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
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.
Ziel des Projektes ist die Entwicklung eines Compoundproduktes aus einem Vlies und einer biologisch abbaubaren Beschichtung. Dieses biologisch abbaubare Compoundprodukt, VliesFilm genannt, soll konventionellen Mulchfolien aus Polyethylen im Pflanzenbau ersetzen können, bei gleichen positiven Wachstumseinflüssen auf die Pflanzen. Hauptkomponenten und Entwicklungsschritte des zu optimierenden integrierten Systems (Integrated Plant Management - IPM) sollen folgende sein: a: Entwicklung eines neuartigen biologisch abbaubaren Compoundproduktes aus einem Viskosevlies und einer Beschichtung zum Mulchen (VliesFilm). Beide Bestandteile des VliesFilms sind biobasiert und bestehen zu 100% (Vlies), bzw. 50% (Beschichtung) aus nachwachsenden Rohstoffen und sind biologisch abbaubar. Alle Inhaltstoffe der Beschichtung haben eine Lebensmittelzulassung (E-Nummer), stehen aber nicht in Konkurrenz zur Lebensmittelproduktion wie z.B. stärkebasierte Materialien. Der primäre Fokus liegt auf der Entwicklung und Optimierung des VliesFilms aus NaWaRos hinsichtlich der phytosanitären Eigenschaften im Vergleich zu konventionellem Mulchmaterial (PE, 20-25my). Als wichtigste pflanzenbaulichen Faktoren sind hier Wasserverfügbarkeit, Bodentemperatur, und die Unterdrückung von Unkräutern zu nennen. b: Der VliesFilm soll einen Mehrwert gegenüber konventionellen PE-Folien erhalten. Zu diesem Zweck werden die Beschichtungen eingefärbt, um repellente Effekte auf anfliegende Insekten (Modell Blattläuse) zu erreichen. Da diese Maßnahme einen Anflug zwar verringert, aber meist nicht komplett verhindern kann, wird ein regelmäßiges Monitoring vorgenommen, um etwaige interventiven Maßnahmen zu ergreifen. Hieraus folgt dann ein System zum integrierten Pflanzenschutz, um den Einsatz von chemischen Pflanzenschutzmitteln zu minimieren.
CONSTRAIN will focus research on three climate science knowledge gaps and a policy-facing knowledge gap that can be resolved over the next 4-5 years to significantly improve our understanding of how natural and human factors affect multi-decadal regional climate change. This will cement EU science as the world-leader in understanding climate sensitivity and climate variability, deliver significantly improved capability to make climate projections for the next 20-50 years, and provide up-to-date scientific evidence for international climate policy in two phases: Phase 1 will deliver a timely characterisation of physical science uncertainty and how it affects projections and committed levels of warming to the 2021 IPCC sixth assessment report; Phase 2 will deliver constrained surface temperature projections for the 2023 UNFCCC Global Stocktake. CONSTRAIN will take full advantage of climate model integrations from the sixth Climate Model Intercomparison Project (CMIP6) and will leverage existing H2020 and ERC projects. Novel CMIP6 analyses will be combined with dedicated high resolution simulations and new observations to address identified knowledge gaps on radiative forcing, cloud feedbacks and the relationship between ocean variability and atmospheric change. A fourth identified knowledge gap is the effective translation of new physical science understanding into an improved evidence base for policy decisions. CONSTRAIN will address this by developing climate model emulators that integrate and operationalise learning from across the consortium to provide new capability to assess impacts of climate change under a broad range of emission scenarios. We will focus on the expected spatially resolved decadal changes until mid-century providing robust evidence on climate sensitivity, and regional temperature, precipitation and circulation changes, thereby enabling evidence-based policy decisions that will directly benefit the EU's adaptation and mitigation strategy.
The rewetting of drained peatlands is a promising measure to mitigate carbon dioxide (CO2) emissions by preventing the further mineralization of the peat soil through aeration. While freshwater rewetted peatlands can be significant methane (CH4) sources in the short-term, in coastal ecosystems the input of sulfate-rich seawater could potentially mitigate these emissions. The purpose of the data collection was to examine whether the presence of sulfate, known as an alternative electron acceptor, can cause lower CH4 production and thus, emissions by favoring the growth of sulfate-reducers, which outcompete methanogens for substrate. We therefore investigated underlying variables such as the methane-cycling microbial community along with CH4 fluxes and set them in context with CO2 fluxes along a transect in a coastal peatland before and directly after rewetting. In this way, a conclusion about the short-term greenhouse gas mitigation potential of brackish water rewetting of coastal peatlands could be drawn. This data collection consists of six data sets, with direct comparisons before and after rewetting of CO2 and CH4 fluxes (Tab. 2) and associated microbial communities (Tab. 1) being the main data. Pore water geochemistry (Tab. 1 and 3) and surface water parameters (Tab. 4) were collected simultaneously to provide potential explanatory variables. The sampling of continuous water level (Tab. 5) within wells and atmospheric weather data (air and soil temperature, relative humidity, photosynthetic photon flux density; Tab. 6) from a weather station was done in addition. Measurements started in June/July/August 2019 after field installation was finalized and were conducted on the drained coastal fen "Polder Drammendorf" on the island of Rügen in North-East Germany. On 26th November 2019, the dike was opened and channeled in order to rewet the peatland with brackish water. Before, the dike separated the peatland from the adjacent bay "Kubitzer Bodden", which is part of a brackish lagoon system connected to the Baltic Sea. Therefore, the peatland was nearly completely flooded and now resembles a shallow lagoon with high fluctuating water levels. We measured along a humidity (pre-rewetting)/water level (post-rewetting) gradient (stations 0-8) towards and across the main North-South oriented drainage ditch, including four stations on the Eastern side of the ditch (1–4), two ditch stations (0, 5) and two stations (6, 7) on the Western side of the ditch. Station 8 was chosen as an additional station farther towards the adjacent bay on the Western side, but was only accessible before rewetting. CH4 and CO2 fluxes (stations 0-7) were calculated from online gas concentrations measurements using laser-based analyzers and manual closed chambers (Livingston, G. P., & Hutchinson, G. (1995). Enclosure-based measurement of trace gas exchange: Applications and sources of error. In P.A. Matson, & R.C. Harriss (Eds.). Biogenic trace gases: Measuring emissions from soil and water (pp. 14–51). Blackwell Science Ltd., Oxford, UK). Soil cores for microbial, dissolved gas concentrations and isotopic analysis were taken using a Russian type peat corer (De Vleeschouwer, F., Chambers, F. M., & Swindles, G. T. (2010). Coring and sub-sampling of peatlands for palaeoenvironmental research. Mires and Peat, 7, 1–10) before and after rewetting. Each time, we took duplicates at stations 1-8 for this rather labor-intensive process and divided the core into four depth sections: surface, 5–20, 20–40 and 40–50 cm. Subsamples for dissolved gases and stable carbon isotope analyses were taken with tip-cut syringes with a distinct volume of 3 ml (Omnifix, Braun, Bad Arolsen, Germany) and immediately placed into NaCl-saturated vials (20 ml, Agilent Technologies, 5182-0837, Santa Clara, USA) leaving no headspace and closed gas-tight using rubber stoppers and metal crimpers (both: diameter 20 mm, Glasgerätebau Ochs, Bovenden, Germany). Absolute abundances of specific functional target genes, including methane- and sulfate-cycling microorganisms, were measured with quantitative PCR (qPCR) after DNA was extracted (GeneMATRIX Soil DNA Purification Kit, Roboklon, Berlin, Germany) and quantified (Qubit 2.0 Fluorometer, ThermoFisher Scientific, Darmstadt, Germany). Surface and pore water parameters were measured in parallel to the gas measurements and soil coring for microbial analyses. Most surface water variables (pH, specific conductivity, salinity, nutrients, oxygen, sulfate and chloride concentrations, DOC/DIC) were measured in-situ using a multiparameter digital water quality meter or taken to the laboratory as water samples for further analysis. Likewise, pore water/soil variables (pH, specific conductivity, nutrients, metals, sulfate and chloride concentrations, CNS) were either measured in-situ or taken to the laboratory as soil samples. While surface water analysis was only conducted in the drainage ditch before rewetting, it was done along the entire transect after rewetting. In contrast, pore water/soil analysis was mostly conducted before rewetting and only repeated occasionally after rewetting where possible.
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.
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 temperature at 15cm depth and air temperature at 60cm height were collected using HOBO Pro V2 loggers, model U23-004. Two loggers were used. After data visualization, unrealistic values were removed manually for each logger, and mean temperature values were calculated at 30-minute intervals.
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