Afghanistan vs Algeria

Afghanistan vs Algeria: Tropical nights

Tropical nights in 2014: 50.8 nights in Afghanistan and 147.8 nights in Algeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 97 nights, or 2.91 times that in Afghanistan.

nights a year · CMIP6

Afghanistan vs Algeria: Tropical nightsTropical nights in 2014: 50.8 nights in Afghanistan and 147.8 nights in Algeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 97 nights, or 2.91 times that in Afghanistan.
AfghanistanAlgeriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Algeria has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Afghanistan at 72.3 nights and Algeria at 177.5 nights in 2100.

Every year

nights a year · CMIP6

YearAfghanistanAlgeria
201450.8147.8
201350.6149.2
201250.1149.1
201149.9149.8
201048.2148.7
200948.9146.5
200848.8148.3
200748.3146.6
200648.7146.4
200548.1145.5
200447.9146
200347.2145
200249.4144.9
200147144.7
200047.9144
199947.9141.4
199846.8142.2
199746.8141.4
199645139.6
199544.4137.5
199444.6138
199342.4135.3
199242.5131.6
199145.1138.7
199045.5141.6
198945.5137.6
198844.3137.3
198744.5136.4
198644136.2
198543.5133.4
198443.4135.2
198340.5133.9
198243.1136.5
198143.8134.7
198043133.5
197944135
197843.1134.8
197741.5133.3
197641.6133.8
197541.4134
197441.6130
197341.7133.8
197242.1133.3
197140.8130.8
197041.6128.7
196941.3131.5
196840.8131.3
196741.5131
196641131
196541.1127.2
196441.3131.7
196341.8131
196241.8132.6
196142.6132.4
196042.1134.4
195941.8134.3
195843.3133.8
195742.2134.6
195642.3132.8
195541.4133.2
195442.5130.2
195341.8130.1
195242.9132.8
195141.5133.7
195042.8131.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAfghanistanAlgeria
201552.244.8–59.8149.7136.5–163.3
201652.545–59.7148.4136.2–163.8
201752.345.8–58.8155139.3–169.4
20185244.6–59.3154.4138.5–167.4
201953.345.9–60.7153.9139.9–167.9
202054.347.1–61.2152.8138.9–166.4
202153.746.7–61.4156.2142.9–168.2
202253.146.2–61.6157.3142.1–173.6
202355.646–62.7153.8139.7–166.7
20245647.3–64157.2145.1–170.4
202555.947.9–65156142.2–170
202654.945.9–64.5158145.8–170.5
202755.948.7–64.2157.9144.9–172
20285647.4–64159.1145.3–170.6
202954.747.9–62.5158.6145.9–171
203056.749.3–63.8157.3142.8–169.1
203158.650.2–65.4158.9145.5–174.1
203257.649.8–65.4162.1151.7–174.9
203357.749.1–65.5161.3144.7–173.9
203459.148.6–68.2161.5145.2–176.1
203560.251.4–67.7162.6149.6–177.8
203659.251.7–66.6161.7149.4–175.3
203759.751.1–70161.9147.5–176.4
20386051.9–67.2164148–178
203958.651.3–66163.4147.7–179.3
204059.651.8–68163.8149.7–179
20415951.1–68162.1147.9–175.2
204260.752.4–69.9165.2151.6–180.4
204359.351.2–68.5163.7150.7–174.1
204460.752.6–69.8164.1150.7–177.7
204561.152.7–69.7166.3153.8–177.7
204661.452.3–71.6165.5151.5–178.8
204762.553.6–71.5166.9151.1–182.8
204863.354.7–72.3166.9154.5–180.8
204962.253.1–71.9166.2153.1–178.7
205063.754.4–73.1168.1152.8–180.9
205162.853.2–73.2166.4152.8–181.4
205264.254.7–73.4167.9155.5–185.3
205363.354.9–71.6167.8153.5–183
205464.355.6–73.4169.9154.7–184.1
205564.956.7–73.7171.2156.6–185
205664.155.8–73.4169.6154.7–185
205765.555.1–75.6169.5154.9–186.3
205865.256.7–74.7168.8154.9–187.6
205964.556.1–73.6171157–188.4
206066.855.9–75.6171.7156.6–186.7
206165.857.4–73.2174160.5–186.9
206266.856.9–77.4170154.4–189.1
206367.359.1–76.6173.1158.9–187.6
206466.357.6–76.7171.3156.5–187.5
206567.457.8–78.5172.4158.1–185.8
20666859.4–77.9172.7157.8–189.5
206769.258.5–79.9173.3158.5–188
20686858.5–77.7174.6157.3–191.3
206968.560.5–78.3174.7158.7–188.1
20706859.6–78.7173.3159.4–186.8
207168.458.2–78.9173.9159.5–192.1
207268.558.7–79.3176.4160–191
207369.960.2–80.9175.3160.4–192.4
207469.260.9–79.3176.7157.1–191.8
207568.459.6–81.4174.3158.7–193.2
207669.457.9–81176.3161.3–192.1
207770.158.3–80.8175.9160.3–194
207867.958.5–82.4180164.9–191.9
207968.757.9–81.2178157.2–194.5
208069.459.3–82178160.3–192.5
208169.158.1–81.3175.3161.2–192.8
208270.960.1–83177.2160.2–192.3
208370.960.3–82.8178.5161.1–195.6
208471.760.2–82.3180.1164.6–192.9
208570.260.1–85.4179.6159.9–197.5
208669.660.3–82.9179.8163.9–196.8
208771.362.8–84.1179160.6–195.3
208871.660.7–85.2179.3163.3–198.8
208972.361.4–83.9178.9163.6–197.4
20907160.2–83.4180.5161.9–196.8
209172.261.1–83.3179.6164.9–197.5
209272.261.6–83.3181.6164.7–195.6
209372.562.6–83.5181.1162.6–199.4
209472.962.2–85.3180.6164.4–193.7
209573.761.1–84.3181.1164.5–195.8
209673.362.9–85.7180.7165.8–199.4
209770.960.6–84.3178.3162.2–193.1
209873.562.2–87.3180.4164.5–198.3
209972.761–84.1182165.3–199.3
210072.360.5–87.4177.5163.3–199.1

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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