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English Information

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Authors
# Name
1 Daniel Salles Civitarese(sallesd@br.ibm.com)
2 Bianca Zadrozny(biancaz@br.ibm.com)

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Reference
# Reference
1 Akram Zaytar, M., Zadrozny, B., Watson, C., Salles Civitarese, D., Eben Vos, E., Mathonsi, T. M., and Lukhetho Mashinini, T. (2022). ML-based Probabilistic Prediction of 2m Temperature and Total Precipitation. In EGU General Assembly Conference Abstracts, EGU General Assembly Conference Abstracts, pages EGU22–11063.
2 Board, O. S., of Sciences Engineering, N. A., Medicine, et al. (2016). Next generation earth system prediction: strategies for subseasonal to seasonal forecasts. National Academies Press.
3 Civitarese, D. S., Szwarcman, D., Zadrozny, B., and Watson, C. (2021). Extreme precipitation seasonal forecast using a transformer neural network.
4 Lim, B., Arık, S. O., Loeff, N., and Pfister, T. (2021). Temporal fusion transformers for in-¨ terpretable multi-horizon time series forecasting. International Journal of Forecasting, 37(4):1748–1764.
5 Patel, Z., Baloyi, G., Watson, C., Zaytar, A., Zadrozny, B., Civitarese, D., Makhanya, S., and Vos, E. (2022). S2S Extreme Weather Featurization: A Global Skill Assessment Study. In EGU General Assembly Conference Abstracts, EGU General Assembly Conference Abstracts, pages EGU22–12461.
6 Poppenga, S. K., Evans, G., Gesch, D., Stoker, J. M., Queija, V. R., Worstell, B., Tyler, D. J., Danielson, J., Bliss, N., and Greenlee, S. (2010). Topographic science. Technical report, US Geological Survey.
7 Robertson, A. and Vitart, F. (2018). Sub-seasonal to seasonal prediction: the gap between weather and climate forecasting. Elsevier.
8 Store, C. C. D. (2019). Land cover classification gridded maps from 1992 to present derived from satellite observations.