Ireland vs Sudan

Ireland vs Sudan: Tropical nights

Tropical nights in 2014: 0 nights in Ireland and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 242.4 nights.

Watch it change on the map

nights a year · CMIP6

Ireland vs Sudan: Tropical nightsTropical nights in 2014: 0 nights in Ireland and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 242.4 nights.
IrelandSudanCMIP6 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 Ireland at 0 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearIrelandSudan
20140242.4
20130240
20120242
20110242.2
20100240.6
20090236.5
20080237.1
20070236
20060235.3
20050233.1
20040233.5
20030235.6
20020234.7
20010235.4
20000230.5
19990232.1
19980230.2
19970231.1
19960227.3
19950227.8
19940225.3
19930219.1
19920217.8
19910227.3
19900227.5
19890223
19880223.1
19870224.4
19860226.4
19850222.1
19840220.7
19830217
19820216.3
19810223.2
19800220
19790218.4
19780218.5
19770219.3
19760220.1
19750215.7
19740217.5
19730220
19720217.9
19710215.5
19700217
19690213.1
19680214
19670210.3
19660213.3
19650213.4
19640213.2
19630210.1
19620217
19610216.9
19600221.3
19590217.8
19580216.2
19570218.9
19560217.2
19550216.6
19540218.9
19530215.1
19520216.4
19510218.5
19500214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIrelandSudan
201500–0242.3225.3–258.3
201600–0241.4223.3–254.1
201700–0243.2223–259.1
201800–0242.3226.4–258.5
201900–0243.1221.7–260.4
202000–0244.9225.9–261.7
202100–0245.6229.1–261.5
202200–0249230.9–262.3
202300–0247.1226.8–263.1
202400–0251.5232.8–266.1
202500–0250.7232.4–265.6
202600–0250230.8–266.6
202700–0248.8228.4–265.6
202800–0249232.2–263.1
202900–0251.4232.1–266
203000–0252235.4–266.7
203100–0253.3234.4–268.9
203200–0250.4232.3–266.6
203300–0254.4235.3–269.4
203400–0254.2234.5–269.9
203500–0258.3240.2–273.6
203600–0252.8235.6–268.6
203700–0256.7238.6–271.8
203800–0258.7244.8–272.1
203900–0259.5241.2–272.5
204000–0.1256.4236.7–272.3
204100–0259.1241.2–274.5
204200–0258.7242–274.7
204300–0258.1240.3–272.6
204400–0257.3238.6–274.7
204500–0258.8243.1–276.2
204600–0261.1241.7–277.6
204700–0261.4244.6–278.4
204800–0260.4243.4–279.5
204900–0.1261.9242.6–275.9
205000–0263.5245.4–279
205100–0.1263.6246.6–278.8
205200–0.1263.8248.7–278.3
205300–0262.8242.4–279.2
205400–0.1266.3246.6–282.9
205500–0265.6245.9–281.4
205600–0264.1242.6–281.5
205700–0.2266.4247.6–283.4
205800–0.3265.2247.4–280.3
205900–0268.4249.6–285.4
206000–0.3263.6246.7–284.4
206100–0.1266.9250.1–281.9
206200–0.1266.4248.5–285
206300–0.2267.1246.9–283.4
206400–0269250.7–284.7
206500–0.2269.8253.9–285.6
206600–0271.4251.9–287.3
206700–0.5270.9250–288.4
206800–0.1271.9251.7–289.8
206900–0.1268251.1–286.2
207000–0.1269252.3–285.8
207100–0.1275.5254.1–290.4
207200–0273.3254.2–289.4
207300–0.6271.9250.7–287.6
207400–0.2270.9249–290.1
207500–0.1273.1254–291.9
207600–0.6272.7255.2–290.9
207700–0.1274.6255.2–292.7
207800–0.7274.3255.6–291.2
207900–0.1272255.2–288.5
208000–0276.6256–292.2
208100–0.1275.1254.1–294.8
208200–0.3272.9258.7–288.6
208300–0.1276.5258–291.7
208400–0275.4253–294.9
208500–0.1275.3258.6–291.6
208600–1.2276.4256.9–296.6
208700–1.1273.5253.1–293.3
208800–0.2273.6253.7–293.6
208900–0.4276.5256.6–293.4
209000–0.1276.6256.4–294.6
209100–0.4277.4256.4–296.6
209200–0.3274.6254.3–294.9
209300–0.2278261.9–292.1
209400–0.3280.3262.2–294
209500–0.6277.5262.6–294
209600–0.6279.7258.7–297
209700–0.6276.3254.1–297.6
209800–0.9277.7258.2–295.5
209900–0.6276.8257.2–296.2
210000–0.2278.6259–294.3

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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