The data consist of 4 frozen gridded estimates as described in Gillespie et al, 2022. The data are presented as 5 degree resolution global fields over 1850-2014. Station data arising from the International Surface Temperature Initiative (ISTI) global databank of monthly holdings have been homogenised using 20CRv3 to identify breakpoints. Four distinct approaches to adjustment have been undertaken resulting in 4 separate estimates of the resulting series. The gridding is a simple gridbox average of any observations available within each 5 degree gridbox. Data is available for those global land areas for which underlying station data are available in teh ISTI holdings.
Beobachtungen an deutschlandweit verteilten Straßenwetterstationen. Meteorologische Parameter wie Temperatur, Niederschlag usw. werden alle 15 Minuten gemessen.
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.
ICON-EPS 0.5º x 0.5º regular lat/lon grid, up to +180h every 6h, runs 00/12 UTC varios parameter, varios level, varios threshold
This dataset provides monthly maximum Land Surface Temperature (LST) values over Europe, derived from 1-km AVHRR observations. The data is generated by DLR and provided in the framework of the TIMELINE project. LST values are retrieved using physically-based split- and mono-window algorithms and corrected for atmospheric influences and surface emissivity. Only cloud-free observations with sensor view angles below 50 degrees are used. Due to reliance on infrared observations, data may be limited under persistent cloud cover. To ensure temporal consistency across sensors and overpass times, an orbit drift correction method was applied. This method harmonizes LST values to a fixed reference time of 13:00 local solar time, approximating the daily maximum temperature. The dataset is gridded in a 1-km LAEA ETRS89 projection. The product is provided in four tiles, covering the extent of the European Environmental Agency (EEA) reference grid, which includes the area from 900 000 m East and 900 000m North to 7 400 000m East and 5 500 000m North. The TIMELINE (TIMe Series Processing of Medium Resolution Earth Observation Data assessing Long-Term Dynamics In our Natural Environment) project, led by the German Remote Sensing Data Center (DFD) of the German Aerospace Center (DLR), focuses on generating a consistent, multi-decadal time series derived from NOAA and Metop AVHRR data. Spanning more than 40 years from the early 1980s to the present this dataset covers Europe and North Africa. TIMELINE establishes an operational environment for the systematic reprocessing of AVHRR raw data into Level 1b, Level 2, and Level 3 geoinformation products at 1.1 km spatial resolution. These products maintain uniform standards in format, projection, and spatial coverage. The dataset includes a comprehensive suite of land and atmospheric parameters such as atmospherically corrected surface reflectance, NDVI, snow cover, fire hotspots, burnt area, land and sea surface temperatures, and various cloud physical properties (e.g., cloud top temperature). By combining traditional and innovative remote sensing products with robust processing algorithms and state-of-the-art validation techniques, TIMELINE provides a unique, high-quality dataset for global change research.
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. The DKr plot in Kreinitz (Germany) started in 2010 with 12 oak trees outplanted yearly between 2010 and 2019 over two 11m x 15m grassland plots. Soil temperature and soil moisture were measured between 2016 and 2025, and soil chemistry was assessed yearly in the root-affected zone of trees aged between one and five years. Soil porosity and texture were evaluated in 2020.
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
Auf dem Schauinsland bei Freiburg, auf den ARINUS-Flächen im Forstbezirk Schluchsee, auf den Versuchsflächen des Sonderforschungsbereiches SFB-433 im Forstbezirk Tuttlingen und in der Oberrheinebene bei Hartheim werden auf verschiedenen Standorten Radialveränderungen der Baumschäfte von Fichten, Buchen und Kiefern hochaufgelöst, kontinuierlich registriert. An einem Teilkollektiv der Untersuchungsbäume werden zusätzlich Radialveränderungen in größeren Schafthöhen, an Ästen sowie an flachstreichenden Wurzeln registriert. Gleichzeitig werden Temperaturen ( Luft-, Kambial- und Boden-Temperaturen), die Luftfeuchte und Bodenfeuchten gemessen sowie die Phänophasentermine registriert. Aus den Analysen werden Informationen über die Bedeutung verschiedener Standortsfaktoren in den Untersuchungsgebieten auf das kurz-, mittel- und langfristige Wuchsverhalten von Bäumen erwartet. Aus dem Vergleich des Wachstumsverhaltens auf Standorten in verschiedenen Höhenlagen sollen tiefere Einblicke in die Umweltabhängigkeit des Baumwachstums gewonnen werden.
The "Land Surface Temperature derived from NOAA-AVHRR data (LST_AVHRR)" is a fixed grid map (in stereographic projection) with a spatial resolution of 1.1 km. The total size covering Europe is 4100 samples by 4300 lines. Within 24 hours of acquiring data from the satellite, day-time and night-time LSTs are calculated. In general, the products utilise data from all six of the passes that the satellite makes over Europe in each 24 hour period. For the daily day-time LST maps, the compositing criterion for the three day-time passes is maximum NDVI value and for daily night-time LST maps, the criterion is the maximum night-time LST value of the three night-time passes. Weekly and monthly day-time or night-time LST composite products are also produced by averaging daily day-time or daily night-time LST values, respectively. The range of LST values is scaled between –39.5°C and +87°C with a radiometric resolution of 0.5°C. A value of –40°C is used for water. Clouds are masked out as bad values. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/
| Origin | Count |
|---|---|
| Bund | 396 |
| Land | 76 |
| Wirtschaft | 8 |
| Wissenschaft | 82 |
| Zivilgesellschaft | 223 |
| Type | Count |
|---|---|
| Daten und Messstellen | 263 |
| Ereignis | 2 |
| Förderprogramm | 348 |
| Taxon | 1 |
| Text | 44 |
| unbekannt | 86 |
| License | Count |
|---|---|
| geschlossen | 56 |
| offen | 636 |
| unbekannt | 51 |
| Language | Count |
|---|---|
| Deutsch | 546 |
| Englisch | 246 |
| Resource type | Count |
|---|---|
| Archiv | 14 |
| Bild | 4 |
| Datei | 30 |
| Dokument | 24 |
| Keine | 295 |
| Multimedia | 1 |
| Unbekannt | 3 |
| Webdienst | 2 |
| Webseite | 397 |
| Topic | Count |
|---|---|
| Boden | 743 |
| Lebewesen und Lebensräume | 629 |
| Luft | 647 |
| Mensch und Umwelt | 741 |
| Wasser | 572 |
| Weitere | 735 |