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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [9]
青藏高原研究所 [1]
中国科学院大学 [1]
采集方式
OAI收割 [10]
iSwitch采集 [1]
内容类型
期刊论文 [8]
SCI/SSCI论文 [3]
发表日期
2022 [2]
2021 [3]
2018 [1]
2017 [1]
2016 [1]
2015 [1]
更多
学科主题
生物科学::普通生物... [1]
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Evaluation of global gridded crop models (GGCMs) for the simulation of major grain crop yields in China
期刊论文
OAI收割
HYDROLOGY RESEARCH, 2022, 页码: 17
作者:
Li, Zhonghe
;
Zhan, Chesheng
;
Hu, Shi
;
Ning, Like
;
Wu, Lanfang
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/09/21
China
food security
global gridded crop model (GGCM)
model comparison
multimodel ensemble
yield gap
Evaluation of global gridded crop models (GGCMs) for the simulation of major grain crop yields in China
期刊论文
OAI收割
HYDROLOGY RESEARCH, 2022, 页码: 17
作者:
Li, Zhonghe
;
Zhan, Chesheng
;
Hu, Shi
;
Ning, Like
;
Wu, Lanfang
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/09/21
China
food security
global gridded crop model (GGCM)
model comparison
multimodel ensemble
yield gap
Assessing and predicting soil carbon density in China using CMIP5 earth system models
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 799, 页码: 12
作者:
Qiu, Linjing
;
Yu, Mengzhen
;
Wu, Yiping
;
Yao, Yingying
;
Wang, Zhaosheng
  |  
收藏
  |  
浏览/下载:93/0
  |  
提交时间:2021/11/05
Carbon cycle
Model uncertainty
Multimodel ensemble
Spatial distribution
Projection
A multimodel random forest ensemble method for an improved assessment of Chinese terrestrial vegetation carbon density
期刊论文
OAI收割
METHODS IN ECOLOGY AND EVOLUTION, 2021, 页码: 16
作者:
Wang, Zhaosheng
;
Gong, He
;
Huang, Mei
;
Gu, Fengxue
;
Wei, Jie
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/09/21
multimodel
multimodel ensemble mean (MMEM) method
multimodel random forest ensemble (MMRFE) method
national scale
terrestrial vegetation carbon density
A multimodel random forest ensemble method for an improved assessment of Chinese terrestrial vegetation carbon density
期刊论文
OAI收割
METHODS IN ECOLOGY AND EVOLUTION, 2021, 页码: 16
作者:
Wang, Zhaosheng
;
Gong, He
;
Huang, Mei
;
Gu, Fengxue
;
Wei, Jie
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/09/21
multimodel
multimodel ensemble mean (MMEM) method
multimodel random forest ensemble (MMRFE) method
national scale
terrestrial vegetation carbon density
Multimodel ensembles improve predictions of crop-environment-management interactions
期刊论文
OAI收割
GLOBAL CHANGE BIOLOGY, 2018, 卷号: 24, 期号: 11, 页码: 5072-5083
作者:
Wallach, Daniel
;
Martre, Pierre
;
Liu, Bing
;
Asseng, Senthold
;
Ewert, Frank
  |  
收藏
  |  
浏览/下载:77/0
  |  
提交时间:2019/05/23
climate change impact
crop models
ensemble mean
ensemble median
multimodel ensemble
prediction
Attribution of seasonal leaf area index trends in the northern latitudes with "optimally" integrated ecosystem models
期刊论文
OAI收割
GLOBAL CHANGE BIOLOGY, 2017, 卷号: 23, 期号: 11, 页码: 4798-4813
作者:
Zhu, ZC (Zhu, Zaichun)
;
Piao, SL (Piao, Shilong)
;
Lian, X (Lian, Xu)
;
Myneni, RB (Myneni, Ranga B.)
;
Peng, SS (Peng, Shushi)
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2018/05/18
Vegetation Greening Trend
Xilingol Steppe Region
Net Primary Production
Water-use Efficiency
Land-surface Models
Nitrogen Limitation
Climate-change
Primary Productivity
Multimodel Ensemble
Inner-mongolia
Evaluating the skill of NMME seasonal precipitation ensemble predictions for 17 hydroclimatic regions in continental China
SCI/SSCI论文
OAI收割
2016
作者:
Ma F.
;
Ye, A. Z.
;
Deng, X. X.
;
Zhou, Z.
;
Liu, X. J.
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2017/11/09
seasonal precipitation predictions
NMME
BMA
RRMSE-R diagram
China
american multimodel ensemble
to-interannual prediction
climate
forecast system
potential predictability
data assimilation
united-states
rainfall
model
simulations
variability
Projections of aridity and its regional variability over China in the mid-21st century
SCI/SSCI论文
OAI收割
2015
作者:
Yin Y. H.
;
Ma, D. Y.
;
Wu, S. H.
;
Pan, T.
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2017/11/09
aridity
China
regional variability
climate models
evapotranspiration
climate-change impacts
potential evapotranspiration changes
conterminous united-states
pan evaporation trends
earth system model
isi-mip
multimodel ensemble
future projections
tibetan plateau
global drylands
Runoff sensitivity to global mean temperature change in the CMIP5 Models
SCI/SSCI论文
OAI收割
2014
Zhang X. J.
;
Tang Q. H.
;
Zhang X. Z.
;
Lettenmaier D. P.
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2014/12/24
runoff sensitivity
climate change
CMIP5
global mean temperature
climate-change
multimodel ensemble
water-resources
scenarios
projections
streamflow
extremes
impact