Home » Kume et al. 2021

A systematic approach for modeling global VTEC using machine learning

Kume K., I. Zhelavskaya, Y. Shprits, A. Smirnov, R. Vasile, S. Bianco, (2021), A systematic approach for modeling global VTEC using machine learning, EGU General Assembly 2021, EGU General Assembly Conference Abstracts, EGU21-16167

Authors (sorted by name)

Bianco Kume Shprits Smirnov Vasile Zhelavskaya

Journal / Conference

EGU General Assembly 2021

Bibtex

@INPROCEEDINGS{2021EGUGA..2316167K,
       author = {{Kume}, Karolina and {Zhelavskaya}, Irina and {Shprits}, Yuri and {Smirnov}, Artem and {Vasile}, Ruggero and {Bianco}, Stefano},
        title = "{A systematic approach for modeling global VTEC using machine learning}",
    booktitle = {EGU General Assembly 2021},
         year = 2021,
       series = {EGU General Assembly Conference Abstracts},
        month = apr,
          eid = {EGU21-16167},
        pages = {EGU21-16167},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2021EGUGA..2316167K},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}