Spain vs Vietnam

Spain vs Vietnam: Tropical nights

Tropical nights in 2014: 16.8 nights in Spain and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 225.8 nights, or 14 times that in Spain.

nights a year · CMIP6

Spain vs Vietnam: Tropical nightsTropical nights in 2014: 16.8 nights in Spain and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 225.8 nights, or 14 times that in Spain.
SpainVietnamCMIP6 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 Spain at 51.6 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearSpainVietnam
201416.8242.6
201317.9243.6
201216.4242.4
201116.2241.9
201017.5240.9
200916.2240
200816.5238.7
200715.3238
200617.6239.1
200516.5238.3
200416.4241.8
200314.5235.9
200214.9236.3
200115.6241.3
200013.8237
199913.9236
199813.5236.8
199712.7237.1
199612.9231.4
199511.4229.9
199412.1231.2
199311225.3
19929.5221.9
199112.3229.8
199013.1233.1
198911.5229.2
198812.3231.7
198711.1230.3
19869.2230.9
19858.9228
19848.9230.2
19839.5224.9
198210227.5
198110.1229.7
19809.6228.1
197910.5228.9
197811.1227.5
19779.7229
19768.3225.8
19758.7225.8
197410225.7
19738.9230.3
19729.6225.6
19718.4225.5
19708226.1
19699.2227
19689227.1
19678.8222.9
19668.1226.8
19657.6225.4
196410.1222.6
19638.7224.3
19629.5227.8
19619.4229.4
19609.3228.5
195910.2226.2
19589.7230.9
19579.5228.4
195610.5228.7
195510.4227.5
19549.8226.3
19539228.2
195210.5228.5
195110.2229.2
195011.8228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSpainVietnam
201520.413.3–30.2245.8228.2–261.9
201620.113.2–33.4243.7226.1–259.4
201721.313.3–31.1247229.6–260.7
201822.815.6–34.2248.3228.8–263.3
201922.714.6–33.6248.1229.2–262.8
202022.314.2–32.8248.8229.6–262.9
202123.114.2–34.2251.1233.1–266.7
202226.515–37.6252.4234.3–266.8
202325.215.5–35.2253.4235.4–266.6
202425.216.8–37251.3236.7–264.6
202524.914–36.5252.4234.1–266.2
202624.814.9–36.8252.8232.9–268.5
202726.817–38.3253.2237–268.8
202827.315.8–39.5254.3237.7–272
20292816–41.8258.1238.5–273.7
203027.816.8–38256.4240.9–270.1
20312817–39255.9241.2–270.9
203229.720.5–40.3257.4239.1–269.9
203328.920–39.2258.3241.7–273.2
203431.419.3–44.8258.8240.7–275.8
203530.619.2–43.3258.6242.5–275.4
203630.721.4–43.8258.3239.1–273.8
203731.319.8–41.7258.7242.4–272.4
203831.621.5–45263.4247.6–277.3
203931.723–43.8260.2243.7–275.9
204030.119–46260.1242.8–274.8
204130.419.5–43.3263.1245.9–279
204231.521.5–43.1263.6246.5–279
20433219.4–47.6261.4245.5–279.6
20443221.8–45.9263.2245.2–277.6
204534.122.7–47.8265.5249.6–281.4
204633.921.1–47.3264.9246.8–278.1
204734.322.3–49266.9250.4–282.9
204835.723.1–46268250.5–283.8
204937.324.6–52.2267.8251.2–284.8
205037.425.7–52.7268251.2–283.5
205136.322.6–51.6270.9254.3–285.4
205238.224.4–51.2268.3253.3–282.8
205336.325.2–51.9268.5250.1–283.2
20543623–53269.1250.8–283.6
205539.126.3–52.3270249.8–284.2
205638.227–52.8271.7254.8–290.1
205740.526.6–53.5270253–285.7
205841.827–54.8270.7252.9–286.5
205939.225.5–55.2273257.6–286.6
206041.929.2–55275.7255.6–290.6
206142.629.2–58.6273.5254.6–289.5
206241.429–55.5271.4253.1–290.2
206345.225.2–59.7272.9252.7–288.1
206442.625.1–57.5273.8254.4–288.1
206540.825.4–61.7272255.8–286.3
20664228.9–57.3271.8254.4–287.3
206745.531.3–61.4270.8252.1–287.6
206841.528.4–58.9275.6256.9–292.4
20694630–59.7276.4258.5–292
207045.430.7–63.3274.6257.8–292.8
207145.931.7–62.2276.2255.2–294.1
207247.130.2–62.5277256.8–291.4
207346.630.5–63.8278.5262.7–293.4
207443.429.5–61.4277.6259.2–295.8
207545.529–60.5276.4258.7–294.4
207646.930.2–64.9279.2258.5–296.6
207746.129.6–63280264.9–294.7
20784729.9–67.3278.4258.6–295.5
207943.731.4–63.5279.3263.4–293.6
208046.830–63.9280261.4–296.5
20814733.2–65280.4261.2–297.9
20824834.3–63.4280.9258.9–296
208349.932.4–65.9278.4261.6–295
208449.234.7–65.4279257.4–293.8
20855037.5–66281.3265–297.8
20865133.7–67.6282.3260.2–297.5
20875236–70.2281.9261.3–300.7
208852.133.4–72.5283.1265.7–301.5
208950.936.8–67.7280.8261.2–301.6
209052.832.7–72.3280.5264.5–297.6
209154.133.4–70283.3264.3–298.9
209251.532.8–66.4281.1261.5–299.4
209348.734.9–66.7280.5263.4–296.1
209450.331.4–70.1283264.5–300
209552.733.7–72.2285.5264.5–302.9
209654.134.9–72.5281.8264.8–299.8
209753.136.1–71.9281.5263.3–299
20985234.3–70.7282.5263.9–301.5
209955.737–70.7282.7265.1–298
210051.634.3–71.2282.7261–298.2

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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