中国科学院机构知识库网格
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 [6]
合肥物质科学研究院 [2]
植物研究所 [2]
西北高原生物研究所 [1]
寒区旱区环境与工程研... [1]
采集方式
OAI收割 [12]
内容类型
期刊论文 [8]
SCI/SSCI论文 [4]
发表日期
2020 [3]
2019 [2]
2016 [1]
2015 [5]
2014 [1]
学科主题
Multidisci... [2]
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The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
期刊论文
OAI收割
SCIENTIFIC DATA, 2020, 卷号: 7, 期号: 1, 页码: 27
作者:
Pastorello, Gilberto
;
Trotta, Carlo
;
Canfora, Eleonora
;
Chu, Housen
;
Christianson, Danielle
  |  
收藏
  |  
浏览/下载:134/0
  |  
提交时间:2021/03/18
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
期刊论文
OAI收割
SCIENTIFIC DATA, 2020, 卷号: 7, 期号: 1
作者:
Pastorello, Gilberto
;
Trotta, Carlo
;
Canfora, Eleonora
;
Chu, Housen
;
Christianson, Danielle
  |  
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2020/11/25
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
期刊论文
OAI收割
SCIENTIFIC DATA, 2020, 卷号: 7, 期号: 1
作者:
Pastorello, Gilberto
;
Trotta, Carlo
;
Canfora, Eleonora
;
Chu, Housen
;
Christianson, Danielle
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2022/03/01
Validation of the ICRF antenna coupling code RAPLICASOL against TOPICA and experiments
期刊论文
OAI收割
NUCLEAR FUSION, 2019, 卷号: 59, 期号: 4, 页码: 14
作者:
Tierens, W.
;
Milanesio, D.
;
Urbanczyk, G.
  |  
收藏
  |  
浏览/下载:145/0
  |  
提交时间:2020/03/31
ICRF
finite elements
simulation
A locked mode indicator for disruption prediction on JET and ASDEX upgrade
期刊论文
OAI收割
FUSION ENGINEERING AND DESIGN, 2019, 卷号: 138, 期号: 无, 页码: 254-266
作者:
Sias, G.
;
Cannas, B.
;
Fanni, A.
;
Murari, A.
;
Pau, A.
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2020/05/21
Tokamak
Disruption prediction
Locked mode signal
Disruption indicators
Feature extraction
Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites
SCI/SSCI论文
OAI收割
2016
作者:
Zhou Y. L.
;
Wu, X. C.
;
Ju, W. M.
;
Chen, J. M.
;
Wang, S. Q.
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2016/12/16
net ecosystem exchange
photosynthetically active radiation
carbon-dioxide exchange
terrestrial primary production
eddy covariance
technique
water-vapor exchange
ncep-ncar reanalysis
land-surface
model
deciduous forest
diffuse-radiation
Joint control of terrestrial gross primary productivity by plant phenology and physiology
SCI/SSCI论文
OAI收割
2015
作者:
Xia J. Y.
;
Niu, S. L.
;
Ciais, P.
;
Janssens, I. A.
;
Chen, J. Q.
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2015/12/09
ecosystem carbon uptake
growing season length
photosynthetic capacity
spatiotemporal variability
climate extreme
climate-change
chlorophyll fluorescence
ecosystem productivity
vegetation phenology
stomatal conductance
forest phenology
carbon
uptake
models
photosynthesis
variability
Performance of Linear and Nonlinear Two-Leaf Light Use Efficiency Models at Different Temporal Scales
SCI/SSCI论文
OAI收割
2015
作者:
Wu X. C.
;
Ju, W. M.
;
Zhou, Y. L.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2015/12/09
gross primary production
net ecosystem exchange
carbon-dioxide
exchange
water-vapor exchange
radiation-use efficiency
in-situ
measurements
pine mixed forest
primary productivity
interannual
variability
flux measurements
Biotic and climatic controls on interannual variability in carbon fluxes across terrestrial ecosystems
SCI/SSCI论文
OAI收割
2015
作者:
Shao J. J.
;
Zhou, X. H.
;
Luo, Y. Q.
;
Li, B.
;
Aurela, M.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2015/12/09
Net ecosystem exchange
Interannual variability
Biotic effect
Climatic
effect
Relative importance
Climatic stress
atmosphere co2 exchange
european forests
underlying mechanisms
thermal-acclimation
deciduous forest
short-term
respiration
drought
dioxide
soil
Joint control of terrestrial gross primary productivity by plant phenology and physiology
期刊论文
OAI收割
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 卷号: 112, 期号: 9, 页码: 2788-2793
作者:
Xia, Jianyang
;
Niu, Shuli
;
Ciais, Philippe
;
Janssens, Ivan A.
;
Chen, Jiquan
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2022/09/13
ecosystem carbon uptake
growing season length
photosynthetic capacity
spatiotemporal variability
climate extreme