Italy vs Vietnam

Italy vs Vietnam: Tropical nights

Tropical nights in 2014: 26.3 nights in Italy and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 216.3 nights, or 9.23 times that in Italy.

nights a year · CMIP6

Italy vs Vietnam: Tropical nightsTropical nights in 2014: 26.3 nights in Italy and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 216.3 nights, or 9.23 times that in Italy.
ItalyVietnamCMIP6 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 Italy at 65.1 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearItalyVietnam
201426.3242.6
201324.7243.6
201224.8242.4
201124.6241.9
201027.1240.9
200923.7240
200824.1238.7
200721.5238
200624.6239.1
200522.5238.3
200424.5241.8
200323.8235.9
200220.6236.3
200120.8241.3
200021.7237
199920.3236
199818.9236.8
199718.9237.1
199618.9231.4
199517.9229.9
199417.4231.2
199316.3225.3
199215.1221.9
199118229.8
199018.2233.1
198916.6229.2
198815.5231.7
198716230.3
198615230.9
198514.5228
198415.7230.2
198315.3224.9
198214.1227.5
198115.3229.7
198015.9228.1
197914.5228.9
197816.5227.5
197713.5229
197613.8225.8
197514225.8
197414.8225.7
197313.5230.3
197213.7225.6
197115.3225.5
197014226.1
196914.5227
196813.8227.1
196713.6222.9
196613.2226.8
196512.8225.4
196413.2222.6
196314.2224.3
196215.5227.8
196113.9229.4
196014.9228.5
195916.6226.2
195814.4230.9
195715.5228.4
195616.7228.7
195516.6227.5
195415.7226.3
195315.4228.2
195216.6228.5
195116229.2
195015.3228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearItalyVietnam
20153021.7–40.4245.8228.2–261.9
201629.618–42.2243.7226.1–259.4
201731.820.2–43.7247229.6–260.7
20183122–44.3248.3228.8–263.3
201931.521.3–43.2248.1229.2–262.8
202031.619.7–44.3248.8229.6–262.9
20213420.8–46.9251.1233.1–266.7
202237.121.3–50.6252.4234.3–266.8
202333.121.3–47.4253.4235.4–266.6
202435.521.6–48.4251.3236.7–264.6
202537.720.5–51.1252.4234.1–266.2
202638.926.6–52.2252.8232.9–268.5
202734.322.4–49.7253.2237–268.8
202837.724.4–53.1254.3237.7–272
202937.824.9–55258.1238.5–273.7
203037.925.7–54.7256.4240.9–270.1
203137.223.8–51255.9241.2–270.9
203239.226.2–53.8257.4239.1–269.9
203340.426–50.3258.3241.7–273.2
203442.525.1–57.2258.8240.7–275.8
203542.728.9–58.3258.6242.5–275.4
203641.127.7–59.9258.3239.1–273.8
20374328.1–54.8258.7242.4–272.4
203841.628.5–61.3263.4247.6–277.3
20394129.4–56.4260.2243.7–275.9
204042.428.1–59.1260.1242.8–274.8
204141.927.2–58.7263.1245.9–279
204243.529.6–59263.6246.5–279
20434528.7–59.5261.4245.5–279.6
204444.929.4–59.9263.2245.2–277.6
204545.230.3–59.2265.5249.6–281.4
20464627.3–62.4264.9246.8–278.1
204749.132.4–63.6266.9250.4–282.9
204846.228.3–65.7268250.5–283.8
204948.229.5–65.7267.8251.2–284.8
205049.536.4–64.4268251.2–283.5
205148.831.6–68.3270.9254.3–285.4
205250.330.9–68.1268.3253.3–282.8
205348.235.9–67268.5250.1–283.2
205449.435.3–66.1269.1250.8–283.6
205552.233.7–67.7270249.8–284.2
205650.836.2–71.6271.7254.8–290.1
205750.232.8–65.6270253–285.7
205855.337.5–70.8270.7252.9–286.5
205951.934.5–74.1273257.6–286.6
206052.938.2–68.1275.7255.6–290.6
206154.338.3–69.8273.5254.6–289.5
206253.936.9–69271.4253.1–290.2
206356.437.6–72.1272.9252.7–288.1
206455.938.5–71.3273.8254.4–288.1
20655537.3–73.3272255.8–286.3
206653.935.8–73.8271.8254.4–287.3
206761.141.2–76.6270.8252.1–287.6
206856.241.7–73275.6256.9–292.4
206958.741.8–73276.4258.5–292
207055.738.9–74.4274.6257.8–292.8
207159.637.8–76.6276.2255.2–294.1
207259.643.5–74.6277256.8–291.4
207356.939.4–71.6278.5262.7–293.4
207454.836.7–73.7277.6259.2–295.8
207556.941.8–75.4276.4258.7–294.4
207659.941.9–77.7279.2258.5–296.6
207757.437.9–74.1280264.9–294.7
207860.540.5–80.7278.4258.6–295.5
207960.637.1–83.3279.3263.4–293.6
208059.743.1–78280261.4–296.5
20815943.7–78.9280.4261.2–297.9
208263.945.5–80.2280.9258.9–296
208360.842–79.7278.4261.6–295
208462.547.3–82.1279257.4–293.8
208565.246.3–79281.3265–297.8
208664.445.6–80.1282.3260.2–297.5
208763.743.8–84281.9261.3–300.7
208867.247.4–84.4283.1265.7–301.5
208964.546–82.9280.8261.2–301.6
209065.842.8–80.5280.5264.5–297.6
209166.745.3–84.7283.3264.3–298.9
209264.838.5–82.3281.1261.5–299.4
209363.644.7–83280.5263.4–296.1
209462.445–82283264.5–300
20956643.6–83.5285.5264.5–302.9
20966542.9–85.8281.8264.8–299.8
209765.844.9–84.4281.5263.3–299
209864.647.9–84.2282.5263.9–301.5
209967.742.2–81.9282.7265.1–298
210065.142.5–83.2282.7261–298.2

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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