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A case study of ship track formation in a polluted marine boundary layer OMA
Noone, K.J.; Johnson, D.W.; Taylor, J.P.; Ferek, R.J.; Garrett, T.; Hobbs, P.V.; Durkee, P.A.; Nielsen, K.; Öström, E.; O'Dowd, C.; Smith, M.H.; Russell, L.M.; Flagan, R.C.; Seinfeld, J.H.; De Bock, L.; Van Grieken, R.; Hudson, J.G.; Brooks, I.; Gasparovic, R.F.; Pockalny, R.A..
A case study of the effects of ship emissions on the microphysical, radiative, and chemical properties of polluted marine boundary layer clouds is presented. Two ship tracks are discussed in detail. <i>In situ</i> measurements of cloud drop size distributions, liquid water content, and cloud radiative properties, as well as aerosol size distributions (outside-cloud, interstitial, and cloud droplet residual particles) and aerosol chemistry, are presented. These are related to remotely sensed measurements of cloud radiative properties. The authors examine the processes behind ship track formation in a polluted marine boundary layer as an example of the effects of anthropogenic particulate pollution on the albedo of marine stratiform clouds.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Aerosols; Air pollution; Albedo; Atmosphere; Atmosphere; Atmospheric boundary layer; Boundary layers; Cloud cover; Clouds; Man-induced effects; Marine environment; Marine pollution; Particulates; Remote sensing; Ships.
Ano: 2000 URL: http://www.vliz.be/nl/open-marien-archief?module=ref&refid=8839
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Assessment of suitable observation conditions for a monthly operational remote sensing based crop monitoring system. Repositório Alice
EBERHARDT, I. D. R.; MELO, M. P.; RIZZI, R.; FORMAGGIO, A. R.; ATZBERGER, C.; LUIZ, A. J. B.; FOSCHIERA, W.; SCHULTZ, B.; TRABAQUINI, K.; GOLTZ, E..
Abstract: Cloud cover is the main issue to consider when remote sensing images are used to identify, map and monitor croplands, especially over the summer season (October to March in Brazi). This paper aims at evaluating clear sky conditions over four Brazilian states (Sa?o Paulo, Parana?, Santa Catarina, and Rio Grande do Sul) to assess suitable observation conditions for a monthly basis operational crop monitoring system. Cloudiness was analyzed using MODIS Cloud Mask product (MOD35), which presents four labels for cloud cover status: cloudy, uncertainty, probably clear and confident clear. R software was used to compute average values of clear sky with a confidence interval of 95% for each month between July 1st, 2000 and June 30th, 2013. Results showed...
Tipo: Separatas Palavras-chave: Sensoriamento remoto; Nuvem; Produção agrícola; Remote sensing; Crop production; Cloud cover.
Ano: 2014 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1011631
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