1.129821647841474info:srw/schema/1/example-v1.1xml:ISO19139:Fde.dwd.mosmix.16741engutf8datasetKai-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 EL VENIZELOS (16741)2018-04-25creation2018-04-25publication2018-04-25revisionde.dwd.mosmix.16741http://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 Secretariatpublisher16741EL VENIZELOSGreeceplaceMeteorological geographical featuresGEMET - INSPIRE themes, version
1.02008-06-01publicationDewpointForecastMaximum TemperatureMinimum TemperaturePast weatherPrecipitationPresent weatherTemperatureVisibilityWindWind gustcloud coverdataParamWMOEssentialotherRestrictionsotherRestrictionsWMOEssentialengutf8climatologyMeteorologyAtmosphereThe product/data covers the following region/bounding box: south=37.875, north=37.965, west=23.885, east=23.97523.88523.97537.87537.9652018-04-25Z: Model Output Statistics for EL VENIZELOS (16741)thematicClassificationkmzhttp://www.wmo.int/pages/prog/www/WMOCodes.htmlhttps://gisc.dwd.de/angular-frontend/xmlProductDetails;pid=de.dwd.mosmix.16741httpGISC 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.dataset716741engdatasetPANGAEAinfo@pangaea.dehttps://www.pangaea.de/informationpointOfContact2024-01-24T10:46:42Zhttps://doi.pangaea.de/10.1594/PANGAEA.716741Expanded measurements from station Ny-Ålesund (2009-01)2009-05-27T14:04:48publicationhttps://doi.org/10.1594/PANGAEA.716741Maturilli, MarionMarion.Maturilli@awi.dehttps://orcid.org/0000-0001-6818-7383informationauthorPANGAEAinfo@pangaea.dehttps://www.pangaea.de/informationpublisherAlfred Wegener Institute - Research Unit PotsdamoriginatortableDigitalcompletedMaturilli, MarionMarion.Maturilli@awi.dehttps://orcid.org/0000-0001-6818-7383informationprincipalInvestigatorBSRNBaseline Surface Radiation NetworkthemePANGAEA Project List1995-01-01creationPANGAEAinfo@pangaea.dehttps://www.pangaea.de/informationpointOfContactcopyrightcopyrightBSRN-1.0: Baseline Surface Radiation Network License 1.0textTableenggeoscientificInformation11.927311.927378.922778.92272009-01-01T00:00:002009-01-31T23:59:0099999: No clouds detectedDATE/TIMEthematicClassificationCloud base heightphysicalMeasurementLaser ceilometer LD-40 137.2005.00mmtext/tab-separated-valuesunknownhttps://doi.pangaea.de/10.1594/PANGAEA.716741?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: NYA (Ny-Ålesund) * LATITUDE: 78.922700 * LONGITUDE: 11.927300 * DATE/TIME: 1992-08-01T00:00:00 * ELEVATION: 11.0 m * LOCATION: Ny-Ålesund, Spitsbergen * CAMPAIGN: AWIPEV_based * BASIS: AWIPEV * METHOD/DEVICE: Monitoring stationBSRN station no: 11; Surface type: tundra; Topography type: mountain valley, rural; Horizon: doi:10.1594/PANGAEA.669522; Station scientist: Marion.Maturilli@awi.de1992-08-01T00:00:00
]]>
2info:srw/schema/1/example-v1.1xml:ISO19139:Febas:FR0030R.20150101000000.20230530072244.cpc...8y.1h.FR04L_cpc_TSI_3010.FR04L_TSI_3010_PUY.lev2.ncengUTF8datasetserviceKarine Sellegri, Jean-Marc Pichon, David Picard, Clemence RoseFR04L, CNRS-LaMP, Campus des Cézeaux, 24 avenue des Landais, 63177, Aubière, Francek.sellegri@opgc.fr, , d.picard@opgc.univ-bpclermont.fr, c.rose@opgc.frebas.nilu.noWWW:LINKweb browserinformationpointOfContact2023-05-30ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded dataISO 19115-2:2009(E)1temporal701283600.0areaGround based in situ observations of cpc at Puy de Dôme (FR0030R)2023-05-30T07:22:44Zcreation2023-05-30T10:27:02.729ZrevisionEBASEBAS/FR0030R.20150101000000.20230530072244.cpc...8y.1h.FR04L_cpc_TSI_3010.FR04L_TSI_3010_PUY.lev2.ncKarine Sellegri, Jean-Marc Pichon, David Picard, Clemence RoseFR04L, CNRS-LaMP, Campus des Cézeaux, 24 avenue des Landais, 63177, Aubière, Francek.sellegri@opgc.fr, , d.picard@opgc.univ-bpclermont.fr, c.rose@opgc.frebas.nilu.noWWW:LINKweb browserinformationoriginatorNicolas Pascaldata submitter{
"Data definition": "EBAS_1.1",
"Data license": "https://creativecommons.org/licenses/by/4.0/",
"Set type code": "TU",
"Timezone": "UTC",
"File name": "FR0030R.20150101000000.20230530072244.cpc...8y.1h.FR04L_cpc_TSI_3010.FR04L_TSI_3010_PUY.lev2.nc",
"File creation": "2023-05-30T10:26:57.947438 UTC",
"Export state": "2023-05-30T10:25:04.167417 UTC",
"Export filter": "exclude-900,exclude-invalid",
"Startdate": "20150101000000",
"Revision date": "20230530072244",
"Version": "1",
"Version description": "initial revision",
"Data level": "2",
"Period code": "8y",
"Resolution code": "1h",
"Sample duration": "1h",
"Orig. time res.": "5mn",
"Station code": "FR0030R",
"Platform code": "FR0030S",
"Station name": "Puy de Dôme",
"Station GAW-ID": "PUY",
"Station GAW-Name": "Puy de Dôme",
"Station land use": "Forest",
"Station setting": "Mountain",
"Station GAW type": "G",
"Station WMO region": "6",
"Station latitude": "45.772223",
"Station longitude": "2.964886",
"Station altitude": "1465.0 m",
"Measurement latitude": "45.772223",
"Measurement longitude": "2.964886",
"Measurement altitude": "1465.0 m",
"Measurement height": "12.0 m",
"Regime": "IMG",
"Laboratory code": "FR04L",
"Instrument type": "cpc",
"Instrument name": "cpc_TSI_3010",
"Instrument manufacturer": "TSI",
"Instrument model": "3010",
"Instrument serial number": "2348",
"Method ref": "FR04L_TSI_3010_PUY",
"Inlet type": "Impactor--direct",
"Inlet description": "Inlet length/diameter ~3 m/ 0.50 m, 100L/min at top of inlet (outside), an auxillary flow of ~ 100l at the bottom of inlet to ensure isokinetic flow. CPC sample flow = 1 l/min",
"Humidity/temperature control": "Temperature conditioning at 20 deg. C",
"Volume std. temperature": "273.15 K",
"Volume std. pressure": "1013.25 hPa",
"Measurement uncertainty expl.": "+/-10 percents compared to standard",
"Zero/negative values code": "Zero/negative possible",
"Zero/negative values": "Zero and neg. values may appear due to statistical variations at very low concentrations",
"Organization": "FR04L, CNRS-LaMP, , , Campus des Cézeaux, 24 avenue des Landais, 63177, Aubière, France",
"Framework acronym": "ACTRIS, GAW-WDCA",
"Framework name": "European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, World Data Centre for Aerosols",
"Framework description": "ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.",
"Framework contact name": "Cathrine Lund Myhre, Markus Fiebig",
"Framework contact email": "clm@nilu.no, Markus.Fiebig@nilu.no",
"Originator": "Rose, Clemence, c.rose@opgc.fr, Centre National de la Recherche Scientifique, CNRS, Laboratoire de Meteorologie Physique, 4 avenue Blaise Pascal - TSA60026 CS60026, Campus des Cezeaux, 63178, Aubiere, France",
"Submitter": "Pascal, Nicolas, , , , , , , , , ",
"Acknowledgement": "For using this data for any kind of publications, you must contact the data originators, in terms of acknowledgment"
}Ground based in situ observations of cpc at Puy de Dôme (FR0030R). These measurements are gathered as a part of the following projects ACTRIS, GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: particle_number_concentration in aerosol (number_concentration_of_particles_in_dry_aerosol_particles_in_air), particle_number_concentration in aerosol (number_concentration_of_particles_in_dry_aerosol_particles_in_air), particle_number_concentration in aerosol (number_concentration_of_particles_in_dry_aerosol_particles_in_air)Karine Sellegri, Jean-Marc Pichon, David Picard, Clemence RoseFR04L, CNRS-LaMP, Campus des Cézeaux, 24 avenue des Landais, 63177, Aubière, Francek.sellegri@opgc.fr, , d.picard@opgc.univ-bpclermont.fr, c.rose@opgc.frebas.nilu.noWWW:LINKweb browserinformationpointOfContactaerosol GAW-WDCA particle_number_concentration FR0030R ACTRIS number_concentration_of_particles_in_dry_aerosol_particles_in_air Puy de DômethemeACTRIS, GAW-WDCAprojectNILU - Norwegian Institute for Air Research, ATMOS, EBASdataCenterstatus_flagstatus_flagnumber_concentration_of_particles_in_dry_aerosol_particles_in_airstatus_flagnumber_concentration_of_particles_in_dry_aerosol_particles_in_airstatus_flagnumber_concentration_of_particles_in_dry_aerosol_particles_in_airstatus_flagtimetimethemeCF-1.7, ACDD-1.3https://creativecommons.org/licenses/by/4.0/ACTRIS, GAW-WDCAlargerWorkCitationprojectUnidata Common Data ModelSTATIONlargerWorkCitationprojectengclimatologyMeteorologyAtmosphere12.9648862.96488645.77222345.772223seconds2015-01-01T00:30:00Z2022-12-31T23:30:00Z1465.01465.0Ground based in situ observations of cpc at Puy de Dôme (FR0030R)2023-05-30T07:22:44Zcreation2023-05-30T10:27:02.729ZrevisionKarine Sellegri, Jean-Marc Pichon, David Picard, Clemence RoseFR04L, CNRS-LaMP, Campus des Cézeaux, 24 avenue des Landais, 63177, Aubière, Francek.sellegri@opgc.fr, , d.picard@opgc.univ-bpclermont.fr, c.rose@opgc.frebas.nilu.noWWW:LINKweb browserinformationoriginatorNicolas Pascaldata submitterGround based in situ observations of cpc at Puy de Dôme (FR0030R). These measurements are gathered as a part of the following projects ACTRIS, GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: particle_number_concentration in aerosol (number_concentration_of_particles_in_dry_aerosol_particles_in_air), particle_number_concentration in aerosol (number_concentration_of_particles_in_dry_aerosol_particles_in_air), particle_number_concentration in aerosol (number_concentration_of_particles_in_dry_aerosol_particles_in_air)THREDDS OPeNDAP12.9648862.96488645.77222345.7722232015-01-01T00:30:00Z2022-12-31T23:30:00Z1465.01465.0tightOPeNDAP Client Accesshttp://thredds.nilu.no/thredds/dodsC/ebas/FR0030R.20150101000000.20230530072244.cpc...8y.1h.FR04L_cpc_TSI_3010.FR04L_TSI_3010_PUY.lev2.ncOPeNDAP:OPeNDAPOPeNDAPTHREDDS OPeNDAPdownloadGround based in situ observations of cpc at Puy de Dôme (FR0030R)2023-05-30T07:22:44Zcreation2023-05-30T10:27:02.729ZrevisionKarine Sellegri, Jean-Marc Pichon, David Picard, Clemence RoseFR04L, CNRS-LaMP, Campus des Cézeaux, 24 avenue des Landais, 63177, Aubière, Francek.sellegri@opgc.fr, , d.picard@opgc.univ-bpclermont.fr, c.rose@opgc.frebas.nilu.noWWW:LINKweb browserinformationoriginatorNicolas Pascaldata submitterGround based in situ observations of cpc at Puy de Dôme (FR0030R). These measurements are gathered as a part of the following projects ACTRIS, GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: particle_number_concentration in aerosol (number_concentration_of_particles_in_dry_aerosol_particles_in_air), particle_number_concentration in aerosol (number_concentration_of_particles_in_dry_aerosol_particles_in_air), particle_number_concentration in aerosol (number_concentration_of_particles_in_dry_aerosol_particles_in_air)THREDDS HTTP Service12.9648862.96488645.77222345.7722232015-01-01T00:30:00Z2022-12-31T23:30:00Z1465.01465.0tightFileHTTPServicehttp://thredds.nilu.no/thredds/fileServer/ebas/FR0030R.20150101000000.20230530072244.cpc...8y.1h.FR04L_cpc_TSI_3010.FR04L_TSI_3010_PUY.lev2.ncfileTHREDDS_HTTP_ServiceTHREDDS HTTP Servicedownloadtime_bndsdoubletime bounds for measurementmetadata_time_bndsdoubletime bounds for ebas metadata intervalspressuredoublepressure_qcint (status_flag)pressure_ebasmetadataStringebas metadata for different time intervals; json encodedtemperaturedoubletemperature_qcint (status_flag)temperature_ebasmetadataStringebas metadata for different time intervals; json encodedparticle_number_concentration_ameandouble (number_concentration_of_particles_in_dry_aerosol_particles_in_air)particle_number_concentration_amean_qcint (status_flag)particle_number_concentration_amean_ebasmetadataStringebas metadata for different time intervals; json encodedparticle_number_concentration_prec1587double (number_concentration_of_particles_in_dry_aerosol_particles_in_air)particle_number_concentration_prec1587_qcint (status_flag)particle_number_concentration_prec1587_ebasmetadataStringebas metadata for different time intervals; json encodedparticle_number_concentration_perc8413double (number_concentration_of_particles_in_dry_aerosol_particles_in_air)particle_number_concentration_perc8413_qcint (status_flag)particle_number_concentration_perc8413_ebasmetadataStringebas metadata for different time intervals; json encodedtimedoubletime of measurement (time)metadata_timedoubletime of ebas metadata intervals (time)LocationStringNILU - Norwegian Institute for Air Research, ATMOS, EBASebas@nilu.nohttps://www.nilu.no/WWW:LINKweb browserURL for the data publisherThis URL provides contact information for the publisher of this datasetinformationpublisherOPeNDAPhttp://thredds.nilu.no/thredds/dodsC/ebas/FR0030R.20150101000000.20230530072244.cpc...8y.1h.FR04L_cpc_TSI_3010.FR04L_TSI_3010_PUY.lev2.nc.htmlWWW:LINKFile InformationThis URL provides a standard OPeNDAP html interface for selecting data from this dataset. Change the extension to .info for a description of the dataset.downloadhttp://www.ncdc.noaa.gov/oa/wct/wct-jnlp-beta.php?singlefile=http://thredds.nilu.no/thredds/dodsC/ebas/FR0030R.20150101000000.20230530072244.cpc...8y.1h.FR04L_cpc_TSI_3010.FR04L_TSI_3010_PUY.lev2.ncWWW:LINKViewer InformationThis URL provides an NCDC climate and weather toolkit view of an OPeNDAP resource.mapDigitaldatasetNoneThis record was translated from NcML using UnidataDD2MI.xsl Version 2.3.4. (2023-05-30T12:38:39.72+02:00)
]]>
3info:srw/schema/1/example-v1.1xml:ISO19139:Fde.dwd.mosmix.10113engutf8datasetKai-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 Norderney (10113)2018-04-25creation2018-04-25publication2018-04-25revisionde.dwd.mosmix.10113http://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 Secretariatpublisher10113GermanyNorderneyplaceMeteorological geographical featuresGEMET - INSPIRE themes, version
1.02008-06-01publicationDewpointForecastMaximum TemperatureMinimum TemperaturePast weatherPrecipitationPresent weatherTemperatureVisibilityWindWind gustcloud coverdataParamWMOEssentialotherRestrictionsotherRestrictionsWMOEssentialengutf8climatologyMeteorologyAtmosphereThe product/data covers the following region/bounding box: south=53.665, north=53.755, west=7.105, east=7.1957.1057.19553.66553.7552018-04-25Z: Model Output Statistics for Norderney (10113)thematicClassificationkmzhttp://www.wmo.int/pages/prog/www/WMOCodes.htmlhttps://gisc.dwd.de/angular-frontend/xmlProductDetails;pid=de.dwd.mosmix.10113httpGISC 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:Fde.dwd.mosmix.10122engutf8datasetKai-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 Jever (10122)2018-04-25creation2018-04-25publication2018-04-25revisionde.dwd.mosmix.10122http://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 Secretariatpublisher10122GermanyJeverplaceMeteorological geographical featuresGEMET - INSPIRE themes, version
1.02008-06-01publicationDewpointForecastMaximum TemperatureMinimum TemperaturePast weatherPrecipitationPresent weatherTemperatureVisibilityWindWind gustcloud coverdataParamWMOEssentialotherRestrictionsotherRestrictionsWMOEssentialengutf8climatologyMeteorologyAtmosphereThe product/data covers the following region/bounding box: south=53.485, north=53.575, west=7.835, east=7.9257.8357.92553.48553.5752018-04-25Z: Model Output Statistics for Jever (10122)thematicClassificationkmzhttp://www.wmo.int/pages/prog/www/WMOCodes.htmlhttps://gisc.dwd.de/angular-frontend/xmlProductDetails;pid=de.dwd.mosmix.10122httpGISC 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.
]]>
561.1de.dwd.mosmix.1674115xmlhttps://sru.dwd.de/SRU2JDBC/