Argentina vs Cuba

Argentina vs Cuba: Tropical nights

Tropical nights in 2014: 42.6 nights in Argentina and 309.7 nights in Cuba, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 267.1 nights, or 7.26 times that in Argentina.

nights a year · CMIP6

Argentina vs Cuba: Tropical nightsTropical nights in 2014: 42.6 nights in Argentina and 309.7 nights in Cuba, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 267.1 nights, or 7.26 times that in Argentina.
ArgentinaCubaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cuba 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 Cuba at 346 nights in 2100.

Every year

nights a year · CMIP6

YearArgentinaCuba
201442.6309.7
201341.8315.2
201241312
201141.5312.1
201040.8313
200941.6308.8
200841.4309.3
200739.6308.5
200639.3309.9
200540.1309.1
200440.6309.3
200338.7304.6
200240.2310.4
200139.5304.8
200039.5308.1
199938.4304.4
199838.8304.9
199738.5299.8
199637298
199535.7295.1
199434.7297.3
199334.3294.5
199233.4295.7
199136.8299.1
199036302
198937298.1
198836.9298.3
198736.1294
198636.4293.6
198536297.4
198434.7289.4
198335.2292.2
198235.7294
198137.3293.6
198036.3295.8
197937.5295.1
197835.7290.9
197735.1289.3
197635.7293.4
197534.8289
197435.4291.6
197334.1291.2
197235.5289.4
197134.7286.5
197034.9283.3
196933.4287.2
196834.6290.6
196733289.9
196634.3290.7
196532.2284.8
196430.3287.7
196332288.9
196235.2292.9
196135.6292.2
196035.6293.3
195934.5292.7
195833.3291.6
195735.7292
195635294.6
195534.4293.4
195433.6289.5
195335.8289.2
195234.4290.9
195135.4292.1
195033.9292.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaCuba
201544.433.5–53.4315.1292.1–332.6
201643.532.4–53.4317.9302.7–334.8
201742.834.2–52.6317304–329.5
201842.632.7–52.6319.5301–334.2
201943.633.4–53.1317.6297.3–336.1
202045.735.5–57.2319.5296.6–334.3
202145.634.3–56.4320.6301.8–335.1
202244.633.3–56.4318.2303.4–331.8
202344.934.9–53.9322.4302.9–336.9
202445.834.2–57.5320.1297.1–341.5
202546.536–58.1319.6297.1–334.8
202647.936.7–57327.3300.6–343.1
202746.434.5–56.3328.7307.3–344.9
202846.133.5–58.5327.5306.8–343.5
202948.336–58.8326.5309–340.3
203047.835.4–60.3328.8305–342.3
203146.935.5–58.7328.6308.6–343.5
20324837.9–59.7332.1308.4–344.7
203347.436.7–57.6328.3305.5–342.9
203447.837.8–58.9329.4308.9–346.2
203547.339–59325.7307.3–342.4
203648.939.2–58.4329307–341.7
20375141.2–60.9332.6311.4–346.9
203848.737.9–59.7331.4313–345.1
203948.839.1–58.4328305.6–345.9
204050.440.4–62.3328.8309–347.6
204150.740.4–61.7331.4307.4–344.3
20425037.3–61.1331.6309.6–345.1
204350.340.5–61332.1311–348.9
20445240–65335.1315.6–348.6
204552.441.3–65.6336.3317.6–348.6
204651.941.2–62.7328.7309–349.2
204751.542–64334.4316.3–350.1
204854.542.6–65335.2316.3–349.1
204953.942.8–64.9339.5317–350.8
205052.543.6–62.4338.7316.7–350.6
205155.743.3–67.4337.4313.8–349.8
205255.642.2–67331311.8–349.4
205355.342.6–67.6339.5314.6–351.2
205454.743–66.7338.4322.5–348.7
205555.942.3–67.2336.9318.7–350.1
205657.642.8–68.6338.1320.4–351.5
205756.842.3–68.7340.6316.7–351.1
205854.841.5–68.1340.8322.3–351.7
205957.844.9–70.3334.6319.6–349.6
206056.943.4–67.9340.7320.6–352.9
206156.542.3–70.6337.9324.8–351.5
206257.345.8–68.5340.1323.4–351
206358.244.6–70.2340.9316.3–354.4
206458.845.8–71.5341315.6–353.1
206558.746–71.1340.3319.5–352
206659.947–68.9339.5319.3–352.1
206758.944.8–71.5342.1324.2–351.9
206857.844.3–70.3344.3320.4–354.8
206959.445.4–70.5342.8323.8–355.6
207061.348.2–74.3344.4322.1–356.2
207160.148.7–73.2345326.4–354.8
207260.146.7–73.7345318.5–356.3
207360.847.6–73.5343.1321.4–355.1
207460.447.6–73.7342.9325.4–354.5
207561.347.9–73.9341.8319.7–353.7
207661.146.8–75.8344.9323.6–356.2
207760.647.1–73.1342320.4–351.9
207863.449.4–75.6345324.3–355.7
207959.948.7–73343.3323.8–356
20806348.1–75.5344.9328.1–358.4
208161.448.7–73.5342.7326–353.6
208261.747.7–75344.9329.8–355.4
208362.148.2–75.6343.8321.8–354.5
208462.950.3–76344328.8–356.5
20856246.9–76.4346.4322.1–356.6
208662.749.4–76.4342.6316.5–352.9
208761.847.9–74.9345.5325.6–356.7
208864.450.8–77.5346.5325.1–358.5
208962.749.3–76.3347.8327.2–357.7
209064.152.5–77.1346.9334.4–356.8
209164.451.7–78.3346.9330.1–357.1
209265.650.8–78.3346.6327–356
209362.749.7–76.8345.4326.9–356.3
209463.950.1–78.5347326.3–357.7
209562.948.8–77.9343.9329.1–355.1
209664.749.4–78.9344326.6–356.1
209764.552.4–80.1346.7329.2–355.1
209865.652.7–78.7347.2326.3–356.6
209965.249.3–80.2345.5327.5–357.7
210065.250–81.7346329.4–356.1

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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