8 research outputs found

    Worldwide variations in artificial skyglow

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    Despite constituting a widespread and significant environmental change, understanding of artificial nighttime skyglow is extremely limited. Until now, published monitoring studies have been local or regional in scope, and typically of short duration. In this first major international compilation of monitoring data we answer several key questions about skyglow properties. Skyglow is observed to vary over four orders of magnitude, a range hundreds of times larger than was the case before artificial light. Nearly all of the study sites were polluted by artificial light. A non-linear relationship is observed between the sky brightness on clear and overcast nights, with a change in behavior near the rural to urban landuse transition. Overcast skies ranged from a third darker to almost 18 times brighter than clear. Clear sky radiances estimated by the World Atlas of Artificial Night Sky Brightness were found to be overestimated by ~25%; our dataset will play an important role in the calibration and ground truthing of future skyglow models. Most of the brightly lit sites darkened as the night progressed, typically by ~5% per hour. The great variation in skyglow radiance observed from site-to-site and with changing meteorological conditions underlines the need for a long-term international monitoring program

    Stratospheric ozone and surface ultraviolet

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    As a result of the Montreal Protocol, ozone is expected to recover from the effect of ozone-depleting substances (ODSs) as their abundances decline in the coming decades. The 2006 Assessment showed that globally averaged column ozone ceased to decline around 1996, meeting the criterion for the first stage of recovery. Ozone is expected to increase as a result of continued decrease in ODSs (second stage of recovery). This chapter discusses recent observations of ozone and ultraviolet radiation in the context of their historical records. Natural variability, observational uncertainty, and stratospheric cooling necessitate a long record in order to attribute an ozone increase to decreases in ODSs. Table S2-1 summarizes ozone changes since 1980. The primary tools used in this Assessment for prediction of ozone are chemistry-climate models (CCMs). These CCMs are designed to represent the processes determining the amount of stratospheric ozone and its response to changes in ODSs and greenhouse gases. Eighteen CCMs have been recently evaluated using a variety of process-based comparisons to measurements. The CCMs are further evaluated here by comparison of trends calculated from measurements with trends calculated from simulations designed to reproduce ozone behavior during an observing period.Fil: Douglass, Anne R.. No especifĂ­ca;Fil: Fioletov, Vitali E.. No especifĂ­ca;Fil: Godin Beekmann, Sophie. No especifĂ­ca;Fil: MĂŒller, Rolf. No especifĂ­ca;Fil: Stolarski, Richard S.. No especifĂ­ca;Fil: Webb, Ann R.. No especifĂ­ca;Fil: Arola, Antti. No especifĂ­ca;Fil: Burkholder, James B.. No especifĂ­ca;Fil: Burrows, John P.. No especifĂ­ca;Fil: Chipperfield, Martyn P.. No especifĂ­ca;Fil: Cordero, Raul. No especifĂ­ca;Fil: David, Christine. No especifĂ­ca;Fil: den Outer, Peter N.. No especifĂ­ca;Fil: Diaz, Susana Beatriz. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Instituto de Investigaciones en IngenierĂ­a GenĂ©tica y BiologĂ­a Molecular "Dr. HĂ©ctor N. Torres"; ArgentinaFil: Flynn, Lawrence E.. No especifĂ­ca;Fil: Hegglin,Michaela I.. No especifĂ­ca;Fil: Herman, Jay R. No especifĂ­ca;Fil: Huck, Petra. No especifĂ­ca;Fil: Janjai, Serm. No especifĂ­ca;Fil: JĂĄnosi, Imre M. No especifĂ­ca;Fil: Krzyƛcin, Janusz W. No especifĂ­ca;Fil: Liu, Yi. No especifĂ­ca;Fil: Logan, Jennifer. No especifĂ­ca;Fil: Matthes, Katja. No especifĂ­ca;Fil: McKenzie, Richard L.. No especifĂ­ca;Fil: Muthama, Nzioka John. No especifĂ­ca;Fil: Petropavlovskikh, Irina. No especifĂ­ca;Fil: Pitts, Michael. No especifĂ­ca;Fil: Ramachandran, S.. No especifĂ­ca;Fil: Rex, Markus. No especifĂ­ca;Fil: Salawitch, Ross J.. No especifĂ­ca;Fil: Sinnhuber, Björn Martin. No especifĂ­ca;Fil: Staehelin, Johannes. No especifĂ­ca;Fil: Strahan, Susan. No especifĂ­ca;Fil: Tourpali, Kleareti. No especifĂ­ca;Fil: Valverde Canossa, JĂ©ssica. No especifĂ­ca;Fil: Vigouroux, Corinne. No especifĂ­ca

    Worldwide variations in artificial skyglow

    No full text
    Despite constituting a widespread and significant environmental change, understanding of artificial nighttime skyglow is extremely limited. Until now, published monitoring studies have been local or regional in scope, and typically of short duration. In this first major international compilation of monitoring data we answer several key questions about skyglow properties. Skyglow is observed to vary over four orders of magnitude, a range hundreds of times larger than was the case before artificial light. Nearly all of the study sites were polluted by artificial light. A non-linear relationship is observed between the sky brightness on clear and overcast nights, with a change in behavior near the rural to urban landuse transition. Overcast skies ranged from a third darker to almost 18 times brighter than clear. Clear sky radiances estimated by the World Atlas of Artificial Night Sky Brightness were found to be overestimated by ,25%; our dataset will play an important role in the calibration and ground truthing of future skyglow models. Most of the brightly lit sites darkened as the night progressed, typically by ,5% per hour. The great variation in skyglow radiance observed from site-to-site and with changing meteorological conditions underlines the need for a long-term international monitoring program

    Worldwide variations in artificial skyglow

    No full text
    Despite constituting a widespread and significant environmental change, understanding of artificial nighttime skyglow is extremely limited. Until now, published monitoring studies have been local or regional in scope, and typically of short duration. In this first major international compilation of monitoring data we answer several key questions about skyglow properties. Skyglow is observed to vary over four orders of magnitude, a range hundreds of times larger than was the case before artificial light. Nearly all of the study sites were polluted by artificial light. A non-linear relationship is observed between the sky brightness on clear and overcast nights, with a change in behavior near the rural to urban landuse transition. Overcast skies ranged from a third darker to almost 18 times brighter than clear. Clear sky radiances estimated by the World Atlas of Artificial Night Sky Brightness were found to be overestimated by ~25%; our dataset will play an important role in the calibration and ground truthing of future skyglow models. Most of the brightly lit sites darkened as the night progressed, typically by ~5% per hour. The great variation in skyglow radiance observed from site-to-site and with changing meteorological conditions underlines the need for a long-term international monitoring program

    Systematic plant morphology and anatomy‐50 years of progress

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