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Some studies apply a single height storage correction; however, this requires the assumption that the response of the CO2 concentration profile to forcing is constant with height. Here a full seasonal cycle (7th June 2012 to 3rd June 2013) of single height CO2 storage data calculated from concentrations measured at 10 Hz by open path gas analyser are compared to a data set calculated from a concurrent switched vertical profile measured (2 Hz, closed path gas analyser) at 10 heights within and above a street canyon in central London. The assumption required for the former storage determination is shown to be invalid. For approximately regular street canyons at least one other measurement is required. Continuous measurements at fewer locations are shown to be preferable to a spatially dense, switched profile, as temporal interpolation is ineffective. The majority of the spectral energy of the CO2 storage time series was found to be between 0.001 and 0.2 Hz (500 and 5 s respectively); however, sampling frequencies of 2 Hz and below still result in significantly lower CO2 storage values. An empirical method of correcting CO2 storage values from under-sampled time series is proposed.", "keywords": ["Atmospheric Science", "550", "Carbon dioxide", "Environmental Science(all)", "13. Climate action", "11. 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Other's research activities.\" Although every care has been taken in preparing and testing the data, the Other and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Other and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Other and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-08-02", "type": "Service", "created": "2023-07-26", "language": "eng", "title": "Web Map Service of the dataset 'Chlorophyll-Data of eutrophied urban ponds in L\u00fcbeck (Germany, Schleswig-Holstein)'", "description": "This WMS  Map Service includes spatial information used by datasets 'AGIS Map Service of the dataset 'Chlorophyll-Data of eutrophied urban ponds in L\u00fcbeck (Germany, Schleswig-Holstein)''", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "Soil", "chlorophylls", "chlorophyll fluorescence", "surface water", "urban environment", "eutrophication", "Algae", "Cyanobacteria"], "contacts": [{"name": "Christian Lohaus", "organization": "Technische Hochschule L\u00fcbeck", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "christian.lohaus@th-luebeck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0002-6950-3952", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Norbert Reintjes", "organization": "Technische Hochschule L\u00fcbeck", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "norbert.reintjes@th-luebeck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - 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The Urban Heat Island intensity exacerbates high temperatures in cities and thus may pose additional risks to human thermal comfort and health.\nThe UHI intensity is represented by spatial P90 (90th percentile) urban heat island intensity of a given city (\"P90\" field in the dataset). This indicator is calculated by subtracting the rural (non-water) spatial P10 (10th percentile) temperature value from the average, height-corrected (to exclude terrain effects), air temperature map. This indicator represents the specific exposure of single cities and due to the height correction will be comparable across Europe.\nThe dataset has been created by VITO within the Copernicus Health contract for C3S and is based on UrbClim model (De Ridder et al. 2015). The 100 European cities for the urban simulations were selected based on user requirements within the health community.", "formats": [{"name": "SHP"}, {"name": "EEA:FOLDERPATH"}, {"name": "WWW:LINK-1.0-http--link"}, {"name": "WWW:URL"}, {"name": "OGC:WMS"}, {"name": "ESRI:REST"}], "keywords": ["Atmospheric conditions", "Meteorological geographical features", "climate", "climate change impact", "urban environment", " urban stress", "climate change adaptation", "urban area", "Norway", "Finland", "Germany", "Lithuania", "Spain", "Austria", "Croatia", "Belgium", "Ireland", "Romania", "Albania", "Switzerland", "France", "Italy", "Montenegro", "Poland", "Denmark", "Serbia", "United Kingdom", "Portugal", "Luxembourg", "Netherlands", "Slovenia", "North Macedonia", "Sweden", "Bosnia and Herzegovina", "Slovakia", "Hungary", "Czechia", "Iceland", "Latvia", "Bulgaria", "Greece", "Estonia", "European", "Climate adaptation"], "contacts": [{"name": null, "organization": "European Environment Agency", 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"Bosnia and Herzegovina", "Latvia", "Greece", "Estonia", "EU28 (2013-2020)", "Malta", "Cyprus", "EEA38 (from 2020)", "2021 6.4.3", "Climate adaptation", "Environmental health impacts", "Land use", "Buildings and construction", "Urban sustainability", "Extreme weather", "Environmental inequalities", "Climate change adaptation", "Water", "Climate mitigation", "climate", "climate change impact", "risk", "climate change adaptation", "flooding", "disaster", "city", "school", "educational institution", "education", "disasters", " accidents", " risk", "major risk", "flood hazard", "natural risk", "flood", "health care", "hospital", "human health", "heat wave", "meteorology", "forest fire", "fire", "urban population", "population distribution", "riparian zone", "climate change", "unemployment", "urban environment", " urban stress", "urban area", "land use", "sea level rise", "coastal flooding", "land cover", "green space", "soil", "Natural risk zones", "Statistical units", "Human health and safety", "Population distribution \u2014 demography", "Atmospheric conditions", "Meteorological geographical features", "Land cover", "European"], "contacts": [{"name": null, "organization": "European Environment Agency", "position": null, "roles": ["custodian"], "phones": [{"value": null}], "emails": [{"value": "sdi@eea.europa.eu"}], "addresses": [{"deliveryPoint": ["Kongens Nytorv 6"], "city": "Copenhagen", "administrativeArea": "K", "postalCode": "1050", "country": "Denmark"}], "links": [{"href": null}]}], "denominator": "100000"}, "links": [{"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/38a57932-c278-45fe-bf68-3b658e3c75b4.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "3cba3946-2f1c-48eb-9ede-dfc476f0f17f", "name": "item", "description": "3cba3946-2f1c-48eb-9ede-dfc476f0f17f", "href": 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