Burundi vs Malawi

Burundi vs Malawi: Tropical nights

Tropical nights in 2014: 28.5 nights in Burundi and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malawi, by 109.6 nights, or 4.84 times that in Burundi.

nights a year · CMIP6

Burundi vs Malawi: Tropical nightsTropical nights in 2014: 28.5 nights in Burundi and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malawi, by 109.6 nights, or 4.84 times that in Burundi.
BurundiMalawiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malawi 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 Malawi at 213.3 nights in 2100.

Every year

nights a year · CMIP6

YearBurundiMalawi
201428.5138.1
201328.4138.9
201228.8137.4
201128.9136.6
201027.9132.4
200927.9131.4
200827.8130.8
200727.6132.8
200627.7129.8
200527.5129.5
200427.6133.4
200327.6132.5
200227.6130.3
200127.7134
200027.3126.6
199927.1124.8
199827.1127.1
199727.2124.2
199626.9121.3
199526.8120.9
199426.5118.4
199326.2113.8
199226.1114.1
199127120.9
199026.8123.8
198926.7120.5
198826.6120.8
198726.6118.8
198626.7121.1
198526.3115.7
198426.4116.2
198326.4115.5
198226.5115.1
198126.8119
198026.4116.9
197926.6117.7
197826.3114.8
197726.5117.2
197626.4114
197526.3114
197426.3115.2
197326.3114.7
197226.2113.8
197126.1114.1
197026.1115.8
196926.1114.3
196826110
196725.8109.8
196625.9111
196526.1111.5
196425.7106.3
196325.7107.5
196226.2114.7
196126.4116
196026.5117.4
195926.2115.6
195826.2116.4
195726.1114.6
195626.1111.4
195526.2115.2
195426.2113.9
195326.3113
195226.2113.5
195126.2113.5
195026.2112.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiMalawi
201529.627–36145.7126.7–164.3
201628.826.7–32.5139.8122.6–157.4
20173027–33.7143.6127–161.8
201830.327.4–34.4143.1124.6–162.6
201929.727.4–33.7143.8128.3–161.4
202030.927.7–37.7145127.3–165.8
202130.627.8–37145.3128–163.6
202230.828.5–36.7151130.1–169.1
202330.528–36.7149.2129.5–171.2
202432.127.9–39152.4130–172.6
202531.527.1–38.7151.1129.7–170.4
202631.927.4–38.3151.1126.2–173.8
202731.427.9–37.9154.4135.1–173.1
202832.328.4–37.9155.5134.6–174
202933.229–38.9159.8139.2–178.5
203032.728.1–39.9155.6138.7–174.5
203133.930–40.9161.1143.4–177.6
203233.829.9–43.1160.8141.3–181.3
203334.129.6–43.1161.3135.6–179.2
203433.829.8–45.5160.9138.9–185
203535.228.9–43.2164.3140.4–189.5
203634.729.5–45.8163.8137.6–182.5
203736.830.3–48.2166.9144.6–189.2
203837.631.9–45.5172.2148.4–191.2
203936.929.5–47.7164.8147.3–188.2
20403630.7–49.3164.4146.4–189.7
204137.531.7–47.9169.3143.7–192.5
20423731.3–53.9169.8146.3–197.8
204336.829.7–48.4167.5147.1–193.2
204437.429.9–48.5172.6148.3–197
20453932–53.6170.4153.1–194.7
204642.631.9–57.3176.3151.2–203.1
204741.632.9–56.2178.7157.8–200.9
204843.232.5–57.9180.7158.9–204.1
204942.333.1–56.8176.7154–205.4
205043.331.4–55.8180.4155.2–204.9
205142.833–60182.9162.1–207.4
205244.333.2–62.1184.9163.2–209.6
205342.432.4–59.4177.2149.6–207.4
205444.532.8–68.5185.1157.1–208
205544.234.5–64.8186.1159.2–212.6
205644.132.4–63.2184.6158.5–214.3
205745.534.3–65.8184.7159.3–212.3
205848.132.4–69.9188.5163.8–214.7
205947.736.2–69.1189.8166.9–218.5
206049.734.6–73192.6163.4–218.1
206150.833.4–71.8186.4158.8–216.8
206249.534.2–78.1192.3163.9–218.6
206348.434.2–67.7189.2165.2–220.3
206452.134.6–70.5197161.3–218
206550.835.2–72.2193.1165.8–225.2
206651.336.5–72.8201170.1–224.7
206752.334.3–81.3193.1164.2–223.7
206851.335.2–81.5198.6163.7–227.1
206950.134–76199.4165.8–225
207050.835.4–83.9198.7168–226.7
207151.235.5–90.8199.3167.9–233.5
207253.338.9–80202.3173.2–226.2
207356.538.6–89205.4168.2–233.4
207453.736.7–82.1198.2175.4–227.7
207553.435–83199.6168.9–228.3
207658.636.5–90.7198.8169.8–225.2
207755.738.4–95.2202172.2–231.2
207855.938.6–89.1203.5175.8–232.1
207960.637.3–91.2203.6172.2–236.1
208061.638–89.4204.7172.2–234.3
208159.339.3–91.1202.2174.9–231.3
208261.139–95204.3178.3–228.6
208358.238.4–111.2205.8170.7–238.3
208465.239.6–104.5208.1175.9–235.6
208567.340.2–110.3211.1179.4–241
208661.340.8–104.5203.3175.4–237
208765.240.1–107.8205.3181.2–237.7
208866.340.9–101.4211.6174.7–240.6
208961.240.2–100.9208.9180.5–237.8
209059.540.9–115.5209.4173.4–243
209171.541.2–115.8214.3179.7–244.8
209264.742.1–120.7213.2176.8–242.3
209367.341.4–113.8212.5177.8–242.2
209467.342.1–115.2211.8179.7–241.5
209572.544.4–126.1216.9185–243.8
209665.841.2–122.9213.1182–247.6
209763.939.5–121.8210.8174.9–242.1
209868.640.3–128.1214.4181.5–242.2
209963.440.9–122.9213.5181.9–244.1
210067.441.2–126.5213.3181.5–246.3

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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