Burundi vs Guinea

Burundi vs Guinea: Tropical nights

Tropical nights in 2014: 28.5 nights in Burundi and 286.6 nights in Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 258.1 nights, or 10 times that in Burundi.

nights a year · CMIP6

Burundi vs Guinea: Tropical nightsTropical nights in 2014: 28.5 nights in Burundi and 286.6 nights in Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 258.1 nights, or 10 times that in Burundi.
BurundiGuineaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Guinea 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 Guinea at 345.3 nights in 2100.

Every year

nights a year · CMIP6

YearBurundiGuinea
201428.5286.6
201328.4285.3
201228.8292.9
201128.9288.8
201027.9285.2
200927.9282.5
200827.8279
200727.6278.9
200627.7278.8
200527.5278.9
200427.6276
200327.6279.6
200227.6277.1
200127.7279.8
200027.3273.1
199927.1267
199827.1268.4
199727.2266.6
199626.9260.4
199526.8260.3
199426.5255
199326.2246.6
199226.1242.4
199127264.3
199026.8266.4
198926.7259.7
198826.6256.9
198726.6258.4
198626.7259.9
198526.3252.6
198426.4249.6
198326.4248.4
198226.5250
198126.8253.5
198026.4251.2
197926.6251.2
197826.3252
197726.5250.4
197626.4244
197526.3242.3
197426.3247.2
197326.3249.3
197226.2246.1
197126.1244.5
197026.1249
196926.1241.2
196826241.5
196725.8233.3
196625.9237.7
196526.1239.8
196425.7231
196325.7225.8
196226.2246.9
196126.4246
196026.5250.5
195926.2244.8
195826.2245.6
195726.1247.5
195626.1242.4
195526.2243.5
195426.2250.2
195326.3241.2
195226.2240.3
195126.2248.8
195026.2240.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiGuinea
201529.627–36286.7259.9–308.5
201628.826.7–32.5288.9262.6–304
20173027–33.7291.6265.5–311.4
201830.327.4–34.4295.6269.3–311.8
201929.727.4–33.7291.8266.8–313.6
202030.927.7–37.7291.2265.6–315.4
202130.627.8–37295.8268–316.3
202230.828.5–36.7299.9277.9–322.4
202330.528–36.7296273.8–318
202432.127.9–39302.3276.9–322.8
202531.527.1–38.7298.9275.2–322.4
202631.927.4–38.3302.5269.3–323.9
202731.427.9–37.9302.6276.3–320.2
202832.328.4–37.9308.2285.4–325.8
202933.229–38.9309.3280.6–327.2
203032.728.1–39.9305.5277.4–322.4
203133.930–40.9313.2282.2–329.6
203233.829.9–43.1307.7287.3–329.5
203334.129.6–43.1310.4282.4–337.8
203433.829.8–45.5308281.7–327.4
203535.228.9–43.2311.2284.9–333
203634.729.5–45.8312.8285.7–334.5
203736.830.3–48.2315.5291.8–331.1
203837.631.9–45.5317.9296.3–333.9
203936.929.5–47.7314.1291.6–336
20403630.7–49.3316.1292.9–334.6
204137.531.7–47.9315.4296.5–335.7
20423731.3–53.9316290.7–336.6
204336.829.7–48.4314.8291.1–332.7
204437.429.9–48.5319.8289.7–337.5
20453932–53.6318.6296.4–339
204642.631.9–57.3321.4295.7–337
204741.632.9–56.2324.6297.9–342.8
204843.232.5–57.9324.8304.4–341.1
204942.333.1–56.8324.2302.4–340.2
205043.331.4–55.8322.4299.7–339.6
205142.833–60326.1300.4–342
205244.333.2–62.1324301.5–342.8
205342.432.4–59.4325.6298–345.3
205444.532.8–68.5329.5301.3–345.1
205544.234.5–64.8324.4305.3–342.4
205644.132.4–63.2329.6299.4–349.4
205745.534.3–65.8332.4301.5–351
205848.132.4–69.9328.8305.6–347.6
205947.736.2–69.1330.3310.8–350.5
206049.734.6–73328.3309.4–348.2
206150.833.4–71.8330.5304.6–352.8
206249.534.2–78.1327.7307.3–346.5
206348.434.2–67.7333.4311–349.1
206452.134.6–70.5330.9310.6–351.6
206550.835.2–72.2331.4309.7–350.6
206651.336.5–72.8331.8312.3–347.4
206752.334.3–81.3329.1304–348.6
206851.335.2–81.5335.4309.6–354.5
206950.134–76333.5313–351.4
207050.835.4–83.9331.7310.9–352.7
207151.235.5–90.8334.6315.6–352.4
207253.338.9–80338.3317–353.2
207356.538.6–89334309.7–351.6
207453.736.7–82.1330.2310.6–352
207553.435–83334312–352.2
207658.636.5–90.7338.4321.3–352.1
207755.738.4–95.2341.4318.4–355.6
207855.938.6–89.1338.1316.6–355.8
207960.637.3–91.2337.5318.8–355.3
208061.638–89.4339.8315.4–358
208159.339.3–91.1339.3318.2–356.6
208261.139–95337.9316.1–353.3
208358.238.4–111.2339.2320.8–355.8
208465.239.6–104.5340.5321–354.6
208567.340.2–110.3343.8319.9–358.1
208661.340.8–104.5342.2318.7–358.7
208765.240.1–107.8340.7319.9–357.6
208866.340.9–101.4341.2318.3–354.9
208961.240.2–100.9337.9318.6–354.8
209059.540.9–115.5341.1315–356
209171.541.2–115.8339.7319.7–355.5
209264.742.1–120.7339.7320.4–356.8
209367.341.4–113.8341.8325.1–356.2
209467.342.1–115.2342.2324–356.4
209572.544.4–126.1340.7323.5–359.3
209665.841.2–122.9343.2324–359.7
209763.939.5–121.8340.3313.8–353.8
209868.640.3–128.1339.9318.8–357
209963.440.9–122.9341.5324.6–355.9
210067.441.2–126.5345.3319.6–357.9

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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