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.
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.
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.
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.
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.
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.
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.
In Inner Mongolia the heterogeneity of rainfall patterns, differences in grazing intensity and topography lead to strong temporal and spatial variability of soil moisture which has great effects on vegetation growth and influences CO2 and water fluxes. The spatial and temporal distribution and variability of near surface soil moisture will be modelled with a new approach using the atmospheric boundary layer model HIRVAC and thermal imagery obtained during the 2009 field campaign within the MAGIM research group. Thermal imagery was collected using a microlite aircraft which emerged as an adequate platform particularly for remote areas. The resulting soil moisture grids will allow for the analysis of spatial soil moisture variability at field and local scale. The high geometrical resolution (1 m) closes the gap between point surface and satellite measurements.
Das Strahlungsbudget der Erde und die Sensitivität des Klimasystems gegenüber externen Antrieben werden stark durch den Wasserkreislauf und die Bildung von tiefliegenden Wolken in der marinen Grenzschicht der Passatwindzone beeinflusst. Die Darstellung dieser Prozesse in globalen Klimamodellen ist allerdings mit großen Unsicherheiten verbunden. Das Ziel dieses Projektes ist es, diese Unsicherheiten zu reduzieren und unser Verständnis von Wassertransport-Prozessen in der Passatwindzone zu verbessern. Dazu werden hoch entwickelte Transport-Diagnostiken in Klimasimulationen verwendet, die ein breites Spektrum an räumlichen Auflösungen abdecken (Gitterpunktsabstände von unter 1 km bis zu 100 km). Die Beiträge verschiedener Quellregionen und Transportwege zum Feuchtebudget in der marinen Grenzschicht werden mit Hilfe von numerischen Feuchte-Tracern quantifiziert. Diese passiven Tracer werden mit prognostischen Simulationen von Wasserisotopen kombiniert, um spezifische Fingerabdrücke der verschiedenen diagnostizierten Feuchte-Transportwege in der Isotopenzusammensetzung zu bestimmen. Schließlich wird die simulierte Isotopenzusammensetzung mit Messungen von der EUREC4A-Messkampagne im tropischen Nordatlantik verglichen. Auf diese Weise wird untersucht, inwiefern Beobachtungen von Wasserisotopen dazu dienen können, die simulierten Transportprozesse zu evaluieren. Durch diesen skalenübergreifenden Modellierungsansatz, in Kombination mit Beobachtungsdaten von der EUREC4A-Kampagne, werden wir in der Lage sein, die Darstellung des tropischen Wasserkreislaufs in Klimamodellen auf neuartige Art und Weise zu evaluieren und schlussendlich zu verbessern.
Die Atmosphäre und die Vegetation der Erdoberfläche beeinflussen sich gegenseitig durch bidirektionale Austauschprozesse. Modelle zur Wetter- und Klimavorhersage basieren auf einem mechanistischen Verständnis dieser Interaktionen. Die Vorhersagen und die grundlegenden Theorien funktionieren allerdings nur im Falle einer gut durchmischten (turbulenten) atmosphärischen Grenzschicht. Wenn jedoch stabile atmosphärische Bedingungen vorherrschen, wie typischerweise nachts der Fall, dann sind die bisherigen Theorien nicht ausreichend, um zuverlässige Vorhersagen zu treffen. Um oberflächennahe turbulente Austauschprozesse während stabiler atmosphärischer Schichtung mechanistisch zu verstehen und neue Theorien zu entwickeln, sind zunächst neuartige Mess- und Analyse-Methoden notwendig. Ziel dieses Projekts ist die Beobachtung und Charakterisierung von oberflächennahen Prozessen in der stabilen atmosphärischen Grenzschicht durch eine neuartige Kombination von Mess- und Analysemethoden. Mit einem hochauflösenden in-situ Messkubus (20x20x5m), der sich innerhalb eines größeren mittels Fernerkundung überwachten Raumes (500x500x1000m) befindet, können Bewegung und Strukturen von Temperatur gleichzeitig in Raum und Zeit erfasst werden. Dieser skalenübergreifende Ansatz erlaubt es, nicht-periodische, nicht gut gemischte und räumlich heterogene Bewegungen der Luft nahe der Erdoberfläche zu erfassen. Die gewonnenen Daten werden mittels neuester stochastischer Auswerteverfahren analysiert, um die (nicht-)turbulenten Bedingungen und deren Durchmischung zu charakterisieren. Der wissenschaftliche Gewinn des Projektes liegt in einem wegweisenden innovativen Ansatz, um Modelle in den Bereichen Strömungsmechanik und Erd-System Wissenschaften zu validieren, und so zu einem verbesserten Verständnis unseres Lebensraums, der Schnittstelle zwischen Land und Atmosphäre, zu führen.
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