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We use a novel sea-ice lead climatology for the winters of 2002/03 to 2020/21 based on satellite observations with 1 km2 spatial resolution to identify predominant patterns in Arctic wintertime sea-ice leads. The causes for the observed spatial and temporal variabilities are investigated using ocean surface current velocities and eddy kinetic energies from an ocean model (Finite Element Sea Ice–Ice-Shelf–Ocean Model, FESOM) and winds from a regional climate model (CCLM) and ERA5 reanalysis, respectively. The presented investigation provides evidence for an influence of ocean bathymetry and associated currents on the mechanic weakening of sea ice and the accompanying occurrence of sea-ice leads with their characteristic spatial patterns. While the driving mechanisms for this observation are not yet understood in detail, the presented results can contribute to opening new hypotheses on ocean–sea-ice interactions. The individual contribution of ocean and atmosphere to regional lead dynamics is complex, and a deeper insight requires detailed mechanistic investigations in combination with considerations of coastal geometries. While the ocean influence on lead dynamics seems to act on a rather long-term scale (seasonal to interannual), the influence of wind appears to trigger sea-ice lead dynamics on shorter timescales of weeks to months and is largely controlled by individual events causing increased divergence. No significant pan-Arctic trends in wintertime leads can be observed.
The microbial enzyme alkaline phosphatase contributes to the removal of organic phosphorus compounds from wastewaters. To cope with regulatory threshold values for permitted maximum phosphor concentrations in treated wastewaters, a high activity of this enzyme in the biological treatment stage, e.g., the activated sludge process, is required. To investigate the reaction dynamics of this enzyme, to analyze substrate selectivities, and to identify potential inhibitors, the determination of enzyme kinetics is necessary. A method based on the application of the synthetic fluorogenic substrate 4-methylumbelliferyl phosphate is proven for soils, but not for activated sludges. Here, we adapt this procedure to the latter. The adapted method offers the additional benefit to determine inhibition kinetics. In contrast to conventional photometric assays, no particle removal, e.g., of sludge pellets, is required enabling the analysis of the whole sludge suspension as well as of specific sludge fractions. The high sensitivity of fluorescence detection allows the selection of a wide substrate concentration range for sound modeling of kinetic functions.
- Fluorescence array technique for fast and sensitive analysis of high sample numbers
- No need for particle separation – analysis of the whole (diluted) sludge suspension
- Simultaneous determination of standard and inhibition kinetics
Redox-driven biogeochemical cycling of iron plays an integral role in the complex process network of ecosystems, such as carbon cycling, the fate of nutrients and greenhouse gas emissions. We investigate Fe-(hydr)oxide (trans)formation pathways from rhyolitic tephra in acidic topsoils of South Patagonian Andosols to evaluate the ecological relevance of terrestrial iron cycling for this sensitive fjord ecosystem. Using bulk geochemical analyses combined with micrometer-scale-measurements on individual soil aggregates and tephra pumice, we document biotic and abiotic pathways of Fe released from the glassy tephra matrix and titanomagnetite phenocrysts. During successive redox cycles that are controlled by frequent hydrological perturbations under hyper-humid climate, (trans)formations of ferrihydrite-organic matter coprecipitates, maghemite and hematite are closely linked to tephra weathering and organic matter turnover. These Fe-(hydr)oxides nucleate after glass dissolution and complexation with organic ligands, through maghemitization or dissolution-(re)crystallization processes from metastable precursors. Ultimately, hematite represents the most thermodynamically stable Fe-(hydr)oxide formed under these conditions and physically accumulates at redox interfaces, whereas the ferrihydrite coprecipitates represent a so far underappreciated terrestrial source of bio-available iron for fjord bioproductivity. The insights into Fe-(hydr)oxide (trans)formation in Andosols have implications for a better understanding of biogeochemical cycling of iron in this unique Patagonian fjord ecosystem.
Regional climate models are a valuable tool for the study of the climate processes and climate change in polar regions, but the performance of the models has to be evaluated using experimental data. The regional climate model CCLM was used for simulations for the MOSAiC period with a horizontal resolution of 14 km (whole Arctic). CCLM was used in a forecast mode (nested in ERA5) and used a thermodynamic sea ice model. Sea ice concentration was taken from AMSR2 data (C15 run) and from a high-resolution data set (1 km) derived from MODIS data (C15MOD0 run). The model was evaluated using radiosonde data and data of different profiling systems with a focus on the winter period (November–April). The comparison with radiosonde data showed very good agreement for temperature, humidity, and wind. A cold bias was present in the ABL for November and December, which was smaller for the C15MOD0 run. In contrast, there was a warm bias for lower levels in March and April, which was smaller for the C15 run. The effects of different sea ice parameterizations were limited to heights below 300 m. High-resolution lidar and radar wind profiles as well as temperature and integrated water vapor (IWV) data from microwave radiometers were used for the comparison with CCLM for case studies, which included low-level jets. LIDAR wind profiles have many gaps, but represent a valuable data set for model evaluation. Comparisons with IWV and temperature data of microwave radiometers show very good agreement.
Influence of Ozone and Drought on Tree Growth under Field Conditions in a 22 Year Time Series
(2022)
Studying the effect of surface ozone (O3) and water stress on tree growth is important for planning sustainable forest management and forest ecology. In the present study, a 22-year long time series (1998–2019) on basal area increment (BAI) and fructification severity of European beech (Fagus sylvatica L.) and Norway spruce (Picea abies (L.) H.Karst.) at five forest sites in Western Germany (Rhineland Palatinate) was investigated to evaluate how it correlates with drought and stomatal O3 fluxes (PODY) with an hourly threshold of uptake (Y) to represent the detoxification capacity of trees (POD1, with Y = 1 nmol O3 m−2 s−1). Between 1998 and 2019, POD1 declined over time by on average 0.31 mmol m−2 year−1. The BAI showed no significant trend at all sites, except in Leisel where a slight decline was observed over time (−0.37 cm2 per year, p < 0.05). A random forest analysis showed that the soil water content and daytime O3 mean concentration were the best predictors of BAI at all sites. The highest mean score of fructification was observed during the dry years, while low level or no fructification was observed in most humid years. Combined effects of drought and O3 pollution mostly influence tree growth decline for European beech and Norway spruce.
Measurements of the atmospheric boundary layer (ABL) structure were performed for three years (October 2017–August 2020) at the Russian observatory “Ice Base Cape Baranova” (79.280° N, 101.620° E) using SODAR (Sound Detection And Ranging). These measurements were part of the YOPP (Year of Polar Prediction) project “Boundary layer measurements in the high Arctic” (CATS_BL) within the scope of a joint German–Russian project. In addition to SODAR-derived vertical profiles of wind speed and direction, a suite of complementary measurements at the observatory was available. ABL measurements were used for verification of the regional climate model COSMO-CLM (CCLM) with a 5 km resolution for 2017–2020. The CCLM was run with nesting in ERA5 data in a forecast mode for the measurement period. SODAR measurements were mostly limited to wind speeds <12 m/s since the signal was often lost for higher winds. The SODAR data showed a topographical channeling effect for the wind field in the lowest 100 m and some low-level jets (LLJs). The verification of the CCLM with near-surface data of the observatory showed good agreement for the wind and a negative bias for the 2 m temperature. The comparison with SODAR data showed a positive bias for the wind speed of about 1 m/s below 100 m, which increased to 1.5 m/s for higher levels. In contrast to the SODAR data, the CCLM data showed the frequent presence of LLJs associated with the topographic channeling in Shokalsky Strait. Although SODAR wind profiles are limited in range and have a lot of gaps, they represent a valuable data set for model verification. However, a full picture of the ABL structure and the climatology of channeling events could be obtained only with the model data. The climatological evaluation showed that the wind field at Cape Baranova was not only influenced by direct topographic channeling under conditions of southerly winds through the Shokalsky Strait but also by channeling through a mountain gap for westerly winds. LLJs were detected in 37% of all profiles and most LLJs were associated with channeling, particularly LLJs with a jet speed ≥ 15 m/s (which were 29% of all LLJs). The analysis of the simulated 10 m wind field showed that the 99%-tile of the wind speed reached 18 m/s and clearly showed a dipole structure of channeled wind at both exits of Shokalsky Strait. The climatology of channeling events showed that this dipole structure was caused by the frequent occurrence of channeling at both exits. Channeling events lasting at least 12 h occurred on about 62 days per year at both exits of Shokalsky Strait.
Anpassung an den Klimawandel stellt eine komplexe gesellschaftliche Herausforderung dar und hat Bezug zu steuerungstheoretischen Fragen um Governance. Klimaanpassung zeichnet sich aus durch die Zusammenarbeit staatlicher und nicht-staatlicher Akteure, netzwerkartige Strukturen, flexible Steuerungsmechanismen sowie formelle und informelle Koordinationsstrukturen. Für die erfolgreiche Gestaltung von Klimaanpassungspolitik müssen vielfältige Akteurs- und Interessenskonstellationen berücksichtigt werden.
Ziel der vorliegenden Studie ist es, das Traben-Trarbacher Akteurs- und Stakeholdernetzwerk aus Perspektive der Klimaanpassung zu analysieren. Ein besonderer Fokus liegt hierbei auf den regionalwirtschaftlich bedeutenden Sektoren Weinbau und Tourismus, die integriert und im Kontext von kommunalen, regionalen und überregionalen Strukturen betrachtet werden. Im Rahmen der Analyse wurden das Beziehungsgeflecht, die Reichweite und Diversität des Netzwerks sowie die Zusammensetzung der Akteurslandschaft dargestellt. Darüber hinaus konnten wichtige Schlüsselakteure, potenzielle Multiplikatoren, Interdependenzen zwischen Weinbau und Tourismus sowie Informations- und Wissensquellen identifiziert werden.
Die Ergebnisse der Stakeholderanalyse geben wichtige Hinweise darauf, welche Akteure in Steuerungsprozesse von Klimaanpassung einbezogen und welche lokalen Gegebenheiten und Beziehungen hierbei berücksichtig werden müssen. Besonders die Zusammensetzung der Akteure hat entscheidenden Einfluss auf den Verlauf und Erfolg der Steuerung von Klimaanpassung. Die vorliegende Stakeholderanalyse schafft also eine wichtige Grundlage zur Etablierung eines Governance-Netzwerks für die Erarbeitung und Erprobung von Klimawandelanpassungsmaßnahmen in Traben-Trarbach und der Moselregion. Damit dient die Analyse der langfristigen Verankerung von Klimaanpassung in der Region und kann auch als Anregung für weitere Kommunen genutzt werden, die vor ähnlichen Herausforderungen stehen wie Traben-Trarbach.
Dieser Maßnahmenkatalog stellt Anpassungsoptionen für den Weinbau an der Mittelmosel vor. Die gemeinsam mit lokalen Akteur*innen erarbeiteten Maßnahmen zielen erstens darauf ab, konkrete Handlungsoptionen zur Anpassung des Weinbaus an den Klimawandel aufzuzeigen. Zweitens sollen durch strukturelle Maßnahmen bestehende regionalspezifische Herausforderungen adressiert und die generellen Anpassungskapazitäten der Akteur*innen an der Mittelmosel gestärkt werden.
Anpassung an den Klimawandel ist eine Zukunftsaufgabe. Auch für den Tourismussektor in der Moselregion.
Der vorliegende Bericht gibt einen Überblick zu den Chancen und Risiken, die im Rahmen des Klimawandels für den Weintourismus an der Mittelmosel entstehen. Mit Hilfe einer SWOT-Analyse wurden am Beispiel der im Projekt Mosel-AdapTiV kooperierenden Kommune Tra-ben-Trarbach exemplarisch die Auswirkungen für eine Vielzahl traditioneller Weinbauorte an der Mittelmosel untersucht.
Als touristische Destination ist die Region Mittelmosel von vielfältigen Auswirkungen des Klimawandels betroffen. Eine Verschiebung der Vegetationsperioden, Extremereignisse wie Starkregen oder Hitzeperioden werden das Leben und Wirtschaften in der Region grundlegend verändern. Diese Klimawirkfolgen treffen mit weiteren regionalökonomischen, soziokulturellen und umweltbezogenen Veränderungen zusammen. Daraus gehen Risiken und zum Teil auch Chancen für den Weintourismus und dessen Vermarktung einher. Wie wir in der Studie zeigen, sind Chancen (beispielsweise durch die Verlängerung der Sommersaison durch veränderte Mitteltemperaturen) aber häufig mit Risiken verbunden (beispielsweise für die identitätsstiftende Weinkulturlandschaft und den beliebten charakteristischen Riesling). Beide Aspekte, die Chancen sowie die Risiken zu untersuchen, ist Gegenstand der SWOT Analyse. Sie hat das Ziel, lokale und regionale Akteure des Tourismus sowie der Stadt- und Regio-nalentwicklung zu sensibilisieren und zu informieren und dazu anzuregen, geeignete Anpas-sungsstrategien zu entwickeln.
Anpassung an die Auswirkungen des Klimawandels bedeutet, sich mit den Folgen zu befassen, Risiken in verschiedenen Sektoren und Handlungsfeldern zu minimieren und sich auf veränderte klimatische Bedingungen in der Zukunft einzustellen. Im Rahmen dessen sollten kon-krete Anpassungsmaßnahmen entwickelt und implementiert werden. Dieser Bericht enthält erste Handlungsempfehlungen. Sie setzen bei der touristischen Vermarktung an, um Chancen wie verlängerte Wärmeperioden oder ein erweitertes Angebotsportfolio nutzen zu können. Zum Minimieren von Risiken empfehlen sich Ansätze wie die Sensibilisierung und Information der Akteur*innen, sowie konkrete Maßnahmen, bspw. zur Reduktion von Hitzestress. Diese Handlungsempfehlungen sollen nicht zuletzt den Akteur*innen vor Ort als Leitfaden zur Kli-mawandelanpassung im Traben-Trarbacher (Wein-)Tourismus dienen. Die Erkenntnisse dieses Berichts dienen als entsprechende Grundlage.
Dieser Bericht basiert auf einer Auswertung relevanter Literatur, der Analyse örtlicher und überregionaler Tourismuskonzepte sowie mehreren qualitativen Interviews mit Akteur*innen vor Ort. Er bildet eine Basis für die weitere Projektarbeit und soll dabei helfen, sektorenübergreifende, langfristige und ganzheitliche Anpassungsstrategien zu entwickeln.
A model-based temperature adjustment scheme for wintertime sea-ice production retrievals from MODIS
(2022)
Knowledge of the wintertime sea-ice production in Arctic polynyas is an important requirement for estimations of the dense water formation, which drives vertical mixing in the upper ocean. Satellite-based techniques incorporating relatively high resolution thermal-infrared data from MODIS in combination with atmospheric reanalysis data have proven to be a strong tool to monitor large and regularly forming polynyas and to resolve narrow thin-ice areas (i.e., leads) along the shelf-breaks and across the entire Arctic Ocean. However, the selection of the atmospheric data sets has a large influence on derived polynya characteristics due to their impact on the calculation of the heat loss to the atmosphere, which is determined by the local thin-ice thickness. In order to overcome this methodical ambiguity, we present a MODIS-assisted temperature adjustment (MATA) algorithm that yields corrections of the 2 m air temperature and hence decreases differences between the atmospheric input data sets. The adjustment algorithm is based on atmospheric model simulations. We focus on the Laptev Sea region for detailed case studies on the developed algorithm and present time series of polynya characteristics in the winter season 2019/2020. It shows that the application of the empirically derived correction decreases the difference between different utilized atmospheric products significantly from 49% to 23%. Additional filter strategies are applied that aim at increasing the capability to include leads in the quasi-daily and persistence-filtered thin-ice thickness composites. More generally, the winter of 2019/2020 features high polynya activity in the eastern Arctic and less activity in the Canadian Arctic Archipelago, presumably as a result of the particularly strong polar vortex in early 2020.
