Argentina vs Egypt

Argentina vs Egypt: Tropical nights

Tropical nights in 2014: 42.6 nights in Argentina and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 102.4 nights, or 3.4 times that in Argentina.

nights a year · CMIP6

Argentina vs Egypt: Tropical nightsTropical nights in 2014: 42.6 nights in Argentina and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 102.4 nights, or 3.4 times that in Argentina.
ArgentinaEgyptCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Egypt 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 Egypt at 183.4 nights in 2100.

Every year

nights a year · CMIP6

YearArgentinaEgypt
201442.6145
201341.8145
201241145.1
201141.5144.7
201040.8143.5
200941.6140.2
200841.4142.6
200739.6140.5
200639.3139.6
200540.1140
200440.6141.3
200338.7141
200240.2137.7
200139.5139
200039.5134.8
199938.4135.5
199838.8133
199738.5134
199637132.1
199535.7130.2
199434.7129.8
199334.3123.6
199233.4126.1
199136.8129.7
199036129.7
198937126
198836.9124.3
198736.1125.8
198636.4128.9
198536125.7
198434.7119.4
198335.2119.4
198235.7120.7
198137.3122.6
198036.3124.9
197937.5119.2
197835.7122.6
197735.1121.3
197635.7123.2
197534.8121.9
197435.4123.1
197334.1123.5
197235.5120.1
197134.7120.7
197034.9119.7
196933.4118.3
196834.6119.4
196733116.2
196634.3116.1
196532.2112.9
196430.3116.4
196332120.2
196235.2118.9
196135.6118.7
196035.6123.6
195934.5123.2
195833.3120.7
195735.7122.4
195635122.7
195534.4119.4
195433.6120.8
195335.8121.3
195234.4120.7
195135.4121.2
195033.9118.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaEgypt
201544.433.5–53.4149.6131.4–164.2
201643.532.4–53.4147.7133.5–160.2
201742.834.2–52.6150.8134.8–163.2
201842.632.7–52.6147.4133.4–165.6
201943.633.4–53.1149.6132.7–164
202045.735.5–57.2150.8136.4–164.7
202145.634.3–56.4152.1137.8–168.1
202244.633.3–56.4154138.1–170.6
202344.934.9–53.9154.4139–168.4
202445.834.2–57.5155.8141.7–168.5
202546.536–58.1154.5139.6–168.1
202647.936.7–57155.1144.5–165.9
202746.434.5–56.3154.2139.5–166.3
202846.133.5–58.5154.5141.8–168.6
202948.336–58.8156.3139.9–169.5
203047.835.4–60.3156.3143.1–169.1
203146.935.5–58.7155.5141.5–171.2
20324837.9–59.7158.3144.6–170.4
203347.436.7–57.6159.9143.8–172.9
203447.837.8–58.9159.8144.9–173.2
203547.339–59163.5146.6–175.8
203648.939.2–58.4156.2143.7–170.6
20375141.2–60.9158.8142.9–173.8
203848.737.9–59.7164.9146.1–177.8
203948.839.1–58.4161.8146.1–180.1
204050.440.4–62.3161.6147.9–176.5
204150.740.4–61.7163.7149.4–177.3
20425037.3–61.1166.5149.7–180.6
204350.340.5–61163.6150.3–176.8
20445240–65162.2147–178
204552.441.3–65.6167.2152.5–181
204651.941.2–62.7166149–181.1
204751.542–64165.9151.8–181.5
204854.542.6–65167.2154.5–180.1
204953.942.8–64.9165.3148.7–177.9
205052.543.6–62.4170152.8–183
205155.743.3–67.4165.6152.7–179.5
205255.642.2–67167.3156–180.2
205355.342.6–67.6170.1153.6–183.8
205454.743–66.7169153.3–183
205555.942.3–67.2170.5153.5–183.3
205657.642.8–68.6168.3151.2–181.4
205756.842.3–68.7166.8150.7–185.3
205854.841.5–68.1171.8154.2–188.2
205957.844.9–70.3173.3157.8–188.6
206056.943.4–67.9170.5154.8–189.3
206156.542.3–70.6170.3155.1–184.6
206257.345.8–68.5172.1155.2–185.7
206358.244.6–70.2169.7152.8–182.6
206458.845.8–71.5172.3155.9–187.2
206558.746–71.1173.3159.7–189.9
206659.947–68.9170155–187.7
206758.944.8–71.5176.2161.5–190
206857.844.3–70.3174.6157.3–193.1
206959.445.4–70.5175.8158.8–191.7
207061.348.2–74.3173.3158.3–191.7
207160.148.7–73.2176.8158.1–194.7
207260.146.7–73.7177.6160.8–192.1
207360.847.6–73.5176159.2–189.3
207460.447.6–73.7171.9156.5–194.1
207561.347.9–73.9171.8157–191.9
207661.146.8–75.8177161–194.6
207760.647.1–73.1179.7157–194.1
207863.449.4–75.6178.4161–195
207959.948.7–73178.2160.2–193.7
20806348.1–75.5178.5163–193.3
208161.448.7–73.5177.2160–192.8
208261.747.7–75178.8164.5–193.3
208362.148.2–75.6180.6164.4–195.7
208462.950.3–76181.4162.4–197.8
20856246.9–76.4178.8163–196.7
208662.749.4–76.4181.9166.6–198.8
208761.847.9–74.9178156.4–194.3
208864.450.8–77.5177.8163.5–196
208962.749.3–76.3180.9163.5–198.9
209064.152.5–77.1179.9162.4–197.8
209164.451.7–78.3184.2165.1–198.9
209265.650.8–78.3180.3162.9–196.3
209362.749.7–76.8181.1166.1–198.2
209463.950.1–78.5185.4168–198.9
209562.948.8–77.9181.9165.5–197.3
209664.749.4–78.9183.1163.5–200.3
209764.552.4–80.1181.5165.4–198.9
209865.652.7–78.7181.7162.1–198.8
209965.249.3–80.2179.9164.2–197.8
210065.250–81.7183.4162.9–198.1

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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