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科研机构
地理科学与资源研究... [73]
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期刊论文 [73]
发表日期
2018 [73]
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共73条,第1-10条
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发表日期:2018
专题:地理科学与资源研究所
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Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region
期刊论文
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2018, 卷号: 137, 页码: 19-26
作者:
Zhao, Zhe
;
Bai, Yuping
;
Wang, Guofeng
;
Chen, Jiancheng
;
Yu, Jiangli
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2019/05/23
Land eco-efficiency
Malmquist index
New-type urbanization
Beijing-Tianjin-Hebei region
Using MAIAC AOD to verify the PM2.5 spatial patterns of a land use regression model
期刊论文
ENVIRONMENTAL POLLUTION, 2018, 卷号: 243, 页码: 501-509
作者:
Li, Runkui
;
Ma, Tianxiao
;
Xu, Qun
;
Song, Xianfeng
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2019/05/23
Spatial pattern
Fine particulate matter
Land use regression model
MAIAC AOD
Beijing
Incorporating vegetation dynamics noticeably improved performance of hydrological model under vegetation greening
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 643, 页码: 610-622
作者:
Bai, Peng
;
Liu, Xiaomang
;
Zhang, Yongqiang
;
Liu, Changming
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/05/23
Hydrological model
Evaporation estimates
Vegetation dynamics
Penman-Monteith
Retrieval of Daily PM2.5 Concentrations Using Nonlinear Methods: A Case Study of the Beijing-Tianjin-Hebei Region, China
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 12, 页码: 17
作者:
Li, Lijuan
;
Chen, Baozhang
;
Zhang, Yanhu
;
Zhao, Youzheng
;
Xian, Yue
收藏
  |  
浏览/下载:96/0
  |  
提交时间:2019/05/23
daily PM2
5concentrations
remote sensing
MODIS AOD
machine learning algorithm
spatial and temporal distribution
Ranking of CMIP5 GCM Skills in Simulating Observed Precipitation over the Lower Mekong Basin, Using an Improved Score-Based Method
期刊论文
WATER, 2018, 卷号: 10, 期号: 12, 页码: 22
作者:
Ruan, Yunfeng
;
Yao, Zhijun
;
Wang, Rui
;
Liu, Zhaofei
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2019/05/23
CMIP5 GCMs
improved score-based method
rank
performance
multiple criteria
Toward a Broadband Parameterization Scheme for Estimating Surface Solar Irradiance: Development and Preliminary Results on MODIS Products
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 卷号: 123, 期号: 21, 页码: 12180-12193
作者:
Huang, Guanghui
;
Liang, Shunlin
;
Lu, Ning
;
Ma, Mingguo
;
Wang, Dongdong
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2019/05/23
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
Assessment of Multi-Source Evapotranspiration Products over China Using Eddy Covariance Observations
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 11, 页码: 28
作者:
Li, Shijie
;
Wang, Guojie
;
Sun, Shanlei
;
Chen, Haishan
;
Bai, Peng
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2019/05/23
evapotranspiration
eddy covariance observations
latent heat flux
a stratification method
multi-source
China
Improving PM2.5 Forecasting and Emission Estimation Based on the Bayesian Optimization Method and the Coupled FLEXPART-WRF Model
期刊论文
ATMOSPHERE, 2018, 卷号: 9, 期号: 11, 页码: 17
作者:
Guo, Lifeng
;
Chen, Baozhang
;
Zhang, Huifang
;
Xu, Guang
;
Lu, Lijiang
收藏
  |  
浏览/下载:131/0
  |  
提交时间:2019/05/23
PM2
5
FLEXPART-WRF
real-time concentrations
inventory
Bayesian optimization method
Intercomparison and evaluation of three global high-resolution evapotranspiration products across China
期刊论文
JOURNAL OF HYDROLOGY, 2018, 卷号: 566, 页码: 743-755
作者:
Bai, Peng
;
Liu, Xiaomang
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2019/05/23
Evapotranspiration
Assessment
Uncertainty
Water balance
China
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