2012
DOI: 10.3354/cr01133
|View full text |Cite
|
Sign up to set email alerts
|

Temperature trends in Hong Kong from a seasonal perspective

Abstract: We examined the seasonal trends of mean and extreme temperatures in Hong Kong using data from 1885−2010. The analysis revealed that the daily maximum temperature (T Max ), daily mean temperature (T Mean ), and daily minimum temperature (T Min ) of Hong Kong had a significant long-term increasing trend in all 4 seasons and that the warming trend was more prominent in winter and spring. The relatively higher rate of increase in temperatures in winter and spring could be attributed to local urbanization effects a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
21
1
2

Year Published

2014
2014
2021
2021

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 42 publications
(26 citation statements)
references
References 45 publications
(45 reference statements)
2
21
1
2
Order By: Relevance
“…1) show an average rise of 0.128C per decade from 1885 to 2010, which includes an increase of 0.158C per decade from 1952 to 2002, and 0.218C during 1971Á2010 (Chan et al, 2012). This local trend has been attributed to global warming and, to a smaller degree, urbanisation.…”
Section: Introductionmentioning
confidence: 87%
“…1) show an average rise of 0.128C per decade from 1885 to 2010, which includes an increase of 0.158C per decade from 1952 to 2002, and 0.218C during 1971Á2010 (Chan et al, 2012). This local trend has been attributed to global warming and, to a smaller degree, urbanisation.…”
Section: Introductionmentioning
confidence: 87%
“…57.7%. This study assumes that the contribution to warming by the background factors calculated in Chan et al (2012) is also applicable during 1968−2013, and this assumption is reasonable given that the time periods between the studies are similar. Thus, during 1968−2013, background factors contributed approximately 0.47°C multiplied by 57.7%, or 0.27°C, to warming in Hong Kong.…”
Section: Average Air Temperature (T a )mentioning
confidence: 99%
“…Chan et al (2012) used Reanalysis 1 data from the US National Centers for Environment Prediction-National Center for Atmospheric Research (NCEP-NCAR), and meteorological observations and sounding data from HKO stations, leading to estimates that urbanization contributed roughly 42.3% of warming in Hong Kong during 1971−2010. Therefore, using this conclusion, the contribution of 'background factors' other than urbanization (i.e.…”
Section: Average Air Temperature (T a )mentioning
confidence: 99%
“…To inform the public and stakeholders of possible climate change impacts and support future planning, a number of studies have been conducted to examine the past changes and project the future trend in local and regional climate and related extreme weather events due to global climate change and local urbanization (e.g. Ginn et al 2010;Chan et al 2012;Lee et al , 2012aHe et al 2016). In particular, climate projection of temperature, wet-bulb temperature, rainfall, and mean sea level in Hong Kong are computed based on IPCC climate model data.…”
Section: (D) Climate Change and Climate Predictionsmentioning
confidence: 99%
“…As El Niño and La Niña conditions could have effect on the monthly and seasonal climate of Hong Kong against the ENSO-neutral situation from a statistical perspective (Lee and Cheng 2011), the latest status and forecast of the warming and cooling of surface waters over the central and eastern equatorial Pacific Ocean are also closely monitored and reported in the HKO website for public reference. Long-term variations of various meteorological elements and indices, such as temperature, rainfall, sea level, tropical cyclone frequency, and extreme weather events, are also conducted to assess the climate change in Hong Kong due to global warming and local urbanizations (Lee et al 2010b;Wong et al 2011;Chan et al 2012). …”
Section: (H) Climate Monitoringmentioning
confidence: 99%