Argentina vs Japan

Argentina vs Japan: Tropical nights

Tropical nights in 2014: 42.6 nights in Argentina and 58.6 nights in Japan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Japan, by 16 nights, or 1.37 times that in Argentina.

nights a year · CMIP6

Argentina vs Japan: Tropical nightsTropical nights in 2014: 42.6 nights in Argentina and 58.6 nights in Japan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Japan, by 16 nights, or 1.37 times that in Argentina.
ArgentinaJapanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Japan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Argentina at 65.2 nights and Japan at 87.7 nights in 2100.

Every year

nights a year · CMIP6

YearArgentinaJapan
201442.658.6
201341.859.9
20124159.3
201141.557.9
201040.859.6
200941.657.6
200841.457.3
200739.656.6
200639.357.5
200540.157.2
200440.656.7
200338.756.1
200240.256
200139.554.2
200039.553.8
199938.455.3
199838.852.4
199738.552.4
19963752.9
199535.749.7
199434.749.5
199334.345.4
199233.445.1
199136.849.4
19903650.7
19893751.4
198836.948.1
198736.147.7
198636.446.1
19853646.7
198434.744.8
198335.241.9
198235.746.4
198137.345.9
198036.346.5
197937.546.7
197835.747.6
197735.145.8
197635.746
197534.846.9
197435.445.6
197334.144.3
197235.545.8
197134.744.8
197034.944
196933.446.9
196834.645.7
19673348.3
196634.345.9
196532.245.8
196430.344.9
19633248.3
196235.245.6
196135.648.9
196035.646.4
195934.546.9
195833.348.8
195735.749.2
19563550.6
195534.447.9
195433.646.9
195335.849.2
195234.449.5
195135.446.2
195033.949.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaJapan
201544.433.5–53.460.649.3–74.4
201643.532.4–53.461.547.9–73.9
201742.834.2–52.662.352.1–75.8
201842.632.7–52.660.548.5–73.8
201943.633.4–53.164.152.1–80.1
202045.735.5–57.263.151–74.5
202145.634.3–56.462.348.5–78.8
202244.633.3–56.464.653.8–76.5
202344.934.9–53.965.951.7–78
202445.834.2–57.565.352.9–80.7
202546.536–58.165.652.8–80.4
202647.936.7–5765.554.2–81.2
202746.434.5–56.366.452.9–79.5
202846.133.5–58.565.352.4–80.1
202948.336–58.868.555–80.4
203047.835.4–60.366.552.3–80.6
203146.935.5–58.766.554.7–80
20324837.9–59.76650.8–82.1
203347.436.7–57.670.354.7–84.8
203447.837.8–58.968.553.9–81.7
203547.339–5972.960.4–84.6
203648.939.2–58.472.556.1–89.7
20375141.2–60.967.656.7–82.5
203848.737.9–59.770.558.6–83.8
203948.839.1–58.470.455.6–85.7
204050.440.4–62.373.657.4–89.3
204150.740.4–61.772.955.6–88.5
20425037.3–61.171.258.1–86.4
204350.340.5–6173.357.9–88.1
20445240–6572.657.8–85.5
204552.441.3–65.672.959.5–86.7
204651.941.2–62.776.261–90.3
204751.542–6475.656.6–89.3
204854.542.6–6574.858.5–89.4
204953.942.8–64.974.359.7–90.8
205052.543.6–62.475.160.8–89.3
205155.743.3–67.475.861.1–92.4
205255.642.2–6774.557.9–90.4
205355.342.6–67.678.559.6–91.6
205454.743–66.775.959.6–89.3
205555.942.3–67.276.862.2–95.1
205657.642.8–68.677.861.9–93.7
205756.842.3–68.779.962.8–94.4
205854.841.5–68.179.263.7–94.9
205957.844.9–70.379.858–95.6
206056.943.4–67.978.261.1–95.1
206156.542.3–70.680.865.7–96.7
206257.345.8–68.58063.6–96.3
206358.244.6–70.28064.1–96.5
206458.845.8–71.577.661.4–95.2
206558.746–71.181.763–97.4
206659.947–68.980.363.8–94.2
206758.944.8–71.581.363.2–97.1
206857.844.3–70.379.861.4–99.3
206959.445.4–70.582.365–96.1
207061.348.2–74.383.360.2–102.3
207160.148.7–73.283.663.6–99.2
207260.146.7–73.784.363.3–99.1
207360.847.6–73.583.564.9–97.4
207460.447.6–73.784.366.8–100.9
207561.347.9–73.985.664.1–99.8
207661.146.8–75.883.968.8–99.3
207760.647.1–73.186.467.6–102.4
207863.449.4–75.684.167.7–103.2
207959.948.7–7386.168.3–99.4
20806348.1–75.584.767.6–103.7
208161.448.7–73.583.668.5–104.3
208261.747.7–7586.469.4–107.7
208362.148.2–75.685.966.5–105.7
208462.950.3–7685.867.4–102.3
20856246.9–76.487.568.9–102.8
208662.749.4–76.484.668.6–105.3
208761.847.9–74.987.270.3–107
208864.450.8–77.586.866.3–102.5
208962.749.3–76.385.765.9–103.8
209064.152.5–77.189.469.5–104.4
209164.451.7–78.388.367.4–103.1
209265.650.8–78.38667.7–102.3
209362.749.7–76.888.969.8–107.4
209463.950.1–78.587.569.3–103.7
209562.948.8–77.98872.4–104.9
209664.749.4–78.990.771–107.3
209764.552.4–80.189.471–103.1
209865.652.7–78.788.571–106.5
209965.249.3–80.288.370.8–102.4
210065.250–81.787.769.2–106.2

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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