Burundi vs Somalia

Burundi vs Somalia: Tropical nights

Tropical nights in 2014: 28.5 nights in Burundi and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 266.7 nights, or 10 times that in Burundi.

nights a year · CMIP6

Burundi vs Somalia: Tropical nightsTropical nights in 2014: 28.5 nights in Burundi and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 266.7 nights, or 10 times that in Burundi.
BurundiSomaliaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Somalia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Burundi at 67.4 nights and Somalia at 328.2 nights in 2100.

Every year

nights a year · CMIP6

YearBurundiSomalia
201428.5295.2
201328.4296.8
201228.8296.7
201128.9297.1
201027.9294.6
200927.9293.5
200827.8292.2
200727.6293.3
200627.7292.4
200527.5292.3
200427.6293.8
200327.6293.5
200227.6292.1
200127.7292.4
200027.3290.2
199927.1288.6
199827.1289.9
199727.2288.8
199626.9285
199526.8285.2
199426.5284.2
199326.2280.2
199226.1278.1
199127286.6
199026.8288.5
198926.7285.1
198826.6285.6
198726.6282.5
198626.7283.4
198526.3279.6
198426.4281.4
198326.4277.1
198226.5283.7
198126.8282.5
198026.4280
197926.6280.4
197826.3280.5
197726.5282.9
197626.4278.7
197526.3276.8
197426.3279.3
197326.3280.8
197226.2278.3
197126.1278.2
197026.1278.3
196926.1276.8
196826276.3
196725.8274.3
196625.9275.9
196526.1275.2
196425.7275.1
196325.7272.9
196226.2277.9
196126.4280.3
196026.5280.8
195926.2278.8
195826.2280.9
195726.1280.3
195626.1276.1
195526.2280.1
195426.2278.2
195326.3277.2
195226.2279.4
195126.2279
195026.2278.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiSomalia
201529.627–36299.3283.7–311
201628.826.7–32.5296.8282.3–308.3
20173027–33.7299.6284.6–310.1
201830.327.4–34.4301.3287.9–310.2
201929.727.4–33.7299.1286.1–311.9
202030.927.7–37.7299.4285.3–310.3
202130.627.8–37302.4289.1–313.6
202230.828.5–36.7304.5289.7–314.6
202330.528–36.7304.1290.6–312.4
202432.127.9–39303.4290.1–317
202531.527.1–38.7303.1288.8–317.8
202631.927.4–38.3303.2288.7–315.4
202731.427.9–37.9303.8287.7–314.9
202832.328.4–37.9305.4291.3–316.8
202933.229–38.9307.8294–317.8
203032.728.1–39.9304.5289.6–314.9
203133.930–40.9307.4292.3–317.9
203233.829.9–43.1308.3292.4–319.6
203334.129.6–43.1307.2292–317.6
203433.829.8–45.5305.9292.3–321.2
203535.228.9–43.2308.7293.4–321.1
203634.729.5–45.8307.5295.4–317.7
203736.830.3–48.2310.1298.4–319.9
203837.631.9–45.5311.1296.4–323.2
203936.929.5–47.7308.6295.9–321.9
20403630.7–49.3311.7295.9–324.2
204137.531.7–47.9312296.6–321.5
20423731.3–53.9311.7295–325.7
204336.829.7–48.4312298–323.1
204437.429.9–48.5311.4297.3–323
20453932–53.6312.3298.6–323
204642.631.9–57.3314.4299–327.7
204741.632.9–56.2315.8300.2–327.9
204843.232.5–57.9316.9302.8–327.5
204942.333.1–56.8314.9303.2–325.2
205043.331.4–55.8315.9300.6–324.5
205142.833–60314.9301.9–326.9
205244.333.2–62.1316.2301.6–329
205342.432.4–59.4314.8302.3–326.8
205444.532.8–68.5316.2301.5–330.1
205544.234.5–64.8317.4302.7–327.8
205644.132.4–63.2316.5302.9–332.3
205745.534.3–65.8316.8302.5–329.8
205848.132.4–69.9316.9300.7–330.9
205947.736.2–69.1320.8305.2–332.5
206049.734.6–73321.3305.7–331.9
206150.833.4–71.8317.8304.8–330.3
206249.534.2–78.1319.6304.3–336
206348.434.2–67.7320.9305.3–332
206452.134.6–70.5319.7306.8–330.5
206550.835.2–72.2318.3304.6–334.6
206651.336.5–72.8321307.9–333.9
206752.334.3–81.3320.5304.3–334.4
206851.335.2–81.5321.7305.6–336.3
206950.134–76322.3308.6–335.4
207050.835.4–83.9321.1305.3–335.6
207151.235.5–90.8324.5308.4–336.9
207253.338.9–80324.1308.2–334.1
207356.538.6–89323.7308.1–337.9
207453.736.7–82.1322306–334.6
207553.435–83323.6307.6–336.4
207658.636.5–90.7323.6309–333.3
207755.738.4–95.2324.2309.6–335.9
207855.938.6–89.1324.7310.1–333.7
207960.637.3–91.2323.2307.6–336.3
208061.638–89.4324.7310.6–337.8
208159.339.3–91.1323.2311.1–335.3
208261.139–95324.3309.4–336.4
208358.238.4–111.2323.6308.3–342.4
208465.239.6–104.5326.2309.4–337.5
208567.340.2–110.3327.7311.9–339.4
208661.340.8–104.5326.6311.1–340.2
208765.240.1–107.8327.3311.5–339.1
208866.340.9–101.4328.6308.2–341.6
208961.240.2–100.9326.7312–340.2
209059.540.9–115.5326.5311.7–339.5
209171.541.2–115.8328.6311.5–340.9
209264.742.1–120.7329.1312.2–341.8
209367.341.4–113.8327.3312.1–342.8
209467.342.1–115.2325.6312–336.2
209572.544.4–126.1329314–341.2
209665.841.2–122.9327.9311.6–341.9
209763.939.5–121.8325.6311–340
209868.640.3–128.1327.7311.4–341.1
209963.440.9–122.9327.3311.9–339.3
210067.441.2–126.5328.2313.4–341.2

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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