JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Relationship between temporal variability of TPW and climate variables
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Korean Journal of Remote Sensing
  • Volume 32, Issue 3,  2016, pp.331-337
  • Publisher : The Korean Society of Remote Sensing
  • DOI : 10.7780/kjrs.2016.32.3.11
 Title & Authors
Relationship between temporal variability of TPW and climate variables
Lee, Darae; Han, Kyung-Soo; Kwon, Chaeyoung; Lee, Kyeong-sang; Seo, Minji; Choi, Sungwon; Seong, Noh-hun; Lee, Chang-suk;
  PDF(new window)
 Abstract
Water vapor is main absorption factor of outgoing longwave radiation. So, it is essential to monitoring the changes in the amount of water vapor and to understanding the causes of such changes. In this study, we monitor temporal variability of Total Precipitable Water (TPW) which observed by satellite. Among climate variables, precipitation play an important part to analyze temporal variability of water vapor because it is produced by water vapor. And El is one of climate variables which appear regularly in comparison with the others. Through them, we analyze relationship between temporal variability of TPW and climate variable. In this study, we analyzed long-term change of TPW from Moderate-Resolution Imaging Spectroadiometer (MODIS) data and change of precipitation in middle area of Korea peninsula quantitatively. After these analysis, we compared relation of TPW and precipitation with El . The aim of study is to research El has an impact on TPW and precipitation change in middle area of Korea peninsula. First of all, we calculated TPW and precipitation from time series analysis quantitatively, and anomaly analysis is performed to analyze their correlation. As a result, TPW and precipitation has correlation mostly but the part had inverse correlation was found. This was compared with El of anomaly results. As a result, TPW and precipitation had inverse correlation after El occurred. It was found that El have a decisive effect on change of TPW and precipitation.
 Keywords
TPW;precipitation;ENSO;anomaly;
 Language
Korean
 Cited by
 References
1.
Chung, E.S., B. Soden, B.J. Sohn, and L. Shi, 2014. Upper-tropospheric moistening in response to anthropogenic warming, Proc. of the National Academy of Sciences, 111(32): 11636-11641. crossref(new window)

2.
Kang, I.S., 1998. Relationship between El-Nino and Korean Climate Variability, Korean Meteorological Society, 34(3): 390-396 (in Korean with English abstract).

3.
Kim, H.G., Y.H. Kang, C.Y. Yun, and M.S. Jang, 2013. Long-Term Wind Resource Assessment of Shinan-gun Bigeum-do Using The Wind Farm SCADA Data and Reanalysis Data, Journal of the Wind Engineering Institute of Korea, 17(4): 127-132 (in Korean with English abstract).

4.
Jung, J.H. and M.S. Suh, 2005. Characteristics and Types of the Diurnal Variation of Hourly Precipitation during Rainy Season over South Korea, Asia-Pacific Journal of Atmospheric Sciences, 41(4): 533-546 (in Korean with English abstract).

5.
Jung, M.H. and E.M. Chang, 2013. Land-Cover Vegetation Change Detection based on Harmonic Analysis of MODIS NDVI Time Series Data, Korean Journal of Remote Sensing, 29(4): 351-360 (in Korean with English abstract). crossref(new window)

6.
Lee, D.R., 1998. Relationships of El Nino and La Nina with both Temperature and Precipitation in South Korea. Journal of Hydro-environment Research, 31(6): 807-819 (in Korean with English abstract).

7.
Lee, J.W., and G.S. Kim, 2012. Evaluation the Climatic Influence during El Nino and La Nina Periods of Aridity Index, Precipitation Effectiveness and Runoff in Basins. Journal of the Korean Society of Agricultural Engineers, 54(4): 115-125 (in Korean with English abstract).

8.
Park, C.Y., Y.E. Choi, J.Y. Moon, and W.T. Yun, 2009. Classification of Climate Zones in South Korea Considering both Air Temperature and Rainfall, Journal of the Korean Geographical Society, 44(1): 1-16 (in Korean with English abstract).

9.
Park, H.S., B.J. Sohn, and E.S. Chung, 2008. Estimation of Total Precipitable Water from MODIS Infrared Measurements over East Asia, Korean Journal of Remote Sensing, 24(4): 309-324 (in Korean with English abstract).

10.
Ryu, S.R., C.S. Ryu, 2001. The Relationship between the Precipitation Amount in the Korean Peninsula and Vapor Flux over the Northern Hemisphere, Natural science research, 24: 197-216 (in Korean with English abstract).

11.
Song, D.S., 2009. GPS water vapor estimation modeling with high accuracy by consideration of seasonal characteristics on Korea, Korean Journal of Geomatics, 27(5): 565-574 (in Korean with English abstract).

12.
Yoon, H.J., H.J. Kim, and I.H. Yoon, 2006. On the Study of the Seasonality Precipitation over South Korea, The Journal of Korean Earth Science Society, 27(2): 149-158 (in Korean with English abstract).