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type: PagedCollection
type: PartialCollectionView
last page: http://gdk.gdi-de.org/geonetwork/srv/api/records/
total items: 782943
next page: http://gdk.gdi-de.org/geonetwork/srv/api/records/
items per page: 10

My GeoNetwork catalogue
type: Catalog
label: My GeoNetwork catalogue (My organization)
open search description: eng/portal.opensearch
uri lookup endpoint: eng/rdf.search?any=
publisher: My organization
themes: Continents, countries, sea regions of the world.
language: eng
dataset: urn:x-wmo:md:int.wmo.wis::HTXG25EDZW
record: urn:x-wmo:md:int.wmo.wis::HTXG25EDZW
dataset: urn:x-wmo:md:int.wmo.wis::PEUX98EDZW
record: urn:x-wmo:md:int.wmo.wis::PEUX98EDZW
dataset: de.dwd.mosmix.10335
record: de.dwd.mosmix.10335
dataset: de.dwd.mosmix.06626
record: de.dwd.mosmix.06626
dataset: de.dwd.mosmix.10261
record: de.dwd.mosmix.10261
dataset: de.dwd.mosmix.08272
record: de.dwd.mosmix.08272
dataset: de.dwd.mosmix.13462
record: de.dwd.mosmix.13462
dataset: de.dwd.mosmix.11022b
record: de.dwd.mosmix.11022b
dataset: de.dwd.mosmix.11148
record: de.dwd.mosmix.11148
dataset: de.dwd.mosmix.14317
record: de.dwd.mosmix.14317
dataset: My organization
dataset: Continents, countries, sea regions of the world.
dataset: GTS Bulletin: HTXG25 EDZW - Grid point information (GRIB) (details are described in the abstract)
dataset: 00
dataset: 12
dataset: 250 hPa
dataset: GRIB Field
dataset: Temperature
dataset: meteorology
dataset: Global Area (area not definable)
dataset: Meteorological geographical features
dataset: GlobalExchange
dataset: Air priorities for the Earth's surface
dataset: meteorological
dataset: 03
dataset: 09
dataset: 15
dataset: 21
dataset: Dewpoint
dataset: Forecast
dataset: MOS
dataset: Maximum Temperature
dataset: Minimum Temperature
dataset: Model Output Statistics
dataset: Past weather
dataset: Precipitation
dataset: Present weather
dataset: Total cloud cover
dataset: Visibility
dataset: Wind
dataset: Wind gust
dataset: 10335
dataset: Bückeburg
dataset: Germany
dataset: cloud cover
dataset: 06626
dataset: GOESGEN (KKW)
dataset: Switzerland
dataset: 10261
dataset: Seehausen
dataset: 08272
dataset: Spain
dataset: TOLEDO-BUENAVISTA
dataset: 13462
dataset: Montenegro
dataset: PODGORICA (GOLUBOVCI)/MONTENEGRO
dataset: 11022b
dataset: Austria
dataset: RETZ/WINDMUEHLE
dataset: 11148
dataset: ST. MICHAEL IM LUNGAU
dataset: 14317
dataset: Croatia

My organization
type: Organization

Continents, countries, sea regions of the world.
type: ConceptScheme
uri: http://gdk.gdi-de.org/geonetwork/srv/eng/thesaurus.download

urn:x-wmo:md:int.wmo.wis::HTXG25EDZW
type: CatalogRecord
primary topic: urn:x-wmo:md:int.wmo.wis::HTXG25EDZW
conforms to: 32557.html
issued: 2018-02-05
modified: 2018-02-05

GTS Bulletin: HTXG25 EDZW - Grid point information (GRIB) (details are described in the abstract)
type: Dataset
abstract: The HTXG25 TTAAii Data Designators decode as: T1 (H): Grid point information (GRIB) T1T2 (HT): Temperature A1 (X): Global Area (area not definable) A2 (G): 36 hours forecast T1ii (H25): 250 hPa (Remarks from Volume-C: H+ 36 (GLOBAL MODEL) TEMPERATURE 250 HPA)
theme: 00
theme: 12
theme: 250 hPa
theme: GRIB Field
theme: Temperature
theme: meteorology
theme: Global Area (area not definable)
theme: Meteorological geographical features
theme: GlobalExchange
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
temporal: 2011-03-01Z /
issued: 2011-03-01Z
updated: 2018-02-05Z
publisher: Deutscher Wetterdienst
accrual periodicity: continual
language: eng
license: WMOEssential
license: GTSPriority3
distribution: GISC Offenbach, Deutscher Wetterdienst
data quality: High data quality controlled according to the procedures of the WIS

urn:x-wmo:md:int.wmo.wis::PEUX98EDZW
type: CatalogRecord
primary topic: urn:x-wmo:md:int.wmo.wis::PEUX98EDZW
conforms to: 32557.html
issued: 2018-02-05
modified: 2018-02-05

GTS Bulletin: PEUX98 EDZW - Pictorial information (Binary coded) (details are described in the abstract)
type: Dataset
abstract: The PEUX98 TTAAii Data Designators decode as: T1 (P): Pictorial information (Binary coded) T1T2 (PE): Precipitation A2 (X): Not assigned T1ii (P98): Air priorities for the Earth's surface (Remarks from Volume-C: H+78 RR 24-hour)
theme: 00
theme: 12
theme: Air priorities for the Earth's surface
theme: meteorological
theme: meteorology
theme: Meteorological geographical features
theme: GlobalExchange
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
temporal: 2014-01-21Z /
issued: 2014-01-21Z
updated: 2018-02-05Z
publisher: Deutscher Wetterdienst
accrual periodicity: continual
language: eng
license: WMOAdditional
license: GTSPriority3
distribution: GISC Offenbach, Deutscher Wetterdienst
data quality: High data quality controlled according to the procedures of the WIS

de.dwd.mosmix.10335
type: CatalogRecord
primary topic: de.dwd.mosmix.10335
conforms to: 32557.html
issued: 2018-04-25
modified: 2018-04-25

Model Output Statistics for Bückeburg (10335)
type: Dataset
abstract: 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 ]
theme: 03
theme: 09
theme: 15
theme: 21
theme: Dewpoint
theme: Forecast
theme: MOS
theme: Maximum Temperature
theme: Minimum Temperature
theme: Model Output Statistics
theme: Past weather
theme: Precipitation
theme: Present weather
theme: Temperature
theme: Total cloud cover
theme: Visibility
theme: Wind
theme: Wind gust
theme: meteorology
theme: 10335
theme: Bückeburg
theme: Germany
theme: Meteorological geographical features
theme: cloud cover
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
temporal: 2018-04-25Z /
issued: 2018-04-25
updated: 2018-04-25
publisher: Deutscher Wetterdienst
accrual periodicity: continual
language: eng
license: WMOEssential
distribution: GISC Offenbach, Deutscher Wetterdienst
data quality: High data quality controlled according to the procedures of the WIS

de.dwd.mosmix.06626
type: CatalogRecord
primary topic: de.dwd.mosmix.06626
conforms to: 32557.html
issued: 2018-04-25
modified: 2018-04-25

Model Output Statistics for GOESGEN (KKW) (06626)
type: Dataset
abstract: 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 ]
theme: 03
theme: 09
theme: 15
theme: 21
theme: Dewpoint
theme: Forecast
theme: MOS
theme: Maximum Temperature
theme: Minimum Temperature
theme: Model Output Statistics
theme: Past weather
theme: Precipitation
theme: Present weather
theme: Temperature
theme: Total cloud cover
theme: Visibility
theme: Wind
theme: Wind gust
theme: meteorology
theme: 06626
theme: GOESGEN (KKW)
theme: Switzerland
theme: Meteorological geographical features
theme: cloud cover
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
temporal: 2018-04-25Z /
issued: 2018-04-25
updated: 2018-04-25
publisher: Deutscher Wetterdienst
accrual periodicity: continual
language: eng
license: WMOEssential
distribution: GISC Offenbach, Deutscher Wetterdienst
data quality: High data quality controlled according to the procedures of the WIS

de.dwd.mosmix.10261
type: CatalogRecord
primary topic: de.dwd.mosmix.10261
conforms to: 32557.html
issued: 2018-04-25
modified: 2018-04-25

Model Output Statistics for Seehausen (10261)
type: Dataset
abstract: 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 ]
theme: 03
theme: 09
theme: 15
theme: 21
theme: Dewpoint
theme: Forecast
theme: MOS
theme: Maximum Temperature
theme: Minimum Temperature
theme: Model Output Statistics
theme: Past weather
theme: Precipitation
theme: Present weather
theme: Temperature
theme: Total cloud cover
theme: Visibility
theme: Wind
theme: Wind gust
theme: meteorology
theme: 10261
theme: Germany
theme: Seehausen
theme: Meteorological geographical features
theme: cloud cover
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
temporal: 2018-04-25Z /
issued: 2018-04-25
updated: 2018-04-25
publisher: Deutscher Wetterdienst
accrual periodicity: continual
language: eng
license: WMOEssential
distribution: GISC Offenbach, Deutscher Wetterdienst
data quality: High data quality controlled according to the procedures of the WIS

de.dwd.mosmix.08272
type: CatalogRecord
primary topic: de.dwd.mosmix.08272
conforms to: 32557.html
issued: 2018-04-25
modified: 2018-04-25

Model Output Statistics for TOLEDO-BUENAVISTA (08272)
type: Dataset
abstract: 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 ]
theme: 03
theme: 09
theme: 15
theme: 21
theme: Dewpoint
theme: Forecast
theme: MOS
theme: Maximum Temperature
theme: Minimum Temperature
theme: Model Output Statistics
theme: Past weather
theme: Precipitation
theme: Present weather
theme: Temperature
theme: Total cloud cover
theme: Visibility
theme: Wind
theme: Wind gust
theme: meteorology
theme: 08272
theme: Spain
theme: TOLEDO-BUENAVISTA
theme: Meteorological geographical features
theme: cloud cover
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
temporal: 2018-04-25Z /
issued: 2018-04-25
updated: 2018-04-25
publisher: Deutscher Wetterdienst
accrual periodicity: continual
language: eng
license: WMOEssential
distribution: GISC Offenbach, Deutscher Wetterdienst
data quality: High data quality controlled according to the procedures of the WIS

de.dwd.mosmix.13462
type: CatalogRecord
primary topic: de.dwd.mosmix.13462
conforms to: 32557.html
issued: 2018-04-25
modified: 2018-04-25

Model Output Statistics for PODGORICA (GOLUBOVCI)/MONTENEGRO (13462)
type: Dataset
abstract: 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 ]
theme: 03
theme: 09
theme: 15
theme: 21
theme: Dewpoint
theme: Forecast
theme: MOS
theme: Maximum Temperature
theme: Minimum Temperature
theme: Model Output Statistics
theme: Past weather
theme: Precipitation
theme: Present weather
theme: Temperature
theme: Total cloud cover
theme: Visibility
theme: Wind
theme: Wind gust
theme: meteorology
theme: 13462
theme: Montenegro
theme: PODGORICA (GOLUBOVCI)/MONTENEGRO
theme: Meteorological geographical features
theme: cloud cover
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
temporal: 2018-04-25Z /
issued: 2018-04-25
updated: 2018-04-25
publisher: Deutscher Wetterdienst
accrual periodicity: continual
language: eng
license: WMOEssential
distribution: GISC Offenbach, Deutscher Wetterdienst
data quality: High data quality controlled according to the procedures of the WIS

de.dwd.mosmix.11022b
type: CatalogRecord
primary topic: de.dwd.mosmix.11022b
conforms to: 32557.html
issued: 2018-04-25
modified: 2018-04-25

Model Output Statistics for RETZ/WINDMUEHLE (11022b)
type: Dataset
abstract: 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 ]
theme: 03
theme: 09
theme: 15
theme: 21
theme: Dewpoint
theme: Forecast
theme: MOS
theme: Maximum Temperature
theme: Minimum Temperature
theme: Model Output Statistics
theme: Past weather
theme: Precipitation
theme: Present weather
theme: Temperature
theme: Total cloud cover
theme: Visibility
theme: Wind
theme: Wind gust
theme: meteorology
theme: 11022b
theme: Austria
theme: RETZ/WINDMUEHLE
theme: Meteorological geographical features
theme: cloud cover
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
temporal: 2018-04-25Z /
issued: 2018-04-25
updated: 2018-04-25
publisher: Deutscher Wetterdienst
accrual periodicity: continual
language: eng
license: WMOEssential
distribution: GISC Offenbach, Deutscher Wetterdienst
data quality: High data quality controlled according to the procedures of the WIS

de.dwd.mosmix.11148
type: CatalogRecord
primary topic: de.dwd.mosmix.11148
conforms to: 32557.html
issued: 2018-04-25
modified: 2018-04-25

Model Output Statistics for ST. MICHAEL IM LUNGAU (11148)
type: Dataset
abstract: 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 ]
theme: 03
theme: 09
theme: 15
theme: 21
theme: Dewpoint
theme: Forecast
theme: MOS
theme: Maximum Temperature
theme: Minimum Temperature
theme: Model Output Statistics
theme: Past weather
theme: Precipitation
theme: Present weather
theme: Temperature
theme: Total cloud cover
theme: Visibility
theme: Wind
theme: Wind gust
theme: meteorology
theme: 11148
theme: Austria
theme: ST. MICHAEL IM LUNGAU
theme: Meteorological geographical features
theme: cloud cover
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
temporal: 2018-04-25Z /
issued: 2018-04-25
updated: 2018-04-25
publisher: Deutscher Wetterdienst
accrual periodicity: continual
language: eng
license: WMOEssential
distribution: GISC Offenbach, Deutscher Wetterdienst
data quality: High data quality controlled according to the procedures of the WIS

de.dwd.mosmix.14317
type: CatalogRecord
primary topic: de.dwd.mosmix.14317
conforms to: 32557.html
issued: 2018-04-25
modified: 2018-04-25

Model Output Statistics for RIJEKA-OMISALJ (14317)
type: Dataset
abstract: 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 ]
theme: 03
theme: 09
theme: 15
theme: 21
theme: Dewpoint
theme: Forecast
theme: MOS
theme: Maximum Temperature
theme: Minimum Temperature
theme: Model Output Statistics
theme: Past weather
theme: Precipitation
theme: Present weather
theme: Temperature
theme: Total cloud cover
theme: Visibility
theme: Wind
theme: Wind gust
theme: meteorology
theme: 14317
theme: Croatia
theme: RIJEKA-OMISALJ
theme: Meteorological geographical features
theme: cloud cover
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
temporal: 2018-04-25Z /
issued: 2018-04-25
updated: 2018-04-25
publisher: Deutscher Wetterdienst
accrual periodicity: continual
language: eng
license: WMOEssential
distribution: GISC Offenbach, Deutscher Wetterdienst
data quality: High data quality controlled according to the procedures of the WIS

00
type: Concept
in scheme: vocabularies

12
type: Concept
in scheme: vocabularies

250 hPa
type: Concept
in scheme: vocabularies

GRIB Field
type: Concept
in scheme: vocabularies

Temperature
type: Concept
in scheme: vocabularies

meteorology
type: Concept
in scheme: WMO CategoryCode

Global Area (area not definable)
type: Concept
in scheme: vocabularies

Meteorological geographical features
type: Concept
in scheme: GEMET - INSPIRE themes, version%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%201.0

GlobalExchange
type: Concept
in scheme: WMO DistributionScopeCode

Air priorities for the Earth's surface
type: Concept
in scheme: vocabularies

meteorological
type: Concept
in scheme: vocabularies

03
type: Concept
in scheme: vocabularies

09
type: Concept
in scheme: vocabularies

15
type: Concept
in scheme: vocabularies

21
type: Concept
in scheme: vocabularies

Dewpoint
type: Concept
in scheme: vocabularies

Forecast
type: Concept
in scheme: vocabularies

MOS
type: Concept
in scheme: vocabularies

Maximum Temperature
type: Concept
in scheme: vocabularies

Minimum Temperature
type: Concept
in scheme: vocabularies

Model Output Statistics
type: Concept
in scheme: vocabularies

Past weather
type: Concept
in scheme: vocabularies

Precipitation
type: Concept
in scheme: vocabularies

Present weather
type: Concept
in scheme: vocabularies

Total cloud cover
type: Concept
in scheme: vocabularies

Visibility
type: Concept
in scheme: vocabularies

Wind
type: Concept
in scheme: vocabularies

Wind gust
type: Concept
in scheme: vocabularies

10335
type: Concept
in scheme: vocabularies

Bückeburg
type: Concept
in scheme: vocabularies

Germany
type: Concept
in scheme: vocabularies

cloud cover
type: Concept
in scheme: vocabularies

06626
type: Concept
in scheme: vocabularies

GOESGEN (KKW)
type: Concept
in scheme: vocabularies

Switzerland
type: Concept
in scheme: vocabularies

10261
type: Concept
in scheme: vocabularies

Seehausen
type: Concept
in scheme: vocabularies

08272
type: Concept
in scheme: vocabularies

Spain
type: Concept
in scheme: vocabularies

TOLEDO-BUENAVISTA
type: Concept
in scheme: vocabularies

13462
type: Concept
in scheme: vocabularies

Montenegro
type: Concept
in scheme: vocabularies

PODGORICA (GOLUBOVCI)/MONTENEGRO
type: Concept
in scheme: vocabularies

11022b
type: Concept
in scheme: vocabularies

Austria
type: Concept
in scheme: vocabularies

RETZ/WINDMUEHLE
type: Concept
in scheme: vocabularies

11148
type: Concept
in scheme: vocabularies

ST. MICHAEL IM LUNGAU
type: Concept
in scheme: vocabularies

14317
type: Concept
in scheme: vocabularies

Croatia
type: Concept
in scheme: vocabularies

RIJEKA-OMISALJ
type: Concept
in scheme: vocabularies

GISC Offenbach, Deutscher Wetterdienst
type: Distribution
access URL: http://gisc.dwd.de/wisportal/
format: http
access URL: https://gisc.dwd.de/wisportal/

Deutscher Wetterdienst
type: Organization

WMO Secretariat
type: Organization

Kai-Thorsten Wirt
type: Agent

GISC Offenbach, Deutscher Wetterdienst
type: Distribution
access URL: http://gisc.dwd.de/wisportal/
format: http
access URL: https://gisc.dwd.de/wisportal/

GISC Offenbach, Deutscher Wetterdienst
type: Distribution
access URL: http://gisc.dwd.de/wisportal/
format: http
access URL: https://gisc.dwd.de/wisportal/

GISC Offenbach, Deutscher Wetterdienst
type: Distribution
access URL: http://gisc.dwd.de/wisportal/
format: http
access URL: https://gisc.dwd.de/wisportal/

GISC Offenbach, Deutscher Wetterdienst
type: Distribution
access URL: http://gisc.dwd.de/wisportal/
format: http
access URL: https://gisc.dwd.de/wisportal/

GISC Offenbach, Deutscher Wetterdienst
type: Distribution
access URL: http://gisc.dwd.de/wisportal/
format: http
access URL: https://gisc.dwd.de/wisportal/

GISC Offenbach, Deutscher Wetterdienst
type: Distribution
access URL: http://gisc.dwd.de/wisportal/
format: http
access URL: https://gisc.dwd.de/wisportal/

GISC Offenbach, Deutscher Wetterdienst
type: Distribution
access URL: http://gisc.dwd.de/wisportal/
format: http
access URL: https://gisc.dwd.de/wisportal/

GISC Offenbach, Deutscher Wetterdienst
type: Distribution
access URL: http://gisc.dwd.de/wisportal/
format: http
access URL: https://gisc.dwd.de/wisportal/

GISC Offenbach, Deutscher Wetterdienst
type: Distribution
access URL: http://gisc.dwd.de/wisportal/
format: http
access URL: https://gisc.dwd.de/wisportal/