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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: M. Collaud Coen; E. Andrews; E. Andrews; A. Alastuey; +50 Authors

    Abstract. In order to assess the evolution of aerosol parameters affecting climate change, a long-term trend analysis of aerosol optical properties was performed on time series from 52 stations situated across five continents. The time series of measured scattering, backscattering and absorption coefficients as well as the derived single scattering albedo, backscattering fraction, scattering and absorption Ångström exponents covered at least 10 years and up to 40 years for some stations. The non-parametric seasonal Mann–Kendall (MK) statistical test associated with several pre-whitening methods and with Sen's slope was used as the main trend analysis method. Comparisons with general least mean square associated with autoregressive bootstrap (GLS/ARB) and with standard least mean square analysis (LMS) enabled confirmation of the detected MK statistically significant trends and the assessment of advantages and limitations of each method. Currently, scattering and backscattering coefficient trends are mostly decreasing in Europe and North America and are not statistically significant in Asia, while polar stations exhibit a mix of increasing and decreasing trends. A few increasing trends are also found at some stations in North America and Australia. Absorption coefficient time series also exhibit primarily decreasing trends. For single scattering albedo, 52 % of the sites exhibit statistically significant positive trends, mostly in Asia, eastern/northern Europe and the Arctic, 22 % of sites exhibit statistically significant negative trends, mostly in central Europe and central North America, while the remaining 26 % of sites have trends which are not statistically significant. In addition to evaluating trends for the overall time series, the evolution of the trends in sequential 10-year segments was also analyzed. For scattering and backscattering, statistically significant increasing 10-year trends are primarily found for earlier periods (10-year trends ending in 2010–2015) for polar stations and Mauna Loa. For most of the stations, the present-day statistically significant decreasing 10-year trends of the single scattering albedo were preceded by not statistically significant and statistically significant increasing 10-year trends. The effect of air pollution abatement policies in continental North America is very obvious in the 10-year trends of the scattering coefficient – there is a shift to statistically significant negative trends in 2009–2012 for all stations in the eastern and central USA. This long-term trend analysis of aerosol radiative properties with a broad spatial coverage provides insight into potential aerosol effects on climate changes.

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    Atmospheric Chemistry and Physics
    Article . 2020 . Peer-reviewed
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    Atmospheric Chemistry and Physics
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    Atmospheric Chemistry and Physics
    Article . 2020
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    Article . 2020
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      Atmospheric Chemistry and Physics
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  • Authors: Paolo Laj; Alessandro Bigi; Clémence Rose; Elisabeth Andrews; +96 Authors

    Résumé. Les particules d'aérosol sont des constituants essentiels de l'atmosphère terrestre, ayant un impact direct sur l'équilibre du rayonnement terrestre en diffusant et en absorbant le rayonnement solaire, et indirectement en agissant comme des noyaux de condensation des nuages. Contrairement à la plupart des gaz à effet de serre, les particules d'aérosol ont des temps de résidence atmosphériques courts, ce qui entraîne une distribution très hétérogène dans l'espace et le temps. Il est clairement nécessaire de documenter cette variabilité à l'échelle régionale à travers des observations impliquant, en particulier, le segment in situ près de la surface du système d'observation atmosphérique. Cet article fournira le plus grand effort jusqu'à présent pour documenter la variabilité des propriétés des aérosols in situ pertinentes pour le climat (à savoir les coefficients de diffusion et d'absorption de la lumière des particules dépendant de la longueur d'onde, la concentration en nombre de particules et la distribution granulométrique) de tous les sites connectés au réseau Global Atmosphere Watch. Des données de haute qualité provenant de près de 90 stations dans le monde ont été collectées et contrôlées pour la qualité et sont rapportées pour une année de référence en 2017, fournissant une vue très étendue et robuste de la variabilité de ces variables dans le monde. La gamme de variabilité observée dans le monde entier pour les coefficients de diffusion et d'absorption de la lumière, l'albédo à diffusion unique et la concentration en nombre de particules est présentée avec des informations préliminaires sur leurs tendances à long terme et une comparaison avec la simulation par modèle pour les différentes stations. La portée du présent document est également de fournir la suite nécessaire d'informations, y compris les procédures de fourniture de données, le contrôle et l'analyse de la qualité, la politique de données et l'utilisation du réseau de mesure des aérosols au sol. Il fournit aux utilisateurs du Centre mondial de données sur les aérosols la confiance requise dans les produits de données sous la forme d'une chaîne de valeur entièrement caractérisée, y compris l'estimation de l'incertitude et les exigences pour contribuer au système mondial de surveillance du climat. Resumen. Las partículas de aerosol son constituyentes esenciales de la atmósfera terrestre, impactando el equilibrio de la radiación terrestre directamente al dispersar y absorber la radiación solar, e indirectamente al actuar como núcleos de condensación de nubes. A diferencia de la mayoría de los gases de efecto invernadero, las partículas de aerosol tienen tiempos de residencia atmosférica cortos, lo que resulta en una distribución altamente heterogénea en el espacio y el tiempo. Existe una clara necesidad de documentar esta variabilidad a escala regional a través de estudios que involucren, en particular, el segmento cercano a la superficie in situ del sistema de observación atmosférica. Este documento proporcionará el mayor esfuerzo hasta el momento para documentar la variabilidad de las propiedades de los aerosoles in situ relevantes para el clima (es decir, la dispersión de la luz de partículas y los coeficientes de absorción dependientes de la longitud de onda, la concentración del número de partículas y la distribución del tamaño del número de partículas) de todos los sitios conectados a la red de Vigilancia de la Atmósfera Global. Se han recopilado y controlado datos de alta calidad de casi 90 estaciones en todo el mundo y se informan para un año de referencia en 2017, lo que proporciona una visión muy amplia y sólida de la variabilidad de estas variables en todo el mundo. El rango de variabilidad observado en todo el mundo para los coeficientes de dispersión y absorción de la luz, el albedo de dispersión única y la concentración del número de partículas se presentan junto con información preliminar sobre sus tendencias a largo plazo y la comparación con la simulación del modelo para las diferentes estaciones. El alcance del presente documento también es proporcionar el conjunto de información necesario, incluidos los procedimientos de suministro de datos, el control y análisis de calidad, la política de datos y el uso de la red de medición de aerosoles terrestre. Ofrece a los usuarios del Centro Mundial de Datos sobre Aerosoles la confianza requerida en los productos de datos en forma de una cadena de valor completamente caracterizada, incluida la estimación de la incertidumbre y los requisitos para contribuir al sistema de vigilancia del clima mundial. Abstract. Aerosol particles are essential constituents of the Earth's atmosphere, impacting the earth radiation balance directly by scattering and absorbing solar radiation, and indirectly by acting as cloud condensation nuclei. In contrast to most greenhouse gases, aerosol particles have short atmospheric residence times, resulting in a highly heterogeneous distribution in space and time. There is a clear need to document this variability at regional scale through observations involving, in particular, the in situ near-surface segment of the atmospheric observation system. This paper will provide the widest effort so far to document variability of climate-relevant in situ aerosol properties (namely wavelength dependent particle light scattering and absorption coefficients, particle number concentration and particle number size distribution) from all sites connected to the Global Atmosphere Watch network. High-quality data from almost 90 stations worldwide have been collected and controlled for quality and are reported for a reference year in 2017, providing a very extended and robust view of the variability of these variables worldwide. The range of variability observed worldwide for light scattering and absorption coefficients, single-scattering albedo, and particle number concentration are presented together with preliminary information on their long-term trends and comparison with model simulation for the different stations. The scope of the present paper is also to provide the necessary suite of information, including data provision procedures, quality control and analysis, data policy, and usage of the ground-based aerosol measurement network. It delivers to users of the World Data Centre on Aerosol, the required confidence in data products in the form of a fully characterized value chain, including uncertainty estimation and requirements for contributing to the global climate monitoring system. الخلاصة: جسيمات الهباء الجوي هي مكونات أساسية للغلاف الجوي للأرض، وتؤثر على توازن إشعاع الأرض بشكل مباشر عن طريق تشتت وامتصاص الإشعاع الشمسي، وبشكل غير مباشر عن طريق العمل كنوى تكثيف السحب. على النقيض من معظم غازات الدفيئة، فإن جزيئات الهباء الجوي لها أوقات بقاء قصيرة في الغلاف الجوي، مما يؤدي إلى توزيع غير متجانس للغاية في المكان والزمان. هناك حاجة واضحة لتوثيق هذا التباين على المستوى الإقليمي من خلال عمليات الرصد التي تشمل، على وجه الخصوص، الجزء القريب من السطح في الموقع من نظام مراقبة الغلاف الجوي. ستوفر هذه الورقة أوسع جهد حتى الآن لتوثيق تقلب خصائص الهباء الجوي الموضعي ذات الصلة بالمناخ (أي معاملات تشتت وامتصاص ضوء الجسيمات المعتمدة على الطول الموجي وتركيز رقم الجسيمات وتوزيع حجم رقم الجسيمات) من جميع المواقع المتصلة بشبكة مراقبة الغلاف الجوي العالمية. تم جمع بيانات عالية الجودة من حوالي 90 محطة في جميع أنحاء العالم والتحكم فيها من أجل الجودة ويتم الإبلاغ عنها لسنة مرجعية في عام 2017، مما يوفر رؤية موسعة وقوية للغاية لتباين هذه المتغيرات في جميع أنحاء العالم. يتم تقديم نطاق التباين الملحوظ في جميع أنحاء العالم لمعاملات تشتت الضوء وامتصاصه، والبياض أحادي التشتت، وتركيز عدد الجسيمات مع معلومات أولية عن اتجاهاتها طويلة الأجل ومقارنتها بمحاكاة النموذج للمحطات المختلفة. يتمثل نطاق هذه الورقة أيضًا في توفير مجموعة المعلومات اللازمة، بما في ذلك إجراءات توفير البيانات، ومراقبة الجودة وتحليلها، وسياسة البيانات، واستخدام شبكة قياس الهباء الجوي الأرضية. وهي توفر لمستخدمي مركز البيانات العالمي المعني بالهباء الجوي الثقة المطلوبة في منتجات البيانات في شكل سلسلة قيمة مميزة بالكامل، بما في ذلك تقدير عدم اليقين ومتطلبات المساهمة في نظام مراقبة المناخ العالمي.

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    Authors: Heiskanen, Jouni; Brümmer, Christian; Buchmann, Nina; Calfapietra, Carlo; +35 Authors

    Abstract Since 1750, land-use change and fossil fuel combustion has led to a 46% increase in the atmospheric carbon dioxide (CO2) concentrations, causing global warming with substantial societal consequences. The Paris Agreement aims to limit global temperature increases to well below 2°C above preindustrial levels. Increasing levels of CO2 and other greenhouse gases (GHGs), such as methane (CH4) and nitrous oxide (N2O), in the atmosphere are the primary cause of climate change. Approximately half of the carbon emissions to the atmosphere are sequestered by ocean and land sinks, leading to ocean acidification but also slowing the rate of global warming. However, there are significant uncertainties in the future global warming scenarios due to uncertainties in the size, nature, and stability of these sinks. Quantifying and monitoring the size and timing of natural sinks and the impact of climate change on ecosystems are important information to guide policy-makers’ decisions and strategies on reductions in emissions. Continuous, long-term observations are required to quantify GHG emissions, sinks, and their impacts on Earth systems. The Integrated Carbon Observation System (ICOS) was designed as the European in situ observation and information system to support science and society in their efforts to mitigate climate change. It provides standardized and open data currently from over 140 measurement stations across 12 European countries. The stations observe GHG concentrations in the atmosphere and carbon and GHG fluxes between the atmosphere, land surface, and the oceans. This article describes how ICOS fulfills its mission to harmonize these observations, ensure the related long-term financial commitments, provide easy access to well-documented and reproducible high-quality data and related protocols and tools for scientific studies, and deliver information and GHG-related products to stakeholders in society and policy.

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    Bulletin of the American Meteorological Society
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    Research Collection
    Article . 2022
    License: CC BY
    Data sources: Datacite
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    Research Collection
    Article . 2022
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    Wageningen Staff Publications
    Article . 2022
    License: CC BY
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ OceanReparrow_drop_down
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      Bulletin of the American Meteorological Society
      Article . 2022 . Peer-reviewed
      License: CC BY
      Data sources: Crossref
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Research Collection
      Article . 2022
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Article . 2022
      License: CC BY
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Wageningen Staff Publications
      Article . 2022
      License: CC BY
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: P. Laj; P. Laj; P. Laj; A. Bigi; +122 Authors

    Abstract. Aerosol particles are essential constituents of the Earth's atmosphere, impacting the earth radiation balance directly by scattering and absorbing solar radiation, and indirectly by acting as cloud condensation nuclei. In contrast to most greenhouse gases, aerosol particles have short atmospheric residence times, resulting in a highly heterogeneous distribution in space and time. There is a clear need to document this variability at regional scale through observations involving, in particular, the in situ near-surface segment of the atmospheric observation system. This paper will provide the widest effort so far to document variability of climate-relevant in situ aerosol properties (namely wavelength dependent particle light scattering and absorption coefficients, particle number concentration and particle number size distribution) from all sites connected to the Global Atmosphere Watch network. High-quality data from almost 90 stations worldwide have been collected and controlled for quality and are reported for a reference year in 2017, providing a very extended and robust view of the variability of these variables worldwide. The range of variability observed worldwide for light scattering and absorption coefficients, single-scattering albedo, and particle number concentration are presented together with preliminary information on their long-term trends and comparison with model simulation for the different stations. The scope of the present paper is also to provide the necessary suite of information, including data provision procedures, quality control and analysis, data policy, and usage of the ground-based aerosol measurement network. It delivers to users of the World Data Centre on Aerosol, the required confidence in data products in the form of a fully characterized value chain, including uncertainty estimation and requirements for contributing to the global climate monitoring system.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Hyper Article en Lig...arrow_drop_down
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Atmospheric Measurement Techniques (AMT)
    Article . 2020 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    Atmospheric Measurement Techniques (AMT)
    Article
    License: CC BY
    Data sources: UnpayWall
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Digital.CSIC
    Article . 2020
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Hyper Article en Lig...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Atmospheric Measurement Techniques (AMT)
      Article . 2020 . Peer-reviewed
      License: CC BY
      Data sources: Crossref
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Atmospheric Measurement Techniques (AMT)
      Article
      License: CC BY
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Digital.CSIC
      Article . 2020
      Data sources: Digital.CSIC
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: M. Collaud Coen; E. Andrews; E. Andrews; A. Alastuey; +50 Authors

    Abstract. In order to assess the evolution of aerosol parameters affecting climate change, a long-term trend analysis of aerosol optical properties was performed on time series from 52 stations situated across five continents. The time series of measured scattering, backscattering and absorption coefficients as well as the derived single scattering albedo, backscattering fraction, scattering and absorption Ångström exponents covered at least 10 years and up to 40 years for some stations. The non-parametric seasonal Mann–Kendall (MK) statistical test associated with several pre-whitening methods and with Sen's slope was used as the main trend analysis method. Comparisons with general least mean square associated with autoregressive bootstrap (GLS/ARB) and with standard least mean square analysis (LMS) enabled confirmation of the detected MK statistically significant trends and the assessment of advantages and limitations of each method. Currently, scattering and backscattering coefficient trends are mostly decreasing in Europe and North America and are not statistically significant in Asia, while polar stations exhibit a mix of increasing and decreasing trends. A few increasing trends are also found at some stations in North America and Australia. Absorption coefficient time series also exhibit primarily decreasing trends. For single scattering albedo, 52 % of the sites exhibit statistically significant positive trends, mostly in Asia, eastern/northern Europe and the Arctic, 22 % of sites exhibit statistically significant negative trends, mostly in central Europe and central North America, while the remaining 26 % of sites have trends which are not statistically significant. In addition to evaluating trends for the overall time series, the evolution of the trends in sequential 10-year segments was also analyzed. For scattering and backscattering, statistically significant increasing 10-year trends are primarily found for earlier periods (10-year trends ending in 2010–2015) for polar stations and Mauna Loa. For most of the stations, the present-day statistically significant decreasing 10-year trends of the single scattering albedo were preceded by not statistically significant and statistically significant increasing 10-year trends. The effect of air pollution abatement policies in continental North America is very obvious in the 10-year trends of the scattering coefficient – there is a shift to statistically significant negative trends in 2009–2012 for all stations in the eastern and central USA. This long-term trend analysis of aerosol radiative properties with a broad spatial coverage provides insight into potential aerosol effects on climate changes.

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  • Authors: Paolo Laj; Alessandro Bigi; Clémence Rose; Elisabeth Andrews; +96 Authors

    Résumé. Les particules d'aérosol sont des constituants essentiels de l'atmosphère terrestre, ayant un impact direct sur l'équilibre du rayonnement terrestre en diffusant et en absorbant le rayonnement solaire, et indirectement en agissant comme des noyaux de condensation des nuages. Contrairement à la plupart des gaz à effet de serre, les particules d'aérosol ont des temps de résidence atmosphériques courts, ce qui entraîne une distribution très hétérogène dans l'espace et le temps. Il est clairement nécessaire de documenter cette variabilité à l'échelle régionale à travers des observations impliquant, en particulier, le segment in situ près de la surface du système d'observation atmosphérique. Cet article fournira le plus grand effort jusqu'à présent pour documenter la variabilité des propriétés des aérosols in situ pertinentes pour le climat (à savoir les coefficients de diffusion et d'absorption de la lumière des particules dépendant de la longueur d'onde, la concentration en nombre de particules et la distribution granulométrique) de tous les sites connectés au réseau Global Atmosphere Watch. Des données de haute qualité provenant de près de 90 stations dans le monde ont été collectées et contrôlées pour la qualité et sont rapportées pour une année de référence en 2017, fournissant une vue très étendue et robuste de la variabilité de ces variables dans le monde. La gamme de variabilité observée dans le monde entier pour les coefficients de diffusion et d'absorption de la lumière, l'albédo à diffusion unique et la concentration en nombre de particules est présentée avec des informations préliminaires sur leurs tendances à long terme et une comparaison avec la simulation par modèle pour les différentes stations. La portée du présent document est également de fournir la suite nécessaire d'informations, y compris les procédures de fourniture de données, le contrôle et l'analyse de la qualité, la politique de données et l'utilisation du réseau de mesure des aérosols au sol. Il fournit aux utilisateurs du Centre mondial de données sur les aérosols la confiance requise dans les produits de données sous la forme d'une chaîne de valeur entièrement caractérisée, y compris l'estimation de l'incertitude et les exigences pour contribuer au système mondial de surveillance du climat. Resumen. Las partículas de aerosol son constituyentes esenciales de la atmósfera terrestre, impactando el equilibrio de la radiación terrestre directamente al dispersar y absorber la radiación solar, e indirectamente al actuar como núcleos de condensación de nubes. A diferencia de la mayoría de los gases de efecto invernadero, las partículas de aerosol tienen tiempos de residencia atmosférica cortos, lo que resulta en una distribución altamente heterogénea en el espacio y el tiempo. Existe una clara necesidad de documentar esta variabilidad a escala regional a través de estudios que involucren, en particular, el segmento cercano a la superficie in situ del sistema de observación atmosférica. Este documento proporcionará el mayor esfuerzo hasta el momento para documentar la variabilidad de las propiedades de los aerosoles in situ relevantes para el clima (es decir, la dispersión de la luz de partículas y los coeficientes de absorción dependientes de la longitud de onda, la concentración del número de partículas y la distribución del tamaño del número de partículas) de todos los sitios conectados a la red de Vigilancia de la Atmósfera Global. Se han recopilado y controlado datos de alta calidad de casi 90 estaciones en todo el mundo y se informan para un año de referencia en 2017, lo que proporciona una visión muy amplia y sólida de la variabilidad de estas variables en todo el mundo. El rango de variabilidad observado en todo el mundo para los coeficientes de dispersión y absorción de la luz, el albedo de dispersión única y la concentración del número de partículas se presentan junto con información preliminar sobre sus tendencias a largo plazo y la comparación con la simulación del modelo para las diferentes estaciones. El alcance del presente documento también es proporcionar el conjunto de información necesario, incluidos los procedimientos de suministro de datos, el control y análisis de calidad, la política de datos y el uso de la red de medición de aerosoles terrestre. Ofrece a los usuarios del Centro Mundial de Datos sobre Aerosoles la confianza requerida en los productos de datos en forma de una cadena de valor completamente caracterizada, incluida la estimación de la incertidumbre y los requisitos para contribuir al sistema de vigilancia del clima mundial. Abstract. Aerosol particles are essential constituents of the Earth's atmosphere, impacting the earth radiation balance directly by scattering and absorbing solar radiation, and indirectly by acting as cloud condensation nuclei. In contrast to most greenhouse gases, aerosol particles have short atmospheric residence times, resulting in a highly heterogeneous distribution in space and time. There is a clear need to document this variability at regional scale through observations involving, in particular, the in situ near-surface segment of the atmospheric observation system. This paper will provide the widest effort so far to document variability of climate-relevant in situ aerosol properties (namely wavelength dependent particle light scattering and absorption coefficients, particle number concentration and particle number size distribution) from all sites connected to the Global Atmosphere Watch network. High-quality data from almost 90 stations worldwide have been collected and controlled for quality and are reported for a reference year in 2017, providing a very extended and robust view of the variability of these variables worldwide. The range of variability observed worldwide for light scattering and absorption coefficients, single-scattering albedo, and particle number concentration are presented together with preliminary information on their long-term trends and comparison with model simulation for the different stations. The scope of the present paper is also to provide the necessary suite of information, including data provision procedures, quality control and analysis, data policy, and usage of the ground-based aerosol measurement network. It delivers to users of the World Data Centre on Aerosol, the required confidence in data products in the form of a fully characterized value chain, including uncertainty estimation and requirements for contributing to the global climate monitoring system. الخلاصة: جسيمات الهباء الجوي هي مكونات أساسية للغلاف الجوي للأرض، وتؤثر على توازن إشعاع الأرض بشكل مباشر عن طريق تشتت وامتصاص الإشعاع الشمسي، وبشكل غير مباشر عن طريق العمل كنوى تكثيف السحب. على النقيض من معظم غازات الدفيئة، فإن جزيئات الهباء الجوي لها أوقات بقاء قصيرة في الغلاف الجوي، مما يؤدي إلى توزيع غير متجانس للغاية في المكان والزمان. هناك حاجة واضحة لتوثيق هذا التباين على المستوى الإقليمي من خلال عمليات الرصد التي تشمل، على وجه الخصوص، الجزء القريب من السطح في الموقع من نظام مراقبة الغلاف الجوي. ستوفر هذه الورقة أوسع جهد حتى الآن لتوثيق تقلب خصائص الهباء الجوي الموضعي ذات الصلة بالمناخ (أي معاملات تشتت وامتصاص ضوء الجسيمات المعتمدة على الطول الموجي وتركيز رقم الجسيمات وتوزيع حجم رقم الجسيمات) من جميع المواقع المتصلة بشبكة مراقبة الغلاف الجوي العالمية. تم جمع بيانات عالية الجودة من حوالي 90 محطة في جميع أنحاء العالم والتحكم فيها من أجل الجودة ويتم الإبلاغ عنها لسنة مرجعية في عام 2017، مما يوفر رؤية موسعة وقوية للغاية لتباين هذه المتغيرات في جميع أنحاء العالم. يتم تقديم نطاق التباين الملحوظ في جميع أنحاء العالم لمعاملات تشتت الضوء وامتصاصه، والبياض أحادي التشتت، وتركيز عدد الجسيمات مع معلومات أولية عن اتجاهاتها طويلة الأجل ومقارنتها بمحاكاة النموذج للمحطات المختلفة. يتمثل نطاق هذه الورقة أيضًا في توفير مجموعة المعلومات اللازمة، بما في ذلك إجراءات توفير البيانات، ومراقبة الجودة وتحليلها، وسياسة البيانات، واستخدام شبكة قياس الهباء الجوي الأرضية. وهي توفر لمستخدمي مركز البيانات العالمي المعني بالهباء الجوي الثقة المطلوبة في منتجات البيانات في شكل سلسلة قيمة مميزة بالكامل، بما في ذلك تقدير عدم اليقين ومتطلبات المساهمة في نظام مراقبة المناخ العالمي.

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    Authors: Heiskanen, Jouni; Brümmer, Christian; Buchmann, Nina; Calfapietra, Carlo; +35 Authors

    Abstract Since 1750, land-use change and fossil fuel combustion has led to a 46% increase in the atmospheric carbon dioxide (CO2) concentrations, causing global warming with substantial societal consequences. The Paris Agreement aims to limit global temperature increases to well below 2°C above preindustrial levels. Increasing levels of CO2 and other greenhouse gases (GHGs), such as methane (CH4) and nitrous oxide (N2O), in the atmosphere are the primary cause of climate change. Approximately half of the carbon emissions to the atmosphere are sequestered by ocean and land sinks, leading to ocean acidification but also slowing the rate of global warming. However, there are significant uncertainties in the future global warming scenarios due to uncertainties in the size, nature, and stability of these sinks. Quantifying and monitoring the size and timing of natural sinks and the impact of climate change on ecosystems are important information to guide policy-makers’ decisions and strategies on reductions in emissions. Continuous, long-term observations are required to quantify GHG emissions, sinks, and their impacts on Earth systems. The Integrated Carbon Observation System (ICOS) was designed as the European in situ observation and information system to support science and society in their efforts to mitigate climate change. It provides standardized and open data currently from over 140 measurement stations across 12 European countries. The stations observe GHG concentrations in the atmosphere and carbon and GHG fluxes between the atmosphere, land surface, and the oceans. This article describes how ICOS fulfills its mission to harmonize these observations, ensure the related long-term financial commitments, provide easy access to well-documented and reproducible high-quality data and related protocols and tools for scientific studies, and deliver information and GHG-related products to stakeholders in society and policy.

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    Research Collection
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    Wageningen Staff Publications
    Article . 2022
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      Bulletin of the American Meteorological Society
      Article . 2022 . Peer-reviewed
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      Wageningen Staff Publications
      Article . 2022
      License: CC BY
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    Authors: P. Laj; P. Laj; P. Laj; A. Bigi; +122 Authors

    Abstract. Aerosol particles are essential constituents of the Earth's atmosphere, impacting the earth radiation balance directly by scattering and absorbing solar radiation, and indirectly by acting as cloud condensation nuclei. In contrast to most greenhouse gases, aerosol particles have short atmospheric residence times, resulting in a highly heterogeneous distribution in space and time. There is a clear need to document this variability at regional scale through observations involving, in particular, the in situ near-surface segment of the atmospheric observation system. This paper will provide the widest effort so far to document variability of climate-relevant in situ aerosol properties (namely wavelength dependent particle light scattering and absorption coefficients, particle number concentration and particle number size distribution) from all sites connected to the Global Atmosphere Watch network. High-quality data from almost 90 stations worldwide have been collected and controlled for quality and are reported for a reference year in 2017, providing a very extended and robust view of the variability of these variables worldwide. The range of variability observed worldwide for light scattering and absorption coefficients, single-scattering albedo, and particle number concentration are presented together with preliminary information on their long-term trends and comparison with model simulation for the different stations. The scope of the present paper is also to provide the necessary suite of information, including data provision procedures, quality control and analysis, data policy, and usage of the ground-based aerosol measurement network. It delivers to users of the World Data Centre on Aerosol, the required confidence in data products in the form of a fully characterized value chain, including uncertainty estimation and requirements for contributing to the global climate monitoring system.

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    Atmospheric Measurement Techniques (AMT)
    Article . 2020 . Peer-reviewed
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    Atmospheric Measurement Techniques (AMT)
    Article
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    Digital.CSIC
    Article . 2020
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      Atmospheric Measurement Techniques (AMT)
      Article . 2020 . Peer-reviewed
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      Atmospheric Measurement Techniques (AMT)
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      Digital.CSIC
      Article . 2020
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