Macao SAR China

Tropical nights in Macao SAR China

Tropical nights in Macao SAR China: 226.8 nights in 1950 and 228.3 nights in 2014, in the CMIP6 climate models’ median run.

Latest, 2014
228.3 nights
Modelled
Since 1950
+1.5 nights
Projected, 2100
264.7 nights
CMIP6 model median (SSP2-4.5, middle of the road)

nights a year · CMIP6

Tropical nights in Macao SAR ChinaTropical nights in Macao SAR China: 226.8 nights in 1950 and 228.3 nights in 2014, in the CMIP6 climate models’ median run. The CMIP6 model median (SSP2-4.5, middle of the road) puts it at 264.7 nights in 2100, between 240.9 nights and 284.9 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 264.7 nights in 2100, between 240.9 nights and 284.9 nights (models’ 10th–90th percentile).
  • The highest was 235 nights in 2001, the lowest 221 nights in 1967.

Every year

nights a year · CMIP6

YearMacao SAR China
2014228.3
2013228.3
2012231.9
2011231.3
2010228.9
2009234.8
2008229.3
2007229.3
2006230.3
2005228.5
2004231.8
2003225.3
2002226
2001235
2000229.2
1999225.3
1998229.2
1997230.9
1996226.7
1995227.1
1994224.2
1993222.9
1992222.2
1991222.2
1990229.9
1989221.4
1988227.8
1987224
1986223.3
1985221.1
1984224.2
1983221.9
1982223.1
1981227.1
1980223.2
1979225.9
1978222.8
1977223.2
1976222
1975225.3
1974223.3
1973227.3
1972223.3
1971221.3
1970222.2
1969224
1968228.1
1967221
1966222.1
1965222.1
1964223.1
1963225.2
1962224.1
1961223.8
1960226.2
1959224.3
1958225.1
1957228.3
1956229.8
1955225.9
1954223.9
1953225.3
1952228.3
1951227.7
1950226.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMacao SAR China
2015236.9222.5–256.5
2016233.2216.1–252.2
2017237.2220.9–251.3
2018238.1219.1–254.1
2019238.1219.1–251.1
2020233.5218.7–248.6
2021237.1224.9–250
2022243.2228–255.3
2023243.2225.8–258.1
2024237.1224.5–243.8
2025238.3219.3–254.3
2026237.2228.9–256.4
2027242.1223.6–257.3
2028245226–263.2
2029246.3222.6–261.3
2030240.5227.2–258.3
2031247.2231–260.4
2032239.6230.5–259.3
2033253226.3–269.4
2034244.3226.6–262.3
2035241.3230.9–263.4
2036241.2225.9–262.3
2037246.3230.9–262.8
2038249.4238.2–262.6
2039243.7226.6–269.1
2040242.7230.9–260.1
2041245.6227.2–267.1
2042247.6235.9–273.4
2043245.3232.5–269.5
2044248.3233.3–263.3
2045252.5238.5–268.3
2046250.3231.2–272.6
2047256.1235.3–272.3
2048252.9236.2–274.6
2049250.6237.3–272.3
2050252.3235.4–269.3
2051260.3233.6–270.6
2052250236.8–264.5
2053254.8229.7–274.3
2054255.5241.2–267.6
2055254.7232.3–274.6
2056253.5244.2–272.9
2057254.6237.3–272.8
2058253.1238.3–267.8
2059258.3242.2–277.2
2060258.5242.2–277.4
2061254.4243.6–279.9
2062250.3237.2–276.1
2063256.3238.1–272.3
2064261.4238.6–273.5
2065254.3240.3–270.1
2066254.3237.3–271.9
2067252.7234.5–272.3
2068264.3247.7–284.5
2069262.4245.1–279.5
2070257.4233.3–285.3
2071259.5235.3–283.4
2072257243.3–276.5
2073259.7245.3–272
2074260.5244.3–286.5
2075261.4248.1–280.1
2076260.5244.3–282.1
2077261.5245.8–286.6
2078261.8239.9–283.2
2079260.7243.7–277.4
2080266.5242.3–279.7
2081267.3246.1–288.1
2082263.5243.8–285.3
2083264.1244.8–282.5
2084260.1234.3–278.3
2085266.7247.3–280.8
2086266.4249.3–278.8
2087265.5245.1–291.3
2088271.8249.8–290.6
2089264.1238.6–296.1
2090263.4249.3–283.4
2091270.3251.4–292.3
2092267.3238.3–290.3
2093263.4247.6–282.7
2094264.5247.6–282.8
2095266.4247.1–293
2096265.6243.3–288.4
2097265.3242.4–288.5
2098266.3249.3–288.8
2099267.5247.9–283.4
2100264.7240.9–284.9

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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