Atmospheric Data for Ornithology: An Introduction

Atsuyoshi Manda; Noriyuki M. Yamaguchi; Elham Nourani; Yuzo Arisawa

doi:10.2326/osj.16.43

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Atsuyoshi Manda,¹ Noriyuki M. Yamaguchi,^2,* Elham Nourani,² Yuzo Arisawa³

¹1Graduate School of Bioresources, Mie University, Kurimamachiya-cho 1577, Tsu-shi, Mie 514–8507, Jap
²2Graduate School of Fisheries and Environmental Sciences, Nagasaki University, Bunkyo-machi 1–14, Na
³3Weather Information and Communications Service LTD., Minami-ikebukuro 2–8–5, Toshima-ku, Tokyo 171–

^*Corresponding author, E-mail: noriyuki@nagasaki-u.ac.jp

Abstract

This paper introduces user-friendly atmospheric data, so-called objective analysis data, for ornithological studies. The data have been interpolated onto grid points distributed at a regular interval in space and time, and are suitable for analyzing using computer data analysis software. Data assimilation techniques, which are basically the application of optimization and control theories, are utilized for producing objective analysis data in order to reduce errors as much as possible and obtain the most reliable dataset. Some examples of objective analysis data are shown and their features are described. Some cautionary notes are also given in order to avoid misinterpretation of the data.

Citation Download Citation

Atsuyoshi Manda, Noriyuki M. Yamaguchi, Elham Nourani, and Yuzo Arisawa "Atmospheric Data for Ornithology: An Introduction," Ornithological Science 16(1), 43-49, (1 January 2017). https://doi.org/10.2326/osj.16.43

Received: 16 June 2016; Accepted: 1 September 2016; Published: 1 January 2017

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