Urbanization Effect on the Observed Change in Mean Monthly Temperatures between 1951–1980 and 1971–2000 in Korea

Chung, Uran; Choi, Jee Woong; Yun, Jin I.

doi:10.1023/b:clim.0000043136.58100.ce

Cited by 90 publications

(53 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The overall population density in Doha is approximately 3000 persons/ km 2 , with the maximum value within the city of greater than 10,000 persons/km 2 . DIA is nowadays located in a highly urbanized area, and urbanization is one of the primary causes of an intensified heat island effect, and an increase in population has been shown to correlate with terrain warming in urban areas (Chung et al 2004). Published literature has noted that urban warming is more pronounced during summer evenings (Karl et al 1993) because urban structures release heat that has been absorbed during the day.…”

Section: Discussionmentioning

confidence: 99%

Recent warming trend in the coastal region of Qatar

Cheng

Saleem

Sadr

2015

Theor Appl Climatol

View full text Add to dashboard Cite

The objective of this study was to analyze longterm temperature-related phenomena in the eastern portion of the Middle East, focusing on the coastal region of Qatar. Extreme temperature indices were examined, which were defined by the Expert Team on Climate Change Detection and Indices, for Doha, Qatar; these indices were then compared with those from neighboring countries. The trends were calculated for a 30-year period , using hourly data obtained from the National Climatic Data Center. The results showed spatially consistent warming trends throughout the region. For Doha, 11 of the 12 indices studied showed significant warming trends. In particular, the warming trends were represented by an increase in the number of warm days and nights and a decrease in the number of cool nights and days. The high-temperature extremes during the night have risen at more than twice the rate of their corresponding daytime extremes. The intensity and frequency of hot days have increased, and the minimum temperature indices exhibited a higher rate of warming. The climatic changes in Doha are consistent with the region-wide heat-up in recent decades across the Middle East. However, the rapid economic expansion, increase of population since the 1990s, and urban effects in the region are thought to have intensified the rapidly warming climate pattern observed in Doha since the turn of the century.

show abstract

Section: Discussionmentioning

confidence: 99%

Recent warming trend in the coastal region of Qatar

Cheng

Saleem

Sadr

2015

Theor Appl Climatol

View full text Add to dashboard Cite

show abstract

“…Urbanization effects were found to be common in all months except April, and up to 0.5°C of the reported increases in Korean night-time temperature were induced by urbanization (and not regional warming) in the later normal period compared with the earlier normal period. In contrast, it was estimated that the urbanization effect on daily maximum temperature change was small (Chung et al, 2004).…”

Section: Climate Station Selection and Urbanization Issuesmentioning

confidence: 96%

“…The maximum UHI in Seoul has increased by an estimated 0.56°C over the period 1973-96 (Kim andBaik, 2002), whereas the estimated average annual urban bias in South Korea mean temperatures over the 1968-99 period was ∼0.4°C (Choi et al, 2003). Determination of urbanization effects versus regional climate-change effects in apparent (recorded) temperature change in Korea was undertaken (Chung et al, 2004), using two normal periods (1951-80 versus 1971-2000), and utilizing population data. Urbanization effects were found to be common in all months except April, and up to 0.5°C of the reported increases in Korean night-time temperature were induced by urbanization (and not regional warming) in the later normal period compared with the earlier normal period.…”

Section: Climate Station Selection and Urbanization Issuesmentioning

confidence: 99%

Change in mean temperature as a predictor of extreme temperature change in the Asia–Pacific region

Griffiths

Chambers

Haylock

et al. 2005

Intl Journal of Climatology

212

156

View full text Add to dashboard Cite

Trends (1961Trends ( -2003 in daily maximum and minimum temperatures, extremes and variance were found to be spatially coherent across the Asia-Pacific region. The majority of stations exhibited significant trends: increases in mean maximum and mean minimum temperature, decreases in cold nights and cool days, and increases in warm nights. No station showed a significant increase in cold days or cold nights, but a few sites showed significant decreases in hot days and warm nights. Significant decreases were observed in both maximum and minimum temperature standard deviation in China, Korea and some stations in Japan (probably reflecting urbanization effects), but also for some Thailand and coastal Australian sites. The South Pacific convergence zone (SPCZ) region between Fiji and the Solomon Islands showed a significant increase in maximum temperature variability.Correlations between mean temperature and the frequency of extreme temperatures were strongest in the tropical Pacific Ocean from French Polynesia to Papua New Guinea, Malaysia, the Philippines, Thailand and southern Japan. Correlations were weaker at continental or higher latitude locations, which may partly reflect urbanization.For non-urban stations, the dominant distribution change for both maximum and minimum temperature involved a change in the mean, impacting on one or both extremes, with no change in standard deviation. This occurred from French Polynesia to Papua New Guinea (except for maximum temperature changes near the SPCZ), in Malaysia, the Philippines, and several outlying Japanese islands. For urbanized stations the dominant change was a change in the mean and variance, impacting on one or both extremes. This result was particularly evident for minimum temperature.The results presented here, for non-urban tropical and maritime locations in the Asia-Pacific region, support the hypothesis that changes in mean temperature may be used to predict changes in extreme temperatures. At urbanized or higher latitude locations, changes in variance should be incorporated.

show abstract

“…반면 일 평균운량이 9 이상인 흐린 날(33일)의 기온감률은 ME -0.0006℃/m로 대체로 실측치가 추정치 보다 더 작았다. 흐린 날은 401m와 313m 두 지점간 기온 편차(=실측 기온감률)가 하루 동안 거의 일정하게 (Chung et al, 2004;2006;2009;Kim et al, 2010;2012Kim and Yun, 2011;2014) …”

Section: 이를 기온 표준곡선의 동일 시간대 기온편차와 대응시unclassified

Feasibility of the Lapse Rate Prediction at an Hourly Time Interval

Soo-ock¹,

Yun²

2016

Korean Journal of Agricultural and Forest Meteorology

Self Cite

View full text Add to dashboard Cite

Temperature lapse rate within the planetary boundary layer shows a diurnal cycle with a substantial variation. The widely-used lapse rate value for the standard atmosphere may result in unaffordable errors if used in interpolating hourly temperature in complex terrain. We propose a simple method for estimating hourly lapse rate and evaluate whether this scheme is better than the conventional method using the standard lapse rate. A standard curve for lapse rate based on the diurnal course of temperature was drawn using upper air temperature for 1000hPa and 925hPa standard pressure levels. It was modulated by the hourly sky condition (amount of clouds). In order to test the reliability of this method, hourly lapse rates for the 500-600m layer over Daegwallyeong site were estimated by this method and compared with the measured values by an ultrasonic temperature profiler. Results showed the mean error -0.0001℃/m and the root mean square error 0.0024℃/m for this vertical profile experiment. An additional experiment was carried out to test if this method is applicable for the mountain slope lapse rate. Hourly lapse rates for the 313-401m slope range in a complex watershed ('Hadong Watermark 2') were estimated by this method and compared with the observations. We found this method useful in describing diurnal cycle and variation of the mountain slope lapse rate over a complex terrain despite larger error compared with the vertical profile experiment.

show abstract

Urbanization Effect on the Observed Change in Mean Monthly Temperatures between 1951–1980 and 1971–2000 in Korea

Cited by 90 publications

References 13 publications

Recent warming trend in the coastal region of Qatar

Recent warming trend in the coastal region of Qatar

Change in mean temperature as a predictor of extreme temperature change in the Asia–Pacific region

Feasibility of the Lapse Rate Prediction at an Hourly Time Interval

Contact Info

Product

Resources

About