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Article · Journal · 2016

Tide modelling using the Kalman filter

Onuwa Okwuashi, Dupe Nihinlola Olayinka

Journal of Spatial Science

Closed access

Go to the publisher 10.1080/14498596.2016.1245162

Citations: 12from other works
Field-weighted impact: 0.351.00 is the world average for its field and year
Among its field: 64th percentileby citations, against works of its field and year
Authors: 2from 2 institutions

Authors

2 authors across 2 institutions in 1 country

Onuwa OkwuashiFirst authorCorresponding
- University of Uyo (NG)
Dupe Nihinlola OlayinkaSenior author
- University of Lagos (NG)

Development goals

14Life below water

Country

Nigeria

Fields

A work can sit in several, each with a score

Hydrological Forecasting Using AITopic
Oceanographic and Atmospheric ProcessesTopic

Tide modelling using the Kalman filter · Peerford