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Sea surface temperature data (1870-2021) used for deep learning related to ENSO prediction
Citatie
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
Beschikbaarheid:
 Voor zover mogelijk onder de wet, heeft de persoon, die CC0 toegekend heeft aan deze dataset, afstand gedaan van alle auteurs- en aanverwante rechten.Beschrijving
Sea surface temperature data in the Pacific Ocean between 1870 and 2021 used for deep learning for ENSO prediction. meer
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 Thema's: Fysisch > Hydrografie (bv. T, S) - nabij oppervlakte Kernwoorden: ENSO (El Niño-Southern Oscillation) · Ocean surface temperature · Pacific Ocean I. · Voorspelling Spreiding in de tijd
1 Januari 1870 - 31 December 2021 Niet relevant Parameter
Temperatuur oppervlaktewater zee Bijdrage door
China University of Geosciences (CUG), meer, data creator
Dataset status: Afgelopen
Data type: Data
Metadatarecord aangemaakt: 2023-01-03
Informatie laatst gewijzigd: 2023-01-17
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