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Sea surface temperature data (1870-2021) used for deep learning related to ENSO prediction
Citation
Hu, C.; China University of Geosciences (CUG); (2023): Sea surface temperature data (1870-2021) used for deep learning related to ENSO prediction. https://marineinfo.org/doc/dataset/8167
Availability:
 To the extent possible under law, the person who associated CC0 with this dataset has waived all copyright and related or neighboring rights to this dataset.Description
Sea surface temperature data in the Pacific Ocean between 1870 and 2021 used for deep learning for ENSO prediction. more
There are 4645 samples in CMIP data: 1 to 2265 samples are 15 historical simulation data by CMIP6 in 151 years (151 × 15 = 2265 in total), 2266 to 4645 samples are 17 historical simulation data by CMIP5 in 140 years (140 × 17 = 2380 in total). And the Simple Ocean Assimilation data (SODA) spans 100 years, where the first 80 years of SODA data are used for retraining and the last 20 years of SODA data are used for validation. The input predictors are used in the ENSO index prediction experiment with a spatial resolution of 5° (latitude) × 5 ° (longitude), and spatial range of 0°-360°E, 55°S-60°N. The data dimension includes (year, month, latitude, longitude). Monthly ocean surface temperature anomaly (SSTA) of the NINO 3 and NINO 4 regions (5S-5N and 160E-90W) is also used for ENSO types prediction, with a time span from 1870 to 2021. Scope Themes: Physical > Hydrography (e.g. T,S) - near surface only Keywords: ENSO (El Niño-Southern Oscillation) · Ocean surface temperature · Pacific Ocean I. · Prediction Temporal coverage
1 January 1870 - 31 December 2021 Not relevant Parameter
Sea surface temperature Contributor
China University of Geosciences (CUG), more, data creator
Dataset status: Completed
Data type: Data
Metadatarecord created: 2023-01-03
Information last updated: 2023-01-17
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