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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: H. Goelzer; H. Goelzer; H. Goelzer; S. Nowicki; +49 Authors

    Abstract. The Greenland ice sheet is one of the largest contributors to global meansea-level rise today and is expected to continue to lose mass as the Arcticcontinues to warm. The two predominant mass loss mechanisms are increasedsurface meltwater run-off and mass loss associated with the retreat ofmarine-terminating outlet glaciers. In this paper we use a large ensemble ofGreenland ice sheet models forced by output from a representative subset ofthe Coupled Model Intercomparison Project (CMIP5) global climate models to project ice sheet changes and sea-level risecontributions over the 21st century. The simulations are part of theIce Sheet Model Intercomparison Project for CMIP6 (ISMIP6). We estimate thesea-level contribution together with uncertainties due to future climateforcing, ice sheet model formulations and ocean forcing for the twogreenhouse gas concentration scenarios RCP8.5 and RCP2.6. The resultsindicate that the Greenland ice sheet will continue to lose mass in bothscenarios until 2100, with contributions of 90±50 and 32±17 mm to sea-level rise for RCP8.5 and RCP2.6, respectively. The largestmass loss is expected from the south-west of Greenland, which is governed bysurface mass balance changes, continuing what is already observed today.Because the contributions are calculated against an unforced controlexperiment, these numbers do not include any committed mass loss, i.e. massloss that would occur over the coming century if the climate forcingremained constant. Under RCP8.5 forcing, ice sheet model uncertaintyexplains an ensemble spread of 40 mm, while climate model uncertainty andocean forcing uncertainty account for a spread of 36 and 19 mm,respectively. Apart from those formally derived uncertainty ranges, thelargest gap in our knowledge is about the physical understanding andimplementation of the calving process, i.e. the interaction of the ice sheetwith the ocean. info:eu-repo/semantics/published

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Mémoires en Sciences...arrow_drop_down
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    DI-fusion
    Article . 2020 . Peer-reviewed
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    St Andrews Research Repository
    Article . 2020 . Peer-reviewed
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    The Cryosphere
    Article . 2020
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    The Cryosphere (TC)
    Article . 2020
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    https://doi.org/10.5194/tc-201...
    Preprint . 2020
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    https://epic.awi.de/id/eprint/...
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    DOAJ
    Article . 2020
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    The Cryosphere; The Cryosphere (TC)
    Article . Preprint . 2020
    License: CC BY
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    Copernicus Publications
    Other literature type . 2020
    https://doi.org/10.5194/egusph...
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Mémoires en Sciences...arrow_drop_down
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      DI-fusion
      Article . 2020 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      St Andrews Research Repository
      Article . 2020 . Peer-reviewed
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      The Cryosphere
      Article . 2020
      Data sources: NARCIS
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      The Cryosphere (TC)
      Article . 2020
      Data sources: JAIRO
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      https://doi.org/10.5194/tc-201...
      Preprint . 2020
      License: CC BY
      Data sources: Crossref
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      https://epic.awi.de/id/eprint/...
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      DOAJ
      Article . 2020
      Data sources: DOAJ
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      The Cryosphere; The Cryosphere (TC)
      Article . Preprint . 2020
      License: CC BY
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      Copernicus Publications
      Other literature type . 2020
      https://doi.org/10.5194/egusph...
      Other literature type . 2020
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Georgios Mylonas; Lidia Pocero Fraile; Stelios Tsampas; Athanasios Kalogeras;

    Monitoring noise pollution in urban areas in a more systematic manner has been gaining traction as a theme among the research community, especially with the rise of smart cities and the IoT. However, although it affects our everyday life in a profound way, monitoring indoor noise levels inside workplaces and public buildings has so far grabbed less of our attention. In this work, we report on noise levels data produced by an IoT infrastructure installed inside 5 school buildings in Greece. Our results indicate that such data can help to produce a more accurate picture of the conditions that students and educators experience every day, and also provide useful insights in terms of health risks and aural comfort. Preprint submitted to the WSACC 2023 workshop, organized in the scope of the 9th IEEE International Smart Cities Conference 2023

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    arXiv.org e-Print Archive
    Other literature type . Preprint . 2023
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    https://doi.org/10.1109/isc257...
    Conference object . 2023 . Peer-reviewed
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    https://doi.org/10.48550/arxiv...
    Article . 2023
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      arXiv.org e-Print Archive
      Other literature type . Preprint . 2023
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      https://doi.org/10.1109/isc257...
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    Authors: Lea-Anne Henry; J. Moreno Navas; J. M. Roberts;

    Abstract. We investigated how the interactive effects of hydrography, topography and intrinsic community dynamics influence the assembly of species and functional traits across multiple spatial scales of a cold-water coral reef seascape. In a novel approach for these ecosystems, we use a spatially resolved complex three-dimensional flow model of hydrography to help explain assembly patterns. Forward selection of distance-based Moran's eigenvector mapping (dbMEM) variables identified two submodels of spatial scales at which communities are structured: broad-scale (across reef) and fine-scale (within reef). Canonical variance partitioning revealed broad-scale structures created mainly by variability in bathymetry and hydrography across reefs, which manifest as relatively narrow environmental niches for predators and scavenging detritivores. Fine-scale assembly was related more to processes that create spatially autocorrelated patches of fauna within a reef due to restricted dispersal in sessile fauna but social mating interactions and food supply in more mobile organisms. Our study implies that perturbations such as habitat fragmentation and altered hydrodynamic regimes have the potential to induce significant changes in the structure and function of cold-water coral reef ecosystems at spatial scales that span the entire seascape.

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    Biogeosciences
    Article . 2013
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    Biogeosciences
    Article . 2013 . Peer-reviewed
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    DOAJ
    Article . 2013
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    Biogeosciences
    Article . Preprint
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    https://doi.org/10.5194/bgd-9-...
    Preprint . 2012
    License: CC BY
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      https://doi.org/10.5194/bgd-9-...
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  • Authors: Georgios Argitis; Trevor Evans; Jo Michell; Jan Toporowski;

    Most mainstream neoclassical economists completely failed to anticipate the crisis which broke in 2007 and 2008. There is however a long tradition of economic analysis which emphasises how growth in a capitalist economy leads to an accumulation of tensions and results in periodic crises. This paper first reviews the work of Karl Marx who was one of the first writers to incorporate an analysis of periodic crisis in his analysis of capitalist accumulation. The paper then considers the approach of various subsequent Marxian writers, most of whom locate periodic cyclical crises within the framework of longer-term phases of capitalist development, the most recent of which is generally seen as having begun in the 1980s. The paper also looks at the analyses of Thorstein Veblen and Wesley Claire Mitchell, two US institutionalist economists who stressed the role of finance and its contribution to generating periodic crises, and the Italian Circuitist writers who stress the problematic challenge of ensuring that bank advances to productive enterprises can successfully be repaid.

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    Authors: Filippo Arfini; Federico Antonioli; Elena Cozzi; Michele Donati; +3 Authors

    Sustainability is becoming a pivotal guide for driving the governance strategies of value chains. Sustainable policy should have as its objective the perpetuation of production models over time to maintain its environmental, economic and social dimensions. Therefore, measuring the sustainability of a production system is fundamental to deepening the understanding of ongoing trends, considering the pressure exerted by agricultural policies, market dynamics and innovations introduced in the production system. The purpose of this paper is to present a holistic framework for assessing the sustainability of food quality schemes (FQS), including the role of both stakeholders within the value chain, and the territorial dimension. This paper discusses the use of dimensional indicators and proposes synthetic indexes to provide an overall picture of the evolution of sustainability of a specific production system. Particularly, the evolution of sustainability in the Parmigiano Reggiano Protected Designation of Origin (PDO) production system is evaluated over the period 2000-2018. It is assumed that its evolution is due to the effect of 20 years of innovations which have impacted on product quality, value chain performance and rural development, modifying the sustainability of the whole production system.

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    https://doi.org/10.20944/prepr...
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      https://doi.org/10.20944/prepr...
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    Authors: I. S. Panagea; A. Apostolakis; A. Berti; J. Bussell; +11 Authors

    Inversion tillage is a commonly applied soil cultivation practice in Europe, which often has been blamed for deteriorating topsoil stability and organic carbon (OC) content. In this study, the potential to reverse these negative effects in the topsoil by alternative agricultural management practices are evaluated in seven long-term experiments (running from 8 to 54 years the moment of sampling) in five European countries (Belgium, Czech Republic, Hungary, Italy and UK). Topsoil samples (0–15 cm) were collected and analysed to evaluate the effects of conservation tillage (reduced and no tillage) and increased organic inputs of different origin (farmyard manure, compost, crop residues) combined with inversion tillage on topsoil stability, soil aggregates and, within these, OC distribution using wet sieving after slaking. Effects from the treatments on the two main components of organic matter, i.e. particulate (POM) and mineral associated (MAOM), were also evaluated using dispersion and size fractionation. Reduced and no-tillage practices, as well as the additions of manure or compost, increased the aggregates mean weight diameter (MWD) (up to 49 % at the Belgian study site) and topsoil OC (up to 51 % at the Belgian study site), as well as the OC corresponding to the different aggregate size fractions. The incorporation of crop residues had a positive impact on the MWD but a less profound effect both on total OC and on OC associated with the different aggregates. A negative relationship between the mass and the OC content of the microaggregates (53–250 µm) was identified in all experiments. There was no effect on the mass of the macroaggregates and the occluded microaggregates (mM) within these macroaggregates, while the corresponding OC contents increased with less tillage and more organic inputs. Inversion tillage led to less POM within the mM, whereas the different organic inputs did not affect it. In all experiments where the total POM increased, the total soil organic carbon (SOC) was also affected positively. We concluded that the negative effects of inversion tillage on topsoil can be mitigated by reducing the tillage intensity or adding organic materials, optimally combined with non-inversion tillage methods. ispartof: Soil vol:8 issue:2 pages:621-644 status: Published online

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    https://doi.org/10.5194/soil-2...
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    Authors: Athina-Cerise Kalogridis; Stergios Vratolis; Eleni Liakakou; Evangelos Gerasopoulos; +2 Authors

    The scope of this study was to estimate the contribution of fossil fuel and wood burning combustion to black carbon (BC) and carbon monoxide (CO) during wintertime, in Athens. For that purpose, in situ measurements of equivalent black carbon (eBC) and CO were simultaneously conducted in a suburban and an urban background monitoring site in Athens during the 3 months of winter 2014–2015. For the deconvolution of eBC into eBC emitted from fossil fuel (BCff) and wood burning (BCwb), a method based on the spectral dependency of the absorption of pure black carbon and brown carbon was used. Thereafter, BCwb and BCff estimated fractions were used along with measured CO concentrations in a multiple regression analysis, in order to quantify the contribution of each one of the combustion sources to the ambient CO levels. For a comparative analysis of the results, we additionally estimated the wood burning and fossil fuel contribution to CO, calculated on the basis of their CO ∕ NOx emission ratios. The results indicate that during wintertime BC and CO are mainly emitted by local sources within the Athens Metropolitan Area (AMA). Fossil fuel combustion, mainly from road traffic, is found to be the major contributor to both eBC in PM2.5 and CO ambient concentrations in AMA. However, wintertime wood burning makes a significant contribution to the observed eBC (of about 30 %) and CO concentrations (on average, 11 and 16 % of total CO in the suburban and urban background sites respectively). Both BC and CO from biomass burning (BCwb and COwb, respectively) present a clear diurnal pattern, with the highest concentrations during night-time, supporting the theory of local domestic heating being their main source.

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    Atmospheric Chemistry and Physics (ACP)
    Article . 2018 . Peer-reviewed
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      Atmospheric Chemistry and Physics (ACP)
      Article . 2018 . Peer-reviewed
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      DOAJ
      Article . 2018
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      Copernicus Publications
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    Authors: M. Zaniolo; M. Giuliani; A. F. Castelletti; A. F. Castelletti; +1 Authors

    Socio-economic costs of drought are progressively increasing worldwide due to undergoing alterations of hydro-meteorological regimes induced by climate change. Although drought management is largely studied in the literature, traditional drought indexes often fail at detecting critical events in highly regulated systems, where natural water availability is conditioned by the operation of water infrastructures such as dams, diversions, and pumping wells. Here, ad hoc index formulations are usually adopted based on empirical combinations of several, supposed-to-be significant, hydro-meteorological variables. These customized formulations, however, while effective in the design basin, can hardly be generalized and transferred to different contexts. In this study, we contribute FRIDA (FRamework for Index-based Drought Analysis), a novel framework for the automatic design of basin-customized drought indexes. In contrast to ad hoc empirical approaches, FRIDA is fully automated, generalizable, and portable across different basins. FRIDA builds an index representing a surrogate of the drought conditions of the basin, computed by combining all the relevant available information about the water circulating in the system identified by means of a feature extraction algorithm. We used the Wrapper for Quasi-Equally Informative Subset Selection (W-QEISS), which features a multi-objective evolutionary algorithm to find Pareto-efficient subsets of variables by maximizing the wrapper accuracy, minimizing the number of selected variables, and optimizing relevance and redundancy of the subset. The preferred variable subset is selected among the efficient solutions and used to formulate the final index according to alternative model structures. We apply FRIDA to the case study of the Jucar river basin (Spain), a drought-prone and highly regulated Mediterranean water resource system, where an advanced drought management plan relying on the formulation of an ad hoc "state index" is used for triggering drought management measures. The state index was constructed empirically with a trial-and-error process begun in the 1980s and finalized in 2007, guided by the experts from the Confederación Hidrográfica del Júcar (CHJ). Our results show that the automated variable selection outcomes align with CHJ's 25-year-long empirical refinement. In addition, the resultant FRIDA index outperforms the official State Index in terms of accuracy in reproducing the target variable and cardinality of the selected inputs set. Hydrology and Earth System Sciences, 22 (4) ISSN:1027-5606 ISSN:1607-7938

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    Research Collection
    Article . 2018
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    https://doi.org/10.5194/hess-2...
    Preprint . 2017
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    RiuNet
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    Hydrology and Earth System Sciences (HESS)
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    Copernicus Publications
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    ETH Zürich Research Collection
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      https://doi.org/10.5194/hess-2...
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      Hydrology and Earth System Sciences (HESS)
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    Authors: Wang, Z. B.; Su, H.; Wang, X.; Ma, N.; +3 Authors

    Abstract. Chemical composition is essential for understanding the formation and evolution of atmospheric aerosol particles. Due to analytical limitations, however, relatively little information is available for sub-10 nm particles. We present the design of a nano-cloud condensation nuclei counter (nano-CCNC) for measuring size-resolved hygroscopicity and inferring chemical composition of sub-10 nm aerosol particles. We extend the use of counting efficiency spectra from a water-based condensation particle counter (CPC) and link it to the analysis of CCN activation spectra, which provides a theoretical basis for the application of a scanning supersaturation CPC (SS-CPC) as a nano-CCNC. Measurement procedures and data analysis methods are demonstrated through laboratory experiments with monodisperse particles of diameter down to 2.5 nm, where sodium chloride, ammonium sulfate, sucrose and tungsten oxide can be easily discriminated by different characteristic supersaturations of water droplet formation. The design is not limited to the water CPC, but also applies to CPCs with other working fluids (e.g. butanol, perfluorotributylamine). We suggest that a combination of SS-CPCs with multiple working fluids may provide further insight into the chemical composition of nanoparticles and the role of organic and inorganic compounds in the initial steps of atmospheric new particle formation and growth.

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    https://www.atmos-meas-tech.ne...
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    Authors: Andreas Wunsch; Tanja Liesch; Guillaume Cinkus; Nataša Ravbar; +4 Authors

    Despite many existing approaches, modeling karst water resources remains challenging as conventional approaches usually heavily rely on distinct system knowledge. Artificial neural networks (ANNs), however, require only little prior knowledge to automatically establish an input-output relationship. For ANN modeling in karst, the temporal and spatial data availability is often an important constraint, as usually no or few climate stations are located within or near karst spring catchments. Hence, spatial coverage is often not satisfactory and can result in substantial uncertainties about the true conditions in the catchment, leading to lower model performance. To overcome these problems, we apply convolutional neural networks (CNNs) to simulate karst spring discharge and to directly learn from spatially distributed climate input data (combined 2D-1D CNNs). We investigate three karst spring catchments in the Alpine and Mediterranean region with different meteorological-hydrological characteristics and hydrodynamic system properties. We compare the proposed approach both to existing modeling studies in these regions and to our own 1D CNN models that are conventionally trained with climate station input data. Our results show that all the models are excellently suited to modeling karst spring discharge (NSE: 0.73-0.87, KGE: 0.63-0.86) and can compete with the simulation results of existing approaches in the respective areas. The 2D models show a better fit than the 1D models in two of three cases and automatically learn to focus on the relevant areas of the input domain. By performing a spatial input sensitivity analysis, we can further show their usefulness in localizing the position of karst catchments. International audience

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    https://doi.org/10.5194/hess-2...
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    https://doi.org/10.5445/ir/100...
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    https://doi.org/10.5194/egusph...
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      KITopen
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      https://doi.org/10.5445/ir/100...
      Article . 2022
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: H. Goelzer; H. Goelzer; H. Goelzer; S. Nowicki; +49 Authors

    Abstract. The Greenland ice sheet is one of the largest contributors to global meansea-level rise today and is expected to continue to lose mass as the Arcticcontinues to warm. The two predominant mass loss mechanisms are increasedsurface meltwater run-off and mass loss associated with the retreat ofmarine-terminating outlet glaciers. In this paper we use a large ensemble ofGreenland ice sheet models forced by output from a representative subset ofthe Coupled Model Intercomparison Project (CMIP5) global climate models to project ice sheet changes and sea-level risecontributions over the 21st century. The simulations are part of theIce Sheet Model Intercomparison Project for CMIP6 (ISMIP6). We estimate thesea-level contribution together with uncertainties due to future climateforcing, ice sheet model formulations and ocean forcing for the twogreenhouse gas concentration scenarios RCP8.5 and RCP2.6. The resultsindicate that the Greenland ice sheet will continue to lose mass in bothscenarios until 2100, with contributions of 90±50 and 32±17 mm to sea-level rise for RCP8.5 and RCP2.6, respectively. The largestmass loss is expected from the south-west of Greenland, which is governed bysurface mass balance changes, continuing what is already observed today.Because the contributions are calculated against an unforced controlexperiment, these numbers do not include any committed mass loss, i.e. massloss that would occur over the coming century if the climate forcingremained constant. Under RCP8.5 forcing, ice sheet model uncertaintyexplains an ensemble spread of 40 mm, while climate model uncertainty andocean forcing uncertainty account for a spread of 36 and 19 mm,respectively. Apart from those formally derived uncertainty ranges, thelargest gap in our knowledge is about the physical understanding andimplementation of the calving process, i.e. the interaction of the ice sheetwith the ocean. info:eu-repo/semantics/published

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    DI-fusion
    Article . 2020 . Peer-reviewed
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    St Andrews Research Repository
    Article . 2020 . Peer-reviewed
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    The Cryosphere
    Article . 2020
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    The Cryosphere (TC)
    Article . 2020
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    https://doi.org/10.5194/tc-201...
    Preprint . 2020
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    https://epic.awi.de/id/eprint/...
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    DOAJ
    Article . 2020
    Data sources: DOAJ
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    The Cryosphere; The Cryosphere (TC)
    Article . Preprint . 2020
    License: CC BY
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    Copernicus Publications
    Other literature type . 2020
    https://doi.org/10.5194/egusph...
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    Access Routes
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      DI-fusion
      Article . 2020 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      St Andrews Research Repository
      Article . 2020 . Peer-reviewed
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      The Cryosphere
      Article . 2020
      Data sources: NARCIS
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      The Cryosphere (TC)
      Article . 2020
      Data sources: JAIRO
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      https://doi.org/10.5194/tc-201...
      Preprint . 2020
      License: CC BY
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      https://epic.awi.de/id/eprint/...
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      DOAJ
      Article . 2020
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      The Cryosphere; The Cryosphere (TC)
      Article . Preprint . 2020
      License: CC BY
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      Copernicus Publications
      Other literature type . 2020
      https://doi.org/10.5194/egusph...
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Georgios Mylonas; Lidia Pocero Fraile; Stelios Tsampas; Athanasios Kalogeras;

    Monitoring noise pollution in urban areas in a more systematic manner has been gaining traction as a theme among the research community, especially with the rise of smart cities and the IoT. However, although it affects our everyday life in a profound way, monitoring indoor noise levels inside workplaces and public buildings has so far grabbed less of our attention. In this work, we report on noise levels data produced by an IoT infrastructure installed inside 5 school buildings in Greece. Our results indicate that such data can help to produce a more accurate picture of the conditions that students and educators experience every day, and also provide useful insights in terms of health risks and aural comfort. Preprint submitted to the WSACC 2023 workshop, organized in the scope of the 9th IEEE International Smart Cities Conference 2023

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    arXiv.org e-Print Archive
    Other literature type . Preprint . 2023
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    https://doi.org/10.1109/isc257...
    Conference object . 2023 . Peer-reviewed
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    https://doi.org/10.48550/arxiv...
    Article . 2023
    License: arXiv Non-Exclusive Distribution
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      Other literature type . Preprint . 2023
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      https://doi.org/10.1109/isc257...
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    Authors: Lea-Anne Henry; J. Moreno Navas; J. M. Roberts;

    Abstract. We investigated how the interactive effects of hydrography, topography and intrinsic community dynamics influence the assembly of species and functional traits across multiple spatial scales of a cold-water coral reef seascape. In a novel approach for these ecosystems, we use a spatially resolved complex three-dimensional flow model of hydrography to help explain assembly patterns. Forward selection of distance-based Moran's eigenvector mapping (dbMEM) variables identified two submodels of spatial scales at which communities are structured: broad-scale (across reef) and fine-scale (within reef). Canonical variance partitioning revealed broad-scale structures created mainly by variability in bathymetry and hydrography across reefs, which manifest as relatively narrow environmental niches for predators and scavenging detritivores. Fine-scale assembly was related more to processes that create spatially autocorrelated patches of fauna within a reef due to restricted dispersal in sessile fauna but social mating interactions and food supply in more mobile organisms. Our study implies that perturbations such as habitat fragmentation and altered hydrodynamic regimes have the potential to induce significant changes in the structure and function of cold-water coral reef ecosystems at spatial scales that span the entire seascape.

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    Biogeosciences
    Article . 2013
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    Biogeosciences
    Article . 2013 . Peer-reviewed
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    https://doi.org/10.5194/bgd-9-...
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  • Authors: Georgios Argitis; Trevor Evans; Jo Michell; Jan Toporowski;

    Most mainstream neoclassical economists completely failed to anticipate the crisis which broke in 2007 and 2008. There is however a long tradition of economic analysis which emphasises how growth in a capitalist economy leads to an accumulation of tensions and results in periodic crises. This paper first reviews the work of Karl Marx who was one of the first writers to incorporate an analysis of periodic crisis in his analysis of capitalist accumulation. The paper then considers the approach of various subsequent Marxian writers, most of whom locate periodic cyclical crises within the framework of longer-term phases of capitalist development, the most recent of which is generally seen as having begun in the 1980s. The paper also looks at the analyses of Thorstein Veblen and Wesley Claire Mitchell, two US institutionalist economists who stressed the role of finance and its contribution to generating periodic crises, and the Italian Circuitist writers who stress the problematic challenge of ensuring that bank advances to productive enterprises can successfully be repaid.

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    Authors: Filippo Arfini; Federico Antonioli; Elena Cozzi; Michele Donati; +3 Authors

    Sustainability is becoming a pivotal guide for driving the governance strategies of value chains. Sustainable policy should have as its objective the perpetuation of production models over time to maintain its environmental, economic and social dimensions. Therefore, measuring the sustainability of a production system is fundamental to deepening the understanding of ongoing trends, considering the pressure exerted by agricultural policies, market dynamics and innovations introduced in the production system. The purpose of this paper is to present a holistic framework for assessing the sustainability of food quality schemes (FQS), including the role of both stakeholders within the value chain, and the territorial dimension. This paper discusses the use of dimensional indicators and proposes synthetic indexes to provide an overall picture of the evolution of sustainability of a specific production system. Particularly, the evolution of sustainability in the Parmigiano Reggiano Protected Designation of Origin (PDO) production system is evaluated over the period 2000-2018. It is assumed that its evolution is due to the effect of 20 years of innovations which have impacted on product quality, value chain performance and rural development, modifying the sustainability of the whole production system.

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    https://doi.org/10.20944/prepr...
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      https://doi.org/10.20944/prepr...
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: I. S. Panagea; A. Apostolakis; A. Berti; J. Bussell; +11 Authors

    Inversion tillage is a commonly applied soil cultivation practice in Europe, which often has been blamed for deteriorating topsoil stability and organic carbon (OC) content. In this study, the potential to reverse these negative effects in the topsoil by alternative agricultural management practices are evaluated in seven long-term experiments (running from 8 to 54 years the moment of sampling) in five European countries (Belgium, Czech Republic, Hungary, Italy and UK). Topsoil samples (0–15 cm) were collected and analysed to evaluate the effects of conservation tillage (reduced and no tillage) and increased organic inputs of different origin (farmyard manure, compost, crop residues) combined with inversion tillage on topsoil stability, soil aggregates and, within these, OC distribution using wet sieving after slaking. Effects from the treatments on the two main components of organic matter, i.e. particulate (POM) and mineral associated (MAOM), were also evaluated using dispersion and size fractionation. Reduced and no-tillage practices, as well as the additions of manure or compost, increased the aggregates mean weight diameter (MWD) (up to 49 % at the Belgian study site) and topsoil OC (up to 51 % at the Belgian study site), as well as the OC corresponding to the different aggregate size fractions. The incorporation of crop residues had a positive impact on the MWD but a less profound effect both on total OC and on OC associated with the different aggregates. A negative relationship between the mass and the OC content of the microaggregates (53–250 µm) was identified in all experiments. There was no effect on the mass of the macroaggregates and the occluded microaggregates (mM) within these macroaggregates, while the corresponding OC contents increased with less tillage and more organic inputs. Inversion tillage led to less POM within the mM, whereas the different organic inputs did not affect it. In all experiments where the total POM increased, the total soil organic carbon (SOC) was also affected positively. We concluded that the negative effects of inversion tillage on topsoil can be mitigated by reducing the tillage intensity or adding organic materials, optimally combined with non-inversion tillage methods. ispartof: Soil vol:8 issue:2 pages:621-644 status: Published online

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    https://doi.org/10.5194/soil-2...
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    Authors: Athina-Cerise Kalogridis; Stergios Vratolis; Eleni Liakakou; Evangelos Gerasopoulos; +2 Authors

    The scope of this study was to estimate the contribution of fossil fuel and wood burning combustion to black carbon (BC) and carbon monoxide (CO) during wintertime, in Athens. For that purpose, in situ measurements of equivalent black carbon (eBC) and CO were simultaneously conducted in a suburban and an urban background monitoring site in Athens during the 3 months of winter 2014–2015. For the deconvolution of eBC into eBC emitted from fossil fuel (BCff) and wood burning (BCwb), a method based on the spectral dependency of the absorption of pure black carbon and brown carbon was used. Thereafter, BCwb and BCff estimated fractions were used along with measured CO concentrations in a multiple regression analysis, in order to quantify the contribution of each one of the combustion sources to the ambient CO levels. For a comparative analysis of the results, we additionally estimated the wood burning and fossil fuel contribution to CO, calculated on the basis of their CO ∕ NOx emission ratios. The results indicate that during wintertime BC and CO are mainly emitted by local sources within the Athens Metropolitan Area (AMA). Fossil fuel combustion, mainly from road traffic, is found to be the major contributor to both eBC in PM2.5 and CO ambient concentrations in AMA. However, wintertime wood burning makes a significant contribution to the observed eBC (of about 30 %) and CO concentrations (on average, 11 and 16 % of total CO in the suburban and urban background sites respectively). Both BC and CO from biomass burning (BCwb and COwb, respectively) present a clear diurnal pattern, with the highest concentrations during night-time, supporting the theory of local domestic heating being their main source.

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    Atmospheric Chemistry and Physics (ACP)
    Article . 2018 . Peer-reviewed
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      Atmospheric Chemistry and Physics (ACP)
      Article . 2018 . Peer-reviewed
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    Authors: M. Zaniolo; M. Giuliani; A. F. Castelletti; A. F. Castelletti; +1 Authors

    Socio-economic costs of drought are progressively increasing worldwide due to undergoing alterations of hydro-meteorological regimes induced by climate change. Although drought management is largely studied in the literature, traditional drought indexes often fail at detecting critical events in highly regulated systems, where natural water availability is conditioned by the operation of water infrastructures such as dams, diversions, and pumping wells. Here, ad hoc index formulations are usually adopted based on empirical combinations of several, supposed-to-be significant, hydro-meteorological variables. These customized formulations, however, while effective in the design basin, can hardly be generalized and transferred to different contexts. In this study, we contribute FRIDA (FRamework for Index-based Drought Analysis), a novel framework for the automatic design of basin-customized drought indexes. In contrast to ad hoc empirical approaches, FRIDA is fully automated, generalizable, and portable across different basins. FRIDA builds an index representing a surrogate of the drought conditions of the basin, computed by combining all the relevant available information about the water circulating in the system identified by means of a feature extraction algorithm. We used the Wrapper for Quasi-Equally Informative Subset Selection (W-QEISS), which features a multi-objective evolutionary algorithm to find Pareto-efficient subsets of variables by maximizing the wrapper accuracy, minimizing the number of selected variables, and optimizing relevance and redundancy of the subset. The preferred variable subset is selected among the efficient solutions and used to formulate the final index according to alternative model structures. We apply FRIDA to the case study of the Jucar river basin (Spain), a drought-prone and highly regulated Mediterranean water resource system, where an advanced drought management plan relying on the formulation of an ad hoc "state index" is used for triggering drought management measures. The state index was constructed empirically with a trial-and-error process begun in the 1980s and finalized in 2007, guided by the experts from the Confederación Hidrográfica del Júcar (CHJ). Our results show that the automated variable selection outcomes align with CHJ's 25-year-long empirical refinement. In addition, the resultant FRIDA index outperforms the official State Index in terms of accuracy in reproducing the target variable and cardinality of the selected inputs set. Hydrology and Earth System Sciences, 22 (4) ISSN:1027-5606 ISSN:1607-7938

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    Research Collection
    Article . 2018
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    https://doi.org/10.5194/hess-2...
    Preprint . 2017
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    RiuNet
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    Hydrology and Earth System Sciences (HESS)
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    ETH Zürich Research Collection
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      https://doi.org/10.5194/hess-2...
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      Hydrology and Earth System Sciences (HESS)
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    Authors: Wang, Z. B.; Su, H.; Wang, X.; Ma, N.; +3 Authors

    Abstract. Chemical composition is essential for understanding the formation and evolution of atmospheric aerosol particles. Due to analytical limitations, however, relatively little information is available for sub-10 nm particles. We present the design of a nano-cloud condensation nuclei counter (nano-CCNC) for measuring size-resolved hygroscopicity and inferring chemical composition of sub-10 nm aerosol particles. We extend the use of counting efficiency spectra from a water-based condensation particle counter (CPC) and link it to the analysis of CCN activation spectra, which provides a theoretical basis for the application of a scanning supersaturation CPC (SS-CPC) as a nano-CCNC. Measurement procedures and data analysis methods are demonstrated through laboratory experiments with monodisperse particles of diameter down to 2.5 nm, where sodium chloride, ammonium sulfate, sucrose and tungsten oxide can be easily discriminated by different characteristic supersaturations of water droplet formation. The design is not limited to the water CPC, but also applies to CPCs with other working fluids (e.g. butanol, perfluorotributylamine). We suggest that a combination of SS-CPCs with multiple working fluids may provide further insight into the chemical composition of nanoparticles and the role of organic and inorganic compounds in the initial steps of atmospheric new particle formation and growth.

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    https://www.atmos-meas-tech.ne...
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    Authors: Andreas Wunsch; Tanja Liesch; Guillaume Cinkus; Nataša Ravbar; +4 Authors

    Despite many existing approaches, modeling karst water resources remains challenging as conventional approaches usually heavily rely on distinct system knowledge. Artificial neural networks (ANNs), however, require only little prior knowledge to automatically establish an input-output relationship. For ANN modeling in karst, the temporal and spatial data availability is often an important constraint, as usually no or few climate stations are located within or near karst spring catchments. Hence, spatial coverage is often not satisfactory and can result in substantial uncertainties about the true conditions in the catchment, leading to lower model performance. To overcome these problems, we apply convolutional neural networks (CNNs) to simulate karst spring discharge and to directly learn from spatially distributed climate input data (combined 2D-1D CNNs). We investigate three karst spring catchments in the Alpine and Mediterranean region with different meteorological-hydrological characteristics and hydrodynamic system properties. We compare the proposed approach both to existing modeling studies in these regions and to our own 1D CNN models that are conventionally trained with climate station input data. Our results show that all the models are excellently suited to modeling karst spring discharge (NSE: 0.73-0.87, KGE: 0.63-0.86) and can compete with the simulation results of existing approaches in the respective areas. The 2D models show a better fit than the 1D models in two of three cases and automatically learn to focus on the relevant areas of the input domain. By performing a spatial input sensitivity analysis, we can further show their usefulness in localizing the position of karst catchments. International audience

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    https://doi.org/10.5194/hess-2...
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    https://doi.org/10.5445/ir/100...
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    https://doi.org/10.5194/egusph...
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