Poland vs Thailand

Poland vs Thailand: Tropical nights

Tropical nights in 2014: 0.4 nights in Poland and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 286 nights, or 680 times that in Poland.

nights a year · CMIP6

Poland vs Thailand: Tropical nightsTropical nights in 2014: 0.4 nights in Poland and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 286 nights, or 680 times that in Poland.
PolandThailandCMIP6 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 Poland at 7.9 nights and Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearPolandThailand
20140.4286.4
20130.2289.1
20120.2286.6
20110.2286.4
20100.4286
20090.2286.9
20080.1284.8
20070.1283.2
20060.2284.3
20050.2281.7
20040.4287.5
20030.1279.3
20020280
20010.2285.5
20000.1283.4
19990.1282.5
19980282.7
19970284.8
19960.1279.8
19950.1278.7
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
19780.1276
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
YearPolandThailand
20150.40–3.3290.6272.2–305
20160.60–4.2287.1269.8–306.2
20170.70–3.4290273.8–302.8
20180.40–3.8292.6275.1–308.7
20190.60–3.5291.2272.8–306.7
20200.90–4.5292.4272.2–307.8
20210.60–4.4294.2276.3–308.5
202210–5.4294.8277.2–311.9
20230.80–5.2296.1281.9–310.2
20240.90–4.7291.7275.5–307.8
20251.20–8.4294276.7–306.3
20261.20–6.2296278–309.3
20271.10–4.1295.8276.3–311.1
20281.20–5297279.3–315.1
20291.40–7.7300.3278.7–315
203010–5.9297.7280.2–312.5
20310.70–4.8300.8282.8–317.1
20321.20–8.4297.2280.9–311.4
20331.40–6300281.9–315.8
20341.70–6.8300.8279–318.4
20351.40–6.7298.6281.5–317.8
20362.40–8.9300.4279.9–316.9
203720–8.4299.8280–315.1
20381.40–8.4304.8286.6–319.3
20393.30–9.4300.9281.9–317
20402.20–6.7301.6284.5–315.7
20412.10.1–7.6303.1285.1–318.8
20422.40.1–8.6303.8290–318.3
20432.70–9.9302285.8–317.9
20443.30.1–10.7304.3286.3–318.8
20452.40–7.8307.1287.7–324.2
20462.80.2–11.4305.9285.2–321
20474.30.2–11.6306.6289.5–321.5
20484.20.1–13.2309.4288.9–325.7
20494.40–11308.1287.2–324.1
20502.70.1–11.2307.5291–321.5
20512.10–11.6312.8294.8–326
205230.3–10.9310.9291.2–323.4
20532.70–8.2308.3289.5–323.3
20542.70.2–8.7308.8292.8–322.3
20552.40.1–12.2308.6290.6–325.1
20563.50.2–11.8311.3294.9–326.3
20573.20.3–13.1308.5286.7–326.4
20584.40.3–13.8308291.1–325.1
20593.40.2–15.2312.7295.8–325.3
20603.90.2–10.8313.1294.6–328.6
20615.40.6–12.4314.4289.5–331.1
20623.30.4–14.5311.4293.4–330.3
20634.90.3–15.7314.8296.9–327.3
20644.60.4–12.5312.5295.4–330
20655.30.4–16.1309.6293.1–329.3
20665.60.7–14312.1292.6–328
20674.10.2–13.6311.2289.6–329.4
20683.80.2–13.6310.8292.4–330.6
20695.50.5–16.8315.5296.1–329.5
20704.50.2–17.2314.2292.9–330.7
20713.80.3–16313.8296.4–330.8
207251.1–12.6314.8296–329.6
20735.31.3–17.1316.5299.9–332.1
20744.50.8–17.1317.2295–333.8
20756.20.4–18.6317.2295.3–331.4
207650.5–19.1317.4299.8–335
20774.60.3–18.1317.5297.3–335.9
20786.81–18.1315.9297.1–331.6
20796.80.5–25.3318.5300.5–332.3
20806.31.5–15.6319.8297.4–337.5
20815.51–20.5317.7299.5–334.9
20827.70.8–26.5317.9294.8–333
208360.4–17.4315297.8–332.9
20846.20.5–16.8316295.5–330
20856.40.7–19.1322.6300.8–334.7
20867.70.6–24.6319.4295.2–335.2
20877.60.7–25.8320.2302.2–334.7
20887.11.6–20.5321.4299.8–334.8
20897.20.5–21.9318.9296.4–338.1
20905.40.5–25.2317.6304–337.4
209110.30.6–23.7320.1299.8–336.1
20929.21.5–20316.3298–336.4
20936.20.6–20.8316.1297.7–333.7
20949.20.8–18.4323.4301.8–337.3
209591.3–20.5322.9302.4–338.9
20966.80.9–17.5319.6302.8–336.7
20976.40.3–19.6319.8299.1–336
20988.41.8–20.1320.5303.9–336
20996.10.8–17.6319.9303.1–334.4
21007.91.2–18.1320.8301.1–336.7

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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