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Climate variability over South America-regional and large scale features simulated by the Brazilian Atmospheric Model (BAM-v0) 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019
作者:  Cavalcanti, Iracema F. A.;  Silveira, Virginia P.;  Figueroa, Silvio N.;  Kubota, Paulo Y.;  Bonatti, Jose P.;  de Souza, Dayana C.
收藏  |  浏览/下载：12/0  |  提交时间：2020/02/17
Atmospheric Global Circulation Model  BAM-v0  climate variability  South America  teleconnections  
Projected changes in extreme warm and cold temperatures in China from 1.5 to 5 degrees C global warming 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019
作者:  Hu, Ting;  Sun, Ying
收藏  |  浏览/下载：5/0  |  提交时间：2020/02/17
global warming levels  regional changes  risk ratio  temperature extremes  
A quality control approach to better characterize the spatial distribution of snow depth over New Brunswick, Canada 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (14) : 5470-5485
作者:  Baronetti, Alice;  Fratianni, Simona;  Acquaotta, Fiorella;  Fortin, Guillaume
收藏  |  浏览/下载：8/0  |  提交时间：2020/02/17
climate  geostatistical methods  New Brunswick  quality control  snow depth  
Global characterization of hydrological and meteorological droughts under future climate change: The importance of timescales, vegetation-CO2 feedbacks and changes to distribution functions 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019
作者:  Vicente-Serrano, Sergio M.;  Dominguez-Castro, Fernando;  McVicar, Tim R.;  Tomas-Burguera, Miguel;  Pena-Gallardo, Marina;  Noguera, Ivan;  Lopez-Moreno, Juan, I;  Pena, Dhais;  El Kenawy, Ahmed
收藏  |  浏览/下载：12/0  |  提交时间：2019/11/27
application  context  climate  drought  projections  
Sensitivity of summer precipitation in regional spectral model simulations over eastern China to physical schemes: Daily, extreme and diurnal cycle 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (11) : 4340-4357
作者:  Zong, Peishu;  Zhu, Yali;  Tang, Jianping
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/27
eastern China  model sensitivity  physical schemes  regional spectral model  summer precipitation  
Impact of sea ice decline in the Arctic Ocean on the number of extreme low-temperature days over China 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019
作者:  Ge, Feifan;  Yan, Tao;  Zhou, Lu;  Jiang, Yuelin;  Li, Wei;  Fan, Yufen;  Wang, Yishu;  Mao, Kebiao;  Wu, Wenge
收藏  |  浏览/下载：6/0  |  提交时间：2019/11/27
Arctic  China  extreme low-temperature days  sea ice concentration  winter  
Uncertainty in gridded precipitation products: Influence of station density, interpolation method and grid resolution 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (9) : 3717-3729
作者:  Herrera, Sixto;  Kotlarski, Sven;  Soares, Pedro M. M.;  Cardoso, Rita M.;  Jaczewski, Adam;  Gutierrez, Jose M.;  Maraun, Douglas
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/27
gridded observations  interpolation method  observational uncertainty  stations density  scale  uncertainty  
Rainfall reconstruction for the Karakoram region in Pakistan since 1540 CE reveals out-of-phase relationship in rainfall between the southern and northern slopes of the Hindukush-Karakorum-Western Himalaya region 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019
作者:  Khan, Adam;  Chen, Feng;  Ahmed, Moinuddin;  Zafar, Muhammad
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/27
Karakoram  northern Pakistan  Picea smithiana  precipitation reconstruction  tree-ring  
Change in the spatiotemporal pattern of snowfall during the cold season under climate change in a snow-dominated region of China 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019
作者:  Bai, Lei;  Shi, Chunxiang;  Shi, Qingdong;  Li, Lanhai;  Wu, Jing;  Yang, Yanfen;  Sun, Shuai;  Zhang, Feiyun;  Meng, Junyao
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/26
northeast China  precipitation phase  Qinghai-Tibet Plateau  warming  Xinjiang  
Statistical and synoptic analyses of offshore wind variations 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (7) : 3201-3217
作者:  Bakri, Talaat;  Jackson, Peter
收藏  |  浏览/下载：9/0  |  提交时间：2019/11/26
extreme value analysis  k-means  persistence  spatial coherency  synoptic climatology  wind extrapolation  wind power  wind variability