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CDC (Climate Data Center)

Free access and download to of a growing selection of DWD’s climate data. Via CDC Search you will find data for direct download and interactive access to station data. The interactive mode gives graphical and tabular previews of the German station data. In addition, all data sets remain accessible from our ftp server for direct download

Spatial distribution of aerosol and meteorological parameters measured during flight SourceFFR_ALADINA_20241011_01 with the UAS ALADINA near Frankfurt airport in October 2024

Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.

Regionalisierung landschaftsökologischer Parameter im alpinen Hochgebirgsraum (Walliser Alpen, Gornergrat). Bestimmung der hydrologischen Komplexgrößen Schnee und Bodenwasser sowie Klärung ihrer Bedeutung für das ökologische Prozeßgefüge

Ziel des Vorhabens ist, neben der Aufnahme des systembestimmenden Wirkungsgefüges für die alpine Gebirgsstufe, vor allem ein möglichst wirklichkeitsnahes Landschaftsmodell aufzubauen, um prognostische Aussagen zu potentiellen Umweltveränderungen für die alpine Stufe der Alpen treffen zu können. Das geplante Vorhaben versucht daher, für den alpinen Raum möglichst präzise flächenrelevante Aussagen zu den Systemparametern Vegetation, Biomasse, Relief, Schneedecke, Bodenfeuchte und Bodenwärme zu treffen, um im landschaftsökologischen Sinne das signifikante Beziehungsgefüge dieser Größen herauszustellen. Im Vordergrund der Arbeiten steht vor allem der Einsatz eines neuen feldtauglichen Messprinzips zur Bestimmung des Bodenwassergehalts auf der Basis von Wärmekapazitätsmessungen. Infolge einer engen Bindung des Bodenfeuchteregimes an das Mikrorelief sowie an die hydrologisch bedeutsame Schneedecke, sollen auch diese beiden ökologisch wichtigen Kenngrößen mit Hilfe einer fortschrittlichen Erfassungsmethodik aufgenommen werden (lasergestützter Digitalkompaß, 3D-Software). Es ist insbesondere dieser neue methodische Ansatz, der das geplante Vorhaben klar von bereits durchgeführten landschaftsökologischen Arbeiten in vergleichbaren Räumen löst und daher vielversprechende ökologische Grundlagenergebnisse erwarten läßt. Die vergleichsweise exakten Punkt- und Flächenparameteraufnahmen können aber auch als Beschreibung des ökosystemaren Ist-Zustandes verstanden werden, so daß Aufnahmewiederholungen bereits stattgefundene Systemveränderungen dokumentierten können (Ökosystemmonitoring).

openSenseMap: Sensor Box HE Wilhelm-von-Siemens-Gymnasium senseBox2

Das ist eine senseBox der Humboldt Explorers. https://www.humboldt-explorers.de/

Linking soil architecture formation with changing permafrost regime to carbon turnover in high latitude soils at multiple spatial scales

Most soils develop distinct soil architecture during pedogenesis and soil organic carbon (SOC) is sequestered within a hierarchical system of mineral-organic associations and aggregates. Permafrost soils store large amounts of carbon due to their permanently frozen subsoil and a lack of oxygen in the active layer, but they lack complex soil structure. With permafrost thaw more oxidative conditions and increasing soil temperature presumably enhance the build-up of more complex units of soil architecture and may counterbalance, at least partly, SOC mineralization. We aim to explore the development of mineral-organic associations and aggregates under different permafrost impact with respect to SOC stabilization. This information will be linked to environmental control factors relevant for SOC turnover at the pedon and stand scale to bridge processes occurring at the aggregate scale to larger spatial dimensions. We will combine in situ spectroscopic techniques with fractionation approaches and identify mechanisms relevant for SOC turnover at different scales by multivariate statistics and variogram analyses. From this we expect a deeper knowledge about soil architecture formation in the transition of permafrost soils to terrestrial soils and a scale-spanning mechanistic understanding of SOC cycling in permafrost regions.

Spatial distribution of aerosol and meteorological parameters measured during flight SourceFFR_ALADINA_20241018_21 with the UAS ALADINA near Frankfurt airport in October 2024

Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.

Spatial distribution of aerosol and meteorological parameters measured during flight SourceFFR_ALADINA_20241016_12 with the UAS ALADINA near Frankfurt airport in October 2024

Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.

Spatial distribution of aerosol and meteorological parameters measured during flight SourceFFR_ALADINA_20241017_16 with the UAS ALADINA near Frankfurt airport in October 2024

Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.

Spatial distribution of aerosol and meteorological parameters measured during flight SourceFFR_ALADINA_20241016_10 with the UAS ALADINA near Frankfurt airport in October 2024

Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.

Spatial distribution of aerosol and meteorological parameters measured during flight SourceFFR_ALADINA_20241017_17 with the UAS ALADINA near Frankfurt airport in October 2024

Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.

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