Burundi vs Ethiopia

Burundi vs Ethiopia: Tropical nights

Tropical nights in 2014: 28.5 nights in Burundi and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 116.4 nights, or 5.08 times that in Burundi.

nights a year · CMIP6

Burundi vs Ethiopia: Tropical nightsTropical nights in 2014: 28.5 nights in Burundi and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 116.4 nights, or 5.08 times that in Burundi.
BurundiEthiopiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ethiopia 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 Ethiopia at 201.7 nights in 2100.

Every year

nights a year · CMIP6

YearBurundiEthiopia
201428.5144.9
201328.4145.1
201228.8144.4
201128.9145.6
201027.9142.4
200927.9140.3
200827.8137.1
200727.6138.2
200627.7138.7
200527.5138.1
200427.6139.1
200327.6138.8
200227.6137.4
200127.7139.2
200027.3135.5
199927.1132.6
199827.1132.9
199727.2132.7
199626.9129.7
199526.8127.8
199426.5126.3
199326.2122.5
199226.1119.7
199127129.5
199026.8132.7
198926.7129.4
198826.6128.2
198726.6126.4
198626.7128.1
198526.3122.8
198426.4124.8
198326.4120.6
198226.5126.3
198126.8127
198026.4124.9
197926.6125.1
197826.3124.7
197726.5125.8
197626.4122
197526.3119.5
197426.3124
197326.3125.2
197226.2122.3
197126.1120.6
197026.1121.3
196926.1120.4
196826119.1
196725.8118.1
196625.9119.5
196526.1117.4
196425.7116.6
196325.7115.7
196226.2121.6
196126.4124.2
196026.5124.5
195926.2121.6
195826.2124.1
195726.1123.2
195626.1120.9
195526.2122.8
195426.2121.6
195326.3121.2
195226.2122.8
195126.2123
195026.2122
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiEthiopia
201529.627–36146.6129.4–163.9
201628.826.7–32.5144.1127–160.6
20173027–33.7148.3129.2–164.9
201830.327.4–34.4149.6131.6–166
201929.727.4–33.7146.2129.3–166
202030.927.7–37.7149.4129.6–168.5
202130.627.8–37150.7132.1–170
202230.828.5–36.7154135.7–171.2
202330.528–36.7153.5135.4–171.4
202432.127.9–39156.5135.9–175.6
202531.527.1–38.7154132.6–175.5
202631.927.4–38.3153132–175
202731.427.9–37.9154.2134.4–175.3
202832.328.4–37.9157.5138.3–177.4
202933.229–38.9159.2141.8–176.8
203032.728.1–39.9156.8136.3–175.7
203133.930–40.9161.4142.4–179.1
203233.829.9–43.1161.7143.1–182.5
203334.129.6–43.1161.8140–180.9
203433.829.8–45.5158.8141.5–184.3
203535.228.9–43.2162141.7–184.2
203634.729.5–45.8160.5143.6–179.4
203736.830.3–48.2165145.8–184.5
203837.631.9–45.5167.1146.5–186.7
203936.929.5–47.7164.5143.9–186
20403630.7–49.3165.9146.2–190.1
204137.531.7–47.9167.9146.3–189.3
20423731.3–53.9167.7146–194.3
204336.829.7–48.4167.3145.5–190.8
204437.429.9–48.5168.2148.2–189.9
20453932–53.6170.7149.1–192.3
204642.631.9–57.3175.3150–198.6
204741.632.9–56.2176.9151.8–197.5
204843.232.5–57.9177.5155.4–199.1
204942.333.1–56.8177.5157.9–198.4
205043.331.4–55.8176.4153.8–199
205142.833–60176.6155.3–199.7
205244.333.2–62.1177155.6–200.7
205342.432.4–59.4176.7154.2–201.6
205444.532.8–68.5177.6156.9–201.1
205544.234.5–64.8180.6155.2–202.3
205644.132.4–63.2177.3155–205.4
205745.534.3–65.8180.3159.3–205.5
205848.132.4–69.9182.6153.7–209.4
205947.736.2–69.1185.7160.1–210.6
206049.734.6–73185.9160.3–210.4
206150.833.4–71.8183.3158.3–211.7
206249.534.2–78.1183.8155.4–213
206348.434.2–67.7184.5159.1–208.6
206452.134.6–70.5186.7160.6–207.2
206550.835.2–72.2183.7162.4–212.9
206651.336.5–72.8187.1165.4–210.1
206752.334.3–81.3187.1160.7–214.5
206851.335.2–81.5187.6160.4–215.8
206950.134–76187.8165.4–215.8
207050.835.4–83.9187.9161.6–216.9
207151.235.5–90.8192.7165.2–219.5
207253.338.9–80193.6167.4–214.5
207356.538.6–89193.3169.7–218.7
207453.736.7–82.1188.5163.9–219
207553.435–83191.9162.7–218.6
207658.636.5–90.7195166.9–218.9
207755.738.4–95.2194.1169.3–223.3
207855.938.6–89.1192.1168.4–218.6
207960.637.3–91.2193.4166.6–220.9
208061.638–89.4196.1169.2–222.4
208159.339.3–91.1194.6171–221.4
208261.139–95195.4168.8–219.9
208358.238.4–111.2194.6168.2–228.7
208465.239.6–104.5198.5170.7–224.2
208567.340.2–110.3198.4173.1–226.3
208661.340.8–104.5198.6172.3–228.4
208765.240.1–107.8199170.6–226.6
208866.340.9–101.4199170.7–227.7
208961.240.2–100.9198.6171.2–226.2
209059.540.9–115.5198.6173.4–227.7
209171.541.2–115.8203.6171.9–232.1
209264.742.1–120.7200.7172.5–229.7
209367.341.4–113.8201.4175.2–228.6
209467.342.1–115.2200.2174–228.9
209572.544.4–126.1203.9175.7–231.9
209665.841.2–122.9199.1170.5–230.8
209763.939.5–121.8198.4171.8–229.3
209868.640.3–128.1198.7172.1–231.5
209963.440.9–122.9201.8172.8–233.3
210067.441.2–126.5201.7175.1–231.8

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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