Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

Ensemble-based iterative variational data assimilation approach and its extension for count data (MGI29-P04)(poster session)(abs.)

Authors=Shin ya Nakano

Journal/Book_names=Abstracts, Japan Geoscience Union Meeting (online)

volume=2022

pages=MGI29-P04

Publish_year=2022

Publisher=Japan Geoscience Union

Language_of_Text=EN

ID=300030287

@id=https://gbank.gsj.jp/ld/resource/geolis/300030287