Assessment of characteristics of surface solar irradiance on consecutive days using a self‐organizing map and clustering methods-Reference-Cited by-同舟云学术

Assessment of characteristics of surface solar irradiance on consecutive days using a self‐organizing map and clustering methods

Published:2021-03 Issue:2 Volume:28 Page:
ISSN:1350-4827
Container-title:Meteorological Applications
language:en
Short-container-title:Meteorol Appl

Author:

Watanabe Takeshi¹^ORCID,Oka Kazutaka¹^ORCID,Hijioka Yasuaki¹^ORCID

Affiliation:

1. Center for Climate Change Adaptation National Institute for Environmental Studies Tsukuba Japan

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/met.1984

Reference21 articles.

1. Statistical Modeling of Spatio-Temporal Variability in Monthly Average Daily Solar Radiation over Turkey

2. Japan Meteorological Agency(2014)The next generation nonhydrostatic model Asuca (in Japanese). NWP Section Tech. Supplement (Vol. 60) Tokyo Japan: Japan Meteorological Agency. Available at:https://www.jma.go.jp/jma/kishou/books/nwpreport/60/No60_all.pdf. [Accessed 4 January 2021].

3. Japan Meteorological Agency(2018)The Manual for Statistics of Weather Observations (in Japanese). Tokyo Japan: Japan Meteorological Agency. Available at:https://www.data.jma.go.jp/obd/stats/data/kaisetu/shishin/shishin_all.pdf. [Accessed 4 January 2021]

4. Japan Meteorological Agency(2021)Japan Meteorological Agency Website. Tokyo Japan: Japan Meteorological Agency. Available at:https://www.data.jma.go.jp/gmd/risk/obsdl/index.php[Accessed 4 January 2021].

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