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地理科学与资源研究... [11]
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期刊论文 [7]
SCI/SSCI论文 [4]
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2021 [2]
2020 [1]
2018 [1]
2017 [2]
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专题:地理科学与资源研究所
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Response of Growing Season Gross Primary Production to El Nino in Different Phases of the Pacific Decadal Oscillation over Eastern China Based on Bayesian Model Averaging
期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2021, 卷号: 38, 期号: 9, 页码: 1580-1595
作者:
Li, Yueyue
;
Dan, Li
;
Peng, Jing
;
Wang, Junbang
;
Yang, Fuqiang
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2021/11/05
East China
Bayesian model averaging
Gross primary production
El Nino
Pacific Decadal Oscillation
Monsoon rainfall
Improving terrestrial evapotranspiration estimation across China during 2000-2018 with machine learning methods
期刊论文
JOURNAL OF HYDROLOGY, 2021, 卷号: 600, 页码: 18
作者:
Yin, Lichang
;
Tao, Fulu
;
Chen, Yi
;
Liu, Fengshan
;
Hu, Jian
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2021/11/05
Evapotranspiration
Machine learning
process-based ET
ET integration
China
Gaussian process regression
A Comparison of SSEBop-Model-Based Evapotranspiration with Eight Evapotranspiration Products in the Yellow River Basin, China
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 16, 页码: 30
作者:
Yin, Lichang
;
Wang, Xiaofeng
;
Feng, Xiaoming
;
Fu, Bojie
;
Chen, Yongzhe
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/03/18
evapotranspiration
operational simplified surface energy balance model
Yellow River 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
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  |  
浏览/下载:37/0
  |  
提交时间:2019/05/23
GCMs
machine learning
multi-model ensemble
random forest
support vector machine
Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2017, 卷号: 242, 页码: 55-74
作者:
Yao, Yunjun
;
Liang, Shunlin
;
Li, Xianglan
;
Chen, Jiquan
;
Liu, Shaomin
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  |  
浏览/下载:25/0
  |  
提交时间:2019/09/25
Terrestrial evapotranspiration
Machine learning methods
Bayesian model averaging method
Plant functional type
Simulation of the climatic effects of land use/land cover changes in eastern China using multi-model ensembles
期刊论文
GLOBAL AND PLANETARY CHANGE, 2017, 卷号: 154, 页码: 1-9
作者:
Zhang, Xianliang
;
Xiong, Zhe
;
Zhang, Xuezhen
;
Shi, Ying
;
Liu, Jiyuan
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/09/25
Land use change
Eastern China
Multi-model ensemble
WRF
RegCM3
RIEMS
Using multi-model ensembles to improve the simulated effects of land use/cover change on temperature: a case study over northeast China
期刊论文
CLIMATE DYNAMICS, 2016, 卷号: 46, 期号: 3-4, 页码: 765-778
作者:
Zhang, Xianliang
;
Xiong, Zhe
;
Zhang, Xuezhen
;
Shi, Ying
;
Liu, Jiyuan
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/09/26
Land use/cover change
Regional climate model
Multi-model ensemble
Bayesian model averaging
Bayesian model averaging method for evaluating associations between air pollution and respiratory mortality: a time-series study
SCI/SSCI论文
2016
作者:
Fang X.
;
Li, R. K.
;
Kan, H. D.
;
Bottai, M.
;
Fang, F.
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2017/11/09
generalized additive-model
particulate matter
european cities
selection
exposure
splines
china
pm10
temperature
pollutants
Evaluating the skill of NMME seasonal precipitation ensemble predictions for 17 hydroclimatic regions in continental China
SCI/SSCI论文
2016
作者:
Ma F.
;
Ye, A. Z.
;
Deng, X. X.
;
Zhou, Z.
;
Liu, X. J.
收藏
  |  
浏览/下载:20/0
  |  
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
Bayesian model averaging method for evaluating associations between air pollution and respiratory mortality: a time-series study
SCI/SSCI论文
2016
作者:
Fang X.
;
Li, R. K.
;
Kan, H. D.
;
Bottai, M.
;
Fang, F.
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2016/12/16
generalized additive-model
particulate matter
european cities
selection
exposure
splines
china
pm10
temperature
pollutants
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