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T Mitsui

Biographic Data

ID6261567
NAMET Mitsui
GIVEN NAMEST
FAMILY NAMEMitsui
SIGNATUREMITSUI T
AFFILIATIONSPotsdam Institute for Climate Impact Research
ORCID0000-0002-2825-3996
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Seasonal prediction of Indian summer monsoon onset with echo state networks

    Open Access•T Mitsui, Niklas Boers•ARTICLE•Environmental Research Letters•2021

    Although the prediction of the Indian Summer Monsoon (ISM) onset is of crucial importance for water-resource management and agricultural planning on the Indian sub-continent, the long-term predictability—especially at seasonal time scales—is little explored and remains challenging. We propose a method based on artificial neural networks that provides skilful long-term forecasts (beyond 3 months) of the ISM onset, although only trained on short an…

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  • Seasonal prediction of Indian summer monsoon onset with echo state networks

    Open Access•T Mitsui, Niklas Boers•ARTICLE•Environmental Research Letters•2021

    Although the prediction of the Indian Summer Monsoon (ISM) onset is of crucial importance for water-resource management and agricultural planning on the Indian sub-continent, the long-term predictability—especially at seasonal time scales—is little explored and remains challenging. We propose a method based on artificial neural networks that provides skilful long-term forecasts (beyond 3 months) of the ISM onset, although only trained on short an…

Boreal (1 work) · Climatology (1 work) · Environmental Science (1 work) · Geography (1 work) · Geology (1 work) · Hydrological Forecasting Using AI (1 work) · Mathematics (1 work) · Meteorological Phenomena and Simulations (1 work) · Meteorology (1 work) · Monsoon (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae