Israel vs Sudan

Israel vs Sudan: Tropical nights

Tropical nights in 2014: 97.9 nights in Israel and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 144.5 nights, or 2.48 times that in Israel.

nights a year · CMIP6

Israel vs Sudan: Tropical nightsTropical nights in 2014: 97.9 nights in Israel and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 144.5 nights, or 2.48 times that in Israel.
IsraelSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Israel at 149.4 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearIsraelSudan
201497.9242.4
201398240
201296.3242
201196.1242.2
201095.5240.6
200992.5236.5
200894.1237.1
200792.7236
200692235.3
200592.3233.1
200490.7233.5
200393.9235.6
200289.5234.7
200191235.4
200089.5230.5
199986.2232.1
199884.8230.2
199784.2231.1
199683.7227.3
199579.3227.8
199480.1225.3
199371.6219.1
199274.9217.8
199178.4227.3
199080.2227.5
198976.9223
198876.5223.1
198775.1224.4
198678.3226.4
198574222.1
198469.4220.7
198368.9217
198273.5216.3
198173.5223.2
198075.3220
197968.7218.4
197871.6218.5
197772.3219.3
197673.2220.1
197570.9215.7
197472.5217.5
197371.9220
197269.9217.9
197173.1215.5
197071.6217
196970.6213.1
196869.6214
196766.9210.3
196668.8213.3
196563.5213.4
196466.1213.2
196370.9210.1
196273217
196171.5216.9
196074.9221.3
195975217.8
195873216.2
195774.8218.9
195674.3217.2
195572.8216.6
195471.4218.9
195373.7215.1
195272216.4
195175.1218.5
195069.5214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIsraelSudan
2015105.988.4–122.7242.3225.3–258.3
2016104.186.9–120.1241.4223.3–254.1
2017107.892.2–121.4243.2223–259.1
201810993.8–124.2242.3226.4–258.5
201910989.1–124.5243.1221.7–260.4
2020111.594.8–123.5244.9225.9–261.7
202111097.7–128.4245.6229.1–261.5
2022111.493.6–130.2249230.9–262.3
2023117.297.9–130.5247.1226.8–263.1
2024114.5100.4–127.3251.5232.8–266.1
2025116.698.3–129.2250.7232.4–265.6
2026115.9104.9–126.2250230.8–266.6
2027115.699–127.1248.8228.4–265.6
2028116.3100.2–127.9249232.2–263.1
2029117103.1–129.2251.4232.1–266
2030118.6102.1–131.2252235.4–266.7
2031116.8104.4–132.8253.3234.4–268.9
2032121.4106.5–134.7250.4232.3–266.6
2033122.1108.9–134.7254.4235.3–269.4
2034119.7103.1–133.4254.2234.5–269.9
2035122.8105.8–138.8258.3240.2–273.6
2036120.2105.5–136.2252.8235.6–268.6
2037121.6106.3–139.4256.7238.6–271.8
2038126.5105.7–142.1258.7244.8–272.1
2039127.7110.5–147.1259.5241.2–272.5
2040124.2109.7–144.9256.4236.7–272.3
2041126108.4–141.5259.1241.2–274.5
2042128.5105.8–144.3258.7242–274.7
2043126.5111.8–144.3258.1240.3–272.6
2044125.9108.5–142.9257.3238.6–274.7
2045130.9117.5–148.6258.8243.1–276.2
2046131114.4–147.2261.1241.7–277.6
2047132.3116.1–145.4261.4244.6–278.4
2048129.9118.5–146.9260.4243.4–279.5
2049127.9108.7–143.9261.9242.6–275.9
2050133.3114.3–147263.5245.4–279
2051130.3116.7–143.9263.6246.6–278.8
2052130.3119.9–143.5263.8248.7–278.3
2053135120.4–149.7262.8242.4–279.2
2054134.1118.8–149.3266.3246.6–282.9
2055134.1115.2–150.3265.6245.9–281.4
2056136110.1–151.1264.1242.6–281.5
2057132.7110.9–155266.4247.6–283.4
2058135.7119.1–155.4265.2247.4–280.3
2059138.8118.5–156.7268.4249.6–285.4
2060136.1116.3–159.2263.6246.7–284.4
2061136119–150.7266.9250.1–281.9
2062139118.7–156266.4248.5–285
2063137.4120.1–151.2267.1246.9–283.4
2064139.3121–154.3269250.7–284.7
2065139.6122.3–154.3269.8253.9–285.6
2066137.3119.6–153.7271.4251.9–287.3
2067142.8126–157.8270.9250–288.4
2068141.2122.8–156.4271.9251.7–289.8
2069141.5123.7–157.6268251.1–286.2
2070141.8120.5–157.5269252.3–285.8
2071142.9124.3–161.8275.5254.1–290.4
2072144.3127–158.5273.3254.2–289.4
2073143.6127.3–159.2271.9250.7–287.6
2074138.8123–162.2270.9249–290.1
2075138.1120.8–154.6273.1254–291.9
2076143.2126.8–161.5272.7255.2–290.9
2077142.8120.5–161.6274.6255.2–292.7
2078143.6128.2–160.6274.3255.6–291.2
2079148.6123.7–160.2272255.2–288.5
2080145.5123.5–163.7276.6256–292.2
2081143.7128.1–161.2275.1254.1–294.8
2082145.8129.5–160.6272.9258.7–288.6
2083149.4126–163.1276.5258–291.7
2084148128.2–164275.4253–294.9
2085149127.9–162.4275.3258.6–291.6
2086148127.4–167.1276.4256.9–296.6
2087146.4123.7–165.7273.5253.1–293.3
2088147.6133.5–165.3273.6253.7–293.6
2089148.4131.4–169.1276.5256.6–293.4
2090147.6132.4–168.8276.6256.4–294.6
2091151.9131.7–170.6277.4256.4–296.6
2092148.2132–167.4274.6254.3–294.9
2093154.1135.3–172.2278261.9–292.1
2094153.2133.6–170.3280.3262.2–294
2095148.2131.4–164.1277.5262.6–294
2096150.5130.5–172.6279.7258.7–297
2097149.8134.4–172.7276.3254.1–297.6
2098150.9131.3–170.1277.7258.2–295.5
2099149.5129–166.6276.8257.2–296.2
2100149.4130.1–168.5278.6259–294.3

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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