Ireland vs Myanmar (Burma)

Ireland vs Myanmar (Burma): Tropical nights

Tropical nights in 2014: 0 nights in Ireland and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 201.9 nights.

Watch it change on the map

nights a year · CMIP6

Ireland vs Myanmar (Burma): Tropical nightsTropical nights in 2014: 0 nights in Ireland and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 201.9 nights.
IrelandMyanmar (Burma)CMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Myanmar (Burma) 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 Myanmar (Burma) at 244.5 nights in 2100.

Every year

nights a year · CMIP6

YearIrelandMyanmar (Burma)
20140201.9
20130203.1
20120201.1
20110200.9
20100202.1
20090199
20080198.1
20070196.8
20060198.2
20050196.7
20040200.3
20030195.3
20020196.6
20010199
20000197.2
19990196.4
19980194.7
19970194.4
19960191.4
19950189.9
19940188.8
19930185
19920180.5
19910191.7
19900191.5
19890190.3
19880190.7
19870190.8
19860189.7
19850187.4
19840189.1
19830182.3
19820186.7
19810188.4
19800189
19790189.8
19780186.8
19770187.4
19760185.8
19750183.6
19740185.5
19730187.5
19720184.8
19710185.2
19700184.9
19690184.3
19680183.7
19670182.3
19660186.2
19650182.9
19640180.6
19630183.1
19620187.3
19610188.7
19600187.1
19590186.5
19580187.1
19570186.2
19560187.9
19550185.9
19540185.7
19530185
19520186.1
19510187.1
19500186.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIrelandMyanmar (Burma)
201500–0205.2186.4–218.9
201600–0202.8186.2–218.8
201700–0203.4187.3–218.3
201800–0205.5190.9–219.9
201900–0205.2186.7–222.2
202000–0208.2188.5–223.5
202100–0208.9191.2–224.1
202200–0209.9192.7–224.9
202300–0210.6195.4–226.3
202400–0210.4193.8–226.6
202500–0209.9190.3–225.2
202600–0212.2194.3–229.2
202700–0212195.6–228.6
202800–0213195.7–227.2
202900–0215.3193.9–231.9
203000–0212.2194.9–228
203100–0214.3197.2–230.8
203200–0215199.3–229.6
203300–0215.5198.5–230.1
203400–0214.9198.4–233.5
203500–0214.9199.2–236.8
203600–0216198.7–234.5
203700–0217.2199.6–233.5
203800–0220.7204.8–235.1
203900–0219.7202.4–234.3
204000–0.1219.2202.9–235
204100–0220.7203.9–237.7
204200–0221.8206.1–237.2
204300–0219.5201.2–237.1
204400–0221.4201.6–239.6
204500–0223.7204.8–241.5
204600–0223.2203.2–240.2
204700–0224.3204.8–241.1
204800–0226.4207.7–243.8
204900–0.1226.5205.6–242.8
205000–0227209.3–243.5
205100–0.1229.6212.4–246.4
205200–0.1227.2208.6–244.2
205300–0227.9208.7–247.7
205400–0.1227.9209.6–244.8
205500–0229.1209.8–247.5
205600–0231.8210.4–252.1
205700–0.2228.6208–249
205800–0.3228.9208.8–249
205900–0230.7212.1–247.5
206000–0.3234.7211.1–251.5
206100–0.1231.9213–247.7
206200–0.1233.6209.9–252.8
206300–0.2233215.4–250.5
206400–0233.2214.4–251.3
206500–0.2230.7210.4–250.7
206600–0233.5214.3–251.2
206700–0.5233211.5–253.3
206800–0.1233.1212.4–253.7
206900–0.1236.1214.6–253.4
207000–0.1235.9218.1–253.4
207100–0.1235.1213.5–259.6
207200–0234.6216.1–252.6
207300–0.6237.2219.3–257.2
207400–0.2236.4215.7–254.5
207500–0.1236.7214.4–255.9
207600–0.6237.7216–257
207700–0.1237.5219–258.7
207800–0.7238.5217.3–257.8
207900–0.1238.5219.2–257.2
208000–0240.5218.8–258.3
208100–0.1240219.7–260.9
208200–0.3239.4217.1–258.8
208300–0.1239.1220.5–259.2
208400–0241.3218.9–260.6
208500–0.1241.7218.8–260.7
208600–1.2241.7217.4–262.7
208700–1.1241.4220.5–260.9
208800–0.2241.8222.3–261.5
208900–0.4240.7221.2–262.6
209000–0.1241.3224.4–260.9
209100–0.4242.6220.3–262.5
209200–0.3241.9221.6–263.3
209300–0.2242.1220.2–260
209400–0.3242.5222.5–261.9
209500–0.6244.9224–264.4
209600–0.6243.9221.1–266.5
209700–0.6243.6219.6–264.2
209800–0.9243.6222.5–263.9
209900–0.6244.7221.8–263.5
210000–0.2244.5223.2–261.8

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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