Ireland vs Thailand

Ireland vs Thailand: Tropical nights

Tropical nights in 2014: 0 nights in Ireland and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 286.4 nights.

Watch it change on the map

nights a year · CMIP6

Ireland vs Thailand: Tropical nightsTropical nights in 2014: 0 nights in Ireland and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 286.4 nights.
IrelandThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Thailand 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 Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearIrelandThailand
20140286.4
20130289.1
20120286.6
20110286.4
20100286
20090286.9
20080284.8
20070283.2
20060284.3
20050281.7
20040287.5
20030279.3
20020280
20010285.5
20000283.4
19990282.5
19980282.7
19970284.8
19960279.8
19950278.7
19940280.8
19930275.6
19920268.8
19910276.7
19900279.2
19890278.4
19880279.6
19870277.9
19860277.5
19850276
19840277.9
19830273.9
19820275.7
19810277.8
19800277.9
19790278
19780276
19770277.3
19760275.6
19750274.4
19740276
19730280.6
19720273.9
19710273.2
19700276
19690274.8
19680277
19670270.3
19660274.4
19650275.8
19640271.9
19630274.7
19620275.4
19610278.5
19600276.2
19590274.4
19580278.7
19570277.4
19560277
19550274.6
19540275
19530275.4
19520275.1
19510277.5
19500276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIrelandThailand
201500–0290.6272.2–305
201600–0287.1269.8–306.2
201700–0290273.8–302.8
201800–0292.6275.1–308.7
201900–0291.2272.8–306.7
202000–0292.4272.2–307.8
202100–0294.2276.3–308.5
202200–0294.8277.2–311.9
202300–0296.1281.9–310.2
202400–0291.7275.5–307.8
202500–0294276.7–306.3
202600–0296278–309.3
202700–0295.8276.3–311.1
202800–0297279.3–315.1
202900–0300.3278.7–315
203000–0297.7280.2–312.5
203100–0300.8282.8–317.1
203200–0297.2280.9–311.4
203300–0300281.9–315.8
203400–0300.8279–318.4
203500–0298.6281.5–317.8
203600–0300.4279.9–316.9
203700–0299.8280–315.1
203800–0304.8286.6–319.3
203900–0300.9281.9–317
204000–0.1301.6284.5–315.7
204100–0303.1285.1–318.8
204200–0303.8290–318.3
204300–0302285.8–317.9
204400–0304.3286.3–318.8
204500–0307.1287.7–324.2
204600–0305.9285.2–321
204700–0306.6289.5–321.5
204800–0309.4288.9–325.7
204900–0.1308.1287.2–324.1
205000–0307.5291–321.5
205100–0.1312.8294.8–326
205200–0.1310.9291.2–323.4
205300–0308.3289.5–323.3
205400–0.1308.8292.8–322.3
205500–0308.6290.6–325.1
205600–0311.3294.9–326.3
205700–0.2308.5286.7–326.4
205800–0.3308291.1–325.1
205900–0312.7295.8–325.3
206000–0.3313.1294.6–328.6
206100–0.1314.4289.5–331.1
206200–0.1311.4293.4–330.3
206300–0.2314.8296.9–327.3
206400–0312.5295.4–330
206500–0.2309.6293.1–329.3
206600–0312.1292.6–328
206700–0.5311.2289.6–329.4
206800–0.1310.8292.4–330.6
206900–0.1315.5296.1–329.5
207000–0.1314.2292.9–330.7
207100–0.1313.8296.4–330.8
207200–0314.8296–329.6
207300–0.6316.5299.9–332.1
207400–0.2317.2295–333.8
207500–0.1317.2295.3–331.4
207600–0.6317.4299.8–335
207700–0.1317.5297.3–335.9
207800–0.7315.9297.1–331.6
207900–0.1318.5300.5–332.3
208000–0319.8297.4–337.5
208100–0.1317.7299.5–334.9
208200–0.3317.9294.8–333
208300–0.1315297.8–332.9
208400–0316295.5–330
208500–0.1322.6300.8–334.7
208600–1.2319.4295.2–335.2
208700–1.1320.2302.2–334.7
208800–0.2321.4299.8–334.8
208900–0.4318.9296.4–338.1
209000–0.1317.6304–337.4
209100–0.4320.1299.8–336.1
209200–0.3316.3298–336.4
209300–0.2316.1297.7–333.7
209400–0.3323.4301.8–337.3
209500–0.6322.9302.4–338.9
209600–0.6319.6302.8–336.7
209700–0.6319.8299.1–336
209800–0.9320.5303.9–336
209900–0.6319.9303.1–334.4
210000–0.2320.8301.1–336.7

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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