Spread-F prediction model for the equatorial Chumphon station, Thailand

Thammavongsy, P.; Supnithi, P.; Phakphisut, W.; Hozumi, K.; Tsugawa, T.

doi:10.1016/j.asr.2019.09.040

i

Spread-F prediction model for the equatorial Chumphon station, Thailand

2020
By Thammavongsy, P. ; Supnithi, P. ; Phakphisut, W. ; ...

Details

Journal Title:

Advances in Space Research
Personal Author:

Thammavongsy, P. ; Supnithi, P. ; Phakphisut, W. ; Hozumi, K. ; Tsugawa, T.
NOAA Program & Office:

NOAA General Documents
Description:

This work proposes a range spread-F (RSF) prediction model using the neural network (NN) over the equatorial Chumphon (CPN) region in Thailand.
Keywords:

Aerospace Engineering Astronomy And Astrophysics Atmospheric Science General Earth And Planetary Sciences Geophysics Space And Planetary Science Astronomy And Astrophysics General Earth And Planetary Sciences Space And Planetary Science Astronomy And Astrophysics General Earth And Planetary Sciences Space And Planetary Science
Source:

Advances in Space Research, 65(1), 152-162
DOI:

https://doi.org/10.1016/j.asr.2019.09.040
ISSN:

0273-1177
Format:

PDF
Publisher:

Elsevier BV
Document Type:

Journal Article
Rights Information:

Accepted Manuscript
Compliance:

Library
Main Document Checksum:

urn:sha256:8bea42a1cfe40dcc3f2eabdcbf9ee8eb84fa326b4a9d402064bcc0e94c97a6f4
Download URL:

https://repository.library.noaa.gov/view/noaa/57463/noaa_57463_DS1.pdf
File Type:

[PDF - 950.33 KB ]

ON THIS PAGE

Details

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.