China vs Egypt

China vs Egypt: Tropical nights

Tropical nights in 2014: 41.5 nights in China and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 103.6 nights, or 3.5 times that in China.

nights a year · CMIP6

China vs Egypt: Tropical nightsTropical nights in 2014: 41.5 nights in China and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 103.6 nights, or 3.5 times that in China.
ChinaEgyptCMIP6 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 China at 63.3 nights and Egypt at 183.4 nights in 2100.

Every year

nights a year · CMIP6

YearChinaEgypt
201441.5145
201341.7145
201240.8145.1
201140.2144.7
201040.5143.5
200939.5140.2
200839.2142.6
200738.7140.5
200639.5139.6
200539.5140
200439.7141.3
200338.5141
200238.8137.7
200139.5139
200038.6134.8
199938.5135.5
199837.6133
199737.1134
199636.6132.1
199535.1130.2
199434.9129.8
199333.2123.6
199232.3126.1
199135.9129.7
199036.4129.7
198936.1126
198835.1124.3
198734.5125.8
198634128.9
198533.5125.7
198433.4119.4
198331.5119.4
198234.1120.7
198134.2122.6
198034.3124.9
197933.8119.2
197834.8122.6
197733.3121.3
197632.7123.2
197533.1121.9
197433.3123.1
197333.1123.5
197232.6120.1
197133120.7
197032.4119.7
196933.4118.3
196832.8119.4
196733.4116.2
196633.4116.1
196532.5112.9
196432.1116.4
196334.5120.2
196234118.9
196134.6118.7
196034.1123.6
195934123.2
195835120.7
195734.4122.4
195634.6122.7
195534.2119.4
195434.2120.8
195334.3121.3
195234.3120.7
195135.1121.2
195034.9118.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChinaEgypt
201542.334.8–49.8149.6131.4–164.2
201642.134.4–50147.7133.5–160.2
201743.135.3–51.6150.8134.8–163.2
201842.335.5–49.5147.4133.4–165.6
201943.836.5–51.1149.6132.7–164
202043.736.8–51.1150.8136.4–164.7
202144.136–52.1152.1137.8–168.1
202244.737.5–52.7154138.1–170.6
202345.737.8–53.4154.4139–168.4
202445.738.1–54155.8141.7–168.5
202546.337.5–54.8154.5139.6–168.1
202646.237.6–55.5155.1144.5–165.9
202746.138–54.9154.2139.5–166.3
202846.438.4–54.3154.5141.8–168.6
202946.939.1–55.6156.3139.9–169.5
203047.138.8–55.3156.3143.1–169.1
20314738.8–56155.5141.5–171.2
203248.339.3–57.4158.3144.6–170.4
203347.939.7–56.6159.9143.8–172.9
203448.440.5–57.3159.8144.9–173.2
203549.740.8–58.6163.5146.6–175.8
20364940.1–58.2156.2143.7–170.6
20374941.2–57.6158.8142.9–173.8
203850.542.4–59.3164.9146.1–177.8
203949.641.2–59.2161.8146.1–180.1
204050.942.4–60.4161.6147.9–176.5
204151.342.5–61.1163.7149.4–177.3
204251.642–61.5166.5149.7–180.6
204350.742.7–61163.6150.3–176.8
204451.942.4–61.9162.2147–178
204551.542.8–61.1167.2152.5–181
20465343.7–62.7166149–181.1
204753.544.5–62.5165.9151.8–181.5
204853.144–62.6167.2154.5–180.1
204952.843.8–63.3165.3148.7–177.9
205053.644.4–63.8170152.8–183
205154.345.1–64.8165.6152.7–179.5
205253.444.6–63.2167.3156–180.2
205354.244.2–64.2170.1153.6–183.8
205454.545.3–64.8169153.3–183
20555545.1–65.8170.5153.5–183.3
205655.245.1–66.6168.3151.2–181.4
205754.844.9–65.7166.8150.7–185.3
205855.145.8–67.7171.8154.2–188.2
205955.345.1–67.2173.3157.8–188.6
206057.246.9–68.1170.5154.8–189.3
206156.546.6–66.3170.3155.1–184.6
206256.846.9–68.5172.1155.2–185.7
206357.247.2–68.6169.7152.8–182.6
20645747.1–67.7172.3155.9–187.2
206557.347.1–67.8173.3159.7–189.9
206657.347.9–68.7170155–187.7
206757.546.4–68.2176.2161.5–190
206858.748.5–70.5174.6157.3–193.1
206958.548.4–69175.8158.8–191.7
20705847.6–71.7173.3158.3–191.7
207159.347.4–71.6176.8158.1–194.7
207259.248.1–71.5177.6160.8–192.1
207359.849.1–70.9176159.2–189.3
207459.648.7–71.1171.9156.5–194.1
207558.748.3–71.4171.8157–191.9
207660.249–70.9177161–194.6
207760.851.1–72.4179.7157–194.1
207859.648.8–72.4178.4161–195
207960.750.1–72.6178.2160.2–193.7
208059.950–72.3178.5163–193.3
208160.950–73.2177.2160–192.8
20826149.8–73.3178.8164.5–193.3
208361.251.2–73.6180.6164.4–195.7
208461.749.7–74.6181.4162.4–197.8
208561.250.8–75.2178.8163–196.7
208661.648.9–74.5181.9166.6–198.8
208761.650.6–75178156.4–194.3
208862.750.5–77.1177.8163.5–196
208961.950–75.2180.9163.5–198.9
209062.551.4–73.7179.9162.4–197.8
209163.852–75.7184.2165.1–198.9
209263.251.2–75.1180.3162.9–196.3
209363.252–75.4181.1166.1–198.2
20946351.1–76.3185.4168–198.9
209563.952.8–76.4181.9165.5–197.3
209663.852.2–76.8183.1163.5–200.3
209762.750.7–75.1181.5165.4–198.9
209863.451.2–76.8181.7162.1–198.8
209963.851.9–76.1179.9164.2–197.8
210063.351.7–76.2183.4162.9–198.1

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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