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Forschergruppe (FOR) 1598: From Catchments as Organised Systems to Models based on Dynamic Functional Units (CAOS)

Within phase 2 of the CAOS research unit we will work towards a holistic framework to explore how spatial organization alongside with spatial heterogeneity controls terrestrial water and energy cycles in intermediate scale catchments. 'Holistic' means for us to link the 'how' to the 'why' by drawing from generic understanding of landscape formation and biotic controls on processes and structures as well as to rely on exemplary experimental learning in a hypothesis and theory based manner. This also implies treatment of soil, vegetation and atmosphere as coupled system rather than a linear combination of different compartments. To jointly work towards this goal we propose 7 projects which will closely cooperate within two overarching work packages:WP1: Linking hydrological similarity with landscape structure across scalesWP2: Searching for appropriate catchment models and organizing principles. Within WP1 we will further refine the existing stratified multi-method and multi-sensor setup to search for functional entities in the Attert and, if they exist, to learn in an exemplary manner which structural features control functional characteristics. This essentially includes identification of suitable metrics to discriminate functional and structural similarity from data as well as identification of useful quantitative descriptors for the rather fuzzy term 'hydrological function'. Overall we aim to synthesize a protocol to decide 'where to assess which data for what reasons' for characterizing hydrological functioning across a scale range of four orders of magnitude.Within WP2 we will foster our distillery of parsimonious and nevertheless physically consistent model structures which rely on observable quantities and make use of symmetries in the landscape to simplify the governing model equations in a hypothesis based manner. To this end we will compare concurring model structures (among those the CAOS model) and work towards a framework for an objective model inter comparison with special emphasis on a) the added value of different data/information sources and b) on consistency of predictions with respect to distributed dynamics and integral flows. Additionally, we aim in WP2 at linking the 'how' to the 'why' by synthesizing testable hypotheses that could explain whether spatial organization has evolved in accordance with candidate organizing principles. Ecology, fluvial geomorphology and thermodynamics offer a large set of candidate organizing principles for this issue. Based on our recent work we will focus especially on thermodynamic limits and optimality principles like maximum entropy production, explore their value for uncalibrated hydrological predictions and work out the necessary requirements on data and models for testing these principles. We put special emphasis on a possible experimental falsification of these candidate principles; also in close collaboration with the B2-Landscape Evolution Observatory in Tucson, Arizona.

Abfallwirtschaft

Als oberste Landesabfallbehörde hat die Abteilung Abfallwirtschaft der Behörde für Umwelt, Klima, Energie und Agrarwirtschaft die Entsorgungssicherheit und die Sauberkeit in Hamburg zu gewährleisten. Sie erarbeitet die Abfallwirtschaftspläne für Hamburg und ist für die kommunale wie die private Abfallwirtschaft in Hamburg ministeriell zuständig. Ihr obliegt die fachliche Steuerung der Stadtreinigung Hamburg mit den Aufgabenfeldern kommunale Abfallentsorgung, Wegereinigung und Winterdienst sowie öffentliche Toiletten. Außerdem nimmt sie zentrale Vollzugsaufgaben u.a. in den Bereichen nationale und internationale Nachweisverfahren, Schiffsentsorgung sowie Genehmigung und Überwachung von Abfallentsorgungsanlagen wahr. Die Abteilung Abfallwirtschaft repräsentiert die Freie und Hansestadt Hamburg in der Bund/Länder- Arbeitsgemeinschaft Abfall (LAGA) und in anderen Gremien und Arbeitskreisen. Sie ist Ansprechpartnerin für Bürgerinnen und Bürger sowie für Unternehmen in allen Fragen, die mit der Abfallwirtschaft zusammenhängen.

Hocheffiziente und robuste Leistungselektronik - ERLE

Forschergruppe (FOR) 1525: INUIT - Ice Nuclei research UnIT, Die Bedeutung von Eisnukleationspartikeln und -moden für die Entstehung der Eisphase und Niederschlag: Modellsimulationen basierend auf Labormesssungen

In diesem Projekt sollen mit COSMO-SPECS, einem 3D-Wolkenmodell mit einer spektralen Beschreibung der wolken-mikrophysikalischen Prozesse von Hydrometeoren und Aerosolpartikeln, Modellsimulationen durchgeführt werden. Da dasselbe mikrophysikalische Schema in dem Luftpaketmodell enthalten ist, mit dem in INUIT-1 gearbeitet wurde, werden alle neuen Entwicklungen und Verbesserungen der Mikrophysik aus INUIT-1 direkt in COSMO-SPECS übertragen. Zunächst soll ein künstlicher Testfall simuliert werden, eine Wärmeblase über einem flachen Gelände. Sensitivitätsstudien sollen die Entwicklung der Eisphase und die Bildung von Niederschlag aufzeigen, wobei die Verteilung und die Typen der Eisnukleations-Partikel auf realistische Weise variiert werden. Ein anderer Schwerpunkt der Sensitivitätsstudien soll auf der Wirkung von sog. kleinen Triggern liegen, wie etwa Eisnukleations-Partikel oder Gefriermoden (z.B. biologische Partikel oder Kontaktgefrieren), die keine signifikanten Effekte hinsichtlich der Anzahl der entstehenden Eispartikel zeigen, aber doch die Dynamik der Wolke in einer Weise beeinflussen können, dass sich im Endeffekt die Eisbildung erhöht. Weiterhin ist in Zusammenarbeit mit INUIT RP5 eine Fallstudie geplant, die auf INUIT Feldexperimenten basiert. Hier sollen die Beiträge der verschiedenen eisbildenden Prozesse quantifiziert werden und dadurch die atmosphärische Relevanz der Eisbildungs-Regimes, wie sie in INUIT Labor- und Feldexperimenten untersucht werden, abgeschätzt werden. Gleichzeitig werden neue Parametrisierungen für Partikel, die während INUIT-2 untersucht werden, entwickelt und in das mikrophysikalische Schema eingebunden; vorhandene Parametrisierungen sollen weiter modifiziert und verbessert werden. Dieses Projekt schließt selbst auch Laborexperimente zum Kontakt- und Immersionsgefrieren ein, die am Mainzer vertikalen Windkanal und mit einer akustischen Tropfenfalle durchgeführt werden. Hier liegt der Schwerpunkt auf einer Verbesserung des Kontaktgefrierens. Die Experimente sollen am Mainzer vertikalen Windkanal durchgeführt werden, wobei unterkühlte Tropfen in einem Luftstrom, der die potentiellen Kontakteiskeime mit sich führt, frei ausgeschwebt werden. Auf diese Weise kann die Anzahl der Kollisionen zwischen Tropfen und Partikeln berechnet und die Gefriereffizienz, d.h. die Gefrierwahrscheinlichkeit für eine Tropfen-Partikel Kollision bestimmt werden.

Seawater carbonate chemistry and behavioural trait expression of polar invertebrates

Here, we examine the ecosystem ramifications of changes in sediment-dwelling invertebrate bioturbation behaviour—a key process mediating nutrient cycling—associated with nearfuture environmental conditions (+ 1.5 °C, 550 ppm [pCO2]) for species from polar regions experiencing rapid rates of climate change. This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were downloaded from Polar Data Centre (see Source) by the OA-ICC data curator. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-07-11.

Maps resulting from Spatial Prioritisation carried out for iAtlantic - Systematic Conservation Planning reported in D5.3 and included in MS25

This data publication contains maps resulting from spatial prioritisations conducted for the iAtlantic D5.3 report on Systematic Conservation Planning of the wider Atlantic Ocean based on results generated by the iAtlantic project. The maps were produced using the prioritizr R package (Hanson et al. 2023), which identifies priority areas for achieving specific conservation goals while minimising costs. The various prioritisations were developed to address multiple research questions related to: (1) identifying priority areas for conservation and restoration, (2) transboundary conservation, (3) climate-smart conservation planning, and (4) protecting 30% of the Atlantic Ocean, including 10% under strict protection. The results are organised into subfolders based on the research questions addressed and further categorised into data-rich and data-poor regions, along with aggregate results for each region. Further, the results are organised into subfolders representing multiple scenarios executed using various cost layers, including area-based, Global Fishing Watch (GFW, 2023) benthic, GFW total fishing, Global Fisheries Landings (GFL, Watson 2019) v4.0 benthic, and GFL v4.0 total landings. Each map filename provides descriptive information about the executed scenario.

Repository der KI-Ideenwerkstatt: toxfox-ocr

<p>Im Pilotprojekt <a href="https://www.ki-ideenwerkstatt.de/unterstuetzung-materialien/pilotprojekte/toxfox-mithilfe-von-ki-inhaltsstoffe-scannen/"><em>ToxFox</em></a> wurde 2024/25 gemeinsam mit dem <a href="https://www.bund.net/">BUND</a> eine KI-basierte OCR-L&ouml;sung (englisch: optical character recognition, Bild zu Text) entwickelt. Hierbei wird via FastAPI-Webanwendung ein per Smartphonekamera aufgenommens Bild der Informationstextes der Inhaltsstoffe auf Verpackung eines Produktes erfasst und anschlie&szlig;end eine Liste der gefundenen Schadstoffe nach INCI zur&uuml;ckgegeben. INCI steht f&uuml;r die Internationale Nomenklatur f&uuml;r kosmetische Inhaltsstoffe. Bisher musste f&uuml;r diesen Prozess der Barcode der Produkte gescannt werden. Mit der OCR-L&ouml;sung sollen u.a. Fehler korrigiert werden, die durch veraltete, auf Barcodes enthaltene Informationen entstehen oder sich durch eine Umbenennung der Chemikalien durch die Industrie ergeben k&ouml;nnten.</p>

Geochemical parameters in peat depth profiles from ombrotrophic bogs in North and Central Europe. Drebbersches Moor, Germany

This dataset contains geochemical variables measured in six depth profiles from ombrotrophic peatlands in North and Central Europe. Peat cores were taken during the spring and summer of 2022 from Amtsvenn (AV1), Germany; Drebbersches Moor (DM1), Germany; Fochteloër Veen (FV1), the Netherlands; Bagno Kusowo (KR1), Poland; Pichlmaier Moor (PI1), Austria and Pürgschachen Moor (PM1), Austria. The cores AV1, DM1 and KR1 were taken using a Wardenaar sampler (Royal Eijkelkamp, Giesbeek, the Netherlands) and had diameter of 10 cm. The cores FV1, PM1 and PI1 had an 8 cm diameter and were obtained using an Instorf sampler (Royal Eijkelkamp, Giesbeek, the Netherlands). The cores FV1, DM1 and KR1 were 100 cm, core AV1 was 95 cm, core PI1 was 85 cm and core PM1 was 200 cm. The cores were subsampeled in 1 cm (AV1, DM1, KR1, FV1) and 2 cm (PI1, PM1) sections. The subsamples were milled after freeze drying in a ballmill using tungen carbide accesoires. X-Ray Fluorescence (WD-XRF; ZSX Primus II, Rigaku, Tokyo, Japan) was used to determine Al (μg g-1), As (μg g-1), Ba (μg g-1), Br (μg g-1), Ca (g g-1), Cl (μg g-1), Cr (μg g-1), Cu (μg g-1), Fe (g g-1), K (g g-1), Mg (μg g-1), Mn (μg g-1), Na (μg g-1), P (μg g-1), Pb (μg g-1), Rb (μg g-1), S (μg g-1), Si (μg g-1), Sr (μg g-1), Ti (μg g-1) and Zn (μg g-1). These data were processed and calibrated using the iloekxrf package (Teickner & Knorr, 2024) in R. C, N and their stable isotopes were determined using an elemental analyser linked to an isotope ratio mass spectrometer (EA-3000, Eurovector, Pavia, Italy & Nu Horizon, Nu Instruments, Wrexham, UK). C and N were given in units g g-1 and stable isotopes were given as δ13C and δ15N for stable isotopes of C and N, respectively. Raw data C, N and stable isotope data were calibrated with certified standard and blank effects were corrected with the ilokeirms package (Teickner & Knorr, 2024). Using Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) (Agilent Cary 670 FTIR spectromter, Agilent Technologies, Santa Clara, Ca, USA) humification indices (HI) were determined. Spectra were recorded from 600 cm-1 to 4000 cm-1 with a resolution of 2 cm-1 and baselines corrected with the ir package (Teickner, 2025) to estimate relative peack heights. The HI (no unit) for each sample was calculated by taking the ratio of intensities at 1630 cm-1 to the intensities at 1090 cm-1. Bulk densities (g cm-3) were estimated from FT-MIR data (Teickner et al., in preparation).

Geochemical parameters in peat depth profiles from ombrotrophic bogs in North and Central Europe. Fochteloër Veen, the Netherlands

This dataset contains geochemical variables measured in six depth profiles from ombrotrophic peatlands in North and Central Europe. Peat cores were taken during the spring and summer of 2022 from Amtsvenn (AV1), Germany; Drebbersches Moor (DM1), Germany; Fochteloër Veen (FV1), the Netherlands; Bagno Kusowo (KR1), Poland; Pichlmaier Moor (PI1), Austria and Pürgschachen Moor (PM1), Austria. The cores AV1, DM1 and KR1 were taken using a Wardenaar sampler (Royal Eijkelkamp, Giesbeek, the Netherlands) and had diameter of 10 cm. The cores FV1, PM1 and PI1 had an 8 cm diameter and were obtained using an Instorf sampler (Royal Eijkelkamp, Giesbeek, the Netherlands). The cores FV1, DM1 and KR1 were 100 cm, core AV1 was 95 cm, core PI1 was 85 cm and core PM1 was 200 cm. The cores were subsampeled in 1 cm (AV1, DM1, KR1, FV1) and 2 cm (PI1, PM1) sections. The subsamples were milled after freeze drying in a ballmill using tungen carbide accesoires. X-Ray Fluorescence (WD-XRF; ZSX Primus II, Rigaku, Tokyo, Japan) was used to determine Al (μg g-1), As (μg g-1), Ba (μg g-1), Br (μg g-1), Ca (g g-1), Cl (μg g-1), Cr (μg g-1), Cu (μg g-1), Fe (g g-1), K (g g-1), Mg (μg g-1), Mn (μg g-1), Na (μg g-1), P (μg g-1), Pb (μg g-1), Rb (μg g-1), S (μg g-1), Si (μg g-1), Sr (μg g-1), Ti (μg g-1) and Zn (μg g-1). These data were processed and calibrated using the iloekxrf package (Teickner & Knorr, 2024) in R. C, N and their stable isotopes were determined using an elemental analyser linked to an isotope ratio mass spectrometer (EA-3000, Eurovector, Pavia, Italy & Nu Horizon, Nu Instruments, Wrexham, UK). C and N were given in units g g-1 and stable isotopes were given as δ13C and δ15N for stable isotopes of C and N, respectively. Raw data C, N and stable isotope data were calibrated with certified standard and blank effects were corrected with the ilokeirms package (Teickner & Knorr, 2024). Using Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) (Agilent Cary 670 FTIR spectromter, Agilent Technologies, Santa Clara, Ca, USA) humification indices (HI) were determined. Spectra were recorded from 600 cm-1 to 4000 cm-1 with a resolution of 2 cm-1 and baselines corrected with the ir package (Teickner, 2025) to estimate relative peack heights. The HI (no unit) for each sample was calculated by taking the ratio of intensities at 1630 cm-1 to the intensities at 1090 cm-1. Bulk densities (g cm-3) were estimated from FT-MIR data (Teickner et al., in preparation).

Geochemical parameters in peat depth profiles from ombrotrophic bogs in North and Central Europe. Pichlmaier Moor, Austria

This dataset contains geochemical variables measured in six depth profiles from ombrotrophic peatlands in North and Central Europe. Peat cores were taken during the spring and summer of 2022 from Amtsvenn (AV1), Germany; Drebbersches Moor (DM1), Germany; Fochteloër Veen (FV1), the Netherlands; Bagno Kusowo (KR1), Poland; Pichlmaier Moor (PI1), Austria and Pürgschachen Moor (PM1), Austria. The cores AV1, DM1 and KR1 were taken using a Wardenaar sampler (Royal Eijkelkamp, Giesbeek, the Netherlands) and had diameter of 10 cm. The cores FV1, PM1 and PI1 had an 8 cm diameter and were obtained using an Instorf sampler (Royal Eijkelkamp, Giesbeek, the Netherlands). The cores FV1, DM1 and KR1 were 100 cm, core AV1 was 95 cm, core PI1 was 85 cm and core PM1 was 200 cm. The cores were subsampeled in 1 cm (AV1, DM1, KR1, FV1) and 2 cm (PI1, PM1) sections. The subsamples were milled after freeze drying in a ballmill using tungen carbide accesoires. X-Ray Fluorescence (WD-XRF; ZSX Primus II, Rigaku, Tokyo, Japan) was used to determine Al (μg g-1), As (μg g-1), Ba (μg g-1), Br (μg g-1), Ca (g g-1), Cl (μg g-1), Cr (μg g-1), Cu (μg g-1), Fe (g g-1), K (g g-1), Mg (μg g-1), Mn (μg g-1), Na (μg g-1), P (μg g-1), Pb (μg g-1), Rb (μg g-1), S (μg g-1), Si (μg g-1), Sr (μg g-1), Ti (μg g-1) and Zn (μg g-1). These data were processed and calibrated using the iloekxrf package (Teickner & Knorr, 2024) in R. C, N and their stable isotopes were determined using an elemental analyser linked to an isotope ratio mass spectrometer (EA-3000, Eurovector, Pavia, Italy & Nu Horizon, Nu Instruments, Wrexham, UK). C and N were given in units g g-1 and stable isotopes were given as δ13C and δ15N for stable isotopes of C and N, respectively. Raw data C, N and stable isotope data were calibrated with certified standard and blank effects were corrected with the ilokeirms package (Teickner & Knorr, 2024). Using Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) (Agilent Cary 670 FTIR spectromter, Agilent Technologies, Santa Clara, Ca, USA) humification indices (HI) were determined. Spectra were recorded from 600 cm-1 to 4000 cm-1 with a resolution of 2 cm-1 and baselines corrected with the ir package (Teickner, 2025) to estimate relative peack heights. The HI (no unit) for each sample was calculated by taking the ratio of intensities at 1630 cm-1 to the intensities at 1090 cm-1. Bulk densities (g cm-3) were estimated from FT-MIR data (Teickner et al., in preparation).

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