Japan vs Kenya

Japan vs Kenya: Tropical nights

Tropical nights in 2014: 58.6 nights in Japan and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 187 nights, or 4.19 times that in Japan.

nights a year · CMIP6

Japan vs Kenya: Tropical nightsTropical nights in 2014: 58.6 nights in Japan and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 187 nights, or 4.19 times that in Japan.
JapanKenyaCMIP6 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 Japan at 87.7 nights and Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearJapanKenya
201458.6245.6
201359.9245.4
201259.3244.7
201157.9245
201059.6243.8
200957.6242.3
200857.3240.3
200756.6240.9
200657.5241.5
200557.2241.2
200456.7241.8
200356.1240.8
200256240.7
200154.2242
200053.8239.5
199955.3237.8
199852.4239.2
199752.4236.9
199652.9234.2
199549.7232.9
199449.5231.9
199345.4227.4
199245.1224.8
199149.4233.8
199050.7236.4
198951.4234.5
198848.1233.1
198747.7232.6
198646.1233
198546.7228.7
198444.8230.2
198341.9226.7
198246.4230.6
198145.9232.9
198046.5231.3
197946.7229.6
197847.6228.7
197745.8229.9
197646227.8
197546.9225.9
197445.6230.5
197344.3230.4
197245.8228.7
197144.8226
197044226.3
196946.9225.9
196845.7222.9
196748.3224
196645.9225.2
196545.8224.2
196444.9221.8
196348.3220.2
196245.6227.2
196148.9228.3
196046.4228.8
195946.9228.3
195848.8229.1
195749.2228
195650.6225.5
195547.9228.7
195446.9227.4
195349.2227.6
195249.5228.5
195146.2228.3
195049.9226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJapanKenya
201560.649.3–74.4246.9232.3–256.1
201661.547.9–73.9244.9230.1–255
201762.352.1–75.8248.1233.1–257.7
201860.548.5–73.8248.7237–257.4
201964.152.1–80.1247.1234.8–256.7
202063.151–74.5248.6233.2–259.2
202162.348.5–78.8249.5236.3–258.1
202264.653.8–76.5251.5239.7–259.5
202365.951.7–78251.8239–260.8
202465.352.9–80.7254.2239.1–263
202565.652.8–80.4251.5238.1–261.8
202665.554.2–81.2252.2237.2–263.3
202766.452.9–79.5252.8238.4–263.8
202865.352.4–80.1254.9241.9–264.2
202968.555–80.4256243.4–264.6
203066.552.3–80.6253.6240.6–263.1
203166.554.7–80256244.7–264.4
20326650.8–82.1257243.8–267.1
203370.354.7–84.8256241.8–265.9
203468.553.9–81.7256.2241.2–267.9
203572.960.4–84.6256.7243.3–266.7
203672.556.1–89.7256.2242.4–266.7
203767.656.7–82.5258.7245.9–268.4
203870.558.6–83.8260.3244.5–268.9
203970.455.6–85.7259244.4–268
204073.657.4–89.3258.3246.2–269.8
204172.955.6–88.5260.7244.8–271.2
204271.258.1–86.4260.3246.5–272.7
204373.357.9–88.1259246.6–270.5
204472.657.8–85.5261.2248.8–270.9
204572.959.5–86.7261.8248.7–272.9
204676.261–90.3264.8249.6–275.3
204775.656.6–89.3264.4249.8–275.3
204874.858.5–89.4264.2252.3–274.9
204974.359.7–90.8265.2252.8–275.6
205075.160.8–89.3263.9249.8–275.1
205175.861.1–92.4265.4252.1–275.1
205274.557.9–90.4266.3252.6–276.2
205378.559.6–91.6265.2251–275.4
205475.959.6–89.3265.2250.2–277.2
205576.862.2–95.1266.8251.6–277.6
205677.861.9–93.7266.2251.2–277.8
205779.962.8–94.4266.8253–278
205879.263.7–94.9266.7251.5–277.9
205979.858–95.6269.8254.7–280.5
206078.261.1–95.1271.1253.9–280.7
206180.865.7–96.7267.5253.9–281.7
20628063.6–96.3268.1254–281.2
20638064.1–96.5268.9255–280.1
206477.661.4–95.2270254.1–279.8
206581.763–97.4269.4255.8–282.3
206680.363.8–94.2270.6258.1–281
206781.363.2–97.1270.7256.1–283
206879.861.4–99.3270.2256–283
206982.365–96.1269.8256.1–283.3
207083.360.2–102.3270.1255.8–282.6
207183.663.6–99.2271.9257.9–284.4
207284.363.3–99.1273.5260.3–283.8
207383.564.9–97.4273.1259.9–285.4
207484.366.8–100.9271.9257.5–285.4
207585.664.1–99.8271.1256.5–284.7
207683.968.8–99.3274.1258.6–285.8
207786.467.6–102.4273.4259–286.6
207884.167.7–103.2273.1260–284.4
207986.168.3–99.4273.3258.7–286.6
208084.767.6–103.7275.5259.4–286.9
208183.668.5–104.3274.7259.8–285.6
208286.469.4–107.7274.8261.3–286.4
208385.966.5–105.7274259.6–289.3
208485.867.4–102.3276.8259–288.8
208587.568.9–102.8276.2261.5–289.1
208684.668.6–105.3275.1260–289.1
208787.270.3–107276.2260.3–288.5
208886.866.3–102.5276.8261.6–289.7
208985.765.9–103.8275.9260.3–288.8
209089.469.5–104.4275.3260.5–290.5
209188.367.4–103.1277.7260.4–290.9
20928667.7–102.3276.2261.2–290.7
209388.969.8–107.4276.9262–290.1
209487.569.3–103.7277262.8–288.9
20958872.4–104.9278.4262.3–290.4
209690.771–107.3277.6260.5–292
209789.471–103.1277261–290.2
209888.571–106.5277.6262.3–291.5
209988.370.8–102.4277.9260.8–292.4
210087.769.2–106.2277261.8–290.4

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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