Italy vs Kenya

Italy vs Kenya: Tropical nights

Tropical nights in 2014: 26.3 nights in Italy and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 219.3 nights, or 9.35 times that in Italy.

nights a year · CMIP6

Italy vs Kenya: Tropical nightsTropical nights in 2014: 26.3 nights in Italy and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 219.3 nights, or 9.35 times that in Italy.
ItalyKenyaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kenya has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Italy at 65.1 nights and Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearItalyKenya
201426.3245.6
201324.7245.4
201224.8244.7
201124.6245
201027.1243.8
200923.7242.3
200824.1240.3
200721.5240.9
200624.6241.5
200522.5241.2
200424.5241.8
200323.8240.8
200220.6240.7
200120.8242
200021.7239.5
199920.3237.8
199818.9239.2
199718.9236.9
199618.9234.2
199517.9232.9
199417.4231.9
199316.3227.4
199215.1224.8
199118233.8
199018.2236.4
198916.6234.5
198815.5233.1
198716232.6
198615233
198514.5228.7
198415.7230.2
198315.3226.7
198214.1230.6
198115.3232.9
198015.9231.3
197914.5229.6
197816.5228.7
197713.5229.9
197613.8227.8
197514225.9
197414.8230.5
197313.5230.4
197213.7228.7
197115.3226
197014226.3
196914.5225.9
196813.8222.9
196713.6224
196613.2225.2
196512.8224.2
196413.2221.8
196314.2220.2
196215.5227.2
196113.9228.3
196014.9228.8
195916.6228.3
195814.4229.1
195715.5228
195616.7225.5
195516.6228.7
195415.7227.4
195315.4227.6
195216.6228.5
195116228.3
195015.3226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearItalyKenya
20153021.7–40.4246.9232.3–256.1
201629.618–42.2244.9230.1–255
201731.820.2–43.7248.1233.1–257.7
20183122–44.3248.7237–257.4
201931.521.3–43.2247.1234.8–256.7
202031.619.7–44.3248.6233.2–259.2
20213420.8–46.9249.5236.3–258.1
202237.121.3–50.6251.5239.7–259.5
202333.121.3–47.4251.8239–260.8
202435.521.6–48.4254.2239.1–263
202537.720.5–51.1251.5238.1–261.8
202638.926.6–52.2252.2237.2–263.3
202734.322.4–49.7252.8238.4–263.8
202837.724.4–53.1254.9241.9–264.2
202937.824.9–55256243.4–264.6
203037.925.7–54.7253.6240.6–263.1
203137.223.8–51256244.7–264.4
203239.226.2–53.8257243.8–267.1
203340.426–50.3256241.8–265.9
203442.525.1–57.2256.2241.2–267.9
203542.728.9–58.3256.7243.3–266.7
203641.127.7–59.9256.2242.4–266.7
20374328.1–54.8258.7245.9–268.4
203841.628.5–61.3260.3244.5–268.9
20394129.4–56.4259244.4–268
204042.428.1–59.1258.3246.2–269.8
204141.927.2–58.7260.7244.8–271.2
204243.529.6–59260.3246.5–272.7
20434528.7–59.5259246.6–270.5
204444.929.4–59.9261.2248.8–270.9
204545.230.3–59.2261.8248.7–272.9
20464627.3–62.4264.8249.6–275.3
204749.132.4–63.6264.4249.8–275.3
204846.228.3–65.7264.2252.3–274.9
204948.229.5–65.7265.2252.8–275.6
205049.536.4–64.4263.9249.8–275.1
205148.831.6–68.3265.4252.1–275.1
205250.330.9–68.1266.3252.6–276.2
205348.235.9–67265.2251–275.4
205449.435.3–66.1265.2250.2–277.2
205552.233.7–67.7266.8251.6–277.6
205650.836.2–71.6266.2251.2–277.8
205750.232.8–65.6266.8253–278
205855.337.5–70.8266.7251.5–277.9
205951.934.5–74.1269.8254.7–280.5
206052.938.2–68.1271.1253.9–280.7
206154.338.3–69.8267.5253.9–281.7
206253.936.9–69268.1254–281.2
206356.437.6–72.1268.9255–280.1
206455.938.5–71.3270254.1–279.8
20655537.3–73.3269.4255.8–282.3
206653.935.8–73.8270.6258.1–281
206761.141.2–76.6270.7256.1–283
206856.241.7–73270.2256–283
206958.741.8–73269.8256.1–283.3
207055.738.9–74.4270.1255.8–282.6
207159.637.8–76.6271.9257.9–284.4
207259.643.5–74.6273.5260.3–283.8
207356.939.4–71.6273.1259.9–285.4
207454.836.7–73.7271.9257.5–285.4
207556.941.8–75.4271.1256.5–284.7
207659.941.9–77.7274.1258.6–285.8
207757.437.9–74.1273.4259–286.6
207860.540.5–80.7273.1260–284.4
207960.637.1–83.3273.3258.7–286.6
208059.743.1–78275.5259.4–286.9
20815943.7–78.9274.7259.8–285.6
208263.945.5–80.2274.8261.3–286.4
208360.842–79.7274259.6–289.3
208462.547.3–82.1276.8259–288.8
208565.246.3–79276.2261.5–289.1
208664.445.6–80.1275.1260–289.1
208763.743.8–84276.2260.3–288.5
208867.247.4–84.4276.8261.6–289.7
208964.546–82.9275.9260.3–288.8
209065.842.8–80.5275.3260.5–290.5
209166.745.3–84.7277.7260.4–290.9
209264.838.5–82.3276.2261.2–290.7
209363.644.7–83276.9262–290.1
209462.445–82277262.8–288.9
20956643.6–83.5278.4262.3–290.4
20966542.9–85.8277.6260.5–292
209765.844.9–84.4277261–290.2
209864.647.9–84.2277.6262.3–291.5
209967.742.2–81.9277.9260.8–292.4
210065.142.5–83.2277261.8–290.4

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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