Beobachtungen an deutschlandweit verteilten Straßenwetterstationen. Meteorologische Parameter wie Temperatur, Niederschlag usw. werden alle 15 Minuten gemessen.
Der Waermehaushalt der trockenfallenden Wattflaechen und der Wasserflaechen wird untersucht. Waermestroeme im Boden und Temperaturaenderungen des Wassers werden zusammen mit den meteorologischen Einflussgroessen an 4 Stationen registriert. Daraus laesst sich die Reichweite der Auswirkungen von Kuehlwassereinleitungen angeben, als Grundlage fuer biologische und klimatische Untersuchungen. Veraenderung der Temperaturverhaeltnisse im Wasser und Wattboden durch Kuehlwassereinleitungen. Die Arbeiten laufen im Rahmen des Umweltprogramms - Ueberwachung der Kuestengewaesser - der Bundesregierung. Profilmessungen unter verschiedenen Tide- und Witterungsbedingungen werden vom Schiff aus durchgefuehrt um die Dauerregistrierungen zu unterstuetzen bzw. zu ergaenzen.
Es wird untersucht, in welcher Weise und in welchem Ausmass einige einzelne Faktoren wie Bodenfeuchtigkeit, Bodentemperatur, Sonnenlicht, Boden-pH, Sorption, Herbizidkonzentration, wiederholte Behandlung, Pestizidkombinationen und Zusatz von organischer Substanz und Duengesalzen den Abbau von Herbiziden beeinflussen koennen.
Das ist eine senseBox der Humboldt Explorers. Weitere Informationen unter: www.Humboldt-Explorers.de
Das ist eine senseBox der Humboldt Explorers. https://www.humboldt-explorers.de/
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.
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.
As part of the hydro-meteorological measurement campaign SwabianMOSES 2023 time-domain transmission (TDT) soil moisture sensors and temperature sensors with custom-made logger systems were used to measure time series of these soil state variables. In addition, a stationary cosmic-ray neutron sensor was deployed at the KITcube site near Villingen-Schwenningen to provide continuous soil moisture data for an area of between 10 and 20 hectares. For mapping the spatial distribution of soil moisture, several mobile CRNS campaigns have been conducted with a car across the Lindach catchment and beyond before and after prospective rain events. During these mobile CRNS measurements, in-situ soil moisture measurements were conducted, using a handheld time-domain reflectometry soil moisture sensor. 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). Regarding the TDT-sensors, 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.
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.
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