Argentina vs Australia

Argentina vs Australia: Tropical nights

Tropical nights in 2014: 42.6 nights in Argentina and 135.1 nights in Australia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 92.5 nights, or 3.17 times that in Argentina.

nights a year · CMIP6

Argentina vs Australia: Tropical nightsTropical nights in 2014: 42.6 nights in Argentina and 135.1 nights in Australia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 92.5 nights, or 3.17 times that in Argentina.
ArgentinaAustraliaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Australia 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 Australia at 169.9 nights in 2100.

Every year

nights a year · CMIP6

YearArgentinaAustralia
201442.6135.1
201341.8133
201241132.9
201141.5133.8
201040.8134.2
200941.6132.3
200841.4132.3
200739.6131.8
200639.3128.1
200540.1131.7
200440.6131.4
200338.7132.4
200240.2129.7
200139.5130.1
200039.5129.7
199938.4127.7
199838.8128.1
199738.5124.5
199637123.9
199535.7123.5
199434.7124.4
199334.3121.4
199233.4116.7
199136.8125.1
199036126
198937124.4
198836.9125.2
198736.1124.4
198636.4124.9
198536122.7
198434.7123.9
198335.2122.5
198235.7124.7
198137.3123.3
198036.3123.7
197937.5122.3
197835.7121.2
197735.1120.6
197635.7121.1
197534.8118.6
197435.4119.7
197334.1123.3
197235.5120.2
197134.7120.4
197034.9118.5
196933.4120.9
196834.6118.9
196733118.6
196634.3116.5
196532.2116.5
196430.3112.5
196332114.6
196235.2119
196135.6121.9
196035.6120.7
195934.5120.3
195833.3121.8
195735.7119.8
195635119.9
195534.4117.5
195433.6119.9
195335.8118.5
195234.4119.9
195135.4119.6
195033.9119.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaAustralia
201544.433.5–53.4134116.5–149.2
201643.532.4–53.4134.8118.2–149.5
201742.834.2–52.6136.1119.3–149.5
201842.632.7–52.6135.8118.4–151.4
201943.633.4–53.1136.6120.4–151.6
202045.735.5–57.2136119.8–151.4
202145.634.3–56.4135.6118.6–151.2
202244.633.3–56.4138.6121.4–155.1
202344.934.9–53.9139.9123.6–155.2
202445.834.2–57.5141122.4–156.1
202546.536–58.1140.9121–159.3
202647.936.7–57139.4121.9–157.8
202746.434.5–56.3140.4123.7–156
202846.133.5–58.5141.8125.4–158.7
202948.336–58.8143.3126–159.6
203047.835.4–60.3140.1125.4–156.4
203146.935.5–58.7141.6124.9–156.9
20324837.9–59.7144.6128.6–162.1
203347.436.7–57.6144.5127.7–159.2
203447.837.8–58.9145129.2–161.3
203547.339–59146.5128.8–161.8
203648.939.2–58.4146.9128–161.8
20375141.2–60.9146.6130.1–161.6
203848.737.9–59.7148.2131.2–164
203948.839.1–58.4146.9130.3–163.4
204050.440.4–62.3147.9130.6–164.6
204150.740.4–61.7147.6130.5–165.9
20425037.3–61.1148.2129.2–166.5
204350.340.5–61148.9133.1–164.5
20445240–65151135.2–166.3
204552.441.3–65.6149.3130.9–164.3
204651.941.2–62.7151.2135.4–168
204751.542–64153.5132.9–169.5
204854.542.6–65154.1135.2–171.4
204953.942.8–64.9153.4137.4–170.1
205052.543.6–62.4152.3133–170.6
205155.743.3–67.4154.5135.1–171.8
205255.642.2–67154.7134.9–175.7
205355.342.6–67.6153.8131.8–173
205454.743–66.7152.8134.4–172.4
205555.942.3–67.2155.2138.1–174.8
205657.642.8–68.6157139.6–173.6
205756.842.3–68.7156.3137.4–172.3
205854.841.5–68.1158.3135.3–176.6
205957.844.9–70.3157.9138.9–174.7
206056.943.4–67.9158.4140.3–176.8
206156.542.3–70.6158.8139.6–175.2
206257.345.8–68.5156.1137.8–172.7
206358.244.6–70.2160.2140–178.6
206458.845.8–71.5159.3140.5–177.9
206558.746–71.1156.7136.6–177.5
206659.947–68.9161.6142–180.6
206758.944.8–71.5162.5141.6–183.1
206857.844.3–70.3162.4140.7–180.1
206959.445.4–70.5162.6143.3–181
207061.348.2–74.3161.4140.4–180.3
207160.148.7–73.2162.1142–181.9
207260.146.7–73.7162.2142.3–179.6
207360.847.6–73.5163.8144.6–182.6
207460.447.6–73.7162.2142.8–181.6
207561.347.9–73.9163.1143–180.9
207661.146.8–75.8163.2141.1–181.9
207760.647.1–73.1163.1141.8–181.8
207863.449.4–75.6163.9145.8–181.3
207959.948.7–73163.3143.1–186
20806348.1–75.5163142.7–183.3
208161.448.7–73.5165.8142.9–185.5
208261.747.7–75164.6145–182.6
208362.148.2–75.6164.2141.3–187
208462.950.3–76165.6140.7–187.4
20856246.9–76.4167.2143.9–187.5
208662.749.4–76.4166.8143.2–186.2
208761.847.9–74.9165.2142.9–189.1
208864.450.8–77.5167.5146–187.8
208962.749.3–76.3166.3146.9–184.2
209064.152.5–77.1168.6145–188.3
209164.451.7–78.3168.3145.8–186.5
209265.650.8–78.3167.4144.8–185.2
209362.749.7–76.8168.2146–191.5
209463.950.1–78.5169146.8–187.2
209562.948.8–77.9169.5146.9–189.1
209664.749.4–78.9170.2145.3–192.8
209764.552.4–80.1168.2145.9–187.4
209865.652.7–78.7169.7149.4–190.8
209965.249.3–80.2167.1147.5–187.7
210065.250–81.7169.9149.9–190.1

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

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