Japan vs Sudan

Japan vs Sudan: Tropical nights

Tropical nights in 2014: 58.6 nights in Japan and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 183.8 nights, or 4.14 times that in Japan.

nights a year · CMIP6

Japan vs Sudan: Tropical nightsTropical nights in 2014: 58.6 nights in Japan and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 183.8 nights, or 4.14 times that in Japan.
JapanSudanCMIP6 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 Japan at 87.7 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearJapanSudan
201458.6242.4
201359.9240
201259.3242
201157.9242.2
201059.6240.6
200957.6236.5
200857.3237.1
200756.6236
200657.5235.3
200557.2233.1
200456.7233.5
200356.1235.6
200256234.7
200154.2235.4
200053.8230.5
199955.3232.1
199852.4230.2
199752.4231.1
199652.9227.3
199549.7227.8
199449.5225.3
199345.4219.1
199245.1217.8
199149.4227.3
199050.7227.5
198951.4223
198848.1223.1
198747.7224.4
198646.1226.4
198546.7222.1
198444.8220.7
198341.9217
198246.4216.3
198145.9223.2
198046.5220
197946.7218.4
197847.6218.5
197745.8219.3
197646220.1
197546.9215.7
197445.6217.5
197344.3220
197245.8217.9
197144.8215.5
197044217
196946.9213.1
196845.7214
196748.3210.3
196645.9213.3
196545.8213.4
196444.9213.2
196348.3210.1
196245.6217
196148.9216.9
196046.4221.3
195946.9217.8
195848.8216.2
195749.2218.9
195650.6217.2
195547.9216.6
195446.9218.9
195349.2215.1
195249.5216.4
195146.2218.5
195049.9214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJapanSudan
201560.649.3–74.4242.3225.3–258.3
201661.547.9–73.9241.4223.3–254.1
201762.352.1–75.8243.2223–259.1
201860.548.5–73.8242.3226.4–258.5
201964.152.1–80.1243.1221.7–260.4
202063.151–74.5244.9225.9–261.7
202162.348.5–78.8245.6229.1–261.5
202264.653.8–76.5249230.9–262.3
202365.951.7–78247.1226.8–263.1
202465.352.9–80.7251.5232.8–266.1
202565.652.8–80.4250.7232.4–265.6
202665.554.2–81.2250230.8–266.6
202766.452.9–79.5248.8228.4–265.6
202865.352.4–80.1249232.2–263.1
202968.555–80.4251.4232.1–266
203066.552.3–80.6252235.4–266.7
203166.554.7–80253.3234.4–268.9
20326650.8–82.1250.4232.3–266.6
203370.354.7–84.8254.4235.3–269.4
203468.553.9–81.7254.2234.5–269.9
203572.960.4–84.6258.3240.2–273.6
203672.556.1–89.7252.8235.6–268.6
203767.656.7–82.5256.7238.6–271.8
203870.558.6–83.8258.7244.8–272.1
203970.455.6–85.7259.5241.2–272.5
204073.657.4–89.3256.4236.7–272.3
204172.955.6–88.5259.1241.2–274.5
204271.258.1–86.4258.7242–274.7
204373.357.9–88.1258.1240.3–272.6
204472.657.8–85.5257.3238.6–274.7
204572.959.5–86.7258.8243.1–276.2
204676.261–90.3261.1241.7–277.6
204775.656.6–89.3261.4244.6–278.4
204874.858.5–89.4260.4243.4–279.5
204974.359.7–90.8261.9242.6–275.9
205075.160.8–89.3263.5245.4–279
205175.861.1–92.4263.6246.6–278.8
205274.557.9–90.4263.8248.7–278.3
205378.559.6–91.6262.8242.4–279.2
205475.959.6–89.3266.3246.6–282.9
205576.862.2–95.1265.6245.9–281.4
205677.861.9–93.7264.1242.6–281.5
205779.962.8–94.4266.4247.6–283.4
205879.263.7–94.9265.2247.4–280.3
205979.858–95.6268.4249.6–285.4
206078.261.1–95.1263.6246.7–284.4
206180.865.7–96.7266.9250.1–281.9
20628063.6–96.3266.4248.5–285
20638064.1–96.5267.1246.9–283.4
206477.661.4–95.2269250.7–284.7
206581.763–97.4269.8253.9–285.6
206680.363.8–94.2271.4251.9–287.3
206781.363.2–97.1270.9250–288.4
206879.861.4–99.3271.9251.7–289.8
206982.365–96.1268251.1–286.2
207083.360.2–102.3269252.3–285.8
207183.663.6–99.2275.5254.1–290.4
207284.363.3–99.1273.3254.2–289.4
207383.564.9–97.4271.9250.7–287.6
207484.366.8–100.9270.9249–290.1
207585.664.1–99.8273.1254–291.9
207683.968.8–99.3272.7255.2–290.9
207786.467.6–102.4274.6255.2–292.7
207884.167.7–103.2274.3255.6–291.2
207986.168.3–99.4272255.2–288.5
208084.767.6–103.7276.6256–292.2
208183.668.5–104.3275.1254.1–294.8
208286.469.4–107.7272.9258.7–288.6
208385.966.5–105.7276.5258–291.7
208485.867.4–102.3275.4253–294.9
208587.568.9–102.8275.3258.6–291.6
208684.668.6–105.3276.4256.9–296.6
208787.270.3–107273.5253.1–293.3
208886.866.3–102.5273.6253.7–293.6
208985.765.9–103.8276.5256.6–293.4
209089.469.5–104.4276.6256.4–294.6
209188.367.4–103.1277.4256.4–296.6
20928667.7–102.3274.6254.3–294.9
209388.969.8–107.4278261.9–292.1
209487.569.3–103.7280.3262.2–294
20958872.4–104.9277.5262.6–294
209690.771–107.3279.7258.7–297
209789.471–103.1276.3254.1–297.6
209888.571–106.5277.7258.2–295.5
209988.370.8–102.4276.8257.2–296.2
210087.769.2–106.2278.6259–294.3

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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