API src

Found 973 results.

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_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.

Soil texture, soil physicochemical properties and climatic data from the PhytOakmeter plot DGRL_14 (Greifenhagen, Germany)

PhytOakmeter (www.phytoakmeter.de) is a field platform using the Quercus robur oak clone DF159 outplanted since 2010. This platform is used to monitor the impact of climate change and land use management on the "soil - plant - interactor" complex. Sites from PhytOakmeter are located either in forest or grassland habitats and represent a wide range of environmental contexts with specific stressors. All sites are equipped with loggers measuring air and soil temperature and soil humidity. Soil cores have been collected to analyze their chemical and physical characteristic. The DGRL plot in Greifenhagen (Germany) started in 2015 with 11 oak trees outplanted over a 50m x 10m grassland plot. Soil and air temperature were measured since 2018, soil moisture was measured since 2019, and soil chemistry was assessed in the root-affected zone of trees in 2016, 2020 and 2022. Soil porosity and texture were evaluated in 2020.

Soil- moisture and temperature from the plot DPFL_14 (Pfeiffhausen, Germany) from 2020

As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.

Soil- moisture and temperature from the plot DPFL_14 (Pfeiffhausen, Germany) from 2024

As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.

In-situ soil moisture and -temperature time series measurements during SwabianMOSES campaign 2023

As part of the hydro-meteorological measurement campaign SwabianMOSES 2023 time-domain transmission soil moisture sensors and temperature sensors with custom-made logger systems were used to measure time series of these soil state variables. The aim of these investigations was to provide data on physical soil properties used in a cross-disciplinary approach for a better understanding of hydro-meteorological extremes (such as high precipitation events and droughts). Each measurement site consisted of sensors at three depths with two sensors each. Logger systems were installed at six different observation sites which were distributed across the whole campaign target area in the vicinity of the Swabian Jura in Germany. Decisions on the specific installation depths were made during the installation at the respective sites based on the constitution of the local soil profiles. Installation protocols with a brief soil profile description and photos are part of this dataset. The dataset contains the values of location and time (UTC), soil temperature (in °C), relative permittivity and soil moisture (in % vol) derived from permittivity. Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensor with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the comments.

Soil- moisture and temperature from the PhytOakmeter plot DGRL_14 (Greifenhagen, Germany) from 2022

As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach.The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.

Spatial distribution of aerosol and meteorological parameters measured during flight SourceFFR_ALADINA_20241012_04 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.

ICON-D2

Mit dem ICON-D2 verfügt der Deutsche Wetterdienst (DWD) über ein Modell für Vorhersagen im Kürzestfristbereich bis +27 Stunden (bzw. +45 Stunden aus dem 03 UTC-Lauf). Mit seiner feinen Gitterpunktauflösung erzeugt das ICON-D2 insbesondere bei gefährlichen Wetterlagen verbesserte Vorhersagen, z. B. bei Wetterlagen mit hochreichender Feuchtkonvektion (Super- und Multizellengewitter, Böenwalzen, mesoskalige konvektive Komplexe) und bei Wetterereignissen, die durch Wechselwirkungen mit der feinskaligen Topographie entstehen (Bodennebel, Föhnstürme, heftige Hangabwinde, Sturzfluten). Das Modellgebiet des ICON-D2 deckt ganz Deutschland, Dänemark, die Benelux-Staaten, die Schweiz, Österreich und Teile der übrigen Nachbarstaaten ab. Die horizontale Auflösung des ICON-D2 im nativen Dreiecksgitter beträgt 2,1 km. Die einzelnen Parameter des Modells sind in den Keywords aufgeführt.

Soil temperature, volumetric water content, electrical conductivity, air temperature and atmospheric pressure measured every 10 minutes in a grass- and a herb-dominated area at a summer dike, Butjadingen, Germany (Nov 2022–Nov 2023)

To understand the role of plant species and functional diversity on the physical soil parameters of a sea dike, especially under prolonged drought conditions, continuous measurements of soil temperature, volumetric water content (soil moisture), soil electrical conductivity (EC), air temperature and atmospheric pressure were carried out from 22 November, 2022, to 22 November, 2023. The measurements were taken using six soil sensors from METER Group's TEROS 12 series, which were installed at three distinct soil depths (4 cm, 14 cm, 24 cm) and on two differently vegetated dike areas: one area with a grass-dominated plant community (referred to as 'Mix-Grass') and one area with a herb-dominated plant community (referred to as 'Mix-Herb'). The sensors were mounted on the southern (inland) side of a summer dike, which is located at the south-eastern North Sea coast of Germany (Butjadingen, Wesermarsch; 'Mix-Grass': 53.61211876 ° N, 8.330925695° E, 'Mix-Herb': 53. 61210826° N, 8.330989015° E), about 1 m below the dike crest. The dike height is approximately 3.6 m above mean high water (MHW). The measurement data was logged at 10-minute intervals using a ZL6 logger from the METER Group.

1 2 3 4 5 … 96 97 98