Version 1.0.0

Temperature and rainfall datasets for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting"

Castro, Rafaela;Souto, Yania M.;Ogasawara, Eduardo;Porto, Fabio;Bezerra, Eduardo

Description

This page includes spatiotemporal datasets used in the paper STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting. ARIMA and deep learning models use datasets, as follow: ARIMA models baseline-chirps-1981-2019.nc (rainfall data)
baseline-ucar-1979-2015.nc (temperature data) Deep learning models: 5-step ahead: dataset-chirps-1981-2019-seq5-ystep5.nc (rainfall data)
dataset-ucar-1979-2015-seq5-ystep5.nc (temperature data) 15-step ahead: dataset-chirps-1981-2019-seq5-ystep15.nc (rainfall data)
dataset-ucar-1979-2015-seq5-ystep15.nc (temperature data)

Citations (0)

Mentions (0)

Metrics

Dataset Index

15.8

FAIR Score

77%

Citations

0

Mentions

30

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Open Access

Assigned Domain

Subfield

Environmental Engineering

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

88%

Source

Open Alex

Keywords

spatiotemporal datasetstemperaturerainfall

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00