布隆迪与马拉维对比

布隆迪与马拉维:热带夜

2014 年热带夜:布隆迪为 28.5 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年马拉维的数值较高,高出 109.6 夜,是布隆迪的 4.84 倍。

每年夜数 · CMIP6

布隆迪与马拉维:热带夜2014 年热带夜:布隆迪为 28.5 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年马拉维的数值较高,高出 109.6 夜,是布隆迪的 4.84 倍。
布隆迪马拉维CMIP6 模型中位数(SSP2-4.5,中间路径)模型第 10–90 百分位

数据解读

  • 自 1950 年以来,在两国都有数据的每一年,马拉维的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年布隆迪为 67.4 夜,马拉维为 213.3 夜。

逐年数据

每年夜数 · CMIP6

年份布隆迪马拉维
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 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份布隆迪马拉维
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

分别查看各国

须知

  • 一年中气温始终高于 20 °C 的夜晚数,取全国平均。
  • 来源:World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
  • 虚线为CMIP6 模型中位数(SSP2-4.5,中间路径),是一种情景而非预报;阴影带为其模型第 10–90 百分位。
  • 气候模型值为 CMIP6 各模型的中位数:2014 年及以前按历史排放模拟,此后按中间路径 SSP2-4.5 模拟;它们并非实测数据。

各图层如何运作、数据从何而来,以及它们无法告诉你什么: 历年各国数据

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