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Weiterentwicklung der Anforderungen an die Formaldehyd- und VOC-Emissionen beim Blauen Engel für Holzwerkstoffe und andere innenraumrelevante Produkte

Der Blaue Engel ist ein zentrales Instrument für die Auswahl von emissionsarmen und umweltfreundlichen Produkten. Vor dem Hintergrund geänderter Prüfbedingungen gemäß Chemikalien-Verbotsverordnung stellte sich die Frage, ob Bodenbeläge, die bereits mit dem Blauen Engel ausgezeichnet sind, die Anforderungen unter den neuen Prüfbedingungen erfüllen und ob die für Formaldehyd genannten Prüfbedingungen auch für die Bewertung der weiteren Emissionen flüchtiger organischer Verbindungen zugrunde gelegt werden können. Hierzu wurden unterschiedliche Bodenbeläge gemäß DIN EN 16516 in den Prüfszenarien nach ChemVerbotsV und AgBB-Schema sowie einige gemäß EN 717-1 vergleichend untersucht. Der Bericht enthält darauf aufbauend Vorschläge für die Weiterentwicklung der Vergabekriterien des Blauen Engel in Bezug auf Formaldehyd und VOC. Veröffentlicht in Texte | 43/2026.

Bei Spanplatten und Holzwerkstoffen auf Label achten

<p> Was Sie beim Kauf von Spanplatten beachten sollten <ul> <li>Kaufen Sie Spanplatten aus nachhaltiger Waldwirtschaft (Blauer Engel, natureplus, FSC, PEFC, Naturland e.V., Holz von Hier).</li> <li>Kaufen Sie Spanplatten mit möglichst geringen Ausgasungen (Blauer Engel, natureplus). </li> <li>Kaufen Sie Spanplatten, die aus einheimischen Holzarten hergestellt wurden.</li> </ul> Gewusst wie <p>Spanplatten sind im Prinzip eine gute Form der "Resteverwertung" von kleinen Holzteilchen und Altholz. Allerdings führen die verwendeten Bindemittel dazu, dass flüchtige organische Verbindungen - zusätzlich zu denen, die im Holz vorkommen - sowie Restmengen von Lösemitteln ausgasen und die Umwelt und Gesundheit belasten können.<br>Heimische Hölzer wie Eiche, Lärche oder die in Mitteleuropa etablierte Robinie sind Tropenhölzern vorzuziehen und sind eine besonders gute Alternative, da die Transportwege kürzer bleiben. Dies trägt zur Reduktion des ökologischen Fußabdrucks bei und unterstützt die regionale Wertschöpfung.</p> <p><strong>Gelabelte Produkte kaufen:&nbsp;</strong>Die Siegel&nbsp;<a href="https://www.fsc-deutschland.de/">FSC</a> (Forest Stewardship Council), <a href="https://www.pefc.de/">PEFC</a>&nbsp;(Programme for the Endorsement of Forest Certification Schemes), <a href="https://www.naturland.de/de/">Naturland e.V.</a> und <a href="https://www.holz-von-hier.eu/">Holz von Hier</a> garantieren, dass für die Erzeugung von Spanplatten Holz aus nachhaltiger Waldbewirtschaftung genutzt wurde. Darüber hinaus garantieren der Blaue Engel sowie das Label natureplus, dass die Spanplatten frei von halogenorganischen Verbindungen sind und die Ausgasung flüchtiger organischer Verbindungen deutlich begrenzt werden.</p> <p><strong>Was Sie noch tun können: </strong>Bevorzugen Sie Spanplatten aus heimischem Holz.</p> <a href="https://www.umweltbundesamt.de/system/files/medien/5324/bilder/blauer_engel-logo_1545x775px_0.png"> </a> <strong> Blauer Engel für Möbel, Bodenbeläge, Türen und Holzwerkstoffplatten </strong> Quelle: Blauer Engel Hintergrund <p><strong>Umweltsituation:</strong>&nbsp;Eine nachhaltige Waldnutzung und die Nutzung von regionalem Holz hilft wertvolle Biotope zu erhalten, vermeidet Transporte und schont Urwälder. Gerade bei Tropenholz wird oft Raubbau betrieben.</p> <p>Bei der Herstellung von Spanplatten kommen Bindemittel (Leime) zum Einsatz, die teilweise umwelt- und gesundheitsbelastend sind. So kann es zu Ausdünstungen von Formaldehyd und weiteren organischen Verbindungen kommen.</p> <p>Spanplatten und andere Holzwerkstoffe werden vielfach in der Möbelindustrie verarbeitet, spielen aber auch eine große Rolle beim Haus- und beim Innenausbau (Wände, Türen, Verkleidungen, Fußböden). Sie stellen dadurch eine wesentliche Emissionsquelle im Innenraum dar. Neben der Verleimung kann auch die Oberflächenbehandlung Emissionen verursachen. Bei einem großflächigen Einsatz von Holzwerkstoffen in einem Raum ist darauf zu achten, dass die Formaldehyd-Emissionen einen Wert von&nbsp;100 µg/m³&nbsp;nicht überschreiten, möglichst aber deutlich darunterbleiben. Dieser Wert entspricht dem Richtwert des Ausschusses für Innenraumrichtwerte (AIR) und der Empfehlung der Weltgesundheitsorganisation (⁠<a href="https://www.umweltbundesamt.de/service/glossar/who">WHO</a>⁠). Bei dessen Einhaltung ist zumindest nicht mit krebserzeugenden Effekten zu rechnen.</p> <p><strong>Gesetzeslage:</strong>&nbsp;Zum Schutz der Gesundheit dürfen Holzwerkstoffe und daraus hergestellte Möbel nicht in den Verkehr gebracht werden, die unter festgelegten Bedingungen in einer Prüfkammer Formaldehyd in einer Konzentration von mehr als 0,05 ⁠<a href="https://www.umweltbundesamt.de/service/glossar/ppm-0">ppm</a>⁠ (entspricht 62 µg&nbsp;pro Kubikmeter Raumluft) abgeben. Ab dem Sommer 2026 ist die neue europäische Formaldehyd-Verordnung, ergänzt durch Guidelines zur korrekten Anwendung, hier maßgeblich:</p> <ul> <li><a href="https://eur-lex.europa.eu/legal-content/DE/TXT/PDF/?uri=CELEX:32023R1464">Formaldehyd-Verordnung</a></li> <li><a href="https://echa.europa.eu/documents/10162/17233/rest_formaldehyde_guideline_en.pdf/35000cf2-5c37-e96e-52f7-367b41172915?t=1747203191545">Guidelines</a><br>&nbsp;</li> </ul> <p><strong>Weitere Informationen:</strong></p> <ul> <li><a href="https://www.umweltbundesamt.de/node/11161">Emissionsverhalten von Holz und Holzwerkstoffen</a> (<a href="https://www.umweltbundesamt.de/service/glossar/uba">UBA</a>-Studie)</li> <li><a href="https://www.umweltbundesamt.de/node/10989">Bestimmung von VOC-Emissionen aus Grobspanplatten</a> (UBA-Hintergrundpapier)</li> <li><a href="https://www.umweltbundesamt.de/node/76750">FAQ zu Formaldehyd</a></li> <li><a href="https://www.umweltbundesamt.de/node/39870">Aktuelles zu Prüfbedingungen für Holzwerkstoffe</a></li> </ul> </p><p> Was Sie beim Kauf von Spanplatten beachten sollten <ul> <li>Kaufen Sie Spanplatten aus nachhaltiger Waldwirtschaft (Blauer Engel, natureplus, FSC, PEFC, Naturland e.V., Holz von Hier).</li> <li>Kaufen Sie Spanplatten mit möglichst geringen Ausgasungen (Blauer Engel, natureplus). </li> <li>Kaufen Sie Spanplatten, die aus einheimischen Holzarten hergestellt wurden.</li> </ul> </p><p> Gewusst wie <p>Spanplatten sind im Prinzip eine gute Form der "Resteverwertung" von kleinen Holzteilchen und Altholz. Allerdings führen die verwendeten Bindemittel dazu, dass flüchtige organische Verbindungen - zusätzlich zu denen, die im Holz vorkommen - sowie Restmengen von Lösemitteln ausgasen und die Umwelt und Gesundheit belasten können.<br>Heimische Hölzer wie Eiche, Lärche oder die in Mitteleuropa etablierte Robinie sind Tropenhölzern vorzuziehen und sind eine besonders gute Alternative, da die Transportwege kürzer bleiben. Dies trägt zur Reduktion des ökologischen Fußabdrucks bei und unterstützt die regionale Wertschöpfung.</p> <p><strong>Gelabelte Produkte kaufen:&nbsp;</strong>Die Siegel&nbsp;<a href="https://www.fsc-deutschland.de/">FSC</a> (Forest Stewardship Council), <a href="https://www.pefc.de/">PEFC</a>&nbsp;(Programme for the Endorsement of Forest Certification Schemes), <a href="https://www.naturland.de/de/">Naturland e.V.</a> und <a href="https://www.holz-von-hier.eu/">Holz von Hier</a> garantieren, dass für die Erzeugung von Spanplatten Holz aus nachhaltiger Waldbewirtschaftung genutzt wurde. Darüber hinaus garantieren der Blaue Engel sowie das Label natureplus, dass die Spanplatten frei von halogenorganischen Verbindungen sind und die Ausgasung flüchtiger organischer Verbindungen deutlich begrenzt werden.</p> <p><strong>Was Sie noch tun können: </strong>Bevorzugen Sie Spanplatten aus heimischem Holz.</p> <a href="https://www.umweltbundesamt.de/system/files/medien/5324/bilder/blauer_engel-logo_1545x775px_0.png"> </a> <strong> Blauer Engel für Möbel, Bodenbeläge, Türen und Holzwerkstoffplatten </strong> Quelle: Blauer Engel </p><p> Hintergrund <p><strong>Umweltsituation:</strong>&nbsp;Eine nachhaltige Waldnutzung und die Nutzung von regionalem Holz hilft wertvolle Biotope zu erhalten, vermeidet Transporte und schont Urwälder. Gerade bei Tropenholz wird oft Raubbau betrieben.</p> <p>Bei der Herstellung von Spanplatten kommen Bindemittel (Leime) zum Einsatz, die teilweise umwelt- und gesundheitsbelastend sind. So kann es zu Ausdünstungen von Formaldehyd und weiteren organischen Verbindungen kommen.</p> <p>Spanplatten und andere Holzwerkstoffe werden vielfach in der Möbelindustrie verarbeitet, spielen aber auch eine große Rolle beim Haus- und beim Innenausbau (Wände, Türen, Verkleidungen, Fußböden). Sie stellen dadurch eine wesentliche Emissionsquelle im Innenraum dar. Neben der Verleimung kann auch die Oberflächenbehandlung Emissionen verursachen. Bei einem großflächigen Einsatz von Holzwerkstoffen in einem Raum ist darauf zu achten, dass die Formaldehyd-Emissionen einen Wert von&nbsp;100 µg/m³&nbsp;nicht überschreiten, möglichst aber deutlich darunterbleiben. Dieser Wert entspricht dem Richtwert des Ausschusses für Innenraumrichtwerte (AIR) und der Empfehlung der Weltgesundheitsorganisation (⁠<a href="https://www.umweltbundesamt.de/service/glossar/who">WHO</a>⁠). Bei dessen Einhaltung ist zumindest nicht mit krebserzeugenden Effekten zu rechnen.</p> <p><strong>Gesetzeslage:</strong>&nbsp;Zum Schutz der Gesundheit dürfen Holzwerkstoffe und daraus hergestellte Möbel nicht in den Verkehr gebracht werden, die unter festgelegten Bedingungen in einer Prüfkammer Formaldehyd in einer Konzentration von mehr als 0,05 ⁠<a href="https://www.umweltbundesamt.de/service/glossar/ppm-0">ppm</a>⁠ (entspricht 62 µg&nbsp;pro Kubikmeter Raumluft) abgeben. Ab dem Sommer 2026 ist die neue europäische Formaldehyd-Verordnung, ergänzt durch Guidelines zur korrekten Anwendung, hier maßgeblich:</p> <ul> <li><a href="https://eur-lex.europa.eu/legal-content/DE/TXT/PDF/?uri=CELEX:32023R1464">Formaldehyd-Verordnung</a></li> <li><a href="https://echa.europa.eu/documents/10162/17233/rest_formaldehyde_guideline_en.pdf/35000cf2-5c37-e96e-52f7-367b41172915?t=1747203191545">Guidelines</a><br>&nbsp;</li> </ul> <p><strong>Weitere Informationen:</strong></p> <ul> <li><a href="https://www.umweltbundesamt.de/node/11161">Emissionsverhalten von Holz und Holzwerkstoffen</a> (<a href="https://www.umweltbundesamt.de/service/glossar/uba">UBA</a>-Studie)</li> <li><a href="https://www.umweltbundesamt.de/node/10989">Bestimmung von VOC-Emissionen aus Grobspanplatten</a> (UBA-Hintergrundpapier)</li> <li><a href="https://www.umweltbundesamt.de/node/76750">FAQ zu Formaldehyd</a></li> <li><a href="https://www.umweltbundesamt.de/node/39870">Aktuelles zu Prüfbedingungen für Holzwerkstoffe</a></li> </ul> </p><p>Informationen für...</p>

Sentinel-5P TROPOMI – Ozone (O3), Level 3 – Global

Ozone vertical column density in Dobson Units as derived from Sentinel-5P/TROPOMI observations. The stratospheric ozone layer protects the biosphere from harmful solar ultraviolet radiation. Ozone in troposphere can pose risks to the health of humans, animals, and vegetation. The TROPOMI instrument aboard the SENTINEL-5P space craft is a nadir-viewing, imaging spectrometer covering wavelength bands between the ultraviolet and the shortwave infra-red. TROPOMI's purpose is to measure atmospheric properties and constituents. It is contributing to monitoring air quality and providing critical information to services and decision makers. The instrument uses passive remote sensing techniques by measuring the Top Of Atmosphere (TOA) solar radiation reflected by and radiated from the earth and its atmosphere. The four spectrometers of TROPOMI cover the ultraviolet (UV), visible (VIS), Near Infra-Red (NIR) and Short Wavelength Infra-Red (SWIR) domains of the electromagnetic spectrum, allowing operational retrieval of the following trace gas constituents: Ozone (O3), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Formaldehyde (HCHO), Carbon Monoxide (CO) and Methane (CH4). Daily observations are binned onto a regular latitude-longitude grid. Within the INPULS project, innovative algorithms and processors for the generation of Level 3 and Level 4 products, improved data discovery and access technologies as well as server-side analytics for the users are developed.

Monitoring of sandy beach meiofauna before and after sand nourishment (Ahrenshoop, Baltic Sea): metabarcoding data (number of reads per operational taxonomic unit)

We provide metabarcoding data (number of reads per operational taxonomic unit, OTU) determined from sediment samples collected on the sandy-beach water line of Ahrenshoop (Baltic Sea). Five sampling stations lay within the zone impacted by the sand nourishment between the boundary of the nature reserve in the north east and a site just north of the breakwater (AH01-AH05). An unaffected reference station was located south of Ahrenshoop (close to Niehagen) at the end of the road Pappelallee (PAP). Samples were collected at four dates. The first sampling was carried out before the sand nourishment took place (T0: 14 and 16 September 2021). Three samplings were realised after the impact: T1 (23 March 2022), T2 (27 September 2022), and T3 (28 March 2023). Latitude and longitude of each sampling location per station were recorded at each sampling date using a hand-held GPS application on a mobile phone. At the stations sampling locations varied over time. Prior to the sand nourishment the beach was narrow due to sand erosion in previous years. After the nourishment the additional extent of the beach was approximately 40 m at sampling date T1. Subsequently, progressive sand erosion forced the sampling locations (situated at the water line) further inland at T2 and T3. Samples were taken from the beach-water interface (water line) in the middle of the area between two groynes. Plexiglass cores (inner core diameter 5.4 cm) were inserted vertically into the sediment down to 15 cm depth. Each core was sliced in 5 cm-layers (0-5, 5-10 and 10-15 cm). Sediment horizons were preserved in 96-99% ethanol. Three cores (2 cores at T0) per sampling date were taken for metabarcoding analyses. The organisms were extracted by decantation over a 32-μm sieve. Genomic DNA was extracted from the filters using the DNeasy PowerSoil pro kit (Qiagen). Realtime-PCR was performed to amplify V1&V2, two hypervariable regions of 18S rDNA gene. The sequencing run was performed using the MiSeq Reagent Nanokit v2 (250 cycles paired end) on an Illumina MiSeq platform at the DZMB Metabarcoding lab in Wilhelmshaven, Germany. High-resolution amplicon sequence variants (ASVs) were obtained and compared to the NCBI database to assign taxonomic information to each ASV. The target meiofauna ASVs were further classified into operational taxonomic units (OTUs) with a 3% cut-off threshold using the statistical software R. Here, we present two Tables: (1) the taxonomic description of the 843 OTUs and their assigned ID number; (2) the number of reads per OTU per sample. The metabarcoding data are part of a larger ecological study on the influence of sand nourishment on meiofauna communities, which included grain-size and meiofauna abundances (see Related to and Supplement to).

Water and sediment analysis from column experiments

This data set contains data from water analyses from column experiments. The water analyses included cations (sodium, potassium, calcium, magnesium, iron and manganese), anions (nitrate, chloride, sulphate, bromide and phosphate) and selected trace elements (arsenic, cobalt, nickel, vanadium and zinc). The column experiments were conducted with two different types of unconsolidated sandy sediments from aquifers in Denmark (Quaternary) and Germany (Cretaceous). In both sediments, the nitrate degradation capacity was almost exhausted. To induce denitrification, 5 mmol ethanol was added to the column experiments. This also caused a decrease in the concentration of trace elements in the water. A sequential extraction procedure was performed to determine the trace element sinks. The data set therefore also contains contents of selected elements (equal to water analyses) from the sequential extraction procedure of the sediment before and after the column tests. The results observed in the laboratory were additionally modeled with Phreeqc. The Phreeqc input data complete the data set.

Reproductive parameters and oocyte fatty acid compositions in European sprat Sprattus sprattus sampled in the Baltic Sea

Fecundity of marine fish species is highly variable, but trade-offs between fecundity and egg quality have rarely been observed at the individual level. We investigated spatial differences in reproductive investment of individual European sprat Sprattus sprattus (Linnaeus 1758) females by determining batch fecundity, condition indices (somatic condition index and gonadosomatic index) as well as oocyte dry weight, protein content, lipid content, spawning batch energy content, and fatty acid composition. Sampling was conducted in five different spawning areas within the Baltic Sea between March and May 2012. Sampling was conducted in the Baltic Sea during three cruises of the German RV “Alkor” in March (https://www2.bsh.de/aktdat/dod/fahrtergebnis/2012/20120331.htm), April (http://dx.doi.org/10.3289/CR_AL390), and May (http://dx.doi.org/10.3289/CR_AL392) 2012. Five different areas were sampled: KB, AB, Bornholm Basin (BB), Gdansk Deep (GD), and Gotland Basin (GB). Fish were caught with a pelagic trawl. Trawling time was in general 30 minutes per haul. The total lengths (TL, ±0.1 cm) of at least 200 sprat per haul were measured for length frequency analysis. Only female sprat with ovaries containing fully hydrated oocytes were sampled, running ripe females were rejected to avoid possible loss of oocytes, as this would lead to an underestimation of batch fecundity. Sprat were sampled immediately after the haul was on deck and stored on crushed ice. The sampled fish were weighed (wet mass WM, ±0.1 g) and measured (TL, ±0.1 cm), and their ovaries were dissected carefully. Oocytes were extracted from a single ovary lobe, rinsed with deionized water, and counted under a stereo microscope (Leica MZ 8). A counted number of oocytes (around 50 oocytes per fish) were transferred to pre-weighed tin-caps (8 x 8 x 15 mm). These samples were used to determine the oocyte dry weight, lipid content, and fatty acid composition. In addition, a counted number of oocytes (around 10 oocytes per fish) were sampled in Eppendorf caps for determination of protein content. Oocyte samples were stored at -80 °C for subsequent fatty acid and protein analysis in the laboratory. Finally, both ovary lobes were stored in 4% buffered formaldehyde solution for further fecundity analysis. Ovary free body mass (OFBM, ±0.1 g) of sampled frozen fish and fixed ovary mass (OM, ±0.1 g) were measured (Sartorius, 0.01 g) in the laboratory on land, to avoid imprecise measurements due to the ship's motion at sea. Absolute batch fecundity (ABF) was determined gravimetrically using the hydrated oocyte method suggested by Hunter et al. (1985) for indeterminate batch spawners. For ascertainment of the relative batch fecundity per unit body weight (RBF), ABF was divided by OFBM. Further, a condition index (CI) was determined: CI = (OFBM/〖TL〗^3 )× 100. A gonadosomatic index (GSI) was calculated with the following formula: GSI = (OM/OFBM)× 100. Oocyte dry weight was determined to the nearest 0.1 µg (Sartorius SC 2 micro-scale), using the samples stored in pre-weighed tin caps, after freeze-drying (Christ Alpha 1-4) for at least 24 hours. After subtracting the weight of the empty tin cap, the average oocyte dry mass (ODM) was then calculated by dividing the total weight by the number of oocytes contained in the tin cap. The fatty acid signature of oocytes was determined by gas chromatography (GC). Lipid extraction of the dried oocytes was performed using a 1:1:1 solvent mix of dichloromethane:methanol:chloroform. A five component fatty acid methyl ester Mix (13:0 - 21:0, Restek, Bad Homburg, Germany; c = 8.5 ng component µl-1) was added as an internal standard and a 23:0 fatty acid standard (Restek, Bad Homburg, Germany, c = 25.1 ng µl-1) was added as an esterification efficiency control. Esterification was performed over night at 50 °C in 200 µl 1% H2SO4 and 100 µl toluene. The solvent phase was transferred to 100 µl n-hexane and a 1 µl aliquot measured in a Thermo Fisher Trace GC Ultra with a Thermo Fisher TRACETM TR-FAME column (10 m*0.1 mm*0.2 µm). For more details on sample preparation and GC settings, see Hauss et al. (2012). The total lipid content per oocyte was determined by adding up the weights of all detected fatty acids. To ensure comparability with past studies, results for FA are given as a percentage of the combined weights of all detected FA. An average of 10 oocytes were transferred to 5*9 mm tin cups (Hekatech) and dried at 50 °C for >24 h. Total organic carbon (C) and nitrogen (N) content was measured using a Thermo Fisher Scientific Elemental Analyzer Flash 2000. From the total amount of N in the sample, the oocyte protein content was calculated according to Kjeldahl (Bradstreet, 1954), using a factor of 6.25. The oocyte gross energy content was calculated on the basis of measured protein and lipid content, which were multiplied with corresponding energy values from literature. The measured amount of proteins per given oocyte (P, mg) was multiplied by a factor of 23.66 J mg-1 and was added to the total amount of lipids per oocyte (L, mg) multiplied by 39.57 J mg-1 (Henken et al. 1986). Consequently, the oocyte energy content of each individual female sprat was multiplied by its relative batch fecundity in order to obtain a standardized estimate of the total amount of energy invested into a single spawning batch (SBEC, J g-1 OFBM): SBEC = [(P × 23.66 (J )/mg)+(L × 39.57 (J )/mg)]× RBF

Morphologically identified benthic stomach contents from Solenette (Buglossidium luteum) in the German Bight

This dataset contains morphological stomach content data of the demersal flatfish Buglossidium luteum (solenette) collected at multiple sampling stations in the German Bight. At each station, B. luteum individuals were sampled during daytime using an epibenthic dredge (1 m width, 1 cm mesh size) towed for 5 minutes. Immediately after capture, fish were individually sealed in storage bags and frozen at −80 °C to preserve gut contents. In the laboratory, specimens were transferred to freezers and stored at −28 °C until further processing. Selected fish were defrosted and stomachs were removed and weighed. All prey items were sorted and identified to the lowest possible taxonomic level using a stereomicroscope (Leica MZ12), based on regional identification keys, taxonomic catalogues, expert consultation, and comparisons with fresh reference material. Occasionally, digestion and mastication of individuals resulted in the loss of diagnostic features. In those cases, individuals were determined at a higher taxonomic level. All taxa were quantified in terms of abundance and biomass (wet mass; measured to 0.0001g) within the stomachs, and stored in 70% ethanol. Following analysis, prey items were preserved in 70% ethanol. The stomach content dataset was curated by excluding foraminifera, nematodes, and parasites.

Sentinel-5P TROPOMI Surface Nitrogendioxide (NO2), Level 4 – Regional (Germany and neighboring countries)

The TROPOMI instrument onboard the Copernicus SENTINEL-5 Precursor satellite is a nadir-viewing, imaging spectrometer that provides global measurements of atmospheric properties and constituents on a daily basis. It is contributing to monitoring air quality and climate, providing critical information to services and decision makers. The instrument uses passive remote sensing techniques by measuring the top of atmosphere solar radiation reflected by and radiated from the earth and its atmosphere. The four spectrometers of TROPOMI cover the ultraviolet (UV), visible (VIS), Near Infra-Red (NIR) and Short Wavelength Infra-Red (SWIR) domains of the electromagnetic spectrum. The operational trace gas products generated at DLR on behave ESA are: Ozone (O3), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Formaldehyde (HCHO), Carbon Monoxide (CO) and Methane (CH4), together with clouds and aerosol properties. This product displays the Nitrogen Dioxide (NO2) near surface concentration for Germany and neighboring countries as derived from the POLYPHEMUS/DLR air quality model. Surface NO2 is mainly generated by anthropogenic sources, e.g. transport and industry. POLYPHEMUS/DLR is a state-of-the-art air quality model taking into consideration - meteorological conditions, - photochemistry, - anthropogenic and natural (biogenic) emissions, - TROPOMI NO2 observations for data assimilation. This Level 4 air quality product (surface NO2 at 15:00 UTC) is based on innovative algorithms, processors, data assimilation schemes and operational processing and dissemination chain developed in the framework of the INPULS project. The DLR project INPULS develops (a) innovative retrieval algorithms and processors for the generation of value-added products from the atmospheric Copernicus missions Sentinel-5 Precursor, Sentinel-4, and Sentinel-5, (b) cloud-based (re)processing systems, (c) improved data discovery and access technologies as well as server-side analytics for the users, and (d) data visualization services.

Sentinel-5P TROPOMI - Aerosol Optical Depth (AOD), Level 3 - Global

Aerosol optical depth (AOD) as derived from TROPOMI observations. AOD describes the attenuation of the transmitted radiant power by the absence of aerosols. Attenuation can be caused by absorption and/or scattering. AOD is the primary parameter to evaluate the impact of aerosols on weather and climate. Daily AOD observations are binned onto a regular latitude-longitude grid. The TROPOMI instrument onboard the Copernicus SENTINEL-5 Precursor satellite is a nadir-viewing, imaging spectrometer that provides global measurements of atmospheric properties and constituents on a daily basis. It is contributing to monitoring air quality and climate, providing critical information to services and decision makers. The instrument uses passive remote sensing techniques by measuring the top of atmosphere solar radiation reflected by and radiated from the earth and its atmosphere. The four spectrometers of TROPOMI cover the ultraviolet (UV), visible (VIS), Near Infra-Red (NIR) and Short Wavelength Infra-Red (SWIR) domains of the electromagnetic spectrum. The operational trace gas products generated at DLR on behave ESA are: Ozone (O3), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Formaldehyde (HCHO), Carbon Monoxide (CO) and Methane (CH4), together with clouds and aerosol properties. This product is created in the scope of the project INPULS. It develops (a) innovative retrieval algorithms and processors for the generation of value-added products from the atmospheric Copernicus missions Sentinel-5 Precursor, Sentinel-4, and Sentinel-5, (b) cloud-based (re)processing systems, (c) improved data discovery and access technologies as well as server-side analytics for the users, and (d) data visualization services.

Sentinel-5P TROPOMI – Cloud Optical Thickness (COT), Level 3 – Global

This product displays the Cloud Optical Thickness (COT) around the globe. Clouds play a crucial role in the Earth's climate system and have significant effects on trace gas retrievals. The cloud optical thickness is retrieved from the O2-A band using the ROCINN algorithm. The TROPOMI instrument aboard the SENTINEL-5P space craft is a nadir-viewing, imaging spectrometer covering wavelength bands between the ultraviolet and the shortwave infra-red. TROPOMI's purpose is to measure atmospheric properties and constituents. It is contributing to monitoring air quality and providing critical information to services and decision makers. The instrument uses passive remote sensing techniques by measuring the Top Of Atmosphere (TOA) solar radiation reflected by and radiated from the earth and its atmosphere. The four spectrometers of TROPOMI cover the ultraviolet (UV), visible (VIS), Near Infra-Red (NIR) and Short Wavelength Infra-Red (SWIR) domains of the electromagnetic spectrum, allowing operational retrieval of the following trace gas constituents: Ozone (O3), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Formaldehyde (HCHO), Carbon Monoxide (CO) and Methane (CH4). Within the INPULS project, innovative algorithms and processors for the generation of Level 3 and Level 4 products, improved data discovery and access technologies as well as server-side analytics for the users are developed.

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