Dataset: ESA Sea Surface Temperature Climate Change Initiative (SST_cci): GHRSST Multi-Product ensemble (GMPE), v2.0#

Dataset identifier: esacci.SST.day.L4.SSTskin.Unspecified.Unspecified.GMPE.2-0.r1
Data store: cciodp

How to open this dataset in AVL JupyterLab  

cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.SST.day.L4.SSTskin.Unspecified.Unspecified.GMPE.2-0.r1')

Bounding box map#

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

Basic information#

Parameter Value
Bounding box longitude (°) -180.0 to 180.0
Bounding box latitude (°) -90.0 to 90.0
Time range 1981-09-01 to 2016-12-31
Time period 1D

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
analysed_sst median SST from GMPE kelvin
standard_deviation Standard deviation of input analyses kelvin
analysis_number Number of contributing analyses
median_type Index of analysis which is the ensemble median
anomaly_fields Anomaly of input analyses from the ensemble median kelvin
gradient_fields Horizontal SST gradients of input analyses kelvin m-1

Full variable metadata#

analysed_sst#

Field Value
long_name median SST from GMPE
standard_name sea_surface_foundation_temperature
units kelvin
add_offset 273.15
scale_factor 0.01
valid_min -300
valid_max 4500
source SST CCI V2, SST CCI V1.1, MyOcean, AVHRR_OI, CMC, HadISST.2.2.0.0_r0, HadISST.2.2.0.0_r1, HadISST.2.2.0.0_r2, HadISST.2.2.0.0_r3, HadISST.2.2.0.0_r4, HadISST.2.2.0.0_r5, HadISST.2.2.0.0_r6, HadISST.2.2.0.0_r7, HadISST.2.2.0.0_r8, HadISST.2.2.0.0_r9, MGDSST
orig_data_type int16
fill_value -32768
size 13380940800
shape 12906, 720, 1440
chunk_sizes 1, 720, 1440
file_chunk_sizes 1, 720, 1440
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

standard_deviation#

Field Value
long_name Standard deviation of input analyses
units kelvin
add_offset 0.0
scale_factor 0.01
valid_min -32000
valid_max 32000
comment
source SST CCI V2, SST CCI V1.1, MyOcean, AVHRR_OI, CMC, HadISST.2.2.0.0_r0, HadISST.2.2.0.0_r1, HadISST.2.2.0.0_r2, HadISST.2.2.0.0_r3, HadISST.2.2.0.0_r4, HadISST.2.2.0.0_r5, HadISST.2.2.0.0_r6, HadISST.2.2.0.0_r7, HadISST.2.2.0.0_r8, HadISST.2.2.0.0_r9, MGDSST
orig_data_type int16
fill_value -32768
size 13380940800
shape 12906, 720, 1440
chunk_sizes 1, 720, 1440
file_chunk_sizes 1, 720, 1440
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

analysis_number#

Field Value
_Unsigned false
long_name Number of contributing analyses
units
add_offset 0.0
scale_factor 1.0
valid_min -127
valid_max 127
comment
source SST CCI V2, SST CCI V1.1, MyOcean, AVHRR_OI, CMC, HadISST.2.2.0.0_r0, HadISST.2.2.0.0_r1, HadISST.2.2.0.0_r2, HadISST.2.2.0.0_r3, HadISST.2.2.0.0_r4, HadISST.2.2.0.0_r5, HadISST.2.2.0.0_r6, HadISST.2.2.0.0_r7, HadISST.2.2.0.0_r8, HadISST.2.2.0.0_r9, MGDSST
orig_data_type uint8
fill_value -128
size 13380940800
shape 12906, 720, 1440
chunk_sizes 1, 720, 1440
file_chunk_sizes 1, 720, 1440
data_type uint8
dimensions time, lat, lon
file_dimensions time, lat, lon

median_type#

Field Value
long_name Index of analysis which is the ensemble median
units
add_offset 0.0
scale_factor 1.0
valid_min -3000
valid_max 3000
comment
source SST CCI V2, SST CCI V1.1, MyOcean, AVHRR_OI, CMC, HadISST.2.2.0.0_r0, HadISST.2.2.0.0_r1, HadISST.2.2.0.0_r2, HadISST.2.2.0.0_r3, HadISST.2.2.0.0_r4, HadISST.2.2.0.0_r5, HadISST.2.2.0.0_r6, HadISST.2.2.0.0_r7, HadISST.2.2.0.0_r8, HadISST.2.2.0.0_r9, MGDSST
orig_data_type int16
fill_value -32768
size 13380940800
shape 12906, 720, 1440
chunk_sizes 1, 720, 1440
file_chunk_sizes 1, 720, 1440
data_type int16
dimensions time, lat, lon
file_dimensions time, lat, lon

anomaly_fields#

Field Value
long_name Anomaly of input analyses from the ensemble median
units kelvin
add_offset 0.0
scale_factor 0.01
valid_min -3000
valid_max 3000
comment
source SST CCI V2, SST CCI V1.1, MyOcean, AVHRR_OI, CMC, HadISST.2.2.0.0_r0, HadISST.2.2.0.0_r1, HadISST.2.2.0.0_r2, HadISST.2.2.0.0_r3, HadISST.2.2.0.0_r4, HadISST.2.2.0.0_r5, HadISST.2.2.0.0_r6, HadISST.2.2.0.0_r7, HadISST.2.2.0.0_r8, HadISST.2.2.0.0_r9, MGDSST
orig_data_type int16
fill_value -32768
size 214095052800
shape 12906, 16, 720, 1440
chunk_sizes 1, 8, 360, 720
file_chunk_sizes 1, 8, 360, 720
data_type int16
dimensions time, fields, lat, lon
file_dimensions time, fields, lat, lon

gradient_fields#

Field Value
long_name Horizontal SST gradients of input analyses
units kelvin m-1
add_offset 0.0
scale_factor 1e-05
valid_min -3000
valid_max 3000
comment
source SST CCI V2, SST CCI V1.1, MyOcean, AVHRR_OI, CMC, HadISST.2.2.0.0_r0, HadISST.2.2.0.0_r1, HadISST.2.2.0.0_r2, HadISST.2.2.0.0_r3, HadISST.2.2.0.0_r4, HadISST.2.2.0.0_r5, HadISST.2.2.0.0_r6, HadISST.2.2.0.0_r7, HadISST.2.2.0.0_r8, HadISST.2.2.0.0_r9, MGDSST, GMPE median
orig_data_type int16
fill_value -32768
size 227475993600
shape 12906, 17, 720, 1440
chunk_sizes 1, 9, 360, 720
file_chunk_sizes 1, 9, 360, 720
data_type int16
dimensions time, fieldsp1, lat, lon
file_dimensions time, fieldsp1, lat, lon

Full dataset metadata#

Field Value
title ESA Sea Surface Temperature Climate Change Initiative (SST_cci): GHRSST Multi-Product ensemble (GMPE), v2.0
references Martin et al., Deep Sea Research II, 2011
history NULL
comment
product_version 2-0
uuid a963d9415bb74247830f8704f825aa90
source SST CCI V2, SST CCI V1.1, MyOcean, AVHRR_OI, CMC, HadISST.2.2.0.0_r0, HadISST.2.2.0.0_r1, HadISST.2.2.0.0_r2, HadISST.2.2.0.0_r3, HadISST.2.2.0.0_r4, HadISST.2.2.0.0_r5, HadISST.2.2.0.0_r6, HadISST.2.2.0.0_r7, HadISST.2.2.0.0_r8, HadISST.2.2.0.0_r9, MGDSST
project Climate Change Initiative - European Space Agency
processing_level L4
ecv SST
institute Met Office Hadley Centre
product_string GMPE
data_type SSTskin
sensor_id Unspecified
platform_id Unspecified
abstract The European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci) has accurately determined the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified sea surface temperatures (SSTs) to a quality suitable for climate research. This GHRSST (Group for High Resolution Sea Surface Temperature) Multi-Product Ensemble (GMPE) dataset was produced by the ESA SST_cci project to facilitate comparison of its own spatially complete analyses with other level 4 SST analysis products. It provides the median and standard deviation of the ensemble of input analyses, differences between the individual analyses and the median, and gradients in the input data and the median. The outputs are provided on a 0.25˚ regular latitude-longitude grid. The product extends from 1 September 1981 to 31 December 2016. The product was generated using the following inputs: ESA SST_cci Analysis version 2.0; ESA SST_cci Analysis version 1.1; E.U. Copernicus Marine Environment Monitoring Service (CMEMS) SST information (the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) Reprocessing); National Centers for Environmental Information (NCEI) Advanced Very High Resolution Radiometer (AVHRR) Optimal Interpolation (OI) Global Blended SST Analysis; Canada Meteorological Center (CMC) 0.2-degree Global Foundation SST Analysis; Hadley Centre Sea Ice and Sea Surface Temperature (HadISST) Analysis version 2.2.0.0 (10 realisations); Japan Meteorological Agency (JMA) Merged satellite and in-situ Data Global Daily SST (MGDSST) Analysis. Full details of the data used to generate this product are provided in the associated documentation.
publication_date 2020-06-04T08:27:43
catalog_url https://catalogue.ceda.ac.uk/uuid/a963d9415bb74247830f8704f825aa90
cci_project SST