Dataset: monthly-mean potential temperature (3D)#

Dataset identifier: cmems_mod_nws_phy-t_myint_7km-3D_P1M-m
Data store: cmems

How to open this dataset in AVL JupyterLab  

cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('cmems_mod_nws_phy-t_myint_7km-3D_P1M-m')

Bounding box map#

Bounding box map
Map tiles and data from OpenStreetMap, under the ODbL.

Basic information#

Parameter Value
Bounding box longitude (°) -19.94444431274414 to 13.055225028686523
Bounding box latitude (°) 40.03333471411133 to 65.03458597070312
Time range 2022-07-16 to 2022-12-16

Click here for full dataset metadata.

Variable list#

Click on a variable name to jump to the variable’s full metadata.

Variable Long name Units
thetao Sea Water Potential Temperature degrees_C

Full variable metadata#

thetao#

Field Value
standard_name sea_water_potential_temperature
long_name Sea Water Potential Temperature
units degrees_C
valid_min -30000
valid_max 30000
cell_methods time: mean

Full dataset metadata#

Field Value
Conventions CF-1.7
references http://marine.copernicus.eu/
institution UK Met Office
contact servicedesk.cmems@mercator-ocean.eu
netcdf-version-id netCDF-4
creation_date 2021-02-08T00:00:00Z
source AMM-FOAM 7 km (tidal) NEMO v3.6_FABM-ERSEM v15.06_NEMOVAR v6
product NWSHELF_MULTIYEAR_PHY_004_009
credit E.U. Copernicus Marine Service Information (CMEMS)
forcing_data_source ECMWF; ERA5
licence http://marine.copernicus.eu/services-portfolio/service-commitments-and-licence/
title monthly-mean potential temperature (3D)
history See source and creation_date attributes