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20 Research products, page 1 of 2

  • SDSN - Greece
  • Research software
  • 2013-2022
  • English

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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 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 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.

  • 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

  • Open Access English
    Authors: 
    Hel1vs; Christophbertram; Klein, David; Markroelfsema;
    Publisher: Zenodo
    Project: EC | CD-LINKS (642147), EC | CD-LINKS (642147)

    The release contains the full CD-LINKS repository, including the 'Neutrality' section.

  • Open Access English
    Authors: 
    Sacchi, Romain; Mutel, Christopher;
    Publisher: Zenodo
    Project: EC | ACT (691712), EC | ACT (691712)

    ``carculator`` allows to: 1. produce life cycle assessment results that include conventional midpoint impact assessment indicators as well cost indicators 2. calculate hot pollutant and noise emissions based on a specified driving cycle produce error propagation analyzes (i.e., Monte Carlo) while preserving relations between inputs and outputs 3. control all the parameters sensitive to the foreground model (i.e., the vehicles) but also to the background model (i.e., supply of fuel, battery chemistry, etc.) 4. and easily export the vehicle models as inventories to be further imported in the Brightway2 LCA framework ``carculator`` integrates well with Brightway2 and presamples. Extended from the initial work described in "Uncertain environmental footprint of current and future battery electric vehicles" by Cox, et al (2018).

  • Open Access English
    Authors: 
    García, Diego; Díaz-Delgado, Ricardo; Afán, Isabel; Aragonés, David; Masó, Joan; Pesquer, Lluís; Bustamante, Javier;
    Publisher: Zenodo
    Project: EC | ECOPOTENTIAL (641762), EC | ECOPOTENTIAL (641762)

    This service consists in the generation of a series of tematic rasters from a Landsat scene: NDVI, water turbidity, and flood mask. The process first generates a normalized (*) image based on pseudo-invariant areas (PIAs) and, based on it, the indicated products. In a last step, flood masks are used to compute the annual hydroperiod. The model is dependent on the PIAs that have to be defined, so currently it is only applicable to the Landsat scene 202/34 where the Doñana Natural Area is located. For new areas PIAs have to be defined and tested. A reference scene for normalization needs to be selected also. The model needs two inputs, both compressed in tar.gz: one folder called “scene”, with the compressed Landsat scene in tar.gz to be processed, and other folder called “data “with all the additional info needed to run the process. Second input (“data”) would remain invariable to all Landsat scenes processes, so it would be always called through this link: https://www.dropbox.com/s/pbyutz7b45zv7qw/data.tar.gz?dl=0. When the process is completely finished, a “scene_output.tar.gz” folder is created containing three rasters inside: the NDVI, the Flood mask and Water Turbidity mask for the input scene. (*) The first step of the normalization process, is the Radiometric Correction and this is performed by applying the same algorithm that Corrad Module applies (Miramon software). We want to thank Lluis Pesquer from CREAF, for his help to understand how this module works, in order to implement it without Miramon software enviroment

  • Open Access English
    Authors: 
    Prados, Jordi; Simoes, Joana;
    Publisher: Zenodo
    Project: EC | ECOPOTENTIAL (641762)

    The Ecopotential insitu metadata catalogue is a docker-composition containing a geospatial catalogue and supporting services. It uses a fork of pycsw, an OGC CSW server implementation written in Python.