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Model Output Statistics for DOKSANY (11509)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Floods Reference Spatial Datasets reported under Floods Directive - version 3.0, Mar. 2025

The Floods Directive (FD) was adopted in 2007 (https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:32007L0060). The purpose of the FD is to establish a framework for the assessment and management of flood risks, aiming at the reduction of the adverse consequences for human health, the environment, cultural heritage and economic activity associated with floods in the European Union. ‘Flood’ means the temporary covering by water of land not normally covered by water. This shall include floods from rivers, mountain torrents, Mediterranean ephemeral water courses, and floods from the sea in coastal areas, and may exclude floods from sewerage systems. This reference spatial dataset, reported under the Floods Directive, includes the areas of potential significant flood risk (APSFR), as they were lastly reported by the Member States to the European Commission, and the Units of Management (UoM).

Homogenized mean monthly temperature time series (HClim), station Hom_HCLIM_Prag, Czech Republic

Instrumental meteorological observations are essential for analysing past climate and reconstructing climate variability. However, many of the long instrumental climate series, some extending back to 1658, have been affected by inhomogeneities (artificial shifts) caused by changes in measurement conditions such as station relocations, instrumentation changes, and environmental modifications. To address this problem, homogenization procedures have been developed to detect and adjust such inhomogeneities. In this work, the records undergo homogenization analysis, during which these inhomogeneities are identified and corrected. The Standard Normal Homogeneity Test (SNHT), developed by Hans Alexandersson, is applied as the statistical method, comparing candidate series with neighbouring reference stations to assess relative homogeneity. The article presents homogenization analyses using three different tools (CLIMATOL, BART, and PHA) applied to the published global multivariable monthly instrumental climate database HCLIM (doi:10.1594/PANGAEA.940724). The resulting database includes the best-performing homogenized series - those produced by BART - comprising 2,892 homogenized temperature time series covering the period 1757–2020.

Homogenized mean monthly temperature time series (HClim), station Hom_HCLIM_Praha_Klementinum, Czech Republic

Instrumental meteorological observations are essential for analysing past climate and reconstructing climate variability. However, many of the long instrumental climate series, some extending back to 1658, have been affected by inhomogeneities (artificial shifts) caused by changes in measurement conditions such as station relocations, instrumentation changes, and environmental modifications. To address this problem, homogenization procedures have been developed to detect and adjust such inhomogeneities. In this work, the records undergo homogenization analysis, during which these inhomogeneities are identified and corrected. The Standard Normal Homogeneity Test (SNHT), developed by Hans Alexandersson, is applied as the statistical method, comparing candidate series with neighbouring reference stations to assess relative homogeneity. The article presents homogenization analyses using three different tools (CLIMATOL, BART, and PHA) applied to the published global multivariable monthly instrumental climate database HCLIM (doi:10.1594/PANGAEA.940724). The resulting database includes the best-performing homogenized series - those produced by BART - comprising 2,892 homogenized temperature time series covering the period 1757–2020.

Homogenized mean monthly temperature time series (HClim), station Hom_HCLIM_Schossl, Czech Republic

Instrumental meteorological observations are essential for analysing past climate and reconstructing climate variability. However, many of the long instrumental climate series, some extending back to 1658, have been affected by inhomogeneities (artificial shifts) caused by changes in measurement conditions such as station relocations, instrumentation changes, and environmental modifications. To address this problem, homogenization procedures have been developed to detect and adjust such inhomogeneities. In this work, the records undergo homogenization analysis, during which these inhomogeneities are identified and corrected. The Standard Normal Homogeneity Test (SNHT), developed by Hans Alexandersson, is applied as the statistical method, comparing candidate series with neighbouring reference stations to assess relative homogeneity. The article presents homogenization analyses using three different tools (CLIMATOL, BART, and PHA) applied to the published global multivariable monthly instrumental climate database HCLIM (doi:10.1594/PANGAEA.940724). The resulting database includes the best-performing homogenized series - those produced by BART - comprising 2,892 homogenized temperature time series covering the period 1757–2020.

Homogenized mean monthly temperature time series (HClim), station Hom_HCLIM_Praha-Ruzyne_Airport, Czech Republic

Instrumental meteorological observations are essential for analysing past climate and reconstructing climate variability. However, many of the long instrumental climate series, some extending back to 1658, have been affected by inhomogeneities (artificial shifts) caused by changes in measurement conditions such as station relocations, instrumentation changes, and environmental modifications. To address this problem, homogenization procedures have been developed to detect and adjust such inhomogeneities. In this work, the records undergo homogenization analysis, during which these inhomogeneities are identified and corrected. The Standard Normal Homogeneity Test (SNHT), developed by Hans Alexandersson, is applied as the statistical method, comparing candidate series with neighbouring reference stations to assess relative homogeneity. The article presents homogenization analyses using three different tools (CLIMATOL, BART, and PHA) applied to the published global multivariable monthly instrumental climate database HCLIM (doi:10.1594/PANGAEA.940724). The resulting database includes the best-performing homogenized series - those produced by BART - comprising 2,892 homogenized temperature time series covering the period 1757–2020.

Geologische Übersichtskarte der Bundesrepublik Deutschland 1:200.000 (GÜK200) - CC 7942 Passau

Blatt Passau zeigt einen interessanten Ausschnitt der Geologie im Dreiländereck Deutschland Österreich Tschechien. Die Nordost-Ecke des Kartenblattes wird vom Moldanubikum der Böhmischen Masse eingenommen. Teile des Böhmerwaldes und des Bayerischen Waldes sind aufgeschlossen. Die metamorphen Gesteine des Moldanubikums (Gneise, Diatexite) werden verstärkt von paläozoischen Plutoniten durchsetzt. Dabei handelt es sich größtenteils um Granite (Hauzenberg-, Kristall-, Haidmühle-, Eisgarn-, Sulzberg-, Steinberg-, Dreisessel-, Weinsberg-, Schärding-, Peuerbach-Granit), während Diorite nur vereinzelt auftreten. Zwei bedeutende Störungszonen, Bayerischer Pfahl und Passauer Pfahl, durchziehen den Raum in Nordwest-Südost-Richtung. Die größte Fläche im Kartenausschnitt nimmt das Molassebecken des Alpenvorlandes ein. Der Schutttrog der Alpen ist mit tertiären Sedimenten der Süßwasser-, Brackwasser- bzw. Meeresmolasse verfüllt. Das Tertiär ist z. T. von pleistozänen Lockersedimenten wie Schotter der Schmelzwasserflüsse oder Löss und Lösslehm überlagert. Neben der Legende, die über Alter, Genese und Petrographie der dargestellten Einheiten informiert, veranschaulicht eine tektonische Übersichtskarte die geologischen Großeinheiten im Kartenblatt. In einem Überlagerungsschema sind zudem alle Überdeckungen durch Lössverwehungen detailliert aufgelistet und beschrieben. Ein geologischer Schnitt, der das Molassebecken von Süd nach Nord durchquert, gewährt zusätzliche Einblicke in den Aufbau des Untergrundes. Im Profilverlauf wird deutlich, dass die tertiären Sedimentschichten nordwärts kontinuierlich an Mächtigkeit verlieren.

Geologische Übersichtskarte der Bundesrepublik Deutschland 1:200.000 (GÜK200) - CC 5550 Görlitz

Blatt Görlitz bildet die geologischen Verhältnisse im Dreiländereck Deutschland, Polen und Tschechien ab. Das Lausitzer Bergland wird im Norden des Kartenausschnitts erfasst, im Osten der Komplex des Iser- und Riesengebirges, im Westen die Ausläufer der Sächsischen Kreidesenke mit dem Elbsandsteingebirge und im Süden die Nordböhmische Kreidesenke. Die Lausitzer Überschiebung zieht sich von Westnordwest nach Ostsüdost quer über das Kartenblatt. Die Plutonite des südlichen Lausitzer Berglands bilden das größte Plutonitgebiet im variszischen Gebirge Mitteleuropas. Cadomische und altpaläozoische Magmatite und Anatexite (Oberproterozoikum bis Ordovizium) bilden den aufgrund dominierender Biotitgranodiorite als "Lausitzer Granodiorit-Massiv" bezeichneten Komplex. Die Biotit-Monzogranite bei Stolpen und Königshain intrudierten erst synvariszisch im Oberkarbon. Tertiäre Vulkanite (Basanit, Nephelinit, Olivinbasalt) treten gehäuft in der Region um Zittau auf. Die Kristallingesteine sind in den Niederungen des Lausitzer Berglandes von känozoischen Lockersedimenten überlagert. In südöstlicher Fortsetzung des Lausitzer Berglands erstreckt sich der Komplex des Iser- und Riesengebirges. In seinem Zentrum lagert der synvariszisch intrudierte Riesengebirgsplutons (Biotit-Monzogranite des Oberkarbons), der von einem Gürtel metamorpher Kristallingesteine umrandet wird. Während im Norden des Plutons präkambrische bis kambrische Gneise ("Iser-Gneise") und Glimmerschiefer lagern, treten in seiner östlichen und südlichen Umrandung vermehrt auch Phyllite und Quarzite sowie paläozoische Metamorphite auf. Die südwestliche Begrenzung des Komplexes bildet die Lausitzer Überschiebung, die den Abbruch zur Nordböhmischen Kreidesenke markiert. Die Nordböhmische Senke ist mit kreidezeitlichen Sand- und Mergelsteinen verfüllt. Mit Mächtigkeiten bis zu 150 m lagern sie diskordant über präkambrischem bzw. paläozoischem Untergrund. Auffällig sind die Vorkommen tertiärer Vulkanite (Basalt, Basanit, Nephelinit, Phonolith, Trachyt), die verstärkt im westlichen bzw. nordwestlichen Abschnitt der Senke die kreidezeitliche Sedimentdecke durchstoßen. Neben der Legende, die über Alter, Genese und Petrographie der dargestellten Einheiten informiert, verdeutlicht eine tektonische Übersichtskarte die regionalgeologische Gliederung im Kartenausschnitt. Ein Profilschnitt gewährt zusätzliche Einblicke in den Aufbau des Untergrundes. Das Profil schneidet in seinem Nordwest-Südost-Verlauf das Lausitzer Granodioritmassiv, die Lausitzer Überschiebung sowie die Nordböhmische Kreidesenke mit ihren tertiären Vulkanitschloten (z. B. Hochwald und Ortel).

Climatic suitability for the transmission of chikungunya in Europe (1951-2021), Apr 2023

This metadata refer to the dataset presenting the annual change in the basic reproduction number (R0) for chikungunya transmission in the period 1951-2021. The basic reproduction number of chikungunya from Aedes mosquitos is calculated using a model to capture the influence of temperature and rainfall on mosquito vectorial capacity and mosquito abundance, and overlaying it with human population density data to estimate the R0 (i.e., the expected number of secondary infections resulting from one infected person).

WISE WFD monitoring sites reported under Water Framework Directive 2016

The service contains information on the European monitoring sites used for the assessment of the status of surface water bodies and groundwater bodies in the 2nd River Basin Management Plans (RBMP). The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: Monitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme. Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.

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