China vs Ethiopia

China vs Ethiopia: Tropical nights

Tropical nights in 2014: 41.5 nights in China and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 103.5 nights, or 3.5 times that in China.

nights a year · CMIP6

China vs Ethiopia: Tropical nightsTropical nights in 2014: 41.5 nights in China and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 103.5 nights, or 3.5 times that in China.
ChinaEthiopiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ethiopia 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 Ethiopia at 201.7 nights in 2100.

Every year

nights a year · CMIP6

YearChinaEthiopia
201441.5144.9
201341.7145.1
201240.8144.4
201140.2145.6
201040.5142.4
200939.5140.3
200839.2137.1
200738.7138.2
200639.5138.7
200539.5138.1
200439.7139.1
200338.5138.8
200238.8137.4
200139.5139.2
200038.6135.5
199938.5132.6
199837.6132.9
199737.1132.7
199636.6129.7
199535.1127.8
199434.9126.3
199333.2122.5
199232.3119.7
199135.9129.5
199036.4132.7
198936.1129.4
198835.1128.2
198734.5126.4
198634128.1
198533.5122.8
198433.4124.8
198331.5120.6
198234.1126.3
198134.2127
198034.3124.9
197933.8125.1
197834.8124.7
197733.3125.8
197632.7122
197533.1119.5
197433.3124
197333.1125.2
197232.6122.3
197133120.6
197032.4121.3
196933.4120.4
196832.8119.1
196733.4118.1
196633.4119.5
196532.5117.4
196432.1116.6
196334.5115.7
196234121.6
196134.6124.2
196034.1124.5
195934121.6
195835124.1
195734.4123.2
195634.6120.9
195534.2122.8
195434.2121.6
195334.3121.2
195234.3122.8
195135.1123
195034.9122
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChinaEthiopia
201542.334.8–49.8146.6129.4–163.9
201642.134.4–50144.1127–160.6
201743.135.3–51.6148.3129.2–164.9
201842.335.5–49.5149.6131.6–166
201943.836.5–51.1146.2129.3–166
202043.736.8–51.1149.4129.6–168.5
202144.136–52.1150.7132.1–170
202244.737.5–52.7154135.7–171.2
202345.737.8–53.4153.5135.4–171.4
202445.738.1–54156.5135.9–175.6
202546.337.5–54.8154132.6–175.5
202646.237.6–55.5153132–175
202746.138–54.9154.2134.4–175.3
202846.438.4–54.3157.5138.3–177.4
202946.939.1–55.6159.2141.8–176.8
203047.138.8–55.3156.8136.3–175.7
20314738.8–56161.4142.4–179.1
203248.339.3–57.4161.7143.1–182.5
203347.939.7–56.6161.8140–180.9
203448.440.5–57.3158.8141.5–184.3
203549.740.8–58.6162141.7–184.2
20364940.1–58.2160.5143.6–179.4
20374941.2–57.6165145.8–184.5
203850.542.4–59.3167.1146.5–186.7
203949.641.2–59.2164.5143.9–186
204050.942.4–60.4165.9146.2–190.1
204151.342.5–61.1167.9146.3–189.3
204251.642–61.5167.7146–194.3
204350.742.7–61167.3145.5–190.8
204451.942.4–61.9168.2148.2–189.9
204551.542.8–61.1170.7149.1–192.3
20465343.7–62.7175.3150–198.6
204753.544.5–62.5176.9151.8–197.5
204853.144–62.6177.5155.4–199.1
204952.843.8–63.3177.5157.9–198.4
205053.644.4–63.8176.4153.8–199
205154.345.1–64.8176.6155.3–199.7
205253.444.6–63.2177155.6–200.7
205354.244.2–64.2176.7154.2–201.6
205454.545.3–64.8177.6156.9–201.1
20555545.1–65.8180.6155.2–202.3
205655.245.1–66.6177.3155–205.4
205754.844.9–65.7180.3159.3–205.5
205855.145.8–67.7182.6153.7–209.4
205955.345.1–67.2185.7160.1–210.6
206057.246.9–68.1185.9160.3–210.4
206156.546.6–66.3183.3158.3–211.7
206256.846.9–68.5183.8155.4–213
206357.247.2–68.6184.5159.1–208.6
20645747.1–67.7186.7160.6–207.2
206557.347.1–67.8183.7162.4–212.9
206657.347.9–68.7187.1165.4–210.1
206757.546.4–68.2187.1160.7–214.5
206858.748.5–70.5187.6160.4–215.8
206958.548.4–69187.8165.4–215.8
20705847.6–71.7187.9161.6–216.9
207159.347.4–71.6192.7165.2–219.5
207259.248.1–71.5193.6167.4–214.5
207359.849.1–70.9193.3169.7–218.7
207459.648.7–71.1188.5163.9–219
207558.748.3–71.4191.9162.7–218.6
207660.249–70.9195166.9–218.9
207760.851.1–72.4194.1169.3–223.3
207859.648.8–72.4192.1168.4–218.6
207960.750.1–72.6193.4166.6–220.9
208059.950–72.3196.1169.2–222.4
208160.950–73.2194.6171–221.4
20826149.8–73.3195.4168.8–219.9
208361.251.2–73.6194.6168.2–228.7
208461.749.7–74.6198.5170.7–224.2
208561.250.8–75.2198.4173.1–226.3
208661.648.9–74.5198.6172.3–228.4
208761.650.6–75199170.6–226.6
208862.750.5–77.1199170.7–227.7
208961.950–75.2198.6171.2–226.2
209062.551.4–73.7198.6173.4–227.7
209163.852–75.7203.6171.9–232.1
209263.251.2–75.1200.7172.5–229.7
209363.252–75.4201.4175.2–228.6
20946351.1–76.3200.2174–228.9
209563.952.8–76.4203.9175.7–231.9
209663.852.2–76.8199.1170.5–230.8
209762.750.7–75.1198.4171.8–229.3
209863.451.2–76.8198.7172.1–231.5
209963.851.9–76.1201.8172.8–233.3
210063.351.7–76.2201.7175.1–231.8

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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