Philippines vs Türkiye

Philippines vs Türkiye: Tropical nights

Tropical nights in 2014: 331.5 nights in Philippines and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 311.7 nights, or 17 times that in Türkiye.

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nights a year · CMIP6

Philippines vs Türkiye: Tropical nightsTropical nights in 2014: 331.5 nights in Philippines and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 311.7 nights, or 17 times that in Türkiye.
PhilippinesTürkiyeCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Philippines has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Philippines at 351.3 nights and Türkiye at 45.5 nights in 2100.

Every year

nights a year · CMIP6

YearPhilippinesTürkiye
2014331.519.8
2013330.918.5
2012331.118.7
2011329.818.5
2010330.618.7
200932917.6
2008327.518.2
2007327.816.6
2006328.717.7
2005329.717.2
2004329.417.1
2003327.117.6
2002328.916.8
2001327.817.3
2000326.816.4
1999327.515.9
1998326.514.7
1997325.415
1996324.614.8
1995324.214.1
1994321.513.5
1993319.512.1
1992318.411.5
1991324.113.4
1990323.514.6
1989322.513.1
198832412.9
1987323.112.5
1986322.113.3
1985321.412.4
1984321.711.9
1983319.410.7
1982320.512.4
1981320.412.2
1980322.712.4
1979321.212
1978320.611.5
1977319.811.2
1976319.612
1975319.611.5
197432011.8
1973319.411.6
1972318.911.5
1971318.812.1
197031911.6
1969318.712
1968317.212
1967317.411.3
1966318.811.5
1965317.210.8
1964314.911.2
1963317.212
1962318.611.8
1961319.312
1960318.612.9
1959320.512.6
1958321.813
1957319.412.2
195632012.7
1955319.311.9
1954317.711.9
195332012.9
195231912.1
1951319.812.5
1950320.412.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPhilippinesTürkiye
2015333319.8–339.522.216.2–29.8
2016334.2322.8–340.721.114.7–29.6
2017333.4319.7–339.821.914.3–29.4
2018333.2320.1–340.122.916–29.9
2019334.1323.4–341.221.916.4–29.5
2020334.6322.6–341.823.617–31.6
2021335.6323.3–341.12317.1–30.9
2022335.7323.3–342.123.617.3–31.6
2023336.7324.8–343.224.717.8–33.4
2024337.2325.7–343.925.418.6–34.1
2025336.3326.2–342.82518.1–33
2026336.5322.9–34325.618.3–34.1
2027336.2325.7–342.324.816.9–34.8
2028337.1325.5–343.825.218.7–32
2029338.1327.2–344.626.219.8–34.4
2030337.7326.2–344.425.919.3–34.5
2031337.1325.6–343.826.419.7–35.1
2032339.4329.5–346.127.219.9–35.6
2033339.7329.6–345.528.721.4–36.9
2034338.8328.8–34527.620.8–34.7
2035338.6327.5–346.428.721.7–37
2036339.6327.8–346.928.720.9–38.1
2037339.8329.1–345.529.721.3–38.6
2038341.9330.7–347.729.922–41.6
2039341.2330.4–346.930.923.6–40.3
2040340.4328.1–347.630.923.2–40.9
2041341.1329.1–346.730.122.2–40.5
2042342331.4–347.729.920.1–40.7
2043341.3329–348.13123.6–40.4
2044342.8329.9–349.830.823.1–43.5
2045343.4333.8–348.732.424–43.1
2046342.7330.2–348.732.923.5–42.8
2047343.2331.7–350.632.324.1–44.9
2048343.3332.7–350.634.123–45.9
2049343.2332.5–349.531.622.1–43.2
2050344.3332.6–349.933.423.8–44.2
2051344.4334.9–350.834.125–43.1
2052344.1333.5–350.933.325.3–42.6
2053344.3333.6–350.335.326.6–44.2
2054343.4332–349.934.624–44.1
2055344.3334.4–350.535.425.9–47.7
2056345334.6–352.634.424.1–45.6
2057345.5335.1–351.536.326–47.4
2058345.8334.3–351.336.425.8–51.8
2059345.5333.7–351.637.124.8–48.1
2060346.8335.5–353.535.826.7–48.3
2061345.9335–351.838.826.3–49.7
2062346335.2–353.537.725.3–49.5
2063346.6336.2–352.838.426.6–51.7
2064346.9335.3–35338.928.4–49.9
2065346.1335.9–351.939.628.6–49.4
2066346.5335.4–352.436.325–49.1
2067346.1335.4–35238.327.7–50.7
2068347.1335.1–354.139.928–50.7
2069347333.8–353.639.729.2–52.2
2070346.7336.1–352.739.527.6–51.7
2071347.6336.2–353.939.829.1–51.7
2072347334.4–353.841.928.9–54.2
2073348.4336.7–35540.927.2–54.6
2074348.6337–354.939.428–51.9
2075347.9337.2–35439.828.4–53.9
2076348.4337–355.141.529.1–53.7
2077348.7337–354.841.329–53.3
2078348.4338.2–354.742.231.3–52.9
2079348.8337.6–354.74430.8–56.6
2080349.1338.4–355.943.432.5–54.9
2081348.8336.9–355.142.131.7–54.6
2082349.6338–354.943.630.9–56
2083349.9337.9–356.14629.6–57.6
2084349.5336.7–356.445.131–56.8
2085349.1338.2–355.443.330.3–54.5
2086349.4337.5–354.943.830.2–56.4
2087349.7338.7–35644.229.2–59
2088349.9338.9–356.144.932.7–58.1
2089350.2339.8–355.244.630.7–59.3
2090350.1339.7–355.946.132.8–59.2
2091349.5339.5–356.345.332.2–61.2
2092350.5339.3–356.145.631.1–59.2
2093350.4337.9–356.547.631.5–61.8
2094350.5338.4–355.947.533.7–61.2
2095350.5338.3–355.746.232.3–60.2
2096351.1339–35845.731.1–60.7
2097350.2339.3–355.648.432.1–61
2098350.3337.4–355.246.431.2–59.5
2099350.6339.3–356.445.430.8–58
2100351.3340.2–356.345.530.4–60.1

Each country on its own

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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