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Continuous water level observations at station BEFmate_S10pio, 2020-01 to 2023-09

Data presented here were collected between 2020-01 and 2023-09 at station BEFmate_S10pio within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) involving the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were established in the back-barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog (Germany). Groundwater levels at different elevation zones were measured using pressure loggers deployed in dip wells within the experimental islands as well as in the saltmarsh enclosed plots. Measurements were obtained using Hobo U20L Water Level Loggers (Onset Computer Corporation, Bourne, MA/USA). All devices were pre-calibrated by the manufacturer. Logged data were retrieved in the field using a Hobo Underwater Shuttle (U-DTW-1) and were read out with the HOBOware Pro (V3.7.28) software, Subsequent data processing was done using MATLAB (R2024b). Atmospheric pressure correction for water-level calculations was applied using data from a nearby weather station. Post-processing and quality control included (a) the removal of data covering maintenance activities, (b) an outlier detection, and (c) visual checks. Outliers in water level and temperature time series were detected using a moving-median filter and a 3-sigma criterion, with additional cross-checking against a reference sensor. Identified outliers were removed, and height-corrected water level series were produced to ensure consistency across sensors and years.

High resolution aircraft measurements of wind and temperature during the MOSAIC-ACA campaign in 2020

During the MOSAiC-ACA campaign conducted in August/September 2020 in Svalbard meteorological data (temperature, 3 wind components, air pressure) have been measured in high temporal resolution (100 Hz) using instrumentation that was installed at the nosebooms of Polar 5. For each flight the data are given as functions of time and position (including height above ground) along the flight tracks. All flights started and ended in Longyearbyen, Svalbard. Each file represents an entire flight starting well before the first movement of the plane and ending after the final parking position has been reached after landing. The wind measurement is only valid during flight and the full accuracy is only achieved during straight level flight sections. The absolute accuracy of the wind components is 0.2m/s for straight and level flights sections and the relative accuracy of the vertical wind speed is about 0.05m/s for straight and level flight sections. For these sections, which can be obtained on the basis of the given roll and pitch angles of the aircraft, the 100 Hz data can be used to derive turbulent fluxes of momentum and sensible heat. For further informations on the data processing and accuracy of the turbulence measurement refer to Hartmann et al. (2018, doi:10.5194/amt-11-4567-2018).

Continuous salinity observations at station BEFmate_I3pio, 2019-03 to 2021-07

Data presented here were collected between 2019-03 at 2021-07 at station BEFmate_I3pio within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) involving the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were established in the back-barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog (Germany). Salinity at different elevation zones was measured using conductivity loggers deployed in dip wells within experimental islands as well as in the saltmarsh enclosed plots. Measurements were obtained using HOBO U24 Conductivity Logger U24-002-C (Onset Computer Corporation, Bourne, MA/USA). All devices were pre-calibrated by the manufacturer. Logged data were retrieved in the field using a Hobo Underwater Shuttle (U-DTW-1) and were read out with the HOBOware Pro (V3.7.28) software. Salinity was derived in HOBOware Pro using temperature-dependent, nonlinear seawater conductivity compensation following the Practical Salinity Scale (PSS-78). Subsequent data processing was done using MATLAB (R2024b). Post-processing and quality control included (a) the removal of data covering maintenance activities, (b) the removal of implausible values using fixe thresholds (salinity > 40 psu and < 5 psu; temperature > 35 °C and < -5 °C), c) an outlier detection using the Hampel filter method, and (d) visual checks. Identified outliers were removed and synchronously removed across all associated parameters (temperature and salinity).

BioRegio: Regionale Biomassenutzungsstrategien

Das Verbundprojekt 'BioRegio - Regionale Bioenergienutzung' übertrug die im BMU-Projekt 'Stoffstrom-Biomasse' erstellten Werkzeuge auf ausgewählte Modell-Regionen und überprüfte die Umsetzungsbedingungen für die nationalen Strategien zur nachhaltigen energetischen Nutzung von Biomasse. Neben EDV- und Datenfragen wurde vom Öko-Institut dabei auch ein Werkzeug zur Berechnung der regionalen Wertschöpfung erstellt. Die Modellregionen waren folgende (in Klammern: betreuendes Institut): Naturpark Saar-Hunsrück (IZES + IfAS), Südlicher Oberrhein und Kiel-Eckernförde-Rendsburg-Neumünster (Öko-Institut), Emscher-Lippe (FhI-UMSICHT), Mecklenburg Ost und Mittelsachsen (IE). Informationen zu den Modellregionen finden sich unter www.bioregio.info

Continuous thermosalinograph oceanography along RV ALKOR cruise track AL627

Underway temperature and salinity data was collected along the cruise track with a thermosalinograph (TSG) together with a SBE38 Thermometer. Both systems worked throughout the cruise. While temperature is taken at the water inlet in about 4 m depth, salinity is estimated within the interior TSG from conductivity and interior temperature. No temperature calibration was performed. Salinity was calibrated with independent water samples taken at the water inlet. For details to all processing steps see Data Processing Report.

GTS Bulletin: SADL31 EDZO - Surface data (details are described in the abstract)

The SADL31 TTAAii Data Designators decode as: T1 (S): Surface data T1T2 (SA): Aviation routine reports A1A2 (DL): Germany(The bulletin collects reports from stations: EDDF;FRANKFURT AM MAIN INT;EDDH;HAMBURG;EDDK;COLOGNE BONN;EDDL;DUESSELDORF INT;EDDM;MUNICH INT;EDDN;NUREMBERG;EDDS;STUTTGART;EDDV;HANNOVER;EDZO;)

Master track of HEINCKE cruise HE569 in 1 sec resolution (zipped, 8.9 MB)

Raw data acquired by position sensors on board RV Heincke during expedition HE569 were processed to receive a validated master track which can be used as reference of further expedition data. During HE569 the inertial navigation system IXSEA PHINS III and the GPS receivers Trimble Marine SPS461 and SAAB R5 SUPREME NAV were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.o2a-data.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report found at EPIC repository https://hdl.handle.net/10013/epic.b8be17cb-4726-4a7c-b189-fc26fd9fef97. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.

Master track of MARIA S. MERIAN cruise MSM-X18 in 1 sec resolution (zipped, 33 MB)

Raw data acquired by position sensors on board RV MERIAN during expedition MSM-X18 were processed to receive a validated master track which can be used as reference of further expedition data. During MSM-X18 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and the GPS receivers Trimble SPS855 and SAAB R4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (http://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.

Continuous current observations near DynaCom experimental islands in the back-barrier tidal flat, Spiekeroog, Germany, 2019-11 to 2023-09

Data presented here were collected between November 2019 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) involving the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were established in the back-barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog (Germany). A recording current meter (RCM; SEAGUARD® Recording Current Meter, Aanderaa Data Instruments AS, Bergen/Norway) was installed in the back-barrier tidal flat near the experimental islands. The sensor was bottom-mounted in a shallow tidal creek (0.59 m NHN) using a steel girder buried in the sediment, which caused the sensor to be exposed during low tide. All low-tide data have been removed from the dataset. The system was equipped with a ZPulse Doppler Current Sensor (DCS), a conductivity sensor, an oxygen optode, and two analogue sensors for chlorophyll-a and turbidity (16445). All sensors were pre-calibrated by the manufacturer. Recorded data were internally logged until readout with the SeaGuard Studio software (V1.5.23). Salinity was derived in the SeaGuard Studio software using temperature-dependent, nonlinear seawater conductivity compensation following the Practical Salinity Scale (PSS-78). Subsequent data processing was done using MATLAB (R2024b). Turbidity and chlorophyll-a data were excluded from the final dataset, as the recorded signals show implausible values and did not pass quality-control criteria. Post-processing and quality control included (a) the removal of low tide data, data covering maintenance activities, and data affected by biofouling, (b) the removal of implausible values, c) an outlier detection using the Hampel filter method, and (d) visual checks. Identified outlier were removed and synchronously removed across all associated parameters of the respective sensor.

Änderungen geomorphodynamischer Prozesse in der Arktis (West-Spitzbergen): Indikatoren globalen Klimawandels?

Das Forschungsprojekt verfolgt das Ziel, beobachtbare Änderungen in der Geomorphodynamik und im Landschaftshaushalt nordpolarer Räume systematisch zu erfassen und deren Verursachung zu ergründen. Als Arbeitshypothese dient die Diskussion und Szenarienentwicklung des globalen Klimawandels ('Global Warming'), wobei von einer natürlichen Erwärmung seit der Mitte des 19. Jahrhunderts und einer potentiellen, progressiven und anthropogenen Klimabeeinflussung ('Treibhauseffekt') der letzten 60 Jahre ausgegangen wird. Als Modellregion wurde dafür das Adventtal und Umgebung in West-Spitzbergen ausgewählt. Kriterien waren dabei ein weit ausgedehntes, facettenreiches Periglazialrelief, gute Erreichbarkeit und Zugänglichkeit, die Verfügbarkeit von Karten- und Luftbildmaterial sowie die Zugriffsmöglichkeiten auf meteorologische Daten. Mit Hilfe einer detaillierten Kartierung und Dokumentation sollen subrezente, rezente und aktuell sich verändernde geomorphodynamische Prozesse als Indikatoren für Klimaänderungen (insbesondere Erwärmung) systematisch getestet, klassifiziert und bewertet werden. Weiterhin wird versucht, mögliche Auswirkungen einer Klimaveränderung im Landschaftshaushalt polarer Regionen als Szenario zu ermitteln.

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