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地理科学与资源研究... [22]
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期刊论文 [16]
SCI/SSCI论文 [6]
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2021 [1]
2020 [4]
2019 [2]
2018 [5]
2017 [3]
2016 [2]
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专题:地理科学与资源研究所
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Understanding each other's models: an introduction and a standard representation of 16 global water models to support intercomparison, improvement, and communication
期刊论文
GEOSCIENTIFIC MODEL DEVELOPMENT, 2021, 卷号: 14, 期号: 6, 页码: 3843-3878
作者:
Telteu, Camelia-Eliza
;
Schmied, Hannes Mueller
;
Thiery, Wim
;
Leng, Guoyong
;
Burek, Peter
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浏览/下载:18/0
  |  
提交时间:2021/08/19
Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa
期刊论文
GLOBAL CHANGE BIOLOGY, 2020, 页码: 23
作者:
Falconnier, Gatien N.
;
Corbeels, Marc
;
Boote, Kenneth J.
;
Affholder, Francois
;
Adam, Myriam
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  |  
浏览/下载:19/0
  |  
提交时间:2021/03/18
crop simulation model
ensemble modelling
model intercomparison
smallholder farming systems
uncertainty
Assessment of the Forecast Skill of Multiphysics and Multistochastic Methods within the GRAPES Regional Ensemble Prediction System in the East Asian Monsoon Region
期刊论文
WEATHER AND FORECASTING, 2020, 卷号: 35, 期号: 3, 页码: 1145-1171
作者:
Xu, Zhizhen
;
Chen, Jing
;
Jin, Zheng
;
Li, Hongqi
;
Chen, Fajing
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/07/09
Operational forecasting
Probability forecasts
models
distribution
Ensembles
Model errors
Model evaluation
performance
Numerical weather prediction
forecasting
Representing Model Uncertainty by Multi-Stochastic Physics Approaches in the GRAPES Ensemble
期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2020, 卷号: 37, 期号: 4, 页码: 328-346
作者:
Xu, Zhizhen
;
Chen, Jing
;
Jin, Zheng
;
Li, Hongqi
;
Chen, Fajing
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/05/19
ensemble prediction
model uncertainty
stochastically perturbed parameterization
multi-stochastic physics approaches
representingmodeluncertaintybymultistochasticphysicsapproachesinthegrapesensemble
期刊论文
advancesinatmosphericsciences, 2020, 卷号: 37, 期号: 4, 页码: 328
作者:
Xu Zhizhen
;
Chen Jing
;
Jin Zheng
;
Li Hongqi
;
Chen Fajing
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/05/20
Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models
期刊论文
ENVIRONMENTAL MODELLING & SOFTWARE, 2019, 卷号: 114, 页码: 112-128
作者:
Zaherpour, Jamal
;
Mount, Nick
;
Gosling, Simon N.
;
Dankers, Rutger
;
Eisner, Stephanie
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浏览/下载:34/0
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提交时间:2019/05/22
Machine learning
Model weighting
Gene expression programming
Global hydrological models
Optimisation
Assessing the Performance of CMIP5 GCMs for Projection of Future Temperature Change over the Lower Mekong Basin
期刊论文
ATMOSPHERE, 2019, 卷号: 10, 期号: 2, 页码: 24
作者:
Ruan, Yunfeng
;
Liu, Zhaofei
;
Wang, Rui
;
Yao, Zhijun
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  |  
浏览/下载:39/0
  |  
提交时间:2019/05/22
performance
multi-model ensemble (MME)
RCP
Lower Mekong Basin
Using multi-model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia
期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 卷号: 38, 期号: 13, 页码: 4891-4902
作者:
Wang, Bin
;
Zheng, Lihong
;
Liu, De Li
;
Ji, Fei
;
Clark, Anthony
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2019/05/23
GCMs
machine learning
multi-model ensemble
random forest
support vector machine
Multimodel ensembles improve predictions of crop-environment-management interactions
期刊论文
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:65/0
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提交时间:2019/05/23
climate change impact
crop models
ensemble mean
ensemble median
multimodel ensemble
prediction
Evaluation of CMIP5 models for projection of future precipitation change in Bornean tropical rainforests
期刊论文
THEORETICAL AND APPLIED CLIMATOLOGY, 2018, 卷号: 134, 期号: 1-2, 页码: 423-440
作者:
Hussain, Mubasher
;
Yusof, Khamaruzaman Wan
;
Ul Mustafa, Muhammad Raza
;
Mahmood, Rashid
;
Jia, Shaofeng
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2019/05/23
Precipitation projection
Stochastic weather generator
Quantile perturbation
CMIP5
Tropical rainforests
Rajang River Basin
Sarawak
Borneo
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