1.1
2981
345095517
info:srw/schema/1/example-v1.1
xml:ISO19139:F
de.dwd.mosmix.78526
eng
utf8
dataset
Kai-Thorsten Wirt
Deutscher Wetterdienst
RTH FOCAL POINT
+49 (0) 69 8062-2546
Frankfurter Straße 135
Offenbach
63067
Germany
gisc@dwd.de
http://www.dwd.de
pointOfContact
2018-04-25T00:00:00Z
WMO Core Metadata Profile of ISO 19115 (WMO Core), 2003/Cor.1:2006 (ISO 19115), 2007 (ISO/TS 19139)
1.3
WGS 84
World Geodetic System
http://www.wmo.int/pages/prog/wis/2012/metadata/version_1-3/
WMO Core Profile version 1.3
Model Output Statistics for SAN JUAN AIRPORT (78526)
2018-04-25
creation
2018-04-25
publication
2018-04-25
revision
de.dwd.mosmix.78526
http://wis.wmo.int
Kai-Thorsten Wirt
Deutscher Wetterdienst
RTH FOCAL POINT
+49 (0) 69 8062-2546
Frankfurter Straße 135
Offenbach
63067
Germany
gisc@dwd.de
http://www.dwd.de
distributor
documentDigital
The dot notation recommended by WMO-CBS IPET-MDRD is used to build the code identifier
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 ]
NC/DCPC
Kai-Thorsten Wirt
Deutscher Wetterdienst
Focal Point
T+49 69 8062 2546
Frankfurter Straße 135
OFFENBACH
63067
Germany
gisc@dwd.de
originator
continual
dataset
The details of the update frequence are described in the temporalElement
03
09
15
21
temporal
Dewpoint
Forecast
MOS
Maximum Temperature
Minimum Temperature
Model Output Statistics
Past weather
Precipitation
Present weather
Temperature
Total cloud cover
Visibility
Wind
Wind gust
theme
meteorology
theme
WMO_CategoryCode
2012-06-27
revision
Codelists for description of metadata datasets compliant with the WMO Core
Metadata Profile version 1.3 [http://wis.wmo.int/2013/codelists/WMOCodeLists.xml]
2012-06-27
revision
WMO_CategoryCode
WMO Secretariat
publisher
78526
Puerto Rico
SAN JUAN AIRPORT
place
Meteorological geographical features
GEMET - INSPIRE themes, version
1.0
2008-06-01
publication
Dewpoint
Forecast
Maximum Temperature
Minimum Temperature
Past weather
Precipitation
Present weather
Temperature
Visibility
Wind
Wind gust
cloud cover
dataParam
WMOEssential
otherRestrictions
otherRestrictions
WMOEssential
eng
utf8
climatologyMeteorologyAtmosphere
The product/data covers the following region/bounding box: south=18.385, north=18.475, west=-66.035, east=-65.945
-66.035
-65.945
18.385
18.475
2018-04-25Z
: Model Output Statistics for SAN JUAN AIRPORT (78526)
thematicClassification
kmz
http://www.wmo.int/pages/prog/www/WMOCodes.html
https://gisc.dwd.de/angular-frontend/xmlProductDetails;pid=de.dwd.mosmix.78526
http
GISC Offenbach, Deutscher Wetterdienst
WMO Information System, download products/data through GISC Offenbach, Deutscher Wetterdienst
dataset
INSPIRE Data Specification on Meteorological geographical features
2010-12-08
publication
See the referenced specification
true
High data quality controlled according to the procedures of the WIS
This 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.
]]>
1
info:srw/schema/1/example-v1.1
xml:ISO19139:F
ebas:DE0002R.20131231230000.20221219151357.high_vol_sampler.pm1_mass.pm1.8y.1d.DE03L_UBA_Wa_HVS_0003.DE28L_UBA_Sm_FWg_0001.lev2.nc
eng
UTF8
dataset
service
Elke Bieber, Julian Rüdiger
DE03L, Umweltbundesamt, UBA-LA, Langen, Paul-Ehrlich-Str. 29, 63225, Langen, Germany
, julian.ruediger@uba.de
ebas.nilu.no
WWW:LINK
web browser
information
pointOfContact
2022-12-19
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
1
temporal
2556
98776.0
area
Ground based in situ observations of pm1_mass at Waldhof (DE0002R) using high_vol_sampler
2022-12-19T15:13:57Z
creation
2022-12-19T16:31:51.115Z
revision
EBAS
EBAS/DE0002R.20131231230000.20221219151357.high_vol_sampler.pm1_mass.pm1.8y.1d.DE03L_UBA_Wa_HVS_0003.DE28L_UBA_Sm_FWg_0001.lev2.nc
Elke Bieber, Julian Rüdiger
DE03L, Umweltbundesamt, UBA-LA, Langen, Paul-Ehrlich-Str. 29, 63225, Langen, Germany
, julian.ruediger@uba.de
ebas.nilu.no
WWW:LINK
web browser
information
originator
Anke Penzlin, Stefan Feigenspan
data submitter, data submitter
{
"Data definition": "EBAS_1.1",
"Data license": "https://creativecommons.org/licenses/by/4.0/",
"Set type code": "TI",
"Timezone": "UTC",
"File name": "DE0002R.20131231230000.20221219151357.high_vol_sampler.pm1_mass.pm1.8y.1d.DE03L_UBA_Wa_HVS_0003.DE28L_UBA_Sm_FWg_0001.lev2.nc",
"File creation": "2022-12-19T16:31:50.978526 UTC",
"Export state": "2022-12-19T16:14:44.182839 UTC",
"Export filter": "exclude-900,exclude-invalid",
"Startdate": "20131231230000",
"Revision date": "20221219151357",
"Version": "1",
"Version description": "initial revision, automatically generated, manually inspected",
"Statistics": "arithmetic mean",
"Data level": "2",
"Period code": "8y",
"Resolution code": "1d",
"Sample duration": "1d",
"Orig. time res.": "1d",
"Station code": "DE0002R",
"Platform code": "DE0002S",
"Station name": "Waldhof",
"Station latitude": "52.802222",
"Station longitude": "10.759444",
"Station altitude": "74.0 m",
"Measurement height": "2.1 m",
"Regime": "IMG",
"Component": "pm1_mass",
"Unit": "ug/m3",
"Matrix": "pm1",
"Laboratory code": "DE03L",
"Instrument type": "high_vol_sampler",
"Instrument name": "UBA_Wa_HVS_0003",
"Instrument manufacturer": "DIGITEL",
"Instrument model": "DHA-80",
"Method ref": "DE28L_UBA_Sm_FWg_0001",
"Standard method": "SOP=EMEP_manual_v2014",
"Inlet type": "Impactor--direct",
"Inlet description": "PM 1, upward facing",
"Medium": "Glass fiber",
"Sample preparation": "Temperature and humidity equilibration",
"Humidity/temperature control": "None",
"Humidity/temperature control description": "filter kept at ambient conditions",
"Volume std. temperature": "273.15 K",
"Volume std. pressure": "1013.25 hPa",
"Zero/negative values code": "Zero/negative impossible",
"Organization": "DE03L, Umweltbundesamt, UBA-LA, Langen, Paul-Ehrlich-Str. 29, , 63225, Langen, Germany",
"Framework acronym": "EMEP",
"Framework name": "European Monitoring and Evaluation Programme",
"Framework description": "The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems.",
"Framework contact name": "Kjetil Tørseth",
"Framework contact email": "kt@nilu.no",
"Originator": "Rüdiger, Julian, julian.ruediger@uba.de, Umweltbundesamt Langen, UBA, Air Monitoring Network, Paul-Ehrlich-Str. 29, , 63225, Langen, Germany",
"Submitter": "Feigenspan, Stefan, stefan.feigenspan@uba.de, Umweltbundesamt, UBA, Air Quality Assessment, Woerlitzer Platz 1, , 06844, Dessau-Rosslau, Germany",
"Acknowledgement": "Request acknowledgement details from data originator"
}
Ground based in situ observations of pm1_mass at Waldhof (DE0002R) using high_vol_sampler. These measurements are gathered as a part of the following projects EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: pm1_mass in pm1 (mass_concentration_of_pm1_ambient_aerosol_particles_in_air)
Elke Bieber, Julian Rüdiger
DE03L, Umweltbundesamt, UBA-LA, Langen, Paul-Ehrlich-Str. 29, 63225, Langen, Germany
, julian.ruediger@uba.de
ebas.nilu.no
WWW:LINK
web browser
information
pointOfContact
DE0002R
pm1
Waldhof
pm1_mass
mass_concentration_of_pm1_ambient_aerosol_particles_in_air
EMEP
theme
EMEP
project
NILU - Norwegian Institute for Air Research, ATMOS, EBAS
dataCenter
mass_concentration_of_pm1_ambient_aerosol_particles_in_air
status_flag
time
time
theme
CF-1.7, ACDD-1.3
https://creativecommons.org/licenses/by/4.0/
EMEP
largerWorkCitation
project
Unidata Common Data Model
STATION
largerWorkCitation
project
eng
climatologyMeteorologyAtmosphere
1
10.759444
10.759444
52.802222
52.802222
seconds
2014-01-01T11:00:00Z
2021-12-31T11:00:00Z
74.0
74.0
Ground based in situ observations of pm1_mass at Waldhof (DE0002R) using high_vol_sampler
2022-12-19T15:13:57Z
creation
2022-12-19T16:31:51.115Z
revision
Elke Bieber, Julian Rüdiger
DE03L, Umweltbundesamt, UBA-LA, Langen, Paul-Ehrlich-Str. 29, 63225, Langen, Germany
, julian.ruediger@uba.de
ebas.nilu.no
WWW:LINK
web browser
information
originator
Anke Penzlin, Stefan Feigenspan
data submitter, data submitter
Ground based in situ observations of pm1_mass at Waldhof (DE0002R) using high_vol_sampler. These measurements are gathered as a part of the following projects EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: pm1_mass in pm1 (mass_concentration_of_pm1_ambient_aerosol_particles_in_air)
THREDDS OPeNDAP
1
10.759444
10.759444
52.802222
52.802222
2014-01-01T11:00:00Z
2021-12-31T11:00:00Z
74.0
74.0
tight
OPeNDAP Client Access
http://thredds.nilu.no/thredds/dodsC/ebas/DE0002R.20131231230000.20221219151357.high_vol_sampler.pm1_mass.pm1.8y.1d.DE03L_UBA_Wa_HVS_0003.DE28L_UBA_Sm_FWg_0001.lev2.nc
OPeNDAP:OPeNDAP
OPeNDAP
THREDDS OPeNDAP
download
Ground based in situ observations of pm1_mass at Waldhof (DE0002R) using high_vol_sampler
2022-12-19T15:13:57Z
creation
2022-12-19T16:31:51.115Z
revision
Elke Bieber, Julian Rüdiger
DE03L, Umweltbundesamt, UBA-LA, Langen, Paul-Ehrlich-Str. 29, 63225, Langen, Germany
, julian.ruediger@uba.de
ebas.nilu.no
WWW:LINK
web browser
information
originator
Anke Penzlin, Stefan Feigenspan
data submitter, data submitter
Ground based in situ observations of pm1_mass at Waldhof (DE0002R) using high_vol_sampler. These measurements are gathered as a part of the following projects EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: pm1_mass in pm1 (mass_concentration_of_pm1_ambient_aerosol_particles_in_air)
THREDDS HTTP Service
1
10.759444
10.759444
52.802222
52.802222
2014-01-01T11:00:00Z
2021-12-31T11:00:00Z
74.0
74.0
tight
FileHTTPService
http://thredds.nilu.no/thredds/fileServer/ebas/DE0002R.20131231230000.20221219151357.high_vol_sampler.pm1_mass.pm1.8y.1d.DE03L_UBA_Wa_HVS_0003.DE28L_UBA_Sm_FWg_0001.lev2.nc
file
THREDDS_HTTP_Service
THREDDS HTTP Service
download
time_bnds
double
time bounds for measurement
metadata_time_bnds
double
time bounds for ebas metadata intervals
pm1_mass
double
(mass_concentration_of_pm1_ambient_aerosol_particles_in_air)
pm1_mass_ebasmetadata
String
ebas metadata for different time intervals; json encoded
pm1_mass_qc
int
(status_flag)
time
double
time of measurement (time)
metadata_time
double
time of ebas metadata intervals (time)
NILU - Norwegian Institute for Air Research, ATMOS, EBAS
ebas@nilu.no
https://www.nilu.no/
WWW:LINK
web browser
URL for the data publisher
This URL provides contact information for the publisher of this dataset
information
publisher
OPeNDAP
http://thredds.nilu.no/thredds/dodsC/ebas/DE0002R.20131231230000.20221219151357.high_vol_sampler.pm1_mass.pm1.8y.1d.DE03L_UBA_Wa_HVS_0003.DE28L_UBA_Sm_FWg_0001.lev2.nc.html
WWW:LINK
File Information
This URL provides a standard OPeNDAP html interface for selecting data from this dataset. Change the extension to .info for a description of the dataset.
download
http://www.ncdc.noaa.gov/oa/wct/wct-jnlp-beta.php?singlefile=http://thredds.nilu.no/thredds/dodsC/ebas/DE0002R.20131231230000.20221219151357.high_vol_sampler.pm1_mass.pm1.8y.1d.DE03L_UBA_Wa_HVS_0003.DE28L_UBA_Sm_FWg_0001.lev2.nc
WWW:LINK
Viewer Information
This URL provides an NCDC climate and weather toolkit view of an OPeNDAP resource.
mapDigital
dataset
None
This record was translated from NcML using UnidataDD2MI.xsl Version 2.3.4. (2022-12-19T17:57:37.276+01:00)
]]>
2
info:srw/schema/1/example-v1.1
xml:ISO19139:F
de.dwd.mosmix.10113
eng
utf8
dataset
Kai-Thorsten Wirt
Deutscher Wetterdienst
RTH FOCAL POINT
+49 (0) 69 8062-2546
Frankfurter Straße 135
Offenbach
63067
Germany
gisc@dwd.de
http://www.dwd.de
pointOfContact
2018-04-25T00:00:00Z
WMO Core Metadata Profile of ISO 19115 (WMO Core), 2003/Cor.1:2006 (ISO 19115), 2007 (ISO/TS 19139)
1.3
WGS 84
World Geodetic System
http://www.wmo.int/pages/prog/wis/2012/metadata/version_1-3/
WMO Core Profile version 1.3
Model Output Statistics for Norderney (10113)
2018-04-25
creation
2018-04-25
publication
2018-04-25
revision
de.dwd.mosmix.10113
http://wis.wmo.int
Kai-Thorsten Wirt
Deutscher Wetterdienst
RTH FOCAL POINT
+49 (0) 69 8062-2546
Frankfurter Straße 135
Offenbach
63067
Germany
gisc@dwd.de
http://www.dwd.de
distributor
documentDigital
The dot notation recommended by WMO-CBS IPET-MDRD is used to build the code identifier
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 ]
NC/DCPC
Kai-Thorsten Wirt
Deutscher Wetterdienst
Focal Point
T+49 69 8062 2546
Frankfurter Straße 135
OFFENBACH
63067
Germany
gisc@dwd.de
originator
continual
dataset
The details of the update frequence are described in the temporalElement
03
09
15
21
temporal
Dewpoint
Forecast
MOS
Maximum Temperature
Minimum Temperature
Model Output Statistics
Past weather
Precipitation
Present weather
Temperature
Total cloud cover
Visibility
Wind
Wind gust
theme
meteorology
theme
WMO_CategoryCode
2012-06-27
revision
Codelists for description of metadata datasets compliant with the WMO Core
Metadata Profile version 1.3 [http://wis.wmo.int/2013/codelists/WMOCodeLists.xml]
2012-06-27
revision
WMO_CategoryCode
WMO Secretariat
publisher
10113
Germany
Norderney
place
Meteorological geographical features
GEMET - INSPIRE themes, version
1.0
2008-06-01
publication
Dewpoint
Forecast
Maximum Temperature
Minimum Temperature
Past weather
Precipitation
Present weather
Temperature
Visibility
Wind
Wind gust
cloud cover
dataParam
WMOEssential
otherRestrictions
otherRestrictions
WMOEssential
eng
utf8
climatologyMeteorologyAtmosphere
The product/data covers the following region/bounding box: south=53.665, north=53.755, west=7.105, east=7.195
7.105
7.195
53.665
53.755
2018-04-25Z
: Model Output Statistics for Norderney (10113)
thematicClassification
kmz
http://www.wmo.int/pages/prog/www/WMOCodes.html
https://gisc.dwd.de/angular-frontend/xmlProductDetails;pid=de.dwd.mosmix.10113
http
GISC Offenbach, Deutscher Wetterdienst
WMO Information System, download products/data through GISC Offenbach, Deutscher Wetterdienst
dataset
INSPIRE Data Specification on Meteorological geographical features
2010-12-08
publication
See the referenced specification
true
High data quality controlled according to the procedures of the WIS
This 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.
]]>
3
info:srw/schema/1/example-v1.1
xml:ISO19139:F
de.dwd.mosmix.10122
eng
utf8
dataset
Kai-Thorsten Wirt
Deutscher Wetterdienst
RTH FOCAL POINT
+49 (0) 69 8062-2546
Frankfurter Straße 135
Offenbach
63067
Germany
gisc@dwd.de
http://www.dwd.de
pointOfContact
2018-04-25T00:00:00Z
WMO Core Metadata Profile of ISO 19115 (WMO Core), 2003/Cor.1:2006 (ISO 19115), 2007 (ISO/TS 19139)
1.3
WGS 84
World Geodetic System
http://www.wmo.int/pages/prog/wis/2012/metadata/version_1-3/
WMO Core Profile version 1.3
Model Output Statistics for Jever (10122)
2018-04-25
creation
2018-04-25
publication
2018-04-25
revision
de.dwd.mosmix.10122
http://wis.wmo.int
Kai-Thorsten Wirt
Deutscher Wetterdienst
RTH FOCAL POINT
+49 (0) 69 8062-2546
Frankfurter Straße 135
Offenbach
63067
Germany
gisc@dwd.de
http://www.dwd.de
distributor
documentDigital
The dot notation recommended by WMO-CBS IPET-MDRD is used to build the code identifier
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 ]
NC/DCPC
Kai-Thorsten Wirt
Deutscher Wetterdienst
Focal Point
T+49 69 8062 2546
Frankfurter Straße 135
OFFENBACH
63067
Germany
gisc@dwd.de
originator
continual
dataset
The details of the update frequence are described in the temporalElement
03
09
15
21
temporal
Dewpoint
Forecast
MOS
Maximum Temperature
Minimum Temperature
Model Output Statistics
Past weather
Precipitation
Present weather
Temperature
Total cloud cover
Visibility
Wind
Wind gust
theme
meteorology
theme
WMO_CategoryCode
2012-06-27
revision
Codelists for description of metadata datasets compliant with the WMO Core
Metadata Profile version 1.3 [http://wis.wmo.int/2013/codelists/WMOCodeLists.xml]
2012-06-27
revision
WMO_CategoryCode
WMO Secretariat
publisher
10122
Germany
Jever
place
Meteorological geographical features
GEMET - INSPIRE themes, version
1.0
2008-06-01
publication
Dewpoint
Forecast
Maximum Temperature
Minimum Temperature
Past weather
Precipitation
Present weather
Temperature
Visibility
Wind
Wind gust
cloud cover
dataParam
WMOEssential
otherRestrictions
otherRestrictions
WMOEssential
eng
utf8
climatologyMeteorologyAtmosphere
The product/data covers the following region/bounding box: south=53.485, north=53.575, west=7.835, east=7.925
7.835
7.925
53.485
53.575
2018-04-25Z
: Model Output Statistics for Jever (10122)
thematicClassification
kmz
http://www.wmo.int/pages/prog/www/WMOCodes.html
https://gisc.dwd.de/angular-frontend/xmlProductDetails;pid=de.dwd.mosmix.10122
http
GISC Offenbach, Deutscher Wetterdienst
WMO Information System, download products/data through GISC Offenbach, Deutscher Wetterdienst
dataset
INSPIRE Data Specification on Meteorological geographical features
2010-12-08
publication
See the referenced specification
true
High data quality controlled according to the procedures of the WIS
This 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.
]]>
4
info:srw/schema/1/example-v1.1
xml:ISO19139:F
de.dwd.mosmix.10126
eng
utf8
dataset
Kai-Thorsten Wirt
Deutscher Wetterdienst
RTH FOCAL POINT
+49 (0) 69 8062-2546
Frankfurter Straße 135
Offenbach
63067
Germany
gisc@dwd.de
http://www.dwd.de
pointOfContact
2018-04-25T00:00:00Z
WMO Core Metadata Profile of ISO 19115 (WMO Core), 2003/Cor.1:2006 (ISO 19115), 2007 (ISO/TS 19139)
1.3
WGS 84
World Geodetic System
http://www.wmo.int/pages/prog/wis/2012/metadata/version_1-3/
WMO Core Profile version 1.3
Model Output Statistics for Wittmundhafen (10126)
2018-04-25
creation
2018-04-25
publication
2018-04-25
revision
de.dwd.mosmix.10126
http://wis.wmo.int
Kai-Thorsten Wirt
Deutscher Wetterdienst
RTH FOCAL POINT
+49 (0) 69 8062-2546
Frankfurter Straße 135
Offenbach
63067
Germany
gisc@dwd.de
http://www.dwd.de
distributor
documentDigital
The dot notation recommended by WMO-CBS IPET-MDRD is used to build the code identifier
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 ]
NC/DCPC
Kai-Thorsten Wirt
Deutscher Wetterdienst
Focal Point
T+49 69 8062 2546
Frankfurter Straße 135
OFFENBACH
63067
Germany
gisc@dwd.de
originator
continual
dataset
The details of the update frequence are described in the temporalElement
03
09
15
21
temporal
Dewpoint
Forecast
MOS
Maximum Temperature
Minimum Temperature
Model Output Statistics
Past weather
Precipitation
Present weather
Temperature
Total cloud cover
Visibility
Wind
Wind gust
theme
meteorology
theme
WMO_CategoryCode
2012-06-27
revision
Codelists for description of metadata datasets compliant with the WMO Core
Metadata Profile version 1.3 [http://wis.wmo.int/2013/codelists/WMOCodeLists.xml]
2012-06-27
revision
WMO_CategoryCode
WMO Secretariat
publisher
10126
Germany
Wittmundhafen
place
Meteorological geographical features
GEMET - INSPIRE themes, version
1.0
2008-06-01
publication
Dewpoint
Forecast
Maximum Temperature
Minimum Temperature
Past weather
Precipitation
Present weather
Temperature
Visibility
Wind
Wind gust
cloud cover
dataParam
WMOEssential
otherRestrictions
otherRestrictions
WMOEssential
eng
utf8
climatologyMeteorologyAtmosphere
The product/data covers the following region/bounding box: south=53.505, north=53.595, west=7.625, east=7.715
7.625
7.715
53.505
53.595
2018-04-25Z
: Model Output Statistics for Wittmundhafen (10126)
thematicClassification
kmz
http://www.wmo.int/pages/prog/www/WMOCodes.html
https://gisc.dwd.de/angular-frontend/xmlProductDetails;pid=de.dwd.mosmix.10126
http
GISC Offenbach, Deutscher Wetterdienst
WMO Information System, download products/data through GISC Offenbach, Deutscher Wetterdienst
dataset
INSPIRE Data Specification on Meteorological geographical features
2010-12-08
publication
See the referenced specification
true
High data quality controlled according to the procedures of the WIS
This 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.
]]>
5
6
1.1
de.dwd.mosmix.78526
1
5
xml
https://sru.dwd.de/SRU2JDBC/