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Volumn 37, Issue 11, 1999, Pages 1385-1397
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A neural network approach for a fast and accurate computation of a longwave radiative budget
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Author keywords
[No Author keywords available]
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Indexed keywords
ATMOSPHERIC THERMODYNAMICS;
CARBON DIOXIDE;
COMPUTER SIMULATION;
EARTH ATMOSPHERE;
GREENHOUSE EFFECT;
METEOROLOGICAL INSTRUMENTS;
NEURAL NETWORKS;
RADIATION;
BAND MODEL;
LINE BY LINE MODEL;
LONGWAVE RADIATIVE BUDGET;
RADIATIVE FLUXES DIURNAL CYCLE;
RADIATIVE PROPERTIES;
THERMODYNAMIC INITIAL GUESS RETRIEVAL;
TOP OF THE ATMOSPHERE;
CLIMATOLOGY;
ARTIFICIAL NEURAL NETWORK;
LONGWAVE RADIATION;
RADIATIVE TRANSFER;
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EID: 0033232465
PISSN: 08948763
EISSN: None
Source Type: Journal
DOI: 10.1175/1520-0450(1998)037<1385:annafa>2.0.co;2 Document Type: Article |
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Times cited : (300)
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References (26)
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