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