Burundi vs Senegal

Burundi vs Senegal: Tropical nights

Tropical nights in 2014: 28.5 nights in Burundi and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 273.6 nights, or 11 times that in Burundi.

nights a year · CMIP6

Burundi vs Senegal: Tropical nightsTropical nights in 2014: 28.5 nights in Burundi and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 273.6 nights, or 11 times that in Burundi.
BurundiSenegalCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Senegal 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 Senegal at 347.3 nights in 2100.

Every year

nights a year · CMIP6

YearBurundiSenegal
201428.5302.1
201328.4300.9
201228.8304.1
201128.9302.1
201027.9301.5
200927.9302.1
200827.8298.3
200727.6298.5
200627.7298.6
200527.5298.1
200427.6294.7
200327.6296.1
200227.6296
200127.7298.9
200027.3295
199927.1293.2
199827.1292.5
199727.2288.5
199626.9285.1
199526.8285.9
199426.5283.7
199326.2282
199226.1277.6
199127286.7
199026.8292.5
198926.7282.1
198826.6282.4
198726.6281.8
198626.7283
198526.3278.1
198426.4274.6
198326.4276.3
198226.5281.3
198126.8277.9
198026.4277.6
197926.6281
197826.3280.7
197726.5278
197626.4274.4
197526.3278.4
197426.3273.8
197326.3274.5
197226.2273.5
197126.1273.4
197026.1271.3
196926.1271.6
196826272.6
196725.8275.4
196625.9273.3
196526.1272.8
196425.7271.8
196325.7272.8
196226.2280.2
196126.4276.9
196026.5279.2
195926.2277.4
195826.2278.8
195726.1274.4
195626.1273.2
195526.2273.4
195426.2275
195326.3271.7
195226.2271
195126.2272.9
195026.2270.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiSenegal
201529.627–36298.9275.9–321
201628.826.7–32.5302.7276.5–319
20173027–33.7302.9285.4–318.6
201830.327.4–34.4305.6289.2–321.5
201929.727.4–33.7307.6280.6–328.1
202030.927.7–37.7305.2276.2–322.9
202130.627.8–37307.6286–325.6
202230.828.5–36.7312.9289.6–334.3
202330.528–36.7307.5292.2–328.6
202432.127.9–39313.2294.6–326.9
202531.527.1–38.7311.8289–329.4
202631.927.4–38.3308.3285.2–328.6
202731.427.9–37.9310.7287.8–330
202832.328.4–37.9316.3289.2–331.6
202933.229–38.9315.7291.2–334.2
203032.728.1–39.9311.5289.1–329.1
203133.930–40.9318.8296.3–335
203233.829.9–43.1316295.7–332.4
203334.129.6–43.1316.7289.6–336.4
203433.829.8–45.5315.4291.6–335.1
203535.228.9–43.2316.8291.1–335.3
203634.729.5–45.8320.8298.5–335.3
203736.830.3–48.2324.5303.1–337.7
203837.631.9–45.5323.5304.2–339.7
203936.929.5–47.7323.3300.9–337
20403630.7–49.3322.4298.9–339.5
204137.531.7–47.9320.2300.1–343.6
20423731.3–53.9320302.1–339.9
204336.829.7–48.4320.4303.7–340.4
204437.429.9–48.5326.9301.5–340.9
20453932–53.6324.1304.1–340
204642.631.9–57.3325.9304.7–340.6
204741.632.9–56.2329301.4–347
204843.232.5–57.9331.1314.3–344.8
204942.333.1–56.8331.3308.3–343.7
205043.331.4–55.8327.6306.5–341.9
205142.833–60328307.1–344
205244.333.2–62.1325.4308.1–344.2
205342.432.4–59.4331.8304.9–347.2
205444.532.8–68.5330.1310.8–345.2
205544.234.5–64.8330.1305.5–344
205644.132.4–63.2331.4307.4–349.8
205745.534.3–65.8337306.4–351.5
205848.132.4–69.9333313.2–350.2
205947.736.2–69.1334315.6–353.5
206049.734.6–73334.5316.4–351.1
206150.833.4–71.8333.7307.5–352.9
206249.534.2–78.1333.3312.4–350.2
206348.434.2–67.7335.4313.2–352.8
206452.134.6–70.5335.4307.1–351.1
206550.835.2–72.2334.8314.1–352.8
206651.336.5–72.8337.3312.9–351
206752.334.3–81.3335.5309.9–349.9
206851.335.2–81.5335.5313.5–354
206950.134–76336.1316.9–351.8
207050.835.4–83.9333.3312.9–352.9
207151.235.5–90.8335.7321.1–351.9
207253.338.9–80342.3321–354.6
207356.538.6–89339.4320.1–356.1
207453.736.7–82.1335.9317.1–351.8
207553.435–83338.4320.7–354.1
207658.636.5–90.7338.7321.9–352
207755.738.4–95.2342.8314.8–357.3
207855.938.6–89.1343325.8–355.4
207960.637.3–91.2341.2322.3–357.6
208061.638–89.4340.9317.7–358.1
208159.339.3–91.1339.8315.5–357.1
208261.139–95341.6316.4–354.9
208358.238.4–111.2340.8324.8–356.9
208465.239.6–104.5340.4322.8–354.9
208567.340.2–110.3346.8325.6–357
208661.340.8–104.5341.7324.4–357.6
208765.240.1–107.8343.9325.9–357.7
208866.340.9–101.4341.5321.6–358.2
208961.240.2–100.9343.2324.3–355.2
209059.540.9–115.5342320.6–356
209171.541.2–115.8341.7319.8–356.4
209264.742.1–120.7339.7318.4–357.7
209367.341.4–113.8345326.8–356.4
209467.342.1–115.2344.4324.3–357.6
209572.544.4–126.1346.3320.6–359.4
209665.841.2–122.9344.4323.1–359.2
209763.939.5–121.8341.4321.3–353.8
209868.640.3–128.1345322.3–357
209963.440.9–122.9344.6322.7–357.5
210067.441.2–126.5347.3323.6–359.2

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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