7f0c3c7a-848c-4bba-a11b-725882469074
English
series
Emma Steventon
Met Office
FitzRoy Road
Exeter
EX1 3PB
emma.steventon@metoffice.gov.uk
pointOfContact
2016-06-17
MEDIN Discovery metadata standard
2.3.8
urn:ogc:def:crs:EPSG::27700
2011- Ongoing Met Office Autonomous Marine Observing System (AMOS) Meteorological Observations
2011-05-18
publication
MEDIN-343
Meteorological observations originating from Met Office built ship-borne autonomous marine observing systems, produced hourly from any given position on the ship's track/route for weather forecasting as part of the long term climatological record. Coverage is global but predominantly in UK waters. Measurements include mean sea level pressure, air temperature and humidity (with capabilities for sea surface temperature (SST) and wind speed, wind direction and max gust speed from a limited number of systems). On occasion there may be gaps in the dataset.
Met Office
Data Manager
FitzRoy Road
Exeter
EX1 3PB
enquiries@metoffice.gov.uk
originator
Met Office
Data Manager
FitzRoy Road
Exeter
EX1 3PB
enquiries@metoffice.gov.uk
custodian
continual
Delimited
Marine Environmental Data and Information Network
NDGO0005
Atmospheric conditions
GEMET - INSPIRE themes, version 1.0
2008-01-06
revision
Bathymetry and Elevation
SeaDataNet PDV
2011-07-13
revision
Air temperature
Atmospheric humidity
Air pressure
SeaDataNet P021 parameter discovery vocabulary
2009-11-16
revision
freely available for personal and educational use, charges will apply for other usage e.g. commercial
otherRestrictions
License
English
climatologyMeteorologyAtmosphere
SeaDataNet vertical extent keywords
2010-01-01
revision
atmosphere
99.9999
99.9999
89.9990
89.9990
2011-05-18
2017-05-16
http://www.metoffice.gov.uk/weather/marine/observations/gathering_data/ships.html
Met Office
Data Manager
FitzRoy Road
Exeter
EX1 3PB
enquiries@metoffice.gov.uk
distributor
series
Data is collected automatically on an hourly basis using calibrated meteorological instruments which are baseline checked and maintained on a routine basis. Data quality is considered, monitored, compared against background fields and addressed in near real-time throughout its entire life cycle, with suspect data being flagged both automatically and by manual input. Regular, scheduled inspections take place, checking the accuracy of instruments as well as logger software and data formats.