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Two years of CO2 CO and CH4 from The Cyprus Institute at Nicosia, Cyprus

Authors: Quéhé, Pierre-Yves; Ramonet, Michel; Paris, Jean-Daniel; Hazan, Lynn; Pikridas, Michael; Sciare, Jean;

Two years of CO2 CO and CH4 from The Cyprus Institute at Nicosia, Cyprus

Abstract

Two years of carbon dioxide (CO2), carbon monoxide (CO) and methane (CH4) concentration measurements, were performed for the first time in the city of Nicosia, Cyprus from 11/02/2020 to 07/09/2022. The dataset is generated from three Picarro G2401s. Property of LSCE (187) and CYI (1172 &1173). They were consecutively installed at the Cyprus Institute, on top of the NTL building, in Nicosia residential area. The dataset was processed by LSCE at Gif-sur-Yvette in France and calibrated against a World Meteorological Organization (WMO) reference scale. The Eastern Mediterranean and Middle East (EMME) region, with its population of more than 400 million, is identified as one of the primary climate “hot spots” worldwide, experiencing adverse impacts ranging from extreme weather events to poor air quality. Projections show that these phenomena are expected to further exacerbate in the coming decades. At central position, lies Cyprus, an island country that receives long-range transported pollution from various anthropogenic and natural sources.

Keywords

CH4, CO2, GHG, The Cyprus Institute

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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