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48 Research products, page 1 of 5

  • SDSN - Greece
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  • Open Access English

    The CityChem extension, developed at Helmholtz-Zentrum Geesthacht (HZG) is designed for treating complex atmospheric chemistry in urban areas and improved representation of the near-field dispersion (Karl et al., 2019). The model is an extension of the EPISODE dispersion model to enable chemistry/transport simulations of reactive pollutants on city scale. EPISODE is an Eulerian dispersion model developed at the Norwegian Institute for Air Research (NILU) appropriate for air quality studies at the local scale (Hamer et al., 2019). The EPISODE model and the CityChem extension are open source code subject to the Reciprocal Public License ("RPL") Version 1.5, https://opensource.org/licenses/RPL-1.5. {"references": ["Karl, M. Walker, S.-E., Solberg, S., and Ramacher, M. O. P. (2019) The Eulerian urban dispersion model EPISODE - Part 2: Extensions to the source dispersion and photochemistry for EPISODE-CityChem v1.2 and its application to the city of Hamburg. Geosci. Model Dev., 12, 3357-3399, https://doi.org/10.5194/gmd-12-3357-2019.", "Hamer, P.D., Walker, S.-E., Sousa-Santos, G., Vogt, M., Vo-Thanh, D., Lopez-Aparicio, S., Ramacher, M.O.P., Karl, M. (2019) The urban dispersion model EPISODE. Part 1: A Eulerian and subgrid-scale air quality model and its application in Nordic winter conditions. Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-199, in review."]} Britt Ann Høisker (NILU) is thanked for permission to distribute the CityChem extension to the EPISODE model under the RPL license. This work was partially funded by the ERA-PLANET trans-national project SMURBS (SMart URBan Solutions for air quality, disasters and city growth), Grant Agreement n. 689443, under the EU Horizon 2020 Framework Programme.

  • Open Access
    Authors: 
    Telfer, Trevor; Falconer, Lynne; Bostock, John; Corner, Richard; Oliver, Robert;
    Publisher: Zenodo
    Project: EC | TAPAS (678396), EC | TAPAS (678396)

    The Cage Aquaculture Particulate Output and Transport (CAPOT) model is an easy to use and flexible farm-scale model that can be used to rapidly estimate particulate waste deposition from cage production. CAPOT is a suitable initial, rapid assessment model to give an overview of potential impact of particulate waste from new or expanded fish cage farms, with little operator expertise by a wide range of stakeholders. The model is wholly encapsulated within standard spreadsheet format (.xlsm). Visualisation of the output is achieved using proprietary contour plotting software, such as SurferTM (Golden Software. CA, USA) and open-source Geographic Information System (GIS) software, such as QGIS, but can be achieved in a more limited form within the spreadsheet itself. Visual Basic for Applications (VBA) macro scripts within the spreadsheets perform calculations and data formatting to produce outputs in Surfer and ESRI (GIS) grid formats. The model should not be used for environment regulation/licensing purposes without checking with the relevant regulatory authority. Disclaimer: This model is distributed in good faith as a work in progress and potentially subject to error. As such, the authors and the University of Stirling do not accept any liability for inaccurate predictions or their consequences. This model is employed at the users own risk.

  • Open Access English
    Authors: 
    Giuliani, Matteo; Lamontagne, Jonathan R.;
    Publisher: Zenodo
    Project: EC | DAFNE (690268), EC | DAFNE (690268)

    This is the first release of the ZambeziWatercours_GCAM code

  • Research software . 2021
    Open Access
    Authors: 
    Christmann, Julia; Rückamp, Martin; Müller, Ralf; Humbert, Angelika;
    Country: Germany
    Project: EC | ERA-PLANET (689443)

    Viscoelastic COMSOL COMice-ve.mph for manuscript entitled "Elastic deformation plays a non-negligible role in Greenland’s outlet glacier flow" from Christmann et al., Communications Earth & Environment, https://doi.org/10.1038/s43247-021-00296-3, 2021. You can find here the mph file and all external data used in the finite element Comsol mph file. These files are also accessible via GitLab: https://gitlab.awi.de/jchristm/viscoelastic-79ng-greenland.git.

  • Research software . 2021
    Open Access English
    Authors: 
    Pérez-Zanón, Núria; Caron, Louis-Philippe; Alvarez-Castro, Carmen; Batte, Lauriane; Delgado, Carlos; Von Hardenberg, Jost; Llorenç LLedó; Manubens, Nicolau; Lluís Palma; Eroteida Sanchez-Garcia; +3 more
    Publisher: Zenodo
    Project: EC | S2S4E (776787), EC | ERA4CS (690462)

    CSTools: Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales Exploits dynamical seasonal forecasts in order to provide information relevant to stakeholders at the seasonal timescale. The package contains process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products.

  • Research software . 2021
    Open Access English
    Authors: 
    Núria Pérez-Zanón; Louis-Philippe Caron; Carmen Alvarez-Castro; Lauriane Batte; Carlos Delgado; Jost von Hardenberg; Llorenç LLedó; Nicolau Manubens; Lluís Palma; Eroteida Sanchez-Garcia; +3 more
    Publisher: Zenodo
    Project: EC | S2S4E (776787), EC | ERA4CS (690462), EC | S2S4E (776787), EC | ERA4CS (690462)

    CSTools: Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales Exploits dynamical seasonal forecasts in order to provide information relevant to stakeholders at the seasonal timescale. The package contains process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products.

  • Open Access
    Authors: 
    , Bocher; , Bernard; Wiederhold, Le Saux; , Leconte; , Petit; , Palominos; No��s;
    Publisher: Zenodo
    Project: EC | ERA4CS (690462), EC | ERA4CS (690462)

    GeoClimate is an opensource geospatial toolbox to compute a set of climate related parameters describing a territory (morphological indicators such as Sky View Factor, urban classifications such as Local Climate Zones, etc.). GeoClimate uses vector-based inputs. Specific workflows have been developed to automatically use OpenStreetMap and the French BD Topo 2.2 version databases but the algorithms are data independent, thus allowing the user to connect any vector-based dataset. GeoClimate is developed in Groovy language. The GeoClimate library has been also developed within research project PAENDORA (2017 -2021), funded by ADEME. Code source and documentation are available at https://github.com/orbisgis/geoclimate/releases/tag/0.0.1

  • Open Access
    Authors: 
    Sterl, Sebastian; Devillers, Albertine;
    Publisher: Zenodo
    Project: EC | ERA4CS (690462), EC | ERA4CS (690462)

    This is the archived code used for the paper "A spatiotemporal atlas of hydropower in Africa for energy modelling purposes" by Sterl et al. (2021).

  • Research software . 2021
    Open Access English
    Authors: 
    Bahri, M.; Cremades, R.;
    Publisher: Zenodo
    Project: EC | ERA4CS (690462), EC | ERA4CS (690462)

    The “Urban Drought Nexus Tool” facilitates the co-development of climate services for cities under increasing droughts. The tool integrates multiple types of information and still can be applied to other case studies with minimal adjustments on the parameters of land use, water consumption and energy use in the water sector. The tool needs hydrological projections under climate scenarios to evaluate climatic futures, and requires the co-creation of socio-economic future scenarios with local stakeholders. Thus it is possible to provide specific information about droughts taking into account future water availability and future water consumption. Ultimately, such complex system as formed by the water-energy-land nexus can be reduced to single variables of interest, e.g. the number of events with no water available in the future and their length, so that the complexities are reduced and the results can be conveyed to society in an understandable way, including the communication of uncertainties. The tool and an explanatory guide in pdf format are included.

  • Open Access English
    Authors: 
    Rustler, Michael; Sonnenberg, Hauke; Seis, Wolfgang; Junghanns, Ralf;
    Publisher: Zenodo
    Project: EC | AquaNES (689450), EC | AquaNES (689450)

    Improvements of the R package (originally developed within the EU project DEMOWARE) made within the EU project AquaNES: Test: add vignette test_random_distributions_inflow.Rmd for testing random distrution functions with inflow data (using data stored in qmra.db R package) (#21, (#24)) Delete "docs" folder (documentation auto-build on gh-pages branch) (#19) fix bug due to dplyr update (0.7.8 -> 0.8.0.1) (#18) create_random_distribution: "norm/log10_norm" ("percentile under min/max as variable) (#17) create_random_distribution: "lognorm" (fix to avoid NaN) (#16)) create_random_distribution() add log10_norm (#14) distribution together with new vignette usage_log10_norm.Rmd and rename loguniform to log10_uniform create_random_distribution() add loguniform distribution together with new vignette usage_loguniform.Rmd (#23) bugfix: distribution_repeater(), works now if number_of_events == 1 (#22) For more details of the changes see also Milestone: v0.2.0