Japan vs Vietnam

Japan vs Vietnam: Tropical nights

Tropical nights in 2014: 58.6 nights in Japan and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 184 nights, or 4.14 times that in Japan.

nights a year · CMIP6

Japan vs Vietnam: Tropical nightsTropical nights in 2014: 58.6 nights in Japan and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 184 nights, or 4.14 times that in Japan.
JapanVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam 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 Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearJapanVietnam
201458.6242.6
201359.9243.6
201259.3242.4
201157.9241.9
201059.6240.9
200957.6240
200857.3238.7
200756.6238
200657.5239.1
200557.2238.3
200456.7241.8
200356.1235.9
200256236.3
200154.2241.3
200053.8237
199955.3236
199852.4236.8
199752.4237.1
199652.9231.4
199549.7229.9
199449.5231.2
199345.4225.3
199245.1221.9
199149.4229.8
199050.7233.1
198951.4229.2
198848.1231.7
198747.7230.3
198646.1230.9
198546.7228
198444.8230.2
198341.9224.9
198246.4227.5
198145.9229.7
198046.5228.1
197946.7228.9
197847.6227.5
197745.8229
197646225.8
197546.9225.8
197445.6225.7
197344.3230.3
197245.8225.6
197144.8225.5
197044226.1
196946.9227
196845.7227.1
196748.3222.9
196645.9226.8
196545.8225.4
196444.9222.6
196348.3224.3
196245.6227.8
196148.9229.4
196046.4228.5
195946.9226.2
195848.8230.9
195749.2228.4
195650.6228.7
195547.9227.5
195446.9226.3
195349.2228.2
195249.5228.5
195146.2229.2
195049.9228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJapanVietnam
201560.649.3–74.4245.8228.2–261.9
201661.547.9–73.9243.7226.1–259.4
201762.352.1–75.8247229.6–260.7
201860.548.5–73.8248.3228.8–263.3
201964.152.1–80.1248.1229.2–262.8
202063.151–74.5248.8229.6–262.9
202162.348.5–78.8251.1233.1–266.7
202264.653.8–76.5252.4234.3–266.8
202365.951.7–78253.4235.4–266.6
202465.352.9–80.7251.3236.7–264.6
202565.652.8–80.4252.4234.1–266.2
202665.554.2–81.2252.8232.9–268.5
202766.452.9–79.5253.2237–268.8
202865.352.4–80.1254.3237.7–272
202968.555–80.4258.1238.5–273.7
203066.552.3–80.6256.4240.9–270.1
203166.554.7–80255.9241.2–270.9
20326650.8–82.1257.4239.1–269.9
203370.354.7–84.8258.3241.7–273.2
203468.553.9–81.7258.8240.7–275.8
203572.960.4–84.6258.6242.5–275.4
203672.556.1–89.7258.3239.1–273.8
203767.656.7–82.5258.7242.4–272.4
203870.558.6–83.8263.4247.6–277.3
203970.455.6–85.7260.2243.7–275.9
204073.657.4–89.3260.1242.8–274.8
204172.955.6–88.5263.1245.9–279
204271.258.1–86.4263.6246.5–279
204373.357.9–88.1261.4245.5–279.6
204472.657.8–85.5263.2245.2–277.6
204572.959.5–86.7265.5249.6–281.4
204676.261–90.3264.9246.8–278.1
204775.656.6–89.3266.9250.4–282.9
204874.858.5–89.4268250.5–283.8
204974.359.7–90.8267.8251.2–284.8
205075.160.8–89.3268251.2–283.5
205175.861.1–92.4270.9254.3–285.4
205274.557.9–90.4268.3253.3–282.8
205378.559.6–91.6268.5250.1–283.2
205475.959.6–89.3269.1250.8–283.6
205576.862.2–95.1270249.8–284.2
205677.861.9–93.7271.7254.8–290.1
205779.962.8–94.4270253–285.7
205879.263.7–94.9270.7252.9–286.5
205979.858–95.6273257.6–286.6
206078.261.1–95.1275.7255.6–290.6
206180.865.7–96.7273.5254.6–289.5
20628063.6–96.3271.4253.1–290.2
20638064.1–96.5272.9252.7–288.1
206477.661.4–95.2273.8254.4–288.1
206581.763–97.4272255.8–286.3
206680.363.8–94.2271.8254.4–287.3
206781.363.2–97.1270.8252.1–287.6
206879.861.4–99.3275.6256.9–292.4
206982.365–96.1276.4258.5–292
207083.360.2–102.3274.6257.8–292.8
207183.663.6–99.2276.2255.2–294.1
207284.363.3–99.1277256.8–291.4
207383.564.9–97.4278.5262.7–293.4
207484.366.8–100.9277.6259.2–295.8
207585.664.1–99.8276.4258.7–294.4
207683.968.8–99.3279.2258.5–296.6
207786.467.6–102.4280264.9–294.7
207884.167.7–103.2278.4258.6–295.5
207986.168.3–99.4279.3263.4–293.6
208084.767.6–103.7280261.4–296.5
208183.668.5–104.3280.4261.2–297.9
208286.469.4–107.7280.9258.9–296
208385.966.5–105.7278.4261.6–295
208485.867.4–102.3279257.4–293.8
208587.568.9–102.8281.3265–297.8
208684.668.6–105.3282.3260.2–297.5
208787.270.3–107281.9261.3–300.7
208886.866.3–102.5283.1265.7–301.5
208985.765.9–103.8280.8261.2–301.6
209089.469.5–104.4280.5264.5–297.6
209188.367.4–103.1283.3264.3–298.9
20928667.7–102.3281.1261.5–299.4
209388.969.8–107.4280.5263.4–296.1
209487.569.3–103.7283264.5–300
20958872.4–104.9285.5264.5–302.9
209690.771–107.3281.8264.8–299.8
209789.471–103.1281.5263.3–299
209888.571–106.5282.5263.9–301.5
209988.370.8–102.4282.7265.1–298
210087.769.2–106.2282.7261–298.2

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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