Niti;  Prodhomme, Chloe;  Guemas, Virginie
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/26
Seasonal climate forecast  Probability Ensemble Forecast  Weighted Multi-Model  Forecast Verification  
Enhancing the Predictability of Seasonal Streamflow With a Statistical-Dynamical Approach 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (13) : 6504-6513
作者:  Slater, Louise J.;  Villarini, Gabriele
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
streamflow  forecast  NMME  precipitation  temperature  land cover  
Celebrating women in science 新闻
来源平台:European Centre for Medium-Range Weather Forecasts. 发布日期:2018
作者:  admin
收藏  |  浏览/下载:2/0  |  提交时间:2019/04/16
An empirical model for probabilistic decadal prediction: global attribution and regional hindcasts 期刊论文
CLIMATE DYNAMICS, 2017, 48
作者:  Suckling, Emma B.;  van Oldenborgh, Geert Jan;  Eden, Jonathan M.;  Hawkins, Ed
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
Empirical modelling  Decadal prediction  Hindcast skill  
Advances in projection of climate change impacts using supervised nonlinear dimensionality reduction techniques 期刊论文
CLIMATE DYNAMICS, 2017, 48
作者:  Sarhadi, Ali;  Burn, Donald H.;  Yang, Ge;  Ghodsi, Ali
收藏  |  浏览/下载:1/0  |  提交时间:2019/04/09
Dimensionality reduction  Statistical downscaling  Supervised Principal Component Analysis (S-PCA)  Climate change  Supervised learning