Gap filling and quality assessment of CO2 and water vapour fluxes above an urban area with radial basis function neural networks

Boundary-Layer Meteorology

Volumn 126, Issue 3, 2008, Pages 389-413

  Schmidt, Andres ^a   Wrzesinsky, T ^a   Klemm, O ^a  

^a UNIVERSITY OF MÜNSTER   (Germany)

Author keywords

CO2 fluxes; Eddy covariance; Gap filling; Neural networks; Radial basis functions; Urban area

Indexed keywords

CARBON DIOXIDE; ECOSYSTEMS; EXPERT SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; WATER VAPOR;

ANTHOPOGENIC SOURCES; MULTI-LAYER PERCEPTRON; VERTICAL TURBULENT FLUXES;

TURBULENCE;

CARBON DIOXIDE; ECOSYSTEMS; EXPERT SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; TURBULENCE; WATER VAPOR;

ANTHROPOGENIC SOURCE; ARTIFICIAL NEURAL NETWORK; CARBON DIOXIDE; EDDY COVARIANCE; MICROMETEOROLOGY; SENSIBLE HEAT FLUX; TURBULENCE; URBAN AREA; WATER VAPOR;

CENTRAL EUROPE; EURASIA; EUROPE; GERMANY; MUNSTER BASIN [NORTH RHINE-WESTPHALIA]; NORTH RHINE-WESTPHALIA;

EID: 38649139634     PISSN: 00068314     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10546-007-9249-7     Document Type: Article

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