马拉维与尼日尔对比

马拉维与尼日尔:35 °C 以上天数

2014 年35 °C 以上天数:马拉维为 3.7 天,尼日尔为 209.1 天(CMIP6 气候模型中位数模拟)。 2014 年尼日尔的数值较高,高出 205.4 天,是马拉维的 56 倍。

每年天数 · CMIP6

马拉维与尼日尔:35 °C 以上天数2014 年35 °C 以上天数:马拉维为 3.7 天,尼日尔为 209.1 天(CMIP6 气候模型中位数模拟)。 2014 年尼日尔的数值较高,高出 205.4 天,是马拉维的 56 倍。
马拉维尼日尔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,尼日尔的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年马拉维为 16.3 天,尼日尔为 242.2 天。

逐年数据

每年天数 · CMIP6

年份马拉维尼日尔
20143.7209.1
20134.3205.4
20123.5206
20113.1207.1
20103.4205.9
20093.2204.2
20083.2204.4
20073.5201.3
20063.1198.7
20053200.6
20043.4199.3
20033.7201.3
20023.5202.4
20013.6201.1
20003.2197.9
19992.7196.9
19983.1192.7
19972.8197.8
19962.7194.5
19952.3193.7
19942.3193.1
19931.7186.1
19922.3187.1
19912.3195.9
19902.5192.7
19892.5192.9
19882.6190.4
19872.4190.2
19862.5196.3
19852189.1
19842.2189.6
19832.5189.7
19822.2187.5
19812.3190.9
19802.4191.8
19792.3189.1
19782.1186.3
19772.4190.8
19762189.5
19752.4185
19742.5184.8
19732.1192.4
19722189.8
19712186.7
19702.3188.9
19692.3184.3
19682188.6
19672183.6
19661.7185.4
19652.4185.7
19641.4181.4
19632179.4
19622.2189
19612.3186.5
19602.5194.1
19592.6190.2
19582.6186.8
19572.2194
19562188.3
19552.3188.8
19542.5189
19531.9188.3
19522.1188.4
19511.9190.5
19502.2189.6
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份马拉维尼日尔
20154.62.2–8.3205.1180.6–228.1
20164.22.1–8.2204.2180.2–222.1
20174.12.3–7.6210.9185.3–233.6
20184.22.2–7.4206183.2–227.4
20194.32.4–7.7206.7178.9–231.2
20204.82–8.5207.9183.1–226.7
20213.72.1–6.7209189.8–228
20224.82.5–8.6213190.1–231
20235.52.5–9207186.6–229.1
20244.72.7–7.7216.5197.3–234.6
20254.71.4–9.6214.6195.3–232
20264.82.7–9.2210.3178.5–235.6
202762.9–13216.5188.8–235.6
20285.32.7–8.9217188.5–233.4
20295.32.4–10.7218.1194.8–237.8
20305.42.5–13.1217.1191.5–237
20315.53.1–9.9215195.1–239.7
20325.72.9–11213.2192.1–232
203372.9–12.9217.2196.1–237
20346.73.3–13216.7191–240
20356.73.1–13.6219.7195.8–235.8
20365.52.8–11.8216.2196–236.1
20377.13.6–13.7222.3199.9–240.2
20387.34.2–13.7219.5198.9–243.8
20396.33.2–13.5218.3195.6–242.5
20406.33.1–12.1218.7200.4–240.1
204172.9–13.3222.2200.4–245
20426.83.8–12.4222201.7–244.6
20436.53.5–16.7220.5198.6–236.4
20446.92.8–15.2218.2198.9–241.6
20457.13.9–12.2222202–242
20467.83.8–14.2225.1198–243
20478.34–17.8229.1204.3–245.7
20489.14.7–17.3225.8200.7–247.3
20497.33.8–15222.4197.3–242.8
20509.54.7–18.2224.7203.3–246.8
205110.64.5–23.3224.6203.8–242.1
2052105–21229.7204.6–252.7
20538.72.4–19.7225.2204.6–248.6
20549.93.7–23.4229199.7–252.3
205510.64.6–20.7230.7210.5–249.6
205610.33.7–22.2229.8199.3–254.5
205710.54.6–21.4231.1205.6–251.8
205811.35.9–20.5226.7203.5–249.9
205911.55.6–21.2233.3210.7–256
206010.84.1–22.7230.9206.7–251.3
206111.34.8–22.1232.3207.4–256.9
206211.35.1–22.7233211.8–254.7
206310.15.2–23.7228.8206.1–248.5
206411.85–20.3232.3207.9–252.9
206512.85.1–26.9233.4211.8–253.6
2066126–29.8236.5212.7–261.5
206710.44.9–22.7229.1206.5–253.3
206811.45–23.2233.9210.6–259.9
206913.15.1–24.7233.2210.6–253.7
207012.15.2–23.4235.8209.1–254.8
207113.75–26.6237.9218.7–258.9
207214.36.3–26.1237.9218–259.8
207314.85.2–31235.1210–259.4
207411.45.2–26.8235.2212.8–261.3
207511.65.5–26.2239.3212.9–259.7
207613.35.3–28.2238.9215.3–262.6
207713.56.6–25.7242218.1–264
207813.95–24.9241.4216.1–262.3
207914.37–26.2235.6213.1–259.6
208013.56.3–29.4238.2215.8–263.6
208113.94.7–26.2240.1217.1–267.5
208212.46.4–28.7238215.5–261.3
208314.47.5–27.7242.5216.2–264
208414.76.5–27.6239.2214.3–261.4
208515.77.8–31.7241.7216.6–264.8
2086136.6–27.8240.9220–270.6
208713.96.4–30.6236.9208.4–262.9
208817.15.9–35.2236.9216.5–271.3
208915.67–28.8242.4215.5–267.5
209017.34.8–37.7242.1213.6–262.2
209117.95.2–35.8241.3218.9–266.5
209216.76.7–34.9245217.6–266.3
209315.95.8–32.8242.2219.3–262.9
209418.86–34.8245.1220.3–263.4
209516.77.4–29.2244.1218.8–266.6
209616.36.4–31.6241.9225.1–264.5
2097145.6–30.8241.4218–265.6
209815.77.8–29.3240.8215.3–263.5
209918.37.2–39.1247.1221.7–265.4
210016.36.6–32.1242.2221.3–266.4

分别查看各国

须知

  • 一年中最高气温超过 35 °C 的天数,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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