Hong Kong SAR China

Tropical nights in Hong Kong SAR China

Tropical nights in Hong Kong SAR China: 220.5 nights in 1950 and 224.4 nights in 2014, in the CMIP6 climate models’ median run.

Latest, 2014
224.4 nights
Modelled
Since 1950
+3.9 nights
Projected, 2100
260 nights
CMIP6 model median (SSP2-4.5, middle of the road)

nights a year · CMIP6

Tropical nights in Hong Kong SAR ChinaTropical nights in Hong Kong SAR China: 220.5 nights in 1950 and 224.4 nights in 2014, in the CMIP6 climate models’ median run. The CMIP6 model median (SSP2-4.5, middle of the road) puts it at 260 nights in 2100, between 235.4 nights and 276.8 nights (models’ 10th–90th percentile).
CMIP6 historical run, model medianCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • The CMIP6 model median (SSP2-4.5, middle of the road) puts it at 260 nights in 2100, between 235.4 nights and 276.8 nights (models’ 10th–90th percentile).
  • The highest was 230.3 nights in 2001, the lowest 215.1 nights in 1971.

Every year

nights a year · CMIP6

YearHong Kong SAR China
2014224.4
2013222.5
2012227.2
2011226.4
2010225.3
2009228.6
2008223.9
2007226.5
2006225.4
2005224.2
2004226.6
2003220.6
2002221.2
2001230.3
2000225.2
1999223.6
1998225.2
1997226.3
1996223.3
1995221.1
1994219.4
1993215.6
1992218.6
1991218.7
1990223.8
1989217.2
1988222
1987219
1986219.4
1985216.6
1984219.1
1983216.5
1982216.9
1981221.9
1980219.3
1979220.3
1978217.1
1977217.6
1976217
1975218.8
1974218.8
1973223.5
1972219.8
1971215.1
1970218.8
1969218
1968221.6
1967216.2
1966217.5
1965216.5
1964216.4
1963219.1
1962219.9
1961216.8
1960220.2
1959219.6
1958219.8
1957222.4
1956219.6
1955219.2
1954216.8
1953219.2
1952223.8
1951220.8
1950220.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearHong Kong SAR China
2015230.4215.1–244.8
2016229.1212.1–250.4
2017233.3215.7–244.7
2018232.3215.1–249.4
2019232.8214–245.7
2020228.2214.3–243.5
2021233.2218.2–245.1
2022237.7220.4–250.8
2023236.4223.6–250.7
2024231.9218–239.2
2025232.4213.9–246.2
2026231.3223.2–250.7
2027236.5219.7–254.5
2028238.4219.3–257
2029241.5217.2–257.1
2030237.6222.5–252.2
2031239224.3–255.3
2032236.4224.9–252.6
2033244.1223.2–260.1
2034238.9222.8–258.5
2035236.3225.3–259.4
2036236.4221.7–254.4
2037239225.3–255.2
2038244.1232.5–257.2
2039238.1220.4–262.2
2040237.8227–256
2041240.8222.8–261
2042242.3223.9–268.3
2043242229–259.8
2044241.4227.1–256.3
2045245.5231.8–263.8
2046243.8226–264.1
2047246.9229.4–265.5
2048247.5231.4–266
2049245.3230.6–266.1
2050248.2230–265.2
2051251.4228.9–265.7
2052244.9229.1–260.5
2053247.5226.5–264.6
2054249.8235.1–262.9
2055249.5225.5–269
2056248.4240–265.7
2057250.5233.8–268.8
2058248.6229.8–262.3
2059253.8239–271.1
2060252.9234.8–271.2
2061248.4233.1–274.9
2062246.3233.6–269
2063252.2232.2–265.2
2064252.3232.6–266.9
2065252.6233.1–265.8
2066248.3229.7–264.5
2067247.3227.9–265.6
2068258242.3–277.9
2069256.1240.7–272.3
2070252.4230.3–275.2
2071254231.8–274.8
2072252.2239.8–270.6
2073255.1239.5–266.7
2074257.4237.2–278.1
2075255.7240.8–273.7
2076255.8240.9–276.4
2077255.7241.2–277.4
2078255.8235.9–276.8
2079256.7239.4–270.4
2080261236.5–273.8
2081260.3241.2–283.6
2082258.2238.7–277.8
2083256.3239–276.3
2084253.6231–267.2
2085260.2241–275.6
2086260238.8–275.1
2087261.2239.1–285.3
2088265.8241.4–285.6
2089257.4234.9–288.3
2090256.7243.7–277.2
2091264.6245.2–285.1
2092261.9234.9–282.2
2093257.4244.3–276
2094257.5241.6–278.7
2095260.5240.1–287.6
2096258.2238.4–281.5
2097259.6235.8–281.7
2098262.1242.9–282.7
2099262.4243.7–277.3
2100260235.4–276.8

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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