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期刊论文 [12]
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Terrestrial carbon cycle model-data fusion: Progress and challenges
期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2021, 页码: 13
作者:
Li, Xin
;
Ma, Hanqing
;
Ran, Youhua
;
Wang, Xufeng
;
Zhu, Gaofeng
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2021/11/05
Carbon cycle
Model-data fusion
Data assimilation
Parameter estimation
Remote sensing
Uncertainty
Quantifying the impacts of human water use and climate variations on recent drying of Lake Urmia basin: the value of different sets of spaceborne and in situ data for calibrating a global hydrological model
期刊论文
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2020, 卷号: 24, 期号: 4, 页码: 1939-1956
作者:
Hosseini-Moghari, Seyed-Mohammad
;
Araghinejad, Shahab
;
Tourian, Mohammad J.
;
Ebrahimi, Kumars
;
Doell, Petra
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  |  
浏览/下载:8/0
  |  
提交时间:2021/03/23
Comparison of the performance of 22 models describing soil water retention curves from saturation to oven dryness
期刊论文
VADOSE ZONE JOURNAL, 2020, 卷号: 19, 期号: 1, 页码: 20
作者:
Du, Chaoyang
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浏览/下载:8/0
  |  
提交时间:2021/04/25
Global parameters sensitivity analysis of modeling water, energy and carbon exchange of an arid agricultural ecosystem
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2019, 卷号: 271, 页码: 295-306
作者:
Wu, Mousong
;
Ran, Youhua
;
Jansson, Per-Erik
;
Chen, Peng
;
Tan, Xiao
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  |  
浏览/下载:84/0
  |  
提交时间:2019/10/08
Arid agricultural ecosystem
Parameter sensitivity index
Equifinality
Water-carbon coupling
Remote sensing
A hierarchical Bayesian approach for multi-site optimization of a satellite-based evapotranspiration model
期刊论文
HYDROLOGICAL PROCESSES, 2018, 卷号: 32, 期号: 26, 页码: 3907-3923
作者:
Su, Yonghong
;
Feng, Qi
;
Zhu, Gaofeng
;
Gu, Chunjie
;
Wang, Yunquan
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  |  
浏览/下载:266/0
  |  
提交时间:2019/10/09
differential evolution Markov chain algorithm
evaporation
evapotranspiration
hierarchical Bayesian method
process-based ET model
transpiration
Quantifying uncertainties from additional nitrogen data and processes in a terrestrial ecosystem model with Bayesian probabilistic inversion
期刊论文
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2017, 卷号: 9, 期号: 1, 页码: 548-565
作者:
Du, Zhenggang
;
Zhou, Xuhui
;
Shao, Junjiong
;
Yu, Guirui
;
Wang, Huimin
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  |  
浏览/下载:23/0
  |  
提交时间:2019/09/25
uncertainty
data assimilation
carbon-nitrogen coupling model
Shannon information index
relative information
Parameter uncertainty-based pattern identification and optimization for robust decision making on watershed load reduction
期刊论文
JOURNAL OF HYDROLOGY, 2017
Jiang, Qingsong
;
Su, Han
;
Liu, Yong
;
Zou, Rui
;
Ye, Rui
;
Guo, Huaicheng
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  |  
浏览/下载:6/0
  |  
提交时间:2017/12/03
Parameter uncertainty
Pattern identification
Robustness
Decision preference
Hybrid clustering analysis
Lake Bali
K-MEANS
QUALITY MODEL
AUTOMATIC CALIBRATION
CLUSTERING-ALGORITHM
CLIMATE-CHANGE
MANAGEMENT
RELIABILITY
NETWORKS
SENSITIVITY
STORMWATER
Parameter estimation for a simple two-source evapotranspirationmodel using Bayesian inference and its application to remotelysensed estimations of latent heat flux at the regional scale
期刊论文
Agricultural and Forest Meteorology, 2016, 卷号: 230-231, 期号: 2016, 页码: 20-32
作者:
Ma,MG(Ma,Mingguo)[4]
;
Zhu,GF(Zhu,Gaofeng)[3]
;
Jin,L(Jin,Long)[2]
;
Song,Y(Song,Yi)[1]
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  |  
浏览/下载:15/0
  |  
提交时间:2018/11/06
A partitioned update scheme for state-parameter estimation of distributed hydrologic models based on the ensemble Kalman filter
期刊论文
water resources research, 2013
Xie, Xianhong
;
Zhang, Dongxiao
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2015/11/10
state-parameter estimation
partitioned update scheme
distributed hydrologic models
data assimilation
ensemble Kalman filter
real-time updating
SEQUENTIAL DATA ASSIMILATION
UNCERTAINTY ASSESSMENT
SENSITIVITY-ANALYSIS
SOIL-MOISTURE
CALIBRATION
FLOW
OPTIMIZATION
EQUIFINALITY
PREDICTION
SYSTEMS
Evaluation of the subjective factors of the GLUE method and comparison with the formal Bayesian method in uncertainty assessment of hydrological models
SCI/SSCI论文
2010
作者:
Xia J.
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  |  
浏览/下载:25/0
  |  
提交时间:2012/06/08
Uncertainty assessment
Hydrological models
GLUE
Bayesian methods
WASMOD
DTVGM
parameter-estimation
chaohe basin
catchment
prediction
equifinality
incoherence
likelihood
algorithm
systems
future
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