Downward Atmospheric Longwave Radiation in the City of Sao Paulo

Journal Article · Wed Mar 11 04:00:00 EDT 2009 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.3117016· OSTI ID:21293347

Barbaro, Eduardo W; Oliveira, Amauri P; Soares, Jacyra; Ferreira, Mauricio J ^[1]; Boznar, Marija Z; Mlakar, Primoz ^[2]; Escobedo, Joao F ^[3]

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1. Group of Micrometeorology, Department of Atmospheric Science, University of Sao Paulo, Rua do Matao, 1226, Sao Paulo, SP (Brazil)
2. MEIS d.o.o, Ljubljana (Slovenia)
3. Department of Natural Resources, School of Agronomic Sciences, State University of Sao Paulo, Botucatu, Sao Paulo (Brazil)

This work evaluates objectively the consistency and quality of a 9 year dataset based on 5 minute average values of downward longwave atmospheric (LW) emission, shortwave radiation, temperature and relative humidity. All these parameters were observed simultaneously and continuously from 1997 to 2006 in the IAG micrometeorological platform, located at the top of the IAG-USP building. The pyrgeometer dome emission effect was removed using neural network technique reducing the downward long wave atmospheric emission error to 3.5%. The comparison, between the monthly average values of LW emission observed in Sao Paulo and satellite estimates from SRB-NASA project, indicated a very good agreement. Furthermore, this work investigates the performance of 10 empirical expressions to estimate the LW emission at the surface. The comparison between the models indicates that Brunt's one presents the better results, with smallest ''MBE,''''RMSE'' and biggest ''d'' index of agreement, therefore Brunt is the most indicated model to estimate LW emission under clear sky conditions in the city of Sao Paulo.

• OSTI ID: 21293347
• Journal Information: AIP Conference Proceedings, Journal Name: AIP Conference Proceedings Journal Issue: 1 Vol. 1100; ISSN APCPCS; ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

58 GEOSCIENCES
COMPARATIVE EVALUATIONS
EARTH ATMOSPHERE
EMISSION
ERRORS
HUMIDITY
NEURAL NETWORKS
PERFORMANCE
RADIANT HEAT TRANSFER
REMOTE SENSING
SATELLITES
SKY
SOLAR RADIATION
SURFACES
URBAN AREAS