Argentina vs Kenya

Argentina vs Kenya: Tropical nights

Tropical nights in 2014: 42.6 nights in Argentina and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 203 nights, or 5.76 times that in Argentina.

nights a year · CMIP6

Argentina vs Kenya: Tropical nightsTropical nights in 2014: 42.6 nights in Argentina and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 203 nights, or 5.76 times that in Argentina.
ArgentinaKenyaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kenya 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 Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearArgentinaKenya
201442.6245.6
201341.8245.4
201241244.7
201141.5245
201040.8243.8
200941.6242.3
200841.4240.3
200739.6240.9
200639.3241.5
200540.1241.2
200440.6241.8
200338.7240.8
200240.2240.7
200139.5242
200039.5239.5
199938.4237.8
199838.8239.2
199738.5236.9
199637234.2
199535.7232.9
199434.7231.9
199334.3227.4
199233.4224.8
199136.8233.8
199036236.4
198937234.5
198836.9233.1
198736.1232.6
198636.4233
198536228.7
198434.7230.2
198335.2226.7
198235.7230.6
198137.3232.9
198036.3231.3
197937.5229.6
197835.7228.7
197735.1229.9
197635.7227.8
197534.8225.9
197435.4230.5
197334.1230.4
197235.5228.7
197134.7226
197034.9226.3
196933.4225.9
196834.6222.9
196733224
196634.3225.2
196532.2224.2
196430.3221.8
196332220.2
196235.2227.2
196135.6228.3
196035.6228.8
195934.5228.3
195833.3229.1
195735.7228
195635225.5
195534.4228.7
195433.6227.4
195335.8227.6
195234.4228.5
195135.4228.3
195033.9226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaKenya
201544.433.5–53.4246.9232.3–256.1
201643.532.4–53.4244.9230.1–255
201742.834.2–52.6248.1233.1–257.7
201842.632.7–52.6248.7237–257.4
201943.633.4–53.1247.1234.8–256.7
202045.735.5–57.2248.6233.2–259.2
202145.634.3–56.4249.5236.3–258.1
202244.633.3–56.4251.5239.7–259.5
202344.934.9–53.9251.8239–260.8
202445.834.2–57.5254.2239.1–263
202546.536–58.1251.5238.1–261.8
202647.936.7–57252.2237.2–263.3
202746.434.5–56.3252.8238.4–263.8
202846.133.5–58.5254.9241.9–264.2
202948.336–58.8256243.4–264.6
203047.835.4–60.3253.6240.6–263.1
203146.935.5–58.7256244.7–264.4
20324837.9–59.7257243.8–267.1
203347.436.7–57.6256241.8–265.9
203447.837.8–58.9256.2241.2–267.9
203547.339–59256.7243.3–266.7
203648.939.2–58.4256.2242.4–266.7
20375141.2–60.9258.7245.9–268.4
203848.737.9–59.7260.3244.5–268.9
203948.839.1–58.4259244.4–268
204050.440.4–62.3258.3246.2–269.8
204150.740.4–61.7260.7244.8–271.2
20425037.3–61.1260.3246.5–272.7
204350.340.5–61259246.6–270.5
20445240–65261.2248.8–270.9
204552.441.3–65.6261.8248.7–272.9
204651.941.2–62.7264.8249.6–275.3
204751.542–64264.4249.8–275.3
204854.542.6–65264.2252.3–274.9
204953.942.8–64.9265.2252.8–275.6
205052.543.6–62.4263.9249.8–275.1
205155.743.3–67.4265.4252.1–275.1
205255.642.2–67266.3252.6–276.2
205355.342.6–67.6265.2251–275.4
205454.743–66.7265.2250.2–277.2
205555.942.3–67.2266.8251.6–277.6
205657.642.8–68.6266.2251.2–277.8
205756.842.3–68.7266.8253–278
205854.841.5–68.1266.7251.5–277.9
205957.844.9–70.3269.8254.7–280.5
206056.943.4–67.9271.1253.9–280.7
206156.542.3–70.6267.5253.9–281.7
206257.345.8–68.5268.1254–281.2
206358.244.6–70.2268.9255–280.1
206458.845.8–71.5270254.1–279.8
206558.746–71.1269.4255.8–282.3
206659.947–68.9270.6258.1–281
206758.944.8–71.5270.7256.1–283
206857.844.3–70.3270.2256–283
206959.445.4–70.5269.8256.1–283.3
207061.348.2–74.3270.1255.8–282.6
207160.148.7–73.2271.9257.9–284.4
207260.146.7–73.7273.5260.3–283.8
207360.847.6–73.5273.1259.9–285.4
207460.447.6–73.7271.9257.5–285.4
207561.347.9–73.9271.1256.5–284.7
207661.146.8–75.8274.1258.6–285.8
207760.647.1–73.1273.4259–286.6
207863.449.4–75.6273.1260–284.4
207959.948.7–73273.3258.7–286.6
20806348.1–75.5275.5259.4–286.9
208161.448.7–73.5274.7259.8–285.6
208261.747.7–75274.8261.3–286.4
208362.148.2–75.6274259.6–289.3
208462.950.3–76276.8259–288.8
20856246.9–76.4276.2261.5–289.1
208662.749.4–76.4275.1260–289.1
208761.847.9–74.9276.2260.3–288.5
208864.450.8–77.5276.8261.6–289.7
208962.749.3–76.3275.9260.3–288.8
209064.152.5–77.1275.3260.5–290.5
209164.451.7–78.3277.7260.4–290.9
209265.650.8–78.3276.2261.2–290.7
209362.749.7–76.8276.9262–290.1
209463.950.1–78.5277262.8–288.9
209562.948.8–77.9278.4262.3–290.4
209664.749.4–78.9277.6260.5–292
209764.552.4–80.1277261–290.2
209865.652.7–78.7277.6262.3–291.5
209965.249.3–80.2277.9260.8–292.4
210065.250–81.7277261.8–290.4

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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