中文版 | English

在结果中检索

GSTDTAP

浏览/检索结果: 共3条，第1-3条 帮助

已选(0)清除 条数/页：   排序方式：
Assessment of uncertainty in multi-model means of downscaled South Florida precipitation for projected (2019-2099) climate 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019
作者:  Infanti, Johnna M.;  Kirtman, Ben P.;  Aumen, Nicholas G.;  Stamm, John;  Polsky, Colin
收藏  |  浏览/下载：28/0  |  提交时间：2020/02/17
climate data uncertainty  downscaling  Florida precipitation  regional climate change  
Contributions of different bias-correction methods and reference meteorological forcing data sets to uncertainty in projected temperature and precipitation extremes 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (15)
作者:  Iizumi, Toshichika;  Takikawa, Hiroki;  Hirabayashi, Yukiko;  Hanasaki, Naota;  Nishimori, Motoki
收藏  |  浏览/下载：12/0  |  提交时间：2019/04/09
climate extremes  bias correction  meteorological forcing data set  uncertainty  
Climate data induced uncertainty in model-based estimations of terrestrial primary productivity 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2017, 12 (6)
作者:  Wu, Zhendong;  Ahlstrom, Anders;  Smith, Benjamin;  Ardo, Jonas;  Eklundh, Lars;  Fensholt, Rasmus;  Lehsten, Veiko
收藏  |  浏览/下载：31/0  |  提交时间：2019/04/09
climate datasets  GPP  uncertainty  LPJ-GUESS  apparent model sensitivity  climate data range  global carbon cycle