1.129881510428418info:srw/schema/1/example-v1.1xml:ISO19139:Fde.dwd.mosmix.10246engutf8datasetKai-Thorsten WirtDeutscher WetterdienstRTH FOCAL POINT+49 (0) 69 8062-2546Frankfurter Straße 135Offenbach63067Germanygisc@dwd.dehttp://www.dwd.depointOfContact2018-04-25T00:00:00ZWMO Core Metadata Profile of ISO 19115 (WMO Core), 2003/Cor.1:2006 (ISO 19115), 2007 (ISO/TS 19139)1.3WGS 84World Geodetic Systemhttp://www.wmo.int/pages/prog/wis/2012/metadata/version_1-3/WMO Core Profile version 1.3Model Output Statistics for Faßberg (10246)2018-04-25creation2018-04-25publication2018-04-25revisionde.dwd.mosmix.10246http://wis.wmo.intKai-Thorsten WirtDeutscher WetterdienstRTH FOCAL POINT+49 (0) 69 8062-2546Frankfurter Straße 135Offenbach63067Germanygisc@dwd.dehttp://www.dwd.dedistributordocumentDigitalThe dot notation recommended by WMO-CBS IPET-MDRD is used to build the code identifierDWD’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 ]NC/DCPCKai-Thorsten WirtDeutscher WetterdienstFocal PointT+49 69 8062 2546Frankfurter Straße 135OFFENBACH63067Germanygisc@dwd.deoriginatorcontinualdatasetThe details of the update frequence are described in the temporalElement03091521temporalDewpointForecastMOSMaximum TemperatureMinimum TemperatureModel Output StatisticsPast weatherPrecipitationPresent weatherTemperatureTotal cloud coverVisibilityWindWind gustthememeteorologythemeWMO_CategoryCode2012-06-27revisionCodelists for description of metadata datasets compliant with the WMO Core
Metadata Profile version 1.3 [http://wis.wmo.int/2013/codelists/WMOCodeLists.xml]2012-06-27revisionWMO_CategoryCodeWMO Secretariatpublisher10246FaßbergGermanyplaceMeteorological geographical featuresGEMET - INSPIRE themes, version
1.02008-06-01publicationDewpointForecastMaximum TemperatureMinimum TemperaturePast weatherPrecipitationPresent weatherTemperatureVisibilityWindWind gustcloud coverdataParamWMOEssentialotherRestrictionsotherRestrictionsWMOEssentialengutf8climatologyMeteorologyAtmosphereThe product/data covers the following region/bounding box: south=52.875, north=52.965, west=10.145, east=10.23510.14510.23552.87552.9652018-04-25Z: Model Output Statistics for Faßberg (10246)thematicClassificationkmzhttp://www.wmo.int/pages/prog/www/WMOCodes.htmlhttps://gisc.dwd.de/angular-frontend/xmlProductDetails;pid=de.dwd.mosmix.10246httpGISC Offenbach, Deutscher WetterdienstWMO Information System, download products/data through GISC Offenbach, Deutscher WetterdienstdatasetINSPIRE Data Specification on Meteorological geographical features2010-12-08publicationSee the referenced specificationtrueHigh data quality controlled according to the procedures of the WISThis metadata record was created automatically as a representation of the bulletin
declaration found in WMO # 9 Volume C1. Other references were used in the process, including WMO
References such as WMO # 9 Volume A, WMO # 386 Manual on the GTS and WMO # 306 Manual on Codes. Other
elements of information were also collected or created for the purpose of the GTS Metadata Generation.
This work, as well as the creation of the representation of the WMO references was done by Deutscher
Wetterdienst (DWD) on a "best effort" basis.
]]>
1info:srw/schema/1/example-v1.1xml:ISO19139:Fde.pangaea.dataset810246engdatasetPANGAEAinfo@pangaea.dehttps://www.pangaea.de/informationpointOfContact2024-01-23T15:25:39Zhttps://doi.pangaea.de/10.1594/PANGAEA.810246Ultra-violet measurements from station Payerne (2010-03)2013-04-15T21:20:50publicationhttps://doi.org/10.1594/PANGAEA.810246Vuilleumier, Laurentlaurent.vuilleumier@meteoswiss.chhttps://orcid.org/0000-0003-0222-2566informationauthorPANGAEAinfo@pangaea.dehttps://www.pangaea.de/informationpublisherSwiss Meteorological Agency, PayerneoriginatortableDigitalcompletedVuilleumier, Laurentlaurent.vuilleumier@meteoswiss.chhttps://orcid.org/0000-0003-0222-2566informationprincipalInvestigatorBSRNBaseline Surface Radiation NetworkthemePANGAEA Project List1995-01-01creationPANGAEAinfo@pangaea.dehttps://www.pangaea.de/informationpointOfContactcopyrightcopyrightBSRN-1.0: Baseline Surface Radiation Network License 1.0textTableenggeoscientificInformation6.94226.942246.812346.81232010-03-01T00:00:002010-03-31T23:59:002.02.0UV-b values were originally given in mW/m² and then erroneously imported in W/m² using the same numbers. The numbers have been corrected (divided by 1000) on 2017-01-27. UV reflect values might still contain errors.DATE/TIMEthematicClassificationHEIGHT above groundphysicalMeasurementmmUltraviolet-a globalphysicalMeasurementUV-Biometer, Solar Light 501A, SN 3548, WRMC No. 21030W/m**2W/m**2Ultraviolet-a global, standard deviationphysicalMeasurementUV-Biometer, Solar Light 501A, SN 3548, WRMC No. 21030W/m**2W/m**2Ultraviolet-a global, minimumphysicalMeasurementUV-Biometer, Solar Light 501A, SN 3548, WRMC No. 21030W/m**2W/m**2Ultraviolet-a global, maximumphysicalMeasurementUV-Biometer, Solar Light 501A, SN 3548, WRMC No. 21030W/m**2W/m**2Ultraviolet-b directphysicalMeasurementUV-Biometer, Solar Light 501A, SN 1495, WRMC No. 21038W/m**2W/m**2Ultraviolet-b direct, standard deviationphysicalMeasurementUV-Biometer, Solar Light 501A, SN 1495, WRMC No. 21038W/m**2W/m**2Ultraviolet-b direct, minimumphysicalMeasurementUV-Biometer, Solar Light 501A, SN 1495, WRMC No. 21038W/m**2W/m**2Ultraviolet-b direct, maximumphysicalMeasurementUV-Biometer, Solar Light 501A, SN 1495, WRMC No. 21038W/m**2W/m**2Ultraviolet-b globalphysicalMeasurementUV-Biometer, Solar Light 501A, SN 2873, WRMC No. 21036W/m**2W/m**2Ultraviolet-b global, standard deviationphysicalMeasurementUV-Biometer, Solar Light 501A, SN 2873, WRMC No. 21036W/m**2W/m**2Ultraviolet-b global, minimumphysicalMeasurementUV-Biometer, Solar Light 501A, SN 2873, WRMC No. 21036W/m**2W/m**2Ultraviolet-b global, maximumphysicalMeasurementUV-Biometer, Solar Light 501A, SN 2873, WRMC No. 21036W/m**2W/m**2Ultraviolet-b diffusephysicalMeasurementUV-Biometer, Solar Light 501A, SN 2848, WRMC No. 21055W/m**2W/m**2Ultraviolet-b diffuse, standard deviationphysicalMeasurementUV-Biometer, Solar Light 501A, SN 2848, WRMC No. 21055W/m**2W/m**2Ultraviolet-b diffuse, minimumphysicalMeasurementUV-Biometer, Solar Light 501A, SN 2848, WRMC No. 21055W/m**2W/m**2Ultraviolet-b diffuse, maximumphysicalMeasurementUV-Biometer, Solar Light 501A, SN 2848, WRMC No. 21055W/m**2W/m**2UV upward reflectedphysicalMeasurementUV-Biometer, Solar Light 501A, SN 3549, WRMC No. 21053W/m**2W/m**2UV upward reflected, standard deviationphysicalMeasurementUV-Biometer, Solar Light 501A, SN 3549, WRMC No. 21053W/m**2W/m**2UV upward reflected, minimumphysicalMeasurementUV-Biometer, Solar Light 501A, SN 3549, WRMC No. 21053W/m**2W/m**2UV upward reflected, maximumphysicalMeasurementUV-Biometer, Solar Light 501A, SN 3549, WRMC No. 21053W/m**2W/m**2text/tab-separated-valuesunknownhttps://doi.pangaea.de/10.1594/PANGAEA.810246?format=textfiledownloaddatasetThe data set was checked for completeness, correctness, and consistency of metainformation. Validity of used methods was checked and - if applicable - precision and range of data.EVENT LABEL: PAY (Payerne) * LATITUDE: 46.812300 * LONGITUDE: 6.942200 * DATE/TIME: 1992-09-01T00:00:00 * ELEVATION: 491.0 m * LOCATION: Switzerland * METHOD/DEVICE: Monitoring stationBSRN station no: 21; Surface type: cultivated; Topography type: hilly, rural; Horizon: doi:10.1594/PANGAEA.947035; Station scientist: Laurent Vuilleumier (laurent.vuilleumier@meteoswiss.ch)1992-09-01T00:00:00
]]>
2info:srw/schema/1/example-v1.1xml:ISO19139:Fwdc-climate.de:5275069eng; USA
collection
WDTF_Annex80_build_v1.0Dr. Anaïs MachardScientific and Technical Building Research Centrenot filled
pointOfContact
Dr. Agnese SalvatiUniversitat Politècnica de Catalunyanot filled
pointOfContact
Dr. Mamak P.TootkaboniPolitecnico di Torinonot filled
pointOfContact
Dr. Abhishek GaurNational Research Council Canadanot filled
pointOfContact
2024-02-26T08:16:31ISO 19115ISO 19115-2:2009IEA EBC Annex 80 "Typical and extreme weather datasets for studying the resilience of buildings to climate change" (Version 1.0)2024-03-05
publication
1WDTF_Annex80_build_v1.0doi:10.26050/WDCC/WDTF_Annex80_build_v1.0Dr. Anaïs MachardScientific and Technical Building Research Centrenot filledEmail: anais.machard@cstb.fr
principalInvestigator
Dr. Anaïs MachardScientific and Technical Building Research Centrenot filledEmail: anais.machard@cstb.fr
author
Dr. Agnese SalvatiUniversitat Politècnica de Catalunyanot filledEmail: agnese.salvati@upc.edu
author
Dr. Mamak P.TootkaboniPolitecnico di Torinonot filledEmail: mamak.pourabdollahtootkaboni@polito.it
author
Dr. Abhishek GaurNational Research Council Canadanot filledEmail: Abhishek.Gaur@nrc-cnrc.gc.ca
author
Jiwei ZouConcordia Universitynot filledEmail: jiwei.zou@mail.concordia.ca
author
Liangzhu WangConcordia Universitynot filledEmail: leon.wang@concordia.ca
author
Faud BabaConcordia Universitynot filledEmail: fuadbaba_15@hotmail.com
author
Hua GeConcordia Universitynot filledEmail: hua.ge@concordia.ca
author
Facundo BreConsejo Nacional de Investigaciones Científicas y Técnicasnot filledEmail: facubre@cimec.santafe-conicet.gov.ar
author
Emmanuel BozonnetLa Rochelle Universitynot filledEmail: emmanuel.bozonnet@univ-lr.fr
author
Vincenzo CorradoPolitecnico di Torinonot filledEmail: vincenzo.corrado@polito.it
author
Xuan LuoLawrence Berkeley National Laboratorynot filledEmail: xuanluo@lbl.gov
author
Ronnen LevinsonLawrence Berkeley National Laboratorynot filledEmail: rmlevinson@lbl.gov
author
Sang Hoon LeeLawrence Berkeley National Laboratorynot filledEmail: sanghlee@lbl.gov
author
Tianzhen HongLawrence Berkeley National Laboratorynot filledEmail: thong@lbl.gov
author
Marcelo Salles OlingerUniversity of Santa Catarinanot filledEmail: marcelo.olinger@gmail.com
author
Rayner Maurício e Silva MachadoUniversity of Santa Catarinanot filledEmail: rmauricio.eng@gmail.com
author
Emeli Lalesca Aparecida da GuardaUniversity of Santa Catarinanot filledEmail: emeliguarda@gmail.com
author
Rodolfo Kirch VeigaUniversity of Santa Catarinanot filledEmail: rodolfoksveiga@gmail.com
author
Roberto LambertsUniversity of Santa Catarinanot filledEmail: roberto.lamberts@ufsc.br
author
Afshin AfshariFraunhofer Institute for Building Physicsnot filledEmail: afshin.afshari@ibp.fraunhofer.de
author
Delphine RamonKU Leuvennot filledEmail: delphine.ramon@kuleuven.be
author
Dung Ngo Hoang NgocKU Leuvennot filledEmail: hoangngocdung.ngo@kuleuven.be
author
Abantika SenguptaKU Leuvennot filledEmail: abantika.sengupta@kuleuven.be
author
Hilde BreeschKU Leuvennot filledEmail: hilde.breesch@kuleuven.be
author
Nicolas HeijmansBelgian Building Research Institutenot filledEmail: nicolas.heijmans@bbri.be
author
Jade DeltourBelgian Building Research Institutenot filledEmail: jade.deltour@bbri.be
author
Xavier KubornBelgian Building Research Institutenot filledEmail: xavier.kuborn@bbri.be
author
Sana SayadiUniversity of Gävlenot filledEmail: Sana.Sayadi@hig.se
author
Bin QianAalborg Universitynot filledEmail: bq@build.aau.dk
author
Chen ZhangAalborg Universitynot filledEmail: cz@build.aau.dk
author
Ramin RahifUniversité de Liègenot filledEmail: ramin.rahif@uliege.be
author
Shady AttiaUniversité de Liègenot filledEmail: Shady.Attia@uliege.be
author
Philipp SternInstitute of Building Research and Innovationnot filledEmail: philipp.stern@building-research.at
author
Peter HolzerInstitute of Building Research and Innovationnot filledEmail: peter.holzer@building-research.at
author
WDCC
publisher
This experiment collects the datasets created by the "Weather Data" group of the IEA EBC Annex 80 “Resilient Cooling for Buildings” project. These are datasets of current and future weather files for building energy performance simulation covering 15 locations in ten climate zones worldwide. The datasets contain ambient air temperature, relative humidity, atmospheric pressure, direct and diffuse solar irradiance, and wind speed at hourly resolution, which are essential climate elements needed to undertake building simulations. The datasets include typical and extreme weather years in the EnergyPlus weather file (EPW) format and multi-year projections in comma-separated value (CSV) format for three periods: historical (2001-2020), future mid-term (2041-2060), and future long-term (2081-2100). The weather files were generated based on the climate projections from the Regional Climate Model (RCM) MPI-RCA4, then bias-corrected using multiyear observational data for each city. The weather files are ready to be used in building energy simulations and systems design for adaptation and resilience studies.
The EPW is a weather file format used to run simulations in EnergyPlus. EPWs are text files and can be opened and edited in any text editor, spreadsheet tools or open-source software tools for creating and editing customised weather files, such as the Element software developed by Big Ladder Software (https://bigladdersoftware.com/projects/elements/).
The EnergyPlus Auxiliary Programmes document (attached Additional Info) describes EPW weather data and provides general information on weather data for energy simulations and weather file conversion.
Funder:
- The Assistant Secretary for Energy Efficiency and Renewable Energy, Building Technologies Office, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231
- The Horizon 2020 project 0E-BUILDINGS, Grant agreement ID: 101024627
- The Marie Skłodowska-Curie grant agreement Nº 101024627
- The Fraunhofer Internal Programs under Grant No. Attract 003-695033
- Det Energiteknologisk Udviklingsog Demonstrations Program (EUDP) under grant 64018-0578
Dr. Anaïs MachardScientific and Technical Building Research Centrenot filled
pointOfContact
Dr. Agnese SalvatiUniversitat Politècnica de Catalunyanot filled
pointOfContact
Dr. Mamak P.TootkaboniPolitecnico di Torinonot filled
pointOfContact
Dr. Abhishek GaurNational Research Council Canadanot filled
pointOfContact
other/diverseCORDEXclimate changeweather filesCC BY 4.0: Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/eng; USAcalendrical2001-01-012100-12-31
info:eu-repo/grantAgreement/EC/H2020/101024627/BE//0E-BUILDINGS
info:eu-repo/grantAgreement/EUDP//64018-0578/DK//None
info:eu-repo/grantAgreement/EERE//DE-AC02-05CH11231/US//None
direct_normal_irradiancenot filled; unit: W h m-2surface_downwelling_shortwave_flux_in_airsurface_downwelling_shortwave_flux_in_air [CF-Standard Name]; unit: W m-2wind_from_directionWind is defined as a two-dimensional (horizontal) air velocity vector, with no vertical component. (Vertical motion in the atmosphere has the standard name upward_air_velocity.) In meteorological reports, the direction of the wind vector is usually (but not always) given as the direction from which it is blowing (wind_from_direction) (westerly, northerly, etc.). In other contexts, such as atmospheric modelling, it is often natural to give the direction in the usual manner of vectors as the heading or the direction to which it is blowing (wind_to_direction) (eastward, southward, etc.) "from_direction" is used in the construction X_from_direction and indicates the direction from which the velocity vector of X is coming. [CF-Standard Name]; unit: degreedry_bulb_air_temperaturenot filled; unit: degCtotal_sky_covernot filled; unit: 0.1wind_speedSpeed is the magnitude of velocity. Wind is defined as a two-dimensional (horizontal) air velocity vector, with no vertical component. (Vertical motion in the atmosphere has the standard name upward_air_velocity.) The wind speed is the magnitude of the wind velocity.[CF-Standard Name]; unit: m s-1diffuse_horizontal_irradiancenot filled; unit: W h m-2specific_humidity-atNearSurface"specific" means per unit mass. Specific humidity is the mass fraction of water vapor in (moist) air.[CF-Standard Name-vertical_coordinate]; unit: kg kg-1air_temperature-atNearSurfaceair_temperature-atNearSurface [CF-Standard Name-vertical_coordinate]; unit: degCair_pressureair_pressure [CF-Standard Name]; unit: Padew_point_temperatureDew point temperature is the temperature at which a parcel of air reaches saturation upon being cooled at constant pressure and specific humidity. [CF-Standard Name]; unit: degCrelative_humidityrelative_humidity [CF-Standard Name]; unit: 0.01air_pressure-atSurfaceAir pressure is the force per unit area which would be exerted when the moving gas molecules of which the air is composed strike a theoretical surface of any orientation. [CF-Standard Name-vertical_coordinate]; unit: Paglobal_horizontal_irradiancenot filled; unit: W h m-2wind_speed-atNearSurfacewind_speed-atNearSurface [CF-Standard Name-vertical_coordinate]; unit: m s-1relative_humidity-atNearSurfacerelative_humidity-atNearSurface [CF-Standard Name-vertical_coordinate]; unit: 0.01cloud_area_fraction"X_area_fraction" means the fraction of horizontal area occupied by X. "X_area" means the horizontal area occupied by X within the grid cell. Cloud area fraction is also called "cloud amount" and "cloud cover". The cloud area fraction is for the whole atmosphere column, as seen from the surface or the top of the atmosphere. The cloud area fraction in a layer of the atmosphere has the standard name cloud_area_fraction_in_atmosphere_layer. [CF-Standard Name]; unit: 0.1other/diverse806https://www.wdc-climate.de/ui/entry?acronym=WDTF_Annex80_build_v1.0
information
collection
]]>
3info:srw/schema/1/example-v1.1xml:ISO19139:Furn:x-wmo:md:int.wmo.wis::ISXD95EDZWengutf8datasetSeries of WMO GTS Bulletins;;Kai-Thorsten WirtDeutscher WetterdienstRTH FOCAL POINT+49 (0) 69 8062-2546Frankfurter Straße 135Offenbach63067Germanygisc@dwd.dehttp://www.dwd.depointOfContact2017-05-26T06:51:06ZWMO Core Metadata Profile of ISO 19115 (WMO Core), 2003/Cor.1:2006 (ISO 19115), 2007 (ISO/TS 19139)1.3WGS 84World Geodetic Systemhttp://www.wmo.int/pages/prog/wis/2012/metadata/version_1-3/WMO Core Profile version 1.3GTS Bulletin: ISXD95 EDZW - Observational data (Binary coded) - BUFR (details are described in the abstract)2014-01-22Zpublication2017-05-26Zrevisionurn:x-wmo:md:int.wmo.wis::ISXD95EDZWhttp://wis.wmo.intKai-Thorsten WirtDeutscher WetterdienstRTH FOCAL POINT+49 (0) 69 8062-2546Frankfurter Straße 135Offenbach63067Germanygisc@dwd.dehttp://www.dwd.dedistributordocumentDigitalThe dot notation recommended by WMO-CBS IPET-MDRD is used to build the code identifierThe ISXD95 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISX): Other surface data A2 (D): 90°E - 0° northern hemisphere (The bulletin collects reports from stations: 10161;Boltenhagen;10168;Goldberg;10172;Laage (Flugplatz);10180;Barth;10193;Ueckermünde;10210;Friesoythe-Altenoythe;10235;Soltau;10238;Bergen;10246;Faßberg;10249;Boizenburg;10261;Seehausen;10267;Kyritz;10281;Trollenhagen;10282;Feldberg/Mecklenburg;10289;Grünow;10304;Meppen;10305;Lingen;10306;Rheine-Bentlage;10309;Ahaus;10312;Belm;) (Remarks from Volume-C: SYNOP HALF HOURLY H+30)WMO GTS Bulletin - Intended for global ExchangeKai-Thorsten WirtDeutscher WetterdienstFocal PointT+49 69 8062 2546Frankfurter Straße 135OFFENBACH63067Germanygisc@dwd.deoriginatorcontinualdatasetThe details of the update frequence are described in the temporalElementHOURLYtemporalBinary universal form for the representation of meteorological datameteorologicalweatherForecastthememeteorologymarineAerologymarineMeteorologyweatherObservationsthemeWMO_CategoryCode2012-06-27revisionCodelists for description of metadata datasets compliant with the WMO Core
Metadata Profile version 1.3 [http://wis.wmo.int/2013/codelists/WMOCodeLists.xml]2012-06-27revisionWMO_CategoryCodeWMO Secretariatpublisher1016110168101721018010193102101023510238102461024910261102671028110282102891030410305103061030910312AhausBarthBelmBergenBoizenburgBoltenhagenFaßbergFeldberg/MecklenburgFriesoythe-AltenoytheGoldbergGrünowKyritzLaage (Flugplatz)LingenMeppenRheine-BentlageSeehausenSoltauTrollenhagenUeckermündeplaceMeteorological geographical featuresGEMET - INSPIRE themes, version
1.02008-06-01publicationGlobalExchangedataCentreWMO_DistributionScopeCode2012-06-27revisionWMOAdditionalotherRestrictionsotherRestrictionsWMOAdditionalGTSPriority2engutf8climatologyMeteorologyAtmosphereThe product/data covers the following region/bounding box: 90°E - 0° northern hemisphere6.940814.069752.081454.34062014-01-22ZISXD95 : GTS Bulletin: ISXD95 EDZW - Observational data (Binary coded) - BUFR (details are described in the abstract)thematicClassificationFM 94http://www.wmo.int/pages/prog/www/WMOCodes.htmlhttps://gisc.dwd.de/angular-frontend/xmlProductDetails;pid=urn:x-wmo:md:int.wmo.wis::ISXD95EDZWhttpGISC Offenbach, Deutscher WetterdienstWMO Information System, download products/data through GISC Offenbach, Deutscher WetterdienstdatasetINSPIRE Data Specification on Meteorological geographical features2010-12-08publicationSee the referenced specificationtrueHigh data quality controlled according to the procedures of the WISThis metadata record was created automatically as a representation of the bulletin
declaration found in WMO # 9 Volume C1. Other references were used in the process, including WMO
References such as WMO # 9 Volume A, WMO # 386 Manual on the GTS and WMO # 306 Manual on Codes. Other
elements of information were also collected or created for the purpose of the GTS Metadata Generation.
This work, as well as the creation of the representation of the WMO references was done by Deutscher
Wetterdienst (DWD) on a "best effort" basis.
]]>
4info:srw/schema/1/example-v1.1xml:ISO19139:Furn:x-wmo:md:int.wmo.wis::ISXD85EDZWengutf8datasetSeries of WMO GTS Bulletins;;Kai-Thorsten WirtDeutscher WetterdienstRTH FOCAL POINT+49 (0) 69 8062-2546Frankfurter Straße 135Offenbach63067Germanygisc@dwd.dehttp://www.dwd.depointOfContact2017-05-26T06:51:05ZWMO Core Metadata Profile of ISO 19115 (WMO Core), 2003/Cor.1:2006 (ISO 19115), 2007 (ISO/TS 19139)1.3WGS 84World Geodetic Systemhttp://www.wmo.int/pages/prog/wis/2012/metadata/version_1-3/WMO Core Profile version 1.3GTS Bulletin: ISXD85 EDZW - Observational data (Binary coded) - BUFR (details are described in the abstract)2015-03-27Zpublication2017-05-26Zrevisionurn:x-wmo:md:int.wmo.wis::ISXD85EDZWhttp://wis.wmo.intKai-Thorsten WirtDeutscher WetterdienstRTH FOCAL POINT+49 (0) 69 8062-2546Frankfurter Straße 135Offenbach63067Germanygisc@dwd.dehttp://www.dwd.dedistributordocumentDigitalThe dot notation recommended by WMO-CBS IPET-MDRD is used to build the code identifierThe ISXD85 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISX): Other surface data A2 (D): 90°E - 0° northern hemisphere (The bulletin collects reports from stations: 10161;Boltenhagen;10168;Goldberg;10172;Laage (Flugplatz);10180;Barth;10193;Ueckermünde;10210;Friesoythe-Altenoythe;10235;Soltau;10238;Bergen;10246;Faßberg;10249;Boizenburg;10261;Seehausen;10267;Kyritz;10281;Trollenhagen;10282;Feldberg/Mecklenburg;10289;Grünow;10304;Meppen;10305;Lingen;10306;Rheine-Bentlage;10309;Ahaus;10312;Belm;) (Remarks from Volume-C: SYNOP HALF HOURLY H+30 ( NATIONAL PART ))WMO GTS Bulletin - Intended for global ExchangeKai-Thorsten WirtDeutscher WetterdienstFocal PointT+49 69 8062 2546Frankfurter Straße 135OFFENBACH63067Germanygisc@dwd.deoriginatorcontinualdatasetThe details of the update frequence are described in the temporalElementHOURLYtemporalBinary universal form for the representation of meteorological datameteorologicalweatherForecastthememeteorologymarineAerologymarineMeteorologyweatherObservationsthemeWMO_CategoryCode2012-06-27revisionCodelists for description of metadata datasets compliant with the WMO Core
Metadata Profile version 1.3 [http://wis.wmo.int/2013/codelists/WMOCodeLists.xml]2012-06-27revisionWMO_CategoryCodeWMO Secretariatpublisher1016110168101721018010193102101023510238102461024910261102671028110282102891030410305103061030910312AhausBarthBelmBergenBoizenburgBoltenhagenFaßbergFeldberg/MecklenburgFriesoythe-AltenoytheGoldbergGrünowKyritzLaage (Flugplatz)LingenMeppenRheine-BentlageSeehausenSoltauTrollenhagenUeckermündeplaceMeteorological geographical featuresGEMET - INSPIRE themes, version
1.02008-06-01publicationGlobalExchangedataCentreWMO_DistributionScopeCode2012-06-27revisionWMOAdditionalotherRestrictionsotherRestrictionsWMOAdditionalGTSPriority2engutf8climatologyMeteorologyAtmosphereThe product/data covers the following region/bounding box: 90°E - 0° northern hemisphere6.940814.069752.081454.34062015-03-27ZISXD85 : GTS Bulletin: ISXD85 EDZW - Observational data (Binary coded) - BUFR (details are described in the abstract)thematicClassificationFM 94http://www.wmo.int/pages/prog/www/WMOCodes.htmlhttps://gisc.dwd.de/angular-frontend/xmlProductDetails;pid=urn:x-wmo:md:int.wmo.wis::ISXD85EDZWhttpGISC Offenbach, Deutscher WetterdienstWMO Information System, download products/data through GISC Offenbach, Deutscher WetterdienstdatasetINSPIRE Data Specification on Meteorological geographical features2010-12-08publicationSee the referenced specificationtrueHigh data quality controlled according to the procedures of the WISThis metadata record was created automatically as a representation of the bulletin
declaration found in WMO # 9 Volume C1. Other references were used in the process, including WMO
References such as WMO # 9 Volume A, WMO # 386 Manual on the GTS and WMO # 306 Manual on Codes. Other
elements of information were also collected or created for the purpose of the GTS Metadata Generation.
This work, as well as the creation of the representation of the WMO references was done by Deutscher
Wetterdienst (DWD) on a "best effort" basis.
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561.1de.dwd.mosmix.1024615xmlhttps://sru.dwd.de/SRU2JDBC/