Japan vs Malaysia

Japan vs Malaysia: Tropical nights

Tropical nights in 2014: 58.6 nights in Japan and 323 nights in Malaysia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 264.4 nights, or 5.51 times that in Japan.

nights a year · CMIP6

Japan vs Malaysia: Tropical nightsTropical nights in 2014: 58.6 nights in Japan and 323 nights in Malaysia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 264.4 nights, or 5.51 times that in Japan.
JapanMalaysiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malaysia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Japan at 87.7 nights and Malaysia at 354.8 nights in 2100.

Every year

nights a year · CMIP6

YearJapanMalaysia
201458.6323
201359.9323.9
201259.3323.3
201157.9320.9
201059.6320.9
200957.6320.3
200857.3317.9
200756.6317.8
200657.5317.3
200557.2318.4
200456.7319.4
200356.1316
200256316
200154.2316.5
200053.8314.5
199955.3312.9
199852.4312.5
199752.4310.6
199652.9307.1
199549.7307.3
199449.5304.1
199345.4298.2
199245.1293.6
199149.4308.9
199050.7310.4
198951.4306.9
198848.1306.8
198747.7306
198646.1305.5
198546.7301.7
198444.8302.1
198341.9297.2
198246.4302.6
198145.9303.7
198046.5303.3
197946.7302.4
197847.6301
197745.8301.3
197646298.9
197546.9297.7
197445.6298.1
197344.3299.1
197245.8297
197144.8298.3
197044296
196946.9297.4
196845.7295.2
196748.3293.1
196645.9296.2
196545.8293.1
196444.9291.3
196348.3291.6
196245.6299.1
196148.9299.5
196046.4300.1
195946.9299.9
195848.8301.7
195749.2299
195650.6298.1
195547.9299.3
195446.9296.8
195349.2298.8
195249.5299.4
195146.2299.1
195049.9300
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJapanMalaysia
201560.649.3–74.4324.4308.5–333.7
201661.547.9–73.9323.8310.5–334.9
201762.352.1–75.8325.6309.9–334.4
201860.548.5–73.8325.7310.7–335.4
201964.152.1–80.1326.4311.9–335.3
202063.151–74.5328313.4–337.7
202162.348.5–78.8328.8314–336.3
202264.653.8–76.5329315.3–339
202365.951.7–78330.1316–340.5
202465.352.9–80.7332319.6–340.7
202565.652.8–80.4330.3317.7–342
202665.554.2–81.2330.2315.1–342.9
202766.452.9–79.5331315.2–342.4
202865.352.4–80.1332.4319–341.9
202968.555–80.4334.4322.5–344.9
203066.552.3–80.6333.4319.2–342.6
203166.554.7–80333.8317.1–342.5
20326650.8–82.1336.5323.3–345.9
203370.354.7–84.8336.4322.5–343.3
203468.553.9–81.7334.8322.7–344.3
203572.960.4–84.6334.7323.3–347.9
203672.556.1–89.7336.9320.7–346.2
203767.656.7–82.5338.3325.4–345.3
203870.558.6–83.8339.7326.9–347.4
203970.455.6–85.7340326–347.4
204073.657.4–89.3338.6325.1–349
204172.955.6–88.5340.3326.3–348.1
204271.258.1–86.4339.9326.9–349.6
204373.357.9–88.1338.3324.3–348.3
204472.657.8–85.5340.6326.3–350.4
204572.959.5–86.7340.9327.4–349.8
204676.261–90.3343.3327.6–351.4
204775.656.6–89.3343325.3–352.9
204874.858.5–89.4342.6329–352.5
204974.359.7–90.8343.8331.1–354.1
205075.160.8–89.3342.7328.1–353.5
205175.861.1–92.4344.5330.7–354.3
205274.557.9–90.4345.1330.3–355
205378.559.6–91.6344.2331–353.5
205475.959.6–89.3345330.1–354.6
205576.862.2–95.1346.1332–354.3
205677.861.9–93.7346.5332.2–356.6
205779.962.8–94.4347.9332.3–355.4
205879.263.7–94.9347333.5–355.6
205979.858–95.6346.9333.4–356.2
206078.261.1–95.1349.7334.9–357.3
206180.865.7–96.7348.4334.1–356.1
20628063.6–96.3348.4331.8–357.7
20638064.1–96.5348.7333.2–357.7
206477.661.4–95.2349.1333.8–357.5
206581.763–97.4348.6334.6–356.8
206680.363.8–94.2349.3335–357.5
206781.363.2–97.1349.1334–356.6
206879.861.4–99.3350334.6–358.7
206982.365–96.1349.5334.2–357.9
207083.360.2–102.3349.2336.2–357.7
207183.663.6–99.2350.9336.1–358.6
207284.363.3–99.1351337.2–357.9
207383.564.9–97.4351.1338.7–359.9
207484.366.8–100.9350337.8–359.4
207585.664.1–99.8350.5335.4–358.1
207683.968.8–99.3351.6337.5–359.7
207786.467.6–102.4352.4336.4–359.9
207884.167.7–103.2351.3338.9–358.8
207986.168.3–99.4351.8337.9–359.7
208084.767.6–103.7352.4338.8–360.7
208183.668.5–104.3352.2337.3–359.7
208286.469.4–107.7352.7336.9–358.9
208385.966.5–105.7352.5339.6–360.4
208485.867.4–102.3353.5337.9–360.4
208587.568.9–102.8352.9340.2–360.2
208684.668.6–105.3352.8339.9–360
208787.270.3–107352.8338.4–361
208886.866.3–102.5354340–360.9
208985.765.9–103.8353.7339.7–359.9
209089.469.5–104.4353.3340.3–360.6
209188.367.4–103.1354.7338.9–361
20928667.7–102.3355.3340.4–361.7
209388.969.8–107.4353.5339.3–362
209487.569.3–103.7355.4341.2–360.4
20958872.4–104.9355339.4–360.6
209690.771–107.3353.6339.6–363.1
209789.471–103.1354.3339.5–360.6
209888.571–106.5354.8340.2–360.7
209988.370.8–102.4353.7340–361.8
210087.769.2–106.2354.8340.4–360.8

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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