Japan vs Papua New Guinea

Japan vs Papua New Guinea: Tropical nights

Tropical nights in 2014: 58.6 nights in Japan and 250 nights in Papua New Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Papua New Guinea, by 191.4 nights, or 4.26 times that in Japan.

nights a year · CMIP6

Japan vs Papua New Guinea: Tropical nightsTropical nights in 2014: 58.6 nights in Japan and 250 nights in Papua New Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Papua New Guinea, by 191.4 nights, or 4.26 times that in Japan.
JapanPapua New GuineaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Papua New Guinea 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 Papua New Guinea at 276.3 nights in 2100.

Every year

nights a year · CMIP6

YearJapanPapua New Guinea
201458.6250
201359.9250.3
201259.3248.7
201157.9247
201059.6249.1
200957.6247.8
200857.3246.9
200756.6246.6
200657.5247
200557.2247.2
200456.7247
200356.1245.9
200256245.6
200154.2246.5
200053.8245.9
199955.3244.8
199852.4243.9
199752.4243
199652.9241.9
199549.7241.6
199449.5239.6
199345.4236.8
199245.1235
199149.4242.1
199050.7242.7
198951.4240.3
198848.1241.3
198747.7240.8
198646.1241.1
198546.7238.2
198444.8238.3
198341.9236
198246.4239.7
198145.9239.4
198046.5239.4
197946.7238.9
197847.6237.6
197745.8238.1
197646235.2
197546.9237.6
197445.6236.9
197344.3238.1
197245.8236.3
197144.8236.9
197044234.7
196946.9235.9
196845.7235.4
196748.3234.7
196645.9235.3
196545.8233.5
196444.9232
196348.3232.3
196245.6237.1
196148.9237.7
196046.4238.1
195946.9237.5
195848.8238.5
195749.2236.1
195650.6236.9
195547.9237.6
195446.9235.9
195349.2236.5
195249.5237.1
195146.2237.2
195049.9236.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJapanPapua New Guinea
201560.649.3–74.4251.6240.9–257.9
201661.547.9–73.9250.8241.6–258.7
201762.352.1–75.8251.6240–258.6
201860.548.5–73.8252240.2–258.8
201964.152.1–80.1252.2242–259.7
202063.151–74.5253.8242.9–261.3
202162.348.5–78.8253242.7–259.2
202264.653.8–76.5254.2242.9–261.3
202365.951.7–78254243.4–262
202465.352.9–80.7256246.5–263.4
202565.652.8–80.4254.9244.4–263.6
202665.554.2–81.2255.8245–263.7
202766.452.9–79.5255.6245.6–262.9
202865.352.4–80.1256.2246.5–264.2
202968.555–80.4257.9248.1–265.4
203066.552.3–80.6256.8246.2–264.3
203166.554.7–80256.4246–263.8
20326650.8–82.1258.6247.9–267.7
203370.354.7–84.8259.5248.8–266.1
203468.553.9–81.7257.9248.2–265.2
203572.960.4–84.6259.4250–270
203672.556.1–89.7259.6249.8–268.4
203767.656.7–82.5259.4249.3–267.6
203870.558.6–83.8261.1251.9–268.7
203970.455.6–85.7261.6251.5–268.3
204073.657.4–89.3260.6250–271.3
204172.955.6–88.5262.1250.9–271.1
204271.258.1–86.4261.7251.3–271.2
204373.357.9–88.1261.4250.7–270.1
204472.657.8–85.5263.5253.3–271.6
204572.959.5–86.7263.7252.3–272.6
204676.261–90.3264251.2–272.4
204775.656.6–89.3264.7253.1–274.1
204874.858.5–89.4263.6253.4–273.3
204974.359.7–90.8265.6254.3–275.8
205075.160.8–89.3266.3254.6–275.6
205175.861.1–92.4265254–276.5
205274.557.9–90.4266.5255.1–275.9
205378.559.6–91.6265.5254.3–277.2
205475.959.6–89.3265.6255–277.3
205576.862.2–95.1266.9255.8–278.4
205677.861.9–93.7267.6256.1–278.5
205779.962.8–94.4267.1254.9–278
205879.263.7–94.9267.4255.2–278.8
205979.858–95.6267.5255.8–278.8
206078.261.1–95.1270.4257.3–280.1
206180.865.7–96.7268.7257–278.3
20628063.6–96.3268.3254.5–281.2
20638064.1–96.5268.6256.4–281.7
206477.661.4–95.2269.5257–281.3
206581.763–97.4269.1257.2–280.5
206680.363.8–94.2270258.8–282.1
206781.363.2–97.1270256.7–281.9
206879.861.4–99.3271.1256.2–283.4
206982.365–96.1271.8258.6–282.9
207083.360.2–102.3270.7257–281.1
207183.663.6–99.2273.3258.5–284.9
207284.363.3–99.1271.3257.7–282.6
207383.564.9–97.4272.6259.4–284
207484.366.8–100.9272.8258.8–285.6
207585.664.1–99.8273.1258.5–284.4
207683.968.8–99.3272.6258.9–282.9
207786.467.6–102.4273.4259.5–285.8
207884.167.7–103.2273.5260.4–284.1
207986.168.3–99.4273.1259.6–285.6
208084.767.6–103.7274.1260.6–286.6
208183.668.5–104.3274.1260.6–286.9
208286.469.4–107.7274.2259.8–283.7
208385.966.5–105.7275.7261.4–286.9
208485.867.4–102.3275.1261.3–286.7
208587.568.9–102.8275260.2–287.9
208684.668.6–105.3275.4262.7–287.1
208787.270.3–107273.4261–287.5
208886.866.3–102.5276.5262.7–287
208985.765.9–103.8275.4261.5–288.4
209089.469.5–104.4274.9261.9–288.4
209188.367.4–103.1276.8260.9–289.4
20928667.7–102.3276.8262.1–288.4
209388.969.8–107.4275.4262.9–290.1
209487.569.3–103.7276.9262.2–288.1
20958872.4–104.9277261.9–287.5
209690.771–107.3276261.9–293
209789.471–103.1274.9261.5–288.8
209888.571–106.5276.6261.6–289.1
209988.370.8–102.4276.9261.8–290.6
210087.769.2–106.2276.3261.4–287.1

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

Japan vs Papua New Guinea

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