Assimilation of multiple data sets with the ensemble Kalman filter to improve forecasts of forest carbon dynamics

Ecological Applications

Volumn 21, Issue 5, 2011, Pages 1461-1473

  Gao, Chao ^a   Wang, Han ^b   Weng, Ensheng ^a   Lakshmivarahan, S ^b   Zhang, Yanfen ^a   Luo, Yiqi ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b University of Oklahoma   (United States)

Author keywords

Carbon cycle; Data assimilation; Ecological forecast; Ensemble Kalman filter (EnKF); Parameter estimation; Uncertainty analysis

Indexed keywords

CARBON;

CARBON CYCLE; CARBON SINK; DATA ASSIMILATION; DATA SET; ENSEMBLE FORECASTING; FOREST FLOOR; KALMAN FILTER; LEAF LITTER; SOIL ORGANIC MATTER; SPATIOTEMPORAL ANALYSIS; TERRESTRIAL ECOSYSTEM; UNCERTAINTY ANALYSIS; WEATHER FORECASTING;

ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; ECOLOGY; FORECASTING; METABOLISM; METHODOLOGY; PHYSIOLOGY; STATISTICAL ANALYSIS; TIME; TREE;

CARBON; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; ECOLOGY; FORECASTING; MODELS, BIOLOGICAL; TIME FACTORS; TREES;

DUKE FOREST; NORTH CAROLINA; UNITED STATES;

EID: 79960368090     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/09-1234.1     Document Type: Article

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