Share Email Print

Proceedings Paper

Correlation analysis between variability pattern of TPW and climate variables
Author(s): Darae Lee; Kyung-Soo Han; Chaeyoung Kwon; Minji Seo; Kyeong-sang Lee
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Water vapor is main absorption factor of outgoing longwave radiation. Because increase of water vapor accelerate to become high land surface temperature, it is essential to monitoring the changes in the amount of water vapor and to investigating the causes of such changes. This paper, we monitor variability pattern of Total Precipitable Water (TPW) which observed by satellite. But long-term investigation of climate over Korea peninsula is very difficult due to climatic characteristic in middle latitude of instable atmospheric. El Nino that is one of climate variables appears regularly when compared to the others. Also, precipitation of all climate variables play an important part to analyze variability pattern of water vapor because it is produced by water vapor. Therefore, if we know climatic variability by them, correlation analysis between TPW and climate variables can be improved. In this study, we analyze long-term change of TPW from Moderate-Resolution Imaging Spectroadiometer (MODIS) and precipitation change in middle area of Korea peninsula quantitatively and El Nino was compared to relation of TPW and precipitation. The aim of study is to investigate precipitation and El Nino has an impact on variability pattern of TPW. First, time series analysis is used to calculate TPW and precipitation quantitatively, and anomaly analysis is performed to analyze their correlation. From the results obtained, TPW and precipitation has correlation mostly but the part had inverse correlation was found. We compare it with El Nino of anomaly results. As a result, after El Nino occurred, TPW and precipitation had inverse correlation.

Paper Details

Date Published: 19 October 2016
PDF: 7 pages
Proc. SPIE 10001, Remote Sensing of Clouds and the Atmosphere XXI, 1000111 (19 October 2016); doi: 10.1117/12.2241772
Show Author Affiliations
Darae Lee, Pukyong National Univ. (Korea, Republic of)
Kyung-Soo Han, Pukyong National Univ. (Korea, Republic of)
Chaeyoung Kwon, Pukyong National Univ. (Korea, Republic of)
Minji Seo, Pukyong National Univ. (Korea, Republic of)
Kyeong-sang Lee, Pukyong National Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 10001:
Remote Sensing of Clouds and the Atmosphere XXI
Adolfo Comerón; Evgueni I. Kassianov; Klaus Schäfer, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?