Ireland vs Vietnam

Ireland vs Vietnam: Tropical nights

Tropical nights in 2014: 0 nights in Ireland and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 242.6 nights.

Watch it change on the map

nights a year · CMIP6

Ireland vs Vietnam: Tropical nightsTropical nights in 2014: 0 nights in Ireland and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 242.6 nights.
IrelandVietnamCMIP6 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 Ireland at 0 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearIrelandVietnam
20140242.6
20130243.6
20120242.4
20110241.9
20100240.9
20090240
20080238.7
20070238
20060239.1
20050238.3
20040241.8
20030235.9
20020236.3
20010241.3
20000237
19990236
19980236.8
19970237.1
19960231.4
19950229.9
19940231.2
19930225.3
19920221.9
19910229.8
19900233.1
19890229.2
19880231.7
19870230.3
19860230.9
19850228
19840230.2
19830224.9
19820227.5
19810229.7
19800228.1
19790228.9
19780227.5
19770229
19760225.8
19750225.8
19740225.7
19730230.3
19720225.6
19710225.5
19700226.1
19690227
19680227.1
19670222.9
19660226.8
19650225.4
19640222.6
19630224.3
19620227.8
19610229.4
19600228.5
19590226.2
19580230.9
19570228.4
19560228.7
19550227.5
19540226.3
19530228.2
19520228.5
19510229.2
19500228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIrelandVietnam
201500–0245.8228.2–261.9
201600–0243.7226.1–259.4
201700–0247229.6–260.7
201800–0248.3228.8–263.3
201900–0248.1229.2–262.8
202000–0248.8229.6–262.9
202100–0251.1233.1–266.7
202200–0252.4234.3–266.8
202300–0253.4235.4–266.6
202400–0251.3236.7–264.6
202500–0252.4234.1–266.2
202600–0252.8232.9–268.5
202700–0253.2237–268.8
202800–0254.3237.7–272
202900–0258.1238.5–273.7
203000–0256.4240.9–270.1
203100–0255.9241.2–270.9
203200–0257.4239.1–269.9
203300–0258.3241.7–273.2
203400–0258.8240.7–275.8
203500–0258.6242.5–275.4
203600–0258.3239.1–273.8
203700–0258.7242.4–272.4
203800–0263.4247.6–277.3
203900–0260.2243.7–275.9
204000–0.1260.1242.8–274.8
204100–0263.1245.9–279
204200–0263.6246.5–279
204300–0261.4245.5–279.6
204400–0263.2245.2–277.6
204500–0265.5249.6–281.4
204600–0264.9246.8–278.1
204700–0266.9250.4–282.9
204800–0268250.5–283.8
204900–0.1267.8251.2–284.8
205000–0268251.2–283.5
205100–0.1270.9254.3–285.4
205200–0.1268.3253.3–282.8
205300–0268.5250.1–283.2
205400–0.1269.1250.8–283.6
205500–0270249.8–284.2
205600–0271.7254.8–290.1
205700–0.2270253–285.7
205800–0.3270.7252.9–286.5
205900–0273257.6–286.6
206000–0.3275.7255.6–290.6
206100–0.1273.5254.6–289.5
206200–0.1271.4253.1–290.2
206300–0.2272.9252.7–288.1
206400–0273.8254.4–288.1
206500–0.2272255.8–286.3
206600–0271.8254.4–287.3
206700–0.5270.8252.1–287.6
206800–0.1275.6256.9–292.4
206900–0.1276.4258.5–292
207000–0.1274.6257.8–292.8
207100–0.1276.2255.2–294.1
207200–0277256.8–291.4
207300–0.6278.5262.7–293.4
207400–0.2277.6259.2–295.8
207500–0.1276.4258.7–294.4
207600–0.6279.2258.5–296.6
207700–0.1280264.9–294.7
207800–0.7278.4258.6–295.5
207900–0.1279.3263.4–293.6
208000–0280261.4–296.5
208100–0.1280.4261.2–297.9
208200–0.3280.9258.9–296
208300–0.1278.4261.6–295
208400–0279257.4–293.8
208500–0.1281.3265–297.8
208600–1.2282.3260.2–297.5
208700–1.1281.9261.3–300.7
208800–0.2283.1265.7–301.5
208900–0.4280.8261.2–301.6
209000–0.1280.5264.5–297.6
209100–0.4283.3264.3–298.9
209200–0.3281.1261.5–299.4
209300–0.2280.5263.4–296.1
209400–0.3283264.5–300
209500–0.6285.5264.5–302.9
209600–0.6281.8264.8–299.8
209700–0.6281.5263.3–299
209800–0.9282.5263.9–301.5
209900–0.6282.7265.1–298
210000–0.2282.7261–298.2

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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