Philippines vs Sudan

Philippines vs Sudan: Tropical nights

Tropical nights in 2014: 331.5 nights in Philippines and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 89.1 nights, or 1.37 times that in Sudan.

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nights a year · CMIP6

Philippines vs Sudan: Tropical nightsTropical nights in 2014: 331.5 nights in Philippines and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 89.1 nights, or 1.37 times that in Sudan.
PhilippinesSudanCMIP6 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 Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearPhilippinesSudan
2014331.5242.4
2013330.9240
2012331.1242
2011329.8242.2
2010330.6240.6
2009329236.5
2008327.5237.1
2007327.8236
2006328.7235.3
2005329.7233.1
2004329.4233.5
2003327.1235.6
2002328.9234.7
2001327.8235.4
2000326.8230.5
1999327.5232.1
1998326.5230.2
1997325.4231.1
1996324.6227.3
1995324.2227.8
1994321.5225.3
1993319.5219.1
1992318.4217.8
1991324.1227.3
1990323.5227.5
1989322.5223
1988324223.1
1987323.1224.4
1986322.1226.4
1985321.4222.1
1984321.7220.7
1983319.4217
1982320.5216.3
1981320.4223.2
1980322.7220
1979321.2218.4
1978320.6218.5
1977319.8219.3
1976319.6220.1
1975319.6215.7
1974320217.5
1973319.4220
1972318.9217.9
1971318.8215.5
1970319217
1969318.7213.1
1968317.2214
1967317.4210.3
1966318.8213.3
1965317.2213.4
1964314.9213.2
1963317.2210.1
1962318.6217
1961319.3216.9
1960318.6221.3
1959320.5217.8
1958321.8216.2
1957319.4218.9
1956320217.2
1955319.3216.6
1954317.7218.9
1953320215.1
1952319216.4
1951319.8218.5
1950320.4214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPhilippinesSudan
2015333319.8–339.5242.3225.3–258.3
2016334.2322.8–340.7241.4223.3–254.1
2017333.4319.7–339.8243.2223–259.1
2018333.2320.1–340.1242.3226.4–258.5
2019334.1323.4–341.2243.1221.7–260.4
2020334.6322.6–341.8244.9225.9–261.7
2021335.6323.3–341.1245.6229.1–261.5
2022335.7323.3–342.1249230.9–262.3
2023336.7324.8–343.2247.1226.8–263.1
2024337.2325.7–343.9251.5232.8–266.1
2025336.3326.2–342.8250.7232.4–265.6
2026336.5322.9–343250230.8–266.6
2027336.2325.7–342.3248.8228.4–265.6
2028337.1325.5–343.8249232.2–263.1
2029338.1327.2–344.6251.4232.1–266
2030337.7326.2–344.4252235.4–266.7
2031337.1325.6–343.8253.3234.4–268.9
2032339.4329.5–346.1250.4232.3–266.6
2033339.7329.6–345.5254.4235.3–269.4
2034338.8328.8–345254.2234.5–269.9
2035338.6327.5–346.4258.3240.2–273.6
2036339.6327.8–346.9252.8235.6–268.6
2037339.8329.1–345.5256.7238.6–271.8
2038341.9330.7–347.7258.7244.8–272.1
2039341.2330.4–346.9259.5241.2–272.5
2040340.4328.1–347.6256.4236.7–272.3
2041341.1329.1–346.7259.1241.2–274.5
2042342331.4–347.7258.7242–274.7
2043341.3329–348.1258.1240.3–272.6
2044342.8329.9–349.8257.3238.6–274.7
2045343.4333.8–348.7258.8243.1–276.2
2046342.7330.2–348.7261.1241.7–277.6
2047343.2331.7–350.6261.4244.6–278.4
2048343.3332.7–350.6260.4243.4–279.5
2049343.2332.5–349.5261.9242.6–275.9
2050344.3332.6–349.9263.5245.4–279
2051344.4334.9–350.8263.6246.6–278.8
2052344.1333.5–350.9263.8248.7–278.3
2053344.3333.6–350.3262.8242.4–279.2
2054343.4332–349.9266.3246.6–282.9
2055344.3334.4–350.5265.6245.9–281.4
2056345334.6–352.6264.1242.6–281.5
2057345.5335.1–351.5266.4247.6–283.4
2058345.8334.3–351.3265.2247.4–280.3
2059345.5333.7–351.6268.4249.6–285.4
2060346.8335.5–353.5263.6246.7–284.4
2061345.9335–351.8266.9250.1–281.9
2062346335.2–353.5266.4248.5–285
2063346.6336.2–352.8267.1246.9–283.4
2064346.9335.3–353269250.7–284.7
2065346.1335.9–351.9269.8253.9–285.6
2066346.5335.4–352.4271.4251.9–287.3
2067346.1335.4–352270.9250–288.4
2068347.1335.1–354.1271.9251.7–289.8
2069347333.8–353.6268251.1–286.2
2070346.7336.1–352.7269252.3–285.8
2071347.6336.2–353.9275.5254.1–290.4
2072347334.4–353.8273.3254.2–289.4
2073348.4336.7–355271.9250.7–287.6
2074348.6337–354.9270.9249–290.1
2075347.9337.2–354273.1254–291.9
2076348.4337–355.1272.7255.2–290.9
2077348.7337–354.8274.6255.2–292.7
2078348.4338.2–354.7274.3255.6–291.2
2079348.8337.6–354.7272255.2–288.5
2080349.1338.4–355.9276.6256–292.2
2081348.8336.9–355.1275.1254.1–294.8
2082349.6338–354.9272.9258.7–288.6
2083349.9337.9–356.1276.5258–291.7
2084349.5336.7–356.4275.4253–294.9
2085349.1338.2–355.4275.3258.6–291.6
2086349.4337.5–354.9276.4256.9–296.6
2087349.7338.7–356273.5253.1–293.3
2088349.9338.9–356.1273.6253.7–293.6
2089350.2339.8–355.2276.5256.6–293.4
2090350.1339.7–355.9276.6256.4–294.6
2091349.5339.5–356.3277.4256.4–296.6
2092350.5339.3–356.1274.6254.3–294.9
2093350.4337.9–356.5278261.9–292.1
2094350.5338.4–355.9280.3262.2–294
2095350.5338.3–355.7277.5262.6–294
2096351.1339–358279.7258.7–297
2097350.2339.3–355.6276.3254.1–297.6
2098350.3337.4–355.2277.7258.2–295.5
2099350.6339.3–356.4276.8257.2–296.2
2100351.3340.2–356.3278.6259–294.3

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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