CO-MICC is a data portal for freshwater-related climate change risk assessment at multiple spatial scales. It is named after the research project during which it was developed, i.e. the CO-MICC (CO-development of Methods to utilize uncertain multi-model-based Information on freshwater-related hazards of Climate Change) project (2017-2021). The aim of CO-MICC is to support decision making in the public and private spheres dealing with future availability of freshwater resources. This climate service is operated and maintained by the International Centre for Water Resources and Global Change (ICWRGC), and more broadly by the German Federal Institute of Hydrology. The portal comprises data of over 80 indicators of freshwater-related hazards of climate change, which can be visualized in the form of global maps or interactive graphs. The indicators are dynamically calculated based on modelled annual and monthly gridded (0.5°) data sets of climate and hydrological variables. These data sets were computed by a multi-model ensemble comprising four Representative Concentration Pathways (RCPs), four General Circulation Models (GCMs), three Global Hydrological Models (GHMs) and two variants per hydrological model, which amounts to 96 ensemble members in total. They were provided by three European research modelling teams that are part of the ISIMIP consortium. The indicator data correspond to absolute or relative changes averaged over future 30-year periods, as compared to the reference period 1981-2010.
Die 4D-Var Datenassimilation (4D-var DA) ist eine spezielle Methode, die zur Initialisierung von Klima- und Wettervorsagen durch die Schätzung von Klimamodellparametern benutzt wird, in dem Modelle an beobachtende Daten angepasst werden. Aus verschiedenen Gründen führen DA unvermeidliche methodische Fehler ein, die sich auf die Genauigkeit der Modellvorhersagen auswirken. Aktuelle Methoden zur Fehlerkorrektur brauchen erhebliche Computerressourcen. Dies ist ein Grund, warum die Verwendung dieser Methoden in der Klimamodellierung begrenzt ist und sie nur in vereinfachten Versionen angewandt werden. Die Entwicklung einer konzeptuell neuartigen, robusten und effizienten, nichtlinear-variationellen Fehlerschätzungsmethode (NOVFEM) ist Ziel dieses Projekts. Diese Methode wird Fehler von DA Methoden schätzen und die notwendigen Korrekturen bestimmen. Im Besonderen ist es geplant, VOVFEM im Rahmen einer Anwendung in Klimavorhersagesystemen zu entwickeln. Der Vorteil der vorgeschlagenen Methode ist, dass der Algorithmus auf einer abstrakten mathematischen Formulierung basiert und deshalb in vielen geophysikalischen Bereichen angewandt werden kann. Eine weitere Innovation dieses Projekts ist die Entwicklung einer Methode zur schnellen und einfachen Berechnung von inversen Kovarianzmatrizen, die z. B. Anwendung in DA finden. Die vorgeschlagenen Methode ist im Vergleich mit existieren Methoden effizienter. Es wird erwartet, dass die theoretischen Ergebnisse dieses Projekt national und international veröffentlicht werden und ein freier Zugang zur NOVFEM Software wird bereitgestellt werden.
Farm structures are often characterized by regional heterogeneity, agglomeration effects, sub-optimal farm sizes and income disparities. The main objective of this study is to analyze whether this is a result of path dependent structural change, what the determinants of path dependence are, and how it may be overcome. The focus is on the German dairy sector which has been highly regulated and subsidized in the past and faces severe structural deficits. The future of this sector in the process of an ongoing liberalization will be analyzed by applying theoretical concepts of path dependence and path breaking. In these regards, key issues are the actual situation, technological and market trends as well as agricultural policies. The methodology will be based on a participative use of the agent-based model AgriPoliS and participatory laboratory experiments. On the one hand, AgriPoliS will be tested as a tool for stakeholder oriented analysis of mechanisms, trends and policy effects. This part aims to analyze whether and how path dependence of structural change can be overcome on a sector level. In a second part, AgriPoliS will be extended such that human players (farmers, students) can take over the role of agents in the model. This part aims to compare human agents with computer agents in order to overcome single farm path dependence.
The permeable sandy sediments of beach aquifers receive a high input of electron acceptors, such as oxygen (O2), as well as fresh organic matter through seawater infiltration, driving the biogeochemical turnover in the subterranean estuary. Here, we experimentally determined seasonal sedimentary O2 consumption rates of intertidal sediments along a transect in the seawater infiltration zone at Spiekeroog Island North Beach, Germany, and present the data together with measurements of organic carbon and grain sizes, oxygen concentration of pore waters and beach topography. The samples were taken down to 1 m depth during two-monthly sampling campaigns from May 2022 to April 2023. Preliminary investigations of O2 consumption rates took place in in March, June and August 2017. Sediment and porewater sampling procedures were carried out as described by Massmann et al. (2023). O2 consumption rates were determined in slurry incubations of the retrieved sediments using gas tight vials (Labco Exetainer® 12 ml) equipped with O2 sensor spots (Pyroscience, OXSP5). Incubations were carried out in the dark at in situ temperatures, and vials were mounted on a rotating wheel to mimic porewater advection. The sediment's total organic carbon content was determined in a CS analyser (Eltra CS 800). Additionally, the fine fraction of the sediment was washed out and the organic carbon content of the fine sediments was measured in a CHNSO analyser (Hekatech Euro EA). The grain size distribution of the sediments was detemined using dynamic image analysis (Sympatec QICPIC). The O2 concentration in the pore water along the transect was measured immediately after the sample was taken using a flow-through oxygen optode (Pyroscience, OXFTC). The data was collected to investigate the impact of seasonal inputs and filtration efficiency on the O2 consumption during seawater infiltration into the permeable sands of beach aquifers.
The total carbon (TC), total organic carbon (TOC), and total sulfur (TS) were determined using a LECO CS-230 system (Laboratory Equipment Corporation). Samples were heated up to 2000 °C under an oxygen atmosphere and an infrared detector subsequently measured the amount of produced CO₂ and SO₂. TOC was measured the same way after removing inorganic carbonates using 10 % HCl solution at 80 °C. Rock-Eval Pyrolyses were performed on a Rock-Eval-6 analyser (Vinci Technologies) using up to 180 mg initial sample material and a standard program (Espitalié et al., 1977; Lafargue et al., 1998), starting isothermal with 300°C for 3 min, succeeded by a heating rate of 25°C/min up to 650°C. Standard deviations for hydrogen indices (HI) and Tmax values are ± 5 % and ± 2°C, respectively.
The total carbon (TC), total organic carbon (TOC), and total sulfur (TS) were determined using a LECO CS-230 system (Laboratory Equipment Corporation). Samples were heated up to 2000 °C under an oxygen atmosphere and an infrared detector subsequently measured the amount of produced CO₂ and SO₂. TOC was measured the same way after removing inorganic carbonates using 10 % HCl solution at 80 °C. Rock-Eval Pyrolyses were performed on a Rock-Eval-6 analyser (Vinci Technologies) using up to 180 mg initial sample material and a standard program (Espitalié et al., 1977; Lafargue et al., 1998), starting isothermal with 300°C for 3 min, succeeded by a heating rate of 25°C/min up to 650°C. Standard deviations for hydrogen indices (HI) and Tmax values are ± 5 % and ± 2°C, respectively.
This dataset contains carbonate chemistry speciation data of the 2023 KOSMOS mesocosm study on Helgoland, Germany. This study tested the effects of ocean alkalinity enhancement simulating lime additions on pelagic ecosystem functioning during a spring bloom. Carbonate chemistry speciation (fCO2, pHT, calcium carbonate saturation state) was generally calculated from measurements of total alkalinity (TA) and dissolved inorganic carbon (DIC) in depth-integrated water samples. There were 12 mesocosms in total and in 6 of them an alkalinity gradient of up to +1250 umol/kg was established in steps of 250 umol/kg. In the remaining 6 the same amount of alkalinity was added only to the upper portion of the mesocosms, resulting in twice the alkalinity increase there, before being mixed in after 48 hours. The two treatments simulated the immediate dilution of TA after ship deployment as well as a delayed one from a point source.
Anlässlich des 100. Geburtstags vom Hamburger Stadtpark und Altonaer Volkspark werden für beide Parks Informationen zu Service-Einrichtungen und Sehenswürdigkeiten im Park dargeboten. Dazu zählen zum einen die Standorte von Restaurants, Minigolfanlagen, StadtRAD-Stationen, Grillwiese, öffentliche Toilette etc., zum anderen Standorte von Sehenswürdigkeiten und Kunstskulpturen. Hinweis: Im Datensatz verlinkte Fotos unterliegen nicht der Veröffentlichungspflicht nach Hamburgischem Transparenzgesetz und sind nicht Teil der freien Lizenz. Weitere Informationen: https://www.hamburg.de/politik-und-verwaltung/behoerden/bukea/themen/hamburgs-gruen/parkanlagen/hamburgs-parkanlagen-52270
This dataset provides information on soil chemistry and soil bulk density as part of the Grassworks project, which investigates the restoration of species-rich grasslands in Germany. Grasslands are globally threatened ecosystems, and the project aims to identify factors that contribute to successful restoration, focusing on ecological complexity and stakeholder engagement. Data was collected from 187 grassland sites across three regions in North, Central, and South Germany, each with distinct socio-economic and ecological characteristics. Sampling occurred between 2022 and 2023 and included 40–41 restored grassland sites and 20–25 reference sites (10–12 positive, 10–13 negative) per region. At each site in March or early April at each vegetation plot, we took soil samples (pooled from six soil cores, 20 mm diameter) that were further pooled into one sample per site and analyzed for total soil organic carbon (SOC), total nitrogen content, pH, and soil texture as well as microbial biomass (carbon based). Additionally, soil bulk density was measured at vegetation plots per site, to enable future assessment of carbon sequestration over time. Soil and bulk density samples were taken at two depths: 0–10 and 10–30 cm.
Die Daten der Verkehrsnetze für das Hamburger Stadtgebiet werden von diesem WebMapService (WMS) dargestellt. Die Daten zu Verkehrsnetzen auf der Basis von ATKIS werden vom Landesbetrieb Geoinformation und Vermessung gepflegt, die Straßendaten aus der HH-SIB von der Behörde für Wirtschaft. Zur genaueren Beschreibung der Daten und Datenverantwortung nutzen Sie bitte den Verweis zur Datensatzbeschreibung.
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