Die Beeinflussung des regionalen Klimas und turbulenter Vermischungen von Luftverunreinigungen durch Inhomogenitaeten der Gelaendegestalt und der Bodeneigenschaften wird simuliert mit Hilfe der Verknuepfung des atmosphaerischen mesoskaligen Modells KAMM mit einem Erdbodenmodell. Ziel der Arbeiten sind dabei u.a. Erkenntnisse ueber instationaere Prozesse in der atmosphaerischen Grenzschicht, die Vorhersage des Lokalklimas durch entsprechende Parameterstudien, die Parametrisierung mesoskaliger Prozesse fuer Wetter- und Klimavoraussage-Modelle. Fuer die Beschreibung der Schadstoffausbreitung im mesoskaligen Bereich existiert das zusaetzliche Modell DRAIS, das durch Kopplung mit einem luftchemischen Modell so weiterentwickelt werden soll, dass damit auch das Auswaschen von Gasen und Aerosolpartikeln und deren nasse Deposition simuliert werden kann.
Version history:We recommend to use the revised version of this data publication (http://doi.org/10.5880/fidgeo.2018.011) which contains further data collected (2010-2018), some of which also resulted in the revision of previous data (e.g. updated rating curves).A comprehensive hydro-sedimentological dataset for the Isábena catchment, NE Spain, for the period 2010-2016 is presented to analyse water and sediment fluxes in a Mediterranean meso-scale catchment. The dataset includes rainfall data from twelve rain gauges distributed within the study area complemented by meteorological data of twelve official meteo-stations. It comprises discharge data derived from water stage measurements as well as suspended sediment concentrations (SSC) at six gauging stations of the Isábena river and its sub-catchments.Soil spectroscopic data from 351 suspended sediment samples and 152 soil samples were collected to characterize sediment source regions and sediment properties via fingerprinting analyses. The Isábena catchment (445 km²) is located in the Southern Central Pyrenees ranging from 450 m to 2,720 m in elevation, together with a pronounced topography this leads to distinct temperature and precipitation gradients.The Isábena river shows marked discharge variations and high sediment yields causing severe siltation problems in the downstream Barasona reservoir. Main sediment source are badland areas located on Eocene marls that are well connected to the river network. The dataset features a wide set of parameters in a high spatial and temporal resolution suitable for advanced process understanding of water and sediment fluxes, their origin and connectivity, sediment budgeting and for evaluating and further developing hydro-sedimentological models in Mediterranean meso-scale mountainous catchments.The data are available in .csv format folllowing the CUAHSI Community Observations Data Model (ODM) as .zip files via this DOI Landing Page and directly from the CUASI HIS Database via http://hydroportal.cuahsi.org/isabena/cuahsi_1_1.asmx?WSDL.The data are provided in four thematic zip folders:(1) hydro (hydrological data): water stage (manual readings and automatically recorded), river discharge (meterings and converted from stage)(2) meta (metadata) with the description of the different datafiles relevant for this dataset according to the CUAHSI HIS Standards(3) meteo (meteorological data): rainfall, temperature, radiation, humidity(4) sediment (sedimentological data): turbidity, suspended sediment concentration (from samples and from turbidity), sediment and soil reflectance spectraFor more detailed information, please read the user guide on cloud publications with the CUAHSI Water Dater Center (UserGuide.pdf) or the ODM guide for uploading data using CUAHSI´s ODM uploader (ODMGuide.xlsx in folder ODM_Guide_2017.zip).
Version history: This datased is an updated version of Francke et al. (2017; http://doi.org/10.5880/fidgeo.2017.003) for a revised version of this discussion paper. It contains further data collected, some of which also resulted in the revision of previous data (e.g. updated rating curves).A comprehensive hydro-sedimentological dataset for the Isábena catchment, NE Spain, for the period 2010-2018 is presented to analyse water and sediment fluxes in a Mediterranean meso-scale catchment. The dataset includes rainfall data from twelve rain gauges distributed within the study area complemented by meteorological data of twelve official meteo-stations. It comprises discharge data derived from water stage measurements as well as suspended sediment concentrations (SSC) at six gauging stations of the Isábena river and its sub-catchments. Soil spectroscopic data from 351 suspended sediment samples and 152 soil samples were collected to characterize sediment source regions and sediment properties via fingerprinting analyses.The Isábena catchment (445 km²) is located in the Southern Central Pyrenees ranging from 450 m to 2,720 m in elevation, together with a pronounced topography this leads to distinct temperature and precipitation gradients. The Isábena river shows marked discharge variations and high sediment yields causing severe siltation problems in the downstream Barasona reservoir. Main sediment source are badland areas located on Eocene marls that are well connected to the river network. The dataset features a wide set of parameters in a high spatial and temporal resolution suitable for advanced process understanding of water and sediment fluxes, their origin and connectivity, sediment budgeting and for evaluating and further developing hydro-sedimentological models in Mediterranean meso-scale mountainous catchments.The data have been published with the CUAHSI Water Data Center and is structured according to its guidelines (.csv format). For more detailed information please read the user guide on cloud publications with the CUAHSI Water Dater Center or the ODM guide for uploading data using CUAHSI´s ODM uploader added to the folder CUAHSI_ODM-Guide.zip. The database can be found in the HISCENTRAL catalogue (http://hiscentral.cuahsi.org/pub_network.aspx?n=5622). It is directly accessible via the API (http://hydroportal.cuahsi.org/isabena/cuahsi_1_1.asmx?WSDL) or in zipped archives at this DOI Landing Page (http://doi.org/10.5880/fidgeo.2018.011). For more detailed information, please read the user guide on cloud publications with the CUAHSI Water Dater Center (UserGuide.pdf) or the ODM guide for uploading data using CUAHSI´s ODM uploader in the ODM_Guide.zip archive.The data are available in four thematic zip folders:(1) hydro (hydrological data): water stage (manual readings and automatically recorded), river discharge (meterings and converted from stage)(2) meta (metadata) with the description of the different datafiles relevant for this dataset according to the CUAHSI HIS Standards(3) meteo (meteorological data): rainfall, temperature, radiation, humidity(4) sediment (sedimentological data): turbidity, suspended sediment concentration (from samples and from turbidity), sediment and soil reflectance spectraand are complemented by:(5) CUAHSI_ODM-Guide: User Guide, CUAHSI´s ODM uploader in Excel (.xlsx) and Open Office (.ods) formats(6) scripts: auxiliary R-script templates for data access, data analysis and visualisation(7) supplementary materials: stage-discharge- and turbidimeter rating curves
The present work deals with air quality modelling, focusing on meteorological data assimilation. The local dispersion model Polytox is modified in order to use meteorological fields from the meso-scale meteorological model COSMO instead of local measurements. As a result, the impact of input meteorological fields on the air quality modelling can be analyzed. As a practical example, we use a real case study located in 'Entre-deux-Lacs', a region in Switzerland where it is planned to build a gas power plant. Three critical meteorological situations, with high pollutant concentrations records, have been identified. Polytox has been ran for those 3 situations with different configurations: i) Input meteorological fields are provided by measurements ii) Input meteorological fields (wind fields, mixing height, diffusion coefficients) are provided by the meso-scale model. The results show the Polytox ability to use both local meteorological measurements and meso-scale meteorological fields. The COSMO data, especially when used to determine the mixing height, improves the Polytox air quality simulation results. With the meso-scale meteorological data, Polytox is able to compute air quality anywhere in Switzerland if the emission inventory is available. Furthermore, Polytox is no more dependent on the measurements quality and quantity. However, the base Polytox configuration with meteorological fields provided by measurements gives satisfactory results and remains valid for air quality simulations when the measurements are highly representative of the meteorological situation.