马拉维与尼日尔对比

马拉维与尼日尔：热带夜

2014 年热带夜：马拉维为 138.1 夜，尼日尔为 221.6 夜（CMIP6 气候模型中位数模拟）。 2014 年尼日尔的数值较高，高出 83.5 夜，是马拉维的 1.6 倍。

在地图上查看其变化

每年夜数 · CMIP6

马拉维与尼日尔：热带夜2014 年热带夜：马拉维为 138.1 夜，尼日尔为 221.6 夜（CMIP6 气候模型中位数模拟）。 2014 年尼日尔的数值较高，高出 83.5 夜，是马拉维的 1.6 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 213.3 夜，尼日尔为 251.1 夜。

逐年数据

每年夜数 · CMIP6

年份马拉维尼日尔
2014138.1221.6
2013138.9216.1
2012137.4220.8
2011136.6220.1
2010132.4219.1
2009131.4217.2
2008130.8216.8
2007132.8216.9
2006129.8214.3
2005129.5213.6
2004133.4213.6
2003132.5215.5
2002130.3214.6
2001134213.4
2000126.6211.2
1999124.8210.4
1998127.1207.7
1997124.2211.5
1996121.3208.6
1995120.9208.3
1994118.4207.8
1993113.8202.6
1992114.1203.4
1991120.9209.4
1990123.8208.1
1989120.5206
1988120.8203
1987118.8204.9
1986121.1206.8
1985115.7203.9
1984116.2201.8
1983115.5200.5
1982115.1201.9
1981119204.3
1980116.9200.6
1979117.7200.5
1978114.8202
1977117.2203.8
1976114201.7
1975114199
1974115.2200.6
1973114.7202.6
1972113.8200.7
1971114.1200.8
1970115.8199.8
1969114.3196.1
1968110200.3
1967109.8196.6
1966111198.2
1965111.5199
1964106.3199.2
1963107.5196.7
1962114.7201.1
1961116198.2
1960117.4203.2
1959115.6201.6
1958116.4199.2
1957114.6201.1
1956111.4199.6
1955115.2199.7
1954113.9201.1
1953113196.5
1952113.5197.9
1951113.5199.8
1950112.8200.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份马拉维尼日尔
2015145.7126.7–164.3218.8202.8–235.8
2016139.8122.6–157.4217.7201.8–230.6
2017143.6127–161.8222.4205.2–237.4
2018143.1124.6–162.6220.5206.3–238.8
2019143.8128.3–161.4219.1201.8–238.1
2020145127.3–165.8220.9206.9–234.7
2021145.3128–163.6222.8208.2–240.2
2022151130.1–169.1226.3209.7–239.2
2023149.2129.5–171.2223.2206.6–238.4
2024152.4130–172.6228.4214.3–242.9
2025151.1129.7–170.4226.7211.2–241
2026151.1126.2–173.8226.3210–243.1
2027154.4135.1–173.1228.5209.9–241.1
2028155.5134.6–174227.1211.9–240.2
2029159.8139.2–178.5230.4213.3–247.1
2030155.6138.7–174.5226.4211.6–242.2
2031161.1143.4–177.6230.1210.8–247.1
2032160.8141.3–181.3228.7212.3–241
2033161.3135.6–179.2229.9214.9–245.4
2034160.9138.9–185229.5212.1–244.9
2035164.3140.4–189.5232.3217.5–248
2036163.8137.6–182.5230.2213.7–244.6
2037166.9144.6–189.2233.2215.1–246.5
2038172.2148.4–191.2234.3218.2–249.7
2039164.8147.3–188.2231214.2–247.1
2040164.4146.4–189.7230.8214.8–247.5
2041169.3143.7–192.5232.6218.6–252.9
2042169.8146.3–197.8233.8216.2–250.5
2043167.5147.1–193.2232.5217.8–245.8
2044172.6148.3–197233.8218.2–250.1
2045170.4153.1–194.7233.6218.1–249.7
2046176.3151.2–203.1234.3217–250.2
2047178.7157.8–200.9238.4224.3–253.1
2048180.7158.9–204.1238221.4–254
2049176.7154–205.4237.7217.4–253
2050180.4155.2–204.9238.2220.7–254.5
2051182.9162.1–207.4236.3220.6–254.7
2052184.9163.2–209.6239.5224.3–255.8
2053177.2149.6–207.4236.3223.9–255.6
2054185.1157.1–208239.4220.2–257.9
2055186.1159.2–212.6238.6223.7–254.7
2056184.6158.5–214.3239214.7–260.3
2057184.7159.3–212.3240.4223–256.3
2058188.5163.8–214.7238.2220.2–255.7
2059189.8166.9–218.5243.9224.6–262.7
2060192.6163.4–218.1239.8222.6–260
2061186.4158.8–216.8242.5224.9–258.5
2062192.3163.9–218.6241.6222.4–259.8
2063189.2165.2–220.3241.3220.9–255.2
2064197161.3–218244.4225.9–259.5
2065193.1165.8–225.2242.8226.5–262.4
2066201170.1–224.7245.6227–263.5
2067193.1164.2–223.7240.7224.9–262
2068198.6163.7–227.1244224.3–265.4
2069199.4165.8–225243.9225.5–261.6
2070198.7168–226.7243.1225.6–261.3
2071199.3167.9–233.5246.1230.3–264
2072202.3173.2–226.2247.9229.9–263.7
2073205.4168.2–233.4243.4225.4–262.8
2074198.2175.4–227.7243.2224.4–264.6
2075199.6168.9–228.3244.3230.2–263.3
2076198.8169.8–225.2246.5228.5–266.6
2077202172.2–231.2250.1232.3–267.4
2078203.5175.8–232.1249.2230.8–264.5
2079203.6172.2–236.1244.4228.7–263.8
2080204.7172.2–234.3248.8230.4–267
2081202.2174.9–231.3247227.8–268.1
2082204.3178.3–228.6247230.6–264.4
2083205.8170.7–238.3247.3230.7–267.5
2084208.1175.9–235.6247.7229.4–265.2
2085211.1179.4–241248.9227–264.2
2086203.3175.4–237250.4230.9–269.5
2087205.3181.2–237.7245.8226.2–266.9
2088211.6174.7–240.6248.3226.7–271.1
2089208.9180.5–237.8251.9232.5–269.5
2090209.4173.4–243249.7227.7–267.4
2091214.3179.7–244.8248.9230.5–272.2
2092213.2176.8–242.3251229.8–274
2093212.5177.8–242.2249.9234.8–267
2094211.8179.7–241.5252.2234–267.5
2095216.9185–243.8251.1233–270.7
2096213.1182–247.6250.8234.8–270.4
2097210.8174.9–242.1250.2227.8–270.8
2098214.4181.5–242.2250.1228.1–268.5
2099213.5181.9–244.1251.9232.2–268.2
2100213.3181.5–246.3251.1234.5–271.5

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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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