1.1
2984
1059259523
info:srw/schema/1/example-v1.1
xml:ISO19139:F
de.dwd.mosmix.54527
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 TIANJIN (54527)
2018-04-25
creation
2018-04-25
publication
2018-04-25
revision
de.dwd.mosmix.54527
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
54527
China
TIANJIN
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=39.055, north=39.145, west=117.125, east=117.215
117.125
117.215
39.055
39.145
2018-04-25Z
: Model Output Statistics for TIANJIN (54527)
thematicClassification
kmz
http://www.wmo.int/pages/prog/www/WMOCodes.html
https://gisc.dwd.de/angular-frontend/xmlProductDetails;pid=de.dwd.mosmix.54527
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:IT0019R.20170101000000.20201123154527.chemiluminescence_photolytic.NOx.air.3y.1h.IT15L_PARAMCD2_IDSTAZ63.IT15L_chem_photol.lev2.nc
eng
UTF8
dataset
service
Monica Angelucci
IT15L, Arpa Umbria - Umbria Regional Agency for Environmental Protection, ARPA-Umbria, Via Pievaiola 207/B-3, 06132, Perugia, Italy
m.angelucci@arpa.umbria.it
ebas.nilu.no
WWW:LINK
web browser
information
pointOfContact
2021-02-11
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
1
temporal
26280
3600.0
area
Ground based in situ observations of NOx at Monte Martano (IT0019R) using chemiluminescence_photolytic
2020-11-23T15:45:27Z
creation
2020-11-23T19:32:45.579Z
revision
EBAS
EBAS/IT0019R.20170101000000.20201123154527.chemiluminescence_photolytic.NOx.air.3y.1h.IT15L_PARAMCD2_IDSTAZ63.IT15L_chem_photol.lev2.nc
Monica Angelucci
IT15L, Arpa Umbria - Umbria Regional Agency for Environmental Protection, ARPA-Umbria, Via Pievaiola 207/B-3, 06132, Perugia, Italy
m.angelucci@arpa.umbria.it
ebas.nilu.no
WWW:LINK
web browser
information
originator
Monica Angelucci, David Cappelletti
data submitter, data submitter
{
"Data definition": "EBAS_1.1",
"Set type code": "TI",
"Timezone": "UTC",
"File name": "IT0019R.20170101000000.20201123154527.chemiluminescence_photolytic.NOx.air.3y.1h.IT15L_PARAMCD2_IDSTAZ63.IT15L_chem_photol.lev2.nc",
"File creation": "20201123193243",
"Startdate": "20170101000000",
"Revision date": "20201123154527",
"Version": "1",
"Version description": "initial revision, manually inspected",
"Statistics": "arithmetic mean",
"Data level": "2",
"Period code": "3y",
"Resolution code": "1h",
"Sample duration": "1h",
"Station code": "IT0019R",
"Platform code": "IT0019S",
"Station name": "Monte Martano",
"Station land use": "Grassland",
"Station setting": "Mountain",
"Station latitude": "42.805462",
"Station longitude": "12.565645",
"Station altitude": "1090.0 m",
"Measurement latitude": "42.805462",
"Measurement longitude": "12.565645",
"Measurement altitude": "1092.0 m",
"Regime": "IMG",
"Component": "NOx",
"Matrix": "air",
"Laboratory code": "IT15L",
"Instrument type": "chemiluminescence_photolytic",
"Instrument name": "PARAMCD2_IDSTAZ63",
"Instrument manufacturer": "Teledyne",
"Instrument model": "T200UP",
"Instrument serial number": "305",
"Method ref": "IT15L_chem_photol",
"Standard method": "None",
"Zero/negative values code": "Zero/negative impossible",
"Zero/negative values": "Zero and neg. values may not appear",
"Organization": "IT15L, Arpa Umbria - Umbria Regional Agency for Environmental Protection, ARPA-Umbria, , Via Pievaiola 207/B-3, , 06132, Perugia, Italy",
"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": "Angelucci, Monica, m.angelucci@arpa.umbria.it, Arpa Umbria - Umbria Regional Agency for Environmental Protection, ARPA-Umbria, Sezione chimica Aria, Via Pievaiola 207/B-3, , 06132, Perugia, Italy",
"Submitter": "Cappelletti, David, david.cappelletti@unipg.it, University of Perugia, UNIPG, Department of Chemistry Biology and Biotechnology, Via Elce di Sotto 8, , 06123, Perugia, Italy",
"Acknowledgement": "Request acknowledgement details from data originator"
}
Ground based in situ observations of NOx at Monte Martano (IT0019R) using chemiluminescence_photolytic. 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: NOx in air (mole_fraction_of_nox_in_air), NOx in air (mass_concentration_of_nox_expressed_as_nitrogen_in_air)
Monica Angelucci
IT15L, Arpa Umbria - Umbria Regional Agency for Environmental Protection, ARPA-Umbria, Via Pievaiola 207/B-3, 06132, Perugia, Italy
m.angelucci@arpa.umbria.it
ebas.nilu.no
WWW:LINK
web browser
information
pointOfContact
Monte Martano
mole_fraction_of_nox_in_air
mass_concentration_of_nox_expressed_as_nitrogen_in_air
NOx
EMEP
air
IT0019R
theme
EMEP
project
NILU - Norwegian Institute for Air Research, ATMOS, EBAS
dataCenter
status_flag
mass_concentration_of_nox_expressed_as_nitrogen_in_air
mole_fraction_of_nox_in_air
status_flag
time
time
theme
CF-1.7, ACDD-1.3
EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
EMEP
largerWorkCitation
project
Unidata Common Data Model
STATION
largerWorkCitation
project
eng
climatologyMeteorologyAtmosphere
1
12.565645
12.565645
42.805462
42.805462
seconds
2017-01-01T00:29:59Z
2019-12-31T23:30:00Z
1092.0
1092.0
Ground based in situ observations of NOx at Monte Martano (IT0019R) using chemiluminescence_photolytic
2020-11-23T15:45:27Z
creation
2020-11-23T19:32:45.579Z
revision
Monica Angelucci
IT15L, Arpa Umbria - Umbria Regional Agency for Environmental Protection, ARPA-Umbria, Via Pievaiola 207/B-3, 06132, Perugia, Italy
m.angelucci@arpa.umbria.it
ebas.nilu.no
WWW:LINK
web browser
information
originator
Monica Angelucci, David Cappelletti
data submitter, data submitter
Ground based in situ observations of NOx at Monte Martano (IT0019R) using chemiluminescence_photolytic. 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: NOx in air (mole_fraction_of_nox_in_air), NOx in air (mass_concentration_of_nox_expressed_as_nitrogen_in_air)
THREDDS OPeNDAP
1
12.565645
12.565645
42.805462
42.805462
2017-01-01T00:29:59Z
2019-12-31T23:30:00Z
1092.0
1092.0
tight
OPeNDAP Client Access
http://thredds.nilu.no/thredds/dodsC/ebas/IT0019R.20170101000000.20201123154527.chemiluminescence_photolytic.NOx.air.3y.1h.IT15L_PARAMCD2_IDSTAZ63.IT15L_chem_photol.lev2.nc
OPeNDAP:OPeNDAP
OPeNDAP
THREDDS OPeNDAP
download
Ground based in situ observations of NOx at Monte Martano (IT0019R) using chemiluminescence_photolytic
2020-11-23T15:45:27Z
creation
2020-11-23T19:32:45.579Z
revision
Monica Angelucci
IT15L, Arpa Umbria - Umbria Regional Agency for Environmental Protection, ARPA-Umbria, Via Pievaiola 207/B-3, 06132, Perugia, Italy
m.angelucci@arpa.umbria.it
ebas.nilu.no
WWW:LINK
web browser
information
originator
Monica Angelucci, David Cappelletti
data submitter, data submitter
Ground based in situ observations of NOx at Monte Martano (IT0019R) using chemiluminescence_photolytic. 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: NOx in air (mole_fraction_of_nox_in_air), NOx in air (mass_concentration_of_nox_expressed_as_nitrogen_in_air)
THREDDS HTTP Service
1
12.565645
12.565645
42.805462
42.805462
2017-01-01T00:29:59Z
2019-12-31T23:30:00Z
1092.0
1092.0
tight
FileHTTPService
http://thredds.nilu.no/thredds/fileServer/ebas/IT0019R.20170101000000.20201123154527.chemiluminescence_photolytic.NOx.air.3y.1h.IT15L_PARAMCD2_IDSTAZ63.IT15L_chem_photol.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
NOx_nmol_per_mol_ebasmetadata
String
ebas metadata for different time intervals; json encoded
NOx_nmol_per_mol_qc
int
(status_flag)
NOx_ug_N_per_m3
double
(mass_concentration_of_nox_expressed_as_nitrogen_in_air)
NOx_ug_N_per_m3_ebasmetadata
String
ebas metadata for different time intervals; json encoded
NOx_nmol_per_mol
double
(mole_fraction_of_nox_in_air)
NOx_ug_N_per_m3_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/IT0019R.20170101000000.20201123154527.chemiluminescence_photolytic.NOx.air.3y.1h.IT15L_PARAMCD2_IDSTAZ63.IT15L_chem_photol.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/IT0019R.20170101000000.20201123154527.chemiluminescence_photolytic.NOx.air.3y.1h.IT15L_PARAMCD2_IDSTAZ63.IT15L_chem_photol.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. (2021-02-11T14:35:04.362+01:00)
]]>
2
info:srw/schema/1/example-v1.1
xml:ISO19139:F
urn:x-wmo:md:int.wmo.wis::ISMN37BABJ
eng
utf8
dataset
>Others>other
Zhu Ting
China Meteorological Administration
Telecommunication Division
86-10-58993021
86-10-62186241
46 Zhongguancun Nandajie
Beijing
100081
China
zhuting@cma.gov.cn
pointOfContact
2019-10-23T06:00:00Z
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
ISMN37 SYNOP reports - China ; available from BABJ(PEKING (BEIJING)) at 00,06,12,18 .
2019-10-23T06:00:00Z
publication
urn:x-wmo:md:int.wmo.wis::ISMN37BABJ
http://wis.wmo.int
documentDigital
ISMN37 - SYNOP reports - China. GTS Priority level: 2/4. Included stations: (50888, Baoqing); (51053, Kaba he); (51542, Bayanbulak); (53764, Lishi); (50658, Keshan); (52996, Huajialing); (54527, Tianjin); (53083, Naran bulag); (53787, Yushe); (54226, Bugt); (50983, Hulin); (54534, Tangshan); (52436, Yumenzhen); (52908, Wudaoliang); (54096, Suifenhe); (54259, Qingyuan). Format: FM 94-XIII(Refer to WMO No.306 - Manual on Codes). The ISMN37 Data Designator decodes as follow: T1(I):Observational data (Binary coded) - BUFR;T1T2(IS):Surface/sea level;T1A2(IN):Northern hemisphere;T1T2A1ii(ISM37):Main synoptic observations from fixed land stations.(Refer to WMO No.386 - Manual on the GTS). Related words: meteorology;meteorological.
China Meteorological Administration
86-10-62186241
46 Zhongguancun Nandajie
Beijing
100081
China
lixiang@cma.gov.cn
http://www.cma.gov.cn/
originator
continual
dataset
theme
meteorology
theme
WMO_CategoryCode
2012-06-27
revision
WMO Secretariat
publisher
China / chine
0-20000-0-50658, Keshan [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-50658 ]
0-20000-0-50888, Baoqing [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-50888 ]
0-20000-0-50983, Hulin [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-50983 ]
0-20000-0-51053, Kaba he [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-51053 ]
0-20000-0-51542, Bayanbulak [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-51542 ]
0-20000-0-52436, Yumenzhen [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-52436 ]
0-20000-0-52908, Wudaoliang [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-52908 ]
0-20000-0-52996, Huajialing [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-52996 ]
0-20000-0-53083, Naran bulag [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-53083 ]
0-20000-0-53764, Lishi [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-53764 ]
0-20000-0-53787, Yushe [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-53787 ]
0-20000-0-54096, Suifenhe [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-54096 ]
0-20000-0-54226, Bugt [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-54226 ]
0-20000-0-54259, Qingyuan [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-54259 ]
0-20000-0-54527, Tianjin [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-54527 ]
0-20000-0-54534, Tangshan [ http://oscar.wmo.int/OSCAR/wigosid=0-20000-0-54534 ]
place
00
06
12
18
temporal
GlobalExchange
dataCentre
WMO_DistributionScopeCode
2012-06-27
revision
otherRestrictions
WMOEssential
GTSPriority2/4
A definition of "WMOEssential" is available at: http://wis.wmo.int/2012/codelists/WMOCodeLists.xml#WMO_ DataLicenseCode
eng
utf8
climatologyMeteorologyAtmosphere
The bounding box of data or products's coverage.
84.15
132.966667
35.216667
48.05
Li Xiang
RTH Beijing - China Meteorological Administration(CMA)
46 Zhongguancun Nandajie
Beijing
100081
CHINA
lixiang@cma.gov.cn
pointOfContact
FM 94
XIII
http://gisc.wis.cma.cn/wis/portal.pub?M_PID=urn:x-wmo:md:int.wmo.wis::ISMN37BABJ
WWW:LINK-1.0-http-link
GISC Beijing
ISMN37 bulletin from BABJ(PEKING (BEIJING)) is available at GISC Beijing.
download
dataset
High data quality controlled according to the procedures of the WIS.
asNeeded
This metadata record was created automatically by CMA Metadata Generator.
^A_ISMN37BABJ[0-9][A-Z]*+_C_BABJ_[0-9]+\.(txt|bin)$
ISMN37 SYNOP reports - China ; available from BABJ(PEKING (BEIJING)) at 00,06,12,18 .
text/octet-stream
FM 94
XIII
]]>
3
info:srw/schema/1/example-v1.1
xml:ISO19139:F
de.dkrz.wdcc.iso2754527
series
IPIMhg
Sébastien Denvil
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Marie Alice Foujols
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Arnaud Caubel
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Olivier Marti
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Dr. Jean-Louis Dufresne
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Laurent Bopp
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Patricia Cadule
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Christian Ethé
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Abderrahmane Idelkadi
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Martial Mancip
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Sébastien Masson
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Juliette Mignot
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Musat Ionela
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Yves Balkanski
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Slimane Bekki
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Sandrine Bony
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Pascale Braconnot
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Patrick Brockman
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Francis Codron
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Anne Cozic
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
David Cugnet
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Laurent Fairhead
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Thierry Fichefet
Université Catholique de Louvain
author
Simona Flavoni
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Lionel Guez
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Eric Guilyardi
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Frédéric Hourdin
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Josefine Ghattas
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Masa Kageyama
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Myriam Khodri
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Sonia Labetoulle
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Marie-Pierre Lefebvre
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Claire Levy
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Laurent Li
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Francois Lott
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Gurvan Madec
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Marion Marchand
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Yann Meurdesoif
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Catherine Rio
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Michael Schulz
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Didier Swingedouw
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Sophie Szopa
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Nicolas Viovy
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Nicolas Vuichard
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Sébastien Denvil
Institut Pierre Simon Laplace
http://www.ipsl.fr/
pointOfContact
Arnaud Caubel
Institut Pierre Simon Laplace
http://www.ipsl.fr/
originator
2019-04-21T09:19:16
ISO 19115
ISO 19139 / DKRZ ISO Simple Profile V1.0
http://doi.org/doi:10.1594/WDCC/CMIP5.IPIMhg
cmip5 output1 IPSL IPSL-CM5A-MR historicalGHG
cmip5 output1 IPSL IPSL-CM5A-MR historicalGHG
2013-09-17
creation
None
IPSL-CM5A-MR model output prepared for CMIP5 historicalGHG experiment, served by ESGF
doi:10.1594/WDCC/CMIP5.IPIMhg
Arnaud Caubel
Institut Pierre Simon Laplace
http://www.ipsl.fr/
originator
doi:10.1594/WDCC/CMIP5.IPIMhg
'historicalGHG' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5
(https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated
climate change experiments for the next five years and thus includes simulations for
assessment in the AR5 as well as others that extend beyond the AR5.
7.2 historicalGHG (7.2 GHG-only historical) - Version 1: Historical simulation but with greenhouse gas forcing only.
Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html
List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html
Output: time series per variable in model grid spatial resolution in netCDF format
Earth System model and the simulation information: CIM repository
Entry name/title of data are specified according to the Data Reference Syntax
(https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf)
as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble
member/version number/variable name/CMOR filename.nc.
Sébastien Denvil
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Marie Alice Foujols
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Arnaud Caubel
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Olivier Marti
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Dr. Jean-Louis Dufresne
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Laurent Bopp
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Patricia Cadule
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Christian Ethé
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Abderrahmane Idelkadi
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Martial Mancip
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Sébastien Masson
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Juliette Mignot
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Musat Ionela
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Yves Balkanski
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Slimane Bekki
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Sandrine Bony
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Pascale Braconnot
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Patrick Brockman
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Francis Codron
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Anne Cozic
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
David Cugnet
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Laurent Fairhead
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Thierry Fichefet
Université Catholique de Louvain
author
Simona Flavoni
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Lionel Guez
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Eric Guilyardi
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Frédéric Hourdin
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Josefine Ghattas
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Masa Kageyama
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Myriam Khodri
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Sonia Labetoulle
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Marie-Pierre Lefebvre
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Claire Levy
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Laurent Li
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Francois Lott
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Gurvan Madec
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Marion Marchand
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Yann Meurdesoif
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Catherine Rio
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Michael Schulz
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Didier Swingedouw
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Sophie Szopa
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Nicolas Viovy
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Nicolas Vuichard
Institut Pierre Simon Laplace
http://www.ipsl.fr/
author
Sébastien Denvil
Institut Pierre Simon Laplace
http://www.ipsl.fr/
pointOfContact
CMIP5
theme
IPSL-CM5A-MR
theme
IPCC-AR5
theme
IPCC
theme
IPCC-DDC
theme
climate simulation
theme
eng
0.0
360.0
-90.0
90.0
1850-01-01
2005-12-31
0
1850-07-02
2005-07-02
0
1850-01-16
2005-12-16
0
air_pressure_at_convective_cloud_base
modelResult
Pa
air_pressure_at_convective_cloud_base
modelResult
Pa
air_pressure_at_convective_cloud_top
modelResult
Pa
air_pressure_at_convective_cloud_top
modelResult
Pa
air_pressure_at_sea_level
modelResult
Pa
air_pressure_at_sea_level
modelResult
Pa
air_temperature
modelResult
K
air_temperature
modelResult
K
air_temperature
modelResult
K
air_temperature
modelResult
K
air_temperature
modelResult
K
air_temperature
modelResult
K
air_temperature
modelResult
K
air_temperature
modelResult
K
air_temperature
modelResult
K
air_temperature
modelResult
K
area_fraction
modelResult
0.01
area_fraction
modelResult
0.01
area_fraction
modelResult
0.01
area_fraction
modelResult
0.01
area_fraction
modelResult
0.01
area_fraction
modelResult
0.01
area_fraction
modelResult
0.01
area_fraction
modelResult
0.01
area_fraction
modelResult
0.01
area_fraction
modelResult
0.01
atmosphere_absorption_optical_thickness_due_to_ambient_aerosol
modelResult
1
atmosphere_cloud_condensed_water_content
modelResult
kg m-2
atmosphere_cloud_condensed_water_content
modelResult
kg m-2
atmosphere_mass_content_of_black_carbon_dry_aerosol
modelResult
kg m-2
atmosphere_mass_content_of_cloud_ice
modelResult
kg m-2
atmosphere_mass_content_of_cloud_ice
modelResult
kg m-2
atmosphere_mass_content_of_dust_dry_aerosol
modelResult
kg m-2
atmosphere_mass_content_of_particulate_organic_matter_dry_aerosol
modelResult
kg m-2
atmosphere_mass_content_of_seasalt_dry_aerosol
modelResult
kg m-2
atmosphere_mass_content_of_sulfate_dry_aerosol
modelResult
kg m-2
atmosphere_net_upward_convective_mass_flux
modelResult
kg m-2 s-1
atmosphere_optical_thickness_due_to_ambient_aerosol
modelResult
1
atmosphere_optical_thickness_due_to_pm1_ambient_aerosol
modelResult
1
atmosphere_updraft_convective_mass_flux
modelResult
kg m-2 s-1
atmosphere_water_vapor_content
modelResult
kg m-2
carbon_content_of_products_of_anthropogenic_land_use_change
modelResult
kg m-2
carbon_mass_flux_into_soil_from_litter
modelResult
kg m-2 s-1
cell_area
modelResult
m2
cell_area
modelResult
m2
cell_thickness
modelResult
m
cloud_area_fraction
modelResult
0.01
cloud_area_fraction
modelResult
0.01
cloud_area_fraction_in_atmosphere_layer
modelResult
0.01
convection_time_fraction
modelResult
1
convective_cloud_area_fraction_in_atmosphere_layer
modelResult
0.01
convective_precipitation_flux
modelResult
kg m-2 s-1
convective_precipitation_flux
modelResult
kg m-2 s-1
depth_at_shallowest_local_minimum_in_vertical_profile_of_mole_concentration_of_dissolved_molecular_oxygen_in_sea_water
modelResult
m
downward_sea_ice_basal_salt_flux
modelResult
kg m-2 s-1
downwelling_longwave_flux_in_air
modelResult
W m-2
downwelling_longwave_flux_in_air_assuming_clear_sky
modelResult
W m-2
downwelling_shortwave_flux_in_air
modelResult
W m-2
downwelling_shortwave_flux_in_air_assuming_clear_sky
modelResult
W m-2
eastward_wind
modelResult
m s-1
eastward_wind
modelResult
m s-1
eastward_wind
modelResult
m s-1
eastward_wind
modelResult
m s-1
effective_radius_of_cloud_liquid_water_particle_at_liquid_water_cloud_top
modelResult
m
effective_radius_of_convective_cloud_liquid_water_particle
modelResult
m
effective_radius_of_stratiform_cloud_liquid_water_particle
modelResult
m
fast_soil_pool_carbon_content
modelResult
kg m-2
geopotential_height
modelResult
m
geopotential_height
modelResult
m
global_average_sea_level_change
modelResult
m
global_average_steric_sea_level_change
modelResult
m
global_average_thermosteric_sea_level_change
modelResult
m
gross_primary_productivity_of_carbon
modelResult
kg m-2 s-1
heat_flux_correction
modelResult
W m-2
heat_flux_into_sea_water_due_to_sea_ice_thermodynamics
modelResult
W m-2
heterotrophic_respiration_carbon_flux
modelResult
kg m-2 s-1
lagrangian_tendency_of_air_pressure
modelResult
Pa s-1
lagrangian_tendency_of_air_pressure
modelResult
Pa s-1
lagrangian_tendency_of_air_pressure
modelResult
Pa s-1
land_area_fraction
modelResult
0.01
land_ice_area_fraction
modelResult
0.01
leaf_area_index
modelResult
1
leaf_carbon_content
modelResult
kg m-2
litter_carbon_content
modelResult
kg m-2
litter_carbon_flux
modelResult
kg m-2 s-1
mass_concentration_of_black_carbon_dry_aerosol_in_air
modelResult
kg m-3
mass_concentration_of_black_carbon_dry_aerosol_in_air
modelResult
kg m-3
mass_concentration_of_diatoms_expressed_as_chlorophyll_in_sea_water
modelResult
kg m-3
mass_concentration_of_dust_dry_aerosol_in_air
modelResult
kg m-3
mass_concentration_of_dust_dry_aerosol_in_air
modelResult
kg m-3
mass_concentration_of_miscellaneous_phytoplankton_expressed_as_chlorophyll_in_sea_water
modelResult
kg m-3
mass_concentration_of_particulate_organic_matter_dry_aerosol_in_air
modelResult
kg m-3
mass_concentration_of_particulate_organic_matter_dry_aerosol_in_air
modelResult
kg m-3
mass_concentration_of_phytoplankton_expressed_as_chlorophyll_in_sea_water
modelResult
kg m-3
mass_concentration_of_phytoplankton_expressed_as_chlorophyll_in_sea_water
modelResult
kg m-3
mass_concentration_of_seasalt_dry_aerosol_in_air
modelResult
kg m-3
mass_concentration_of_seasalt_dry_aerosol_in_air
modelResult
kg m-3
mass_concentration_of_sulfate_dry_aerosol_in_air
modelResult
kg m-3
mass_concentration_of_sulfate_dry_aerosol_in_air
modelResult
kg m-3
mass_fraction_of_cloud_ice_in_air
modelResult
1
mass_fraction_of_cloud_liquid_water_in_air
modelResult
1
mass_fraction_of_convective_cloud_liquid_water_in_air
modelResult
1
mass_fraction_of_stratiform_cloud_liquid_water_in_air
modelResult
1
medium_soil_pool_carbon_content
modelResult
kg m-2
miscellaneous_living_matter_carbon_content
modelResult
kg m-2
moisture_content_of_soil_layer
modelResult
kg m-2
mole_concentration_of_ammonium_in_sea_water
modelResult
mol m-3
mole_concentration_of_ammonium_in_sea_water
modelResult
mol m-3
mole_concentration_of_calcite_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_calcite_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_calcite_expressed_as_carbon_in_sea_water_at_saturation
modelResult
mol m-3
mole_concentration_of_calcite_expressed_as_carbon_in_sea_water_at_saturation
modelResult
mol m-3
mole_concentration_of_carbonate_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_carbonate_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_diatoms_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_dissolved_inorganic_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_dissolved_inorganic_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_dissolved_iron_in_sea_water
modelResult
mol m-3
mole_concentration_of_dissolved_iron_in_sea_water
modelResult
mol m-3
mole_concentration_of_dissolved_molecular_oxygen_in_sea_water_at_shallowest_local_minimum_in_vertical_profile
modelResult
mol m-3
mole_concentration_of_dissolved_organic_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_dissolved_organic_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_mesozooplankton_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_microzooplankton_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_miscellaneous_phytoplankton_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_molecular_oxygen_in_sea_water
modelResult
mol m-3
mole_concentration_of_molecular_oxygen_in_sea_water
modelResult
mol m-3
mole_concentration_of_nitrate_in_sea_water
modelResult
mol m-3
mole_concentration_of_nitrate_in_sea_water
modelResult
mol m-3
mole_concentration_of_organic_detritus_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_organic_detritus_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_particulate_matter_expressed_as_silicon_in_sea_water
modelResult
mol m-3
mole_concentration_of_particulate_organic_matter_expressed_as_iron_in_sea_water
modelResult
mol m-3
mole_concentration_of_phosphate_in_sea_water
modelResult
mol m-3
mole_concentration_of_phosphate_in_sea_water
modelResult
mol m-3
mole_concentration_of_phytoplankton_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_phytoplankton_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_phytoplankton_expressed_as_iron_in_sea_water
modelResult
mol m-3
mole_concentration_of_phytoplankton_expressed_as_silicon_in_sea_water
modelResult
mol m-3
mole_concentration_of_silicate_in_sea_water
modelResult
mol m-3
mole_concentration_of_silicate_in_sea_water
modelResult
mol m-3
mole_concentration_of_zooplankton_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_concentration_of_zooplankton_expressed_as_carbon_in_sea_water
modelResult
mol m-3
mole_fraction_of_ozone_in_air
modelResult
1e-9
net_downward_radiative_flux_at_top_of_atmosphere_model
modelResult
W m-2
net_downward_shortwave_flux_at_sea_water_surface
modelResult
W m-2
net_primary_mole_productivity_of_carbon_by_diatoms
modelResult
mol m-2 s-1
net_primary_mole_productivity_of_carbon_by_miscellaneous_phytoplankton
modelResult
mol m-2 s-1
net_primary_mole_productivity_of_carbon_by_phytoplankton
modelResult
mol m-2 s-1
net_primary_mole_productivity_of_carbon_due_to_nitrate_utilization
modelResult
mol m-2 s-1
net_primary_productivity_of_carbon
modelResult
kg m-2 s-1
net_primary_productivity_of_carbon_accumulated_in_leaves
modelResult
kg m-2 s-1
net_primary_productivity_of_carbon_accumulated_in_roots
modelResult
kg m-2 s-1
net_primary_productivity_of_carbon_accumulated_in_wood
modelResult
kg m-2 s-1
northward_wind
modelResult
m s-1
northward_wind
modelResult
m s-1
northward_wind
modelResult
m s-1
northward_wind
modelResult
m s-1
number_concentration_of_cloud_liquid_water_particles_in_air
modelResult
m-3
number_concentration_of_cloud_liquid_water_particles_in_air_at_liquid_water_cloud_top
modelResult
m-3
ocean_heat_x_transport
modelResult
W
ocean_heat_x_transport_due_to_bolus_advection
modelResult
W
ocean_heat_x_transport_due_to_diffusion
modelResult
W
ocean_heat_y_transport
modelResult
W
ocean_heat_y_transport_due_to_bolus_advection
modelResult
W
ocean_heat_y_transport_due_to_diffusion
modelResult
W
ocean_mass_content_of_dissolved_inorganic_carbon
modelResult
kg m-2
ocean_mixed_layer_thickness_defined_by_mixing_scheme
modelResult
m
ocean_mixed_layer_thickness_defined_by_mixing_scheme
modelResult
m
ocean_volume
modelResult
m3
plant_respiration_carbon_flux
modelResult
kg m-2 s-1
precipitation_flux
modelResult
kg m-2 s-1
precipitation_flux
modelResult
kg m-2 s-1
precipitation_flux_onto_canopy
modelResult
kg m-2 s-1
rainfall_flux
modelResult
kg m-2 s-1
relative_humidity
modelResult
0.01
relative_humidity
modelResult
0.01
relative_humidity
modelResult
0.01
relative_humidity
modelResult
0.01
relative_humidity
modelResult
0.01
relative_humidity
modelResult
0.01
relative_humidity
modelResult
0.01
root_carbon_content
modelResult
kg m-2
runoff_flux
modelResult
kg m-2 s-1
sea_area_fraction
modelResult
0.01
sea_floor_depth_below_geoid
modelResult
m
sea_ice_albedo
modelResult
1
sea_ice_area_fraction
modelResult
0.01
sea_ice_area_fraction
modelResult
0.01
sea_ice_thickness
modelResult
m
sea_ice_thickness
modelResult
m
sea_ice_x_transport
modelResult
kg s-1
sea_ice_x_velocity
modelResult
m s-1
sea_ice_y_transport
modelResult
kg s-1
sea_ice_y_velocity
modelResult
m s-1
sea_surface_height_above_geoid
modelResult
m
sea_surface_salinity
modelResult
psu
sea_surface_temperature
modelResult
K
sea_water_alkalinity_expressed_as_mole_equivalent
modelResult
mol m-3
sea_water_alkalinity_expressed_as_mole_equivalent
modelResult
mol m-3
sea_water_mass
modelResult
kg
sea_water_ph_reported_on_total_scale
modelResult
1
sea_water_ph_reported_on_total_scale
modelResult
1
sea_water_potential_temperature
modelResult
K
sea_water_potential_temperature
modelResult
K
sea_water_pressure_at_sea_floor
modelResult
dbar
sea_water_salinity
modelResult
psu
sea_water_salinity
modelResult
psu
sea_water_volume
modelResult
m3
sea_water_x_velocity
modelResult
m s-1
sea_water_y_velocity
modelResult
m s-1
sinking_mole_flux_of_calcite_expressed_as_carbon_in_sea_water
modelResult
mol m-2 s-1
sinking_mole_flux_of_particulate_iron_in_sea_water
modelResult
mol m-2 s-1
sinking_mole_flux_of_particulate_organic_matter_expressed_as_carbon_in_sea_water
modelResult
mol m-2 s-1
sinking_mole_flux_of_particulate_silicon_in_sea_water
modelResult
mol m-2 s-1
slow_soil_pool_carbon_content
modelResult
kg m-2
snowfall_flux
modelResult
kg m-2 s-1
snowfall_flux
modelResult
kg m-2 s-1
snowfall_flux
modelResult
kg m-2 s-1
soil_carbon_content
modelResult
kg m-2
soil_moisture_content
modelResult
kg m-2
soil_temperature
modelResult
K
specific_humidity
modelResult
1
specific_humidity
modelResult
1
specific_humidity
modelResult
1
specific_humidity
modelResult
1
specific_humidity
modelResult
1
square_of_sea_surface_height_above_geoid
modelResult
m2
square_of_sea_surface_temperature
modelResult
K2
square_of_sea_surface_temperature
modelResult
K2
square_of_upward_ocean_mass_transport
modelResult
kg2 s-2
subsurface_litter_carbon_content
modelResult
kg m-2
surface_air_pressure
modelResult
Pa
surface_air_pressure
modelResult
Pa
surface_air_pressure
modelResult
Pa
surface_altitude
modelResult
m
surface_carbon_dioxide_partial_pressure_difference_between_sea_water_and_air
modelResult
Pa
surface_downward_eastward_stress
modelResult
Pa
surface_downward_mass_flux_of_carbon_dioxide_expressed_as_carbon
modelResult
kg m-2 s-1
surface_downward_mole_flux_of_molecular_oxygen
modelResult
mol m-2 s-1
surface_downward_northward_stress
modelResult
Pa
surface_downward_x_stress
modelResult
N m-2
surface_downward_x_stress
modelResult
N m-2
surface_downward_y_stress
modelResult
N m-2
surface_downward_y_stress
modelResult
N m-2
surface_downwelling_longwave_flux_in_air
modelResult
W m-2
surface_downwelling_longwave_flux_in_air
modelResult
W m-2
surface_downwelling_longwave_flux_in_air_assuming_clear_sky
modelResult
W m-2
surface_downwelling_longwave_flux_in_air_assuming_clear_sky
modelResult
W m-2
surface_downwelling_shortwave_flux_in_air
modelResult
W m-2
surface_downwelling_shortwave_flux_in_air
modelResult
W m-2
surface_downwelling_shortwave_flux_in_air
modelResult
W m-2
surface_downwelling_shortwave_flux_in_air_assuming_clear_sky
modelResult
W m-2
surface_downwelling_shortwave_flux_in_air_assuming_clear_sky
modelResult
W m-2
surface_litter_carbon_content
modelResult
kg m-2
surface_molecular_oxygen_partial_pressure_difference_between_sea_water_and_air
modelResult
Pa
surface_net_downward_mass_flux_of_carbon_dioxide_expressed_as_carbon_due_to_all_land_processes
modelResult
kg m-2 s-1
surface_net_downward_mass_flux_of_carbon_dioxide_expressed_as_carbon_due_to_all_land_processes_excluding_anthropogenic_land_use_change
modelResult
kg m-2 s-1
surface_net_upward_mass_flux_of_carbon_dioxide_expressed_as_carbon_due_to_emission_from_anthropogenic_land_use_change
modelResult
kg m-2 s-1
surface_runoff_flux
modelResult
kg m-2 s-1
surface_snow_and_ice_sublimation_flux
modelResult
kg m-2 s-1
surface_snow_melt_flux
modelResult
kg m-2 s-1
surface_temperature
modelResult
K
surface_temperature
modelResult
K
surface_temperature
modelResult
K
surface_upward_carbon_mass_flux_due_to_plant_respiration_for_biomass_growth
modelResult
kg m-2 s-1
surface_upward_carbon_mass_flux_due_to_plant_respiration_for_biomass_maintenance
modelResult
kg m-2 s-1
surface_upward_latent_heat_flux
modelResult
W m-2
surface_upward_latent_heat_flux
modelResult
W m-2
surface_upward_mass_flux_of_carbon_dioxide_expressed_as_carbon_due_to_emission_from_crop_harvesting
modelResult
kg m-2 s-1
surface_upward_mass_flux_of_carbon_dioxide_expressed_as_carbon_due_to_emission_from_fires_excluding_anthropogenic_land_use_change
modelResult
kg m-2 s-1
surface_upward_sensible_heat_flux
modelResult
W m-2
surface_upward_sensible_heat_flux
modelResult
W m-2
surface_upwelling_longwave_flux_in_air
modelResult
W m-2
surface_upwelling_longwave_flux_in_air
modelResult
W m-2
surface_upwelling_shortwave_flux_in_air
modelResult
W m-2
surface_upwelling_shortwave_flux_in_air
modelResult
W m-2
surface_upwelling_shortwave_flux_in_air_assuming_clear_sky
modelResult
W m-2
surface_upwelling_shortwave_flux_in_air_assuming_clear_sky
modelResult
W m-2
temperature_flux_due_to_evaporation_expressed_as_heat_flux_out_of_sea_water
modelResult
W m-2
temperature_flux_due_to_rainfall_expressed_as_heat_flux_into_sea_water
modelResult
W m-2
tendency_of_air_temperature
modelResult
K s-1
tendency_of_air_temperature_due_to_advection
modelResult
K s-1
tendency_of_air_temperature_due_to_convection
modelResult
K s-1
tendency_of_air_temperature_due_to_model_physics
modelResult
K s-1
tendency_of_air_temperature_due_to_radiative_heating
modelResult
K s-1
tendency_of_air_temperature_due_to_stratiform_cloud_and_precipitation_and_boundary_layer_mixing
modelResult
K s-1
tendency_of_ocean_mole_content_of_calcite_expressed_as_carbon_due_to_biological_production
modelResult
mol m-2 s-1
tendency_of_ocean_mole_content_of_elemental_nitrogen_due_to_fixation
modelResult
mol m-2 s-1
tendency_of_ocean_mole_content_of_iron_due_to_biological_production
modelResult
mol m-2 s-1
tendency_of_ocean_mole_content_of_iron_due_to_deposition_and_runoff_and_sediment_dissolution
modelResult
mol m-2 s-1
tendency_of_ocean_mole_content_of_silicon_due_to_biological_production
modelResult
mol m-2 s-1
tendency_of_sea_ice_amount_due_to_basal_melting
modelResult
kg m-2 s-1
tendency_of_sea_ice_amount_due_to_lateral_growth_of_ice_floes
modelResult
kg m-2 s-1
tendency_of_sea_ice_amount_due_to_snow_conversion
modelResult
kg m-2 s-1
tendency_of_sea_ice_amount_due_to_surface_melting
modelResult
kg m-2 s-1
tendency_of_specific_humidity
modelResult
s-1
tendency_of_specific_humidity_due_to_advection
modelResult
s-1
tendency_of_specific_humidity_due_to_convection
modelResult
s-1
tendency_of_specific_humidity_due_to_diffusion
modelResult
s-1
tendency_of_specific_humidity_due_to_model_physics
modelResult
s-1
tendency_of_specific_humidity_due_to_stratiform_cloud_and_precipitation_and_boundary_layer_mixing
modelResult
s-1
toa_incoming_shortwave_flux
modelResult
W m-2
toa_incoming_shortwave_flux
modelResult
W m-2
toa_outgoing_longwave_flux
modelResult
W m-2
toa_outgoing_longwave_flux
modelResult
W m-2
toa_outgoing_longwave_flux_assuming_clear_sky
modelResult
W m-2
toa_outgoing_longwave_flux_assuming_clear_sky
modelResult
W m-2
toa_outgoing_shortwave_flux
modelResult
W m-2
toa_outgoing_shortwave_flux
modelResult
W m-2
toa_outgoing_shortwave_flux_assuming_clear_sky
modelResult
W m-2
toa_outgoing_shortwave_flux_assuming_clear_sky
modelResult
W m-2
transpiration_flux
modelResult
kg m-2 s-1
upward_ocean_mass_transport
modelResult
kg s-1
upwelling_longwave_flux_in_air
modelResult
W m-2
upwelling_longwave_flux_in_air_assuming_clear_sky
modelResult
W m-2
upwelling_shortwave_flux_in_air
modelResult
W m-2
upwelling_shortwave_flux_in_air_assuming_clear_sky
modelResult
W m-2
vegetation_carbon_content
modelResult
kg m-2
virtual_salt_flux_into_sea_water_due_to_sea_ice_thermodynamics
modelResult
kg m-2 s-1
volume_extinction_coefficient_in_air_due_to_ambient_aerosol
modelResult
m-1
water_evaporation_flux
modelResult
kg m-2 s-1
water_evaporation_flux
modelResult
kg m-2 s-1
water_evaporation_flux
modelResult
kg m-2 s-1
water_evaporation_flux_from_canopy
modelResult
kg m-2 s-1
water_evaporation_flux_from_soil
modelResult
kg m-2 s-1
water_flux_correction
modelResult
kg m-2 s-1
water_flux_into_sea_water
modelResult
kg m-2 s-1
water_flux_into_sea_water_due_to_sea_ice_thermodynamics
modelResult
kg m-2 s-1
water_flux_into_sea_water_from_rivers
modelResult
kg m-2 s-1
wind_speed
modelResult
m s-1
wind_speed
modelResult
m s-1
wind_speed
modelResult
m s-1
wood_carbon_content
modelResult
kg m-2
NetCDF
network Common Data Format
distributor
Mb
2662201
http://doi.org/doi:10.1594/WDCC/CMIP5.IPIMhg
series
]]>
4
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.
]]>
5
6
1.1
de.dwd.mosmix.54527
1
5
xml
https://sru.dwd.de/SRU2JDBC/