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Proceedings Paper

Improvement of web-based data acquisition and management system for GOSAT validation lidar data analysis
Author(s): Hiroshi Okumura; Shoichiro Takubo; Takeru Kawasaki; Indra Nugraha Abdullah; Osamu Uchino; Isamu Morino; Tatsuya Yokota; Tomohiro Nagai; Tetsu Sakai; Takashi Maki; Kohei Arai
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Paper Abstract

A web-base data acquisition and management system for GOSAT (Greenhouse gases Observation SATellite) validation lidar data-analysis has been developed. The system consists of data acquisition sub-system (DAS) and data management sub-system (DMS). DAS written in Perl language acquires AMeDAS (Automated Meteorological Data Acquisition System) ground-level local meteorological data, GPS Radiosonde upper-air meteorological data, ground-level oxidant data, skyradiometer data, skyview camera images, meteorological satellite IR image data and GOSAT validation lidar data. DMS written in PHP language demonstrates satellite-pass date and all acquired data. In this article, we briefly describe some improvement for higher performance and higher data usability. GPS Radiosonde upper-air meteorological data and U.S. standard atmospheric model in DAS automatically calculate molecule number density profiles. Predicted ozone density prole images above Saga city are also calculated by using Meteorological Research Institute (MRI) chemistry-climate model version 2 for comparison to actual ozone DIAL data.

Paper Details

Date Published: 4 February 2013
PDF: 8 pages
Proc. SPIE 8654, Visualization and Data Analysis 2013, 86540X (4 February 2013); doi: 10.1117/12.2003921
Show Author Affiliations
Hiroshi Okumura, Saga Univ. (Japan)
Shoichiro Takubo, Saga Univ. (Japan)
Takeru Kawasaki, Saga Univ. (Japan)
Indra Nugraha Abdullah, Saga Univ. (Japan)
Osamu Uchino, National Institute for Environmental Studies (Japan)
Isamu Morino, National Institute for Environmental Studies (Japan)
Tatsuya Yokota, National Institute for Environmental Studies (Japan)
Tomohiro Nagai, Meteorological Research Institute (Japan)
Tetsu Sakai, Meteorological Research Institute (Japan)
Takashi Maki, Meteorological Research Institute (Japan)
Kohei Arai, Saga Univ. (Japan)

Published in SPIE Proceedings Vol. 8654:
Visualization and Data Analysis 2013
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen, Editor(s)

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