Rwanda vs Somalia

Rwanda vs Somalia: Tropical nights

Tropical nights in 2014: 2.4 nights in Rwanda and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 292.8 nights, or 130 times that in Rwanda.

nights a year · CMIP6

Rwanda vs Somalia: Tropical nightsTropical nights in 2014: 2.4 nights in Rwanda and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 292.8 nights, or 130 times that in Rwanda.
RwandaSomaliaCMIP6 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 Rwanda at 34.2 nights and Somalia at 328.2 nights in 2100.

Every year

nights a year · CMIP6

YearRwandaSomalia
20142.4295.2
20132.8296.8
20122.9296.7
20112.7297.1
20102.3294.6
20092.5293.5
20082292.2
20071.9293.3
20062.2292.4
20052292.3
20041.8293.8
20031.8293.5
20022.4292.1
20012.4292.4
20001.7290.2
19991.6288.6
19981.5289.9
19971288.8
19961.1285
19951.1285.2
19941.2284.2
19930.9280.2
19920.6278.1
19911.2286.6
19901.7288.5
19891.5285.1
19881.2285.6
19871.3282.5
19861.2283.4
19850.8279.6
19841281.4
19830.9277.1
19820.8283.7
19811.1282.5
19801.1280
19790.9280.4
19780.7280.5
19771.1282.9
19760.8278.7
19751276.8
19740.9279.3
19731.3280.8
19720.7278.3
19710.7278.2
19700.6278.3
19690.8276.8
19680.8276.3
19670.5274.3
19660.6275.9
19650.6275.2
19640.4275.1
19630.6272.9
19620.9277.9
19610.8280.3
19601.1280.8
19590.7278.8
19580.9280.9
19570.8280.3
19560.7276.1
19550.8280.1
19540.9278.2
19530.8277.2
19520.8279.4
19511279
19500.9278.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearRwandaSomalia
20153.41.5–7.6299.3283.7–311
20162.91.2–5.6296.8282.3–308.3
20173.41.8–5.5299.6284.6–310.1
20183.81.8–7.1301.3287.9–310.2
20193.61.3–6.9299.1286.1–311.9
20204.32.1–7.9299.4285.3–310.3
20214.22.6–7.5302.4289.1–313.6
202242.9–7.8304.5289.7–314.6
20234.41.9–8.4304.1290.6–312.4
202452–9.6303.4290.1–317
20254.42.1–9.5303.1288.8–317.8
20264.81.7–8.9303.2288.7–315.4
20274.92.1–8.7303.8287.7–314.9
20285.21.7–8.7305.4291.3–316.8
20295.43–9.2307.8294–317.8
20305.33.1–10.2304.5289.6–314.9
20316.63.4–10.4307.4292.3–317.9
20326.34–12.2308.3292.4–319.6
20336.52.8–12307.2292–317.6
20346.13.3–12.4305.9292.3–321.2
20356.83.2–12.7308.7293.4–321.1
20366.83.7–12.7307.5295.4–317.7
20377.94.3–14.6310.1298.4–319.9
20388.44.1–15.3311.1296.4–323.2
20397.23.6–15.9308.6295.9–321.9
20407.74.3–14.8311.7295.9–324.2
20418.44.7–15312296.6–321.5
20428.44.4–20.2311.7295–325.7
20437.83.8–16.5312298–323.1
20447.24.1–14.5311.4297.3–323
20459.24.6–21312.3298.6–323
2046124.6–24.1314.4299–327.7
204711.25.4–26315.8300.2–327.9
204811.74.6–25.4316.9302.8–327.5
204912.25.7–26.7314.9303.2–325.2
205011.75.4–22.9315.9300.6–324.5
205112.36.4–24314.9301.9–326.9
205214.56–26.1316.2301.6–329
205312.55–23.9314.8302.3–326.8
205412.85.6–34.3316.2301.5–330.1
205512.66.2–32.8317.4302.7–327.8
2056145.6–31.6316.5302.9–332.3
205714.96–32.3316.8302.5–329.8
205815.15.3–38.7316.9300.7–330.9
205914.96.7–38.1320.8305.2–332.5
206018.46.1–38.2321.3305.7–331.9
206116.65.9–40.7317.8304.8–330.3
206217.25.6–49.3319.6304.3–336
206316.46.3–39.1320.9305.3–332
206421.76.3–40.1319.7306.8–330.5
206517.17.2–40.5318.3304.6–334.6
206618.37.2–42.5321307.9–333.9
206716.86.3–50.2320.5304.3–334.4
206819.76.6–53.2321.7305.6–336.3
206917.66–55322.3308.6–335.4
207018.17.6–53.8321.1305.3–335.6
207119.36.3–60324.5308.4–336.9
207222.18.7–49.3324.1308.2–334.1
207324.39.2–61.7323.7308.1–337.9
207423.28.3–57.2322306–334.6
207521.86.3–53.9323.6307.6–336.4
207626.77–59.7323.6309–333.3
207724.19.1–64.8324.2309.6–335.9
207821.48.3–62.1324.7310.1–333.7
207926.47.8–64.8323.2307.6–336.3
208028.78.2–62.2324.7310.6–337.8
208125.79–66.4323.2311.1–335.3
208227.59.2–63.2324.3309.4–336.4
208331.68.7–87323.6308.3–342.4
208431.39.4–78.4326.2309.4–337.5
208535.29.2–79.6327.7311.9–339.4
2086299.7–76.5326.6311.1–340.2
208730.69.5–80327.3311.5–339.1
208832.59.4–76.8328.6308.2–341.6
208927.49.3–82.1326.7312–340.2
209025.911.4–96.6326.5311.7–339.5
209143.28.7–89.1328.6311.5–340.9
209233.910.5–89.6329.1312.2–341.8
209335.510.9–91327.3312.1–342.8
209434.79.4–91.6325.6312–336.2
209540.412.9–106.1329314–341.2
209635.99.8–99.9327.9311.6–341.9
209732.69.9–89.6325.6311–340
209835.69.8–105.9327.7311.4–341.1
209932.810.9–105.8327.3311.9–339.3
210034.211.1–102.5328.2313.4–341.2

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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