马达加斯加与马里对比

马达加斯加与马里：热带夜

2014 年热带夜：马达加斯加为 138.3 夜，马里为 250.2 夜（CMIP6 气候模型中位数模拟）。 2014 年马里的数值较高，高出 111.9 夜，是马达加斯加的 1.81 倍。

在地图上查看其变化

每年夜数 · CMIP6

马达加斯加与马里：热带夜2014 年热带夜：马达加斯加为 138.3 夜，马里为 250.2 夜（CMIP6 气候模型中位数模拟）。 2014 年马里的数值较高，高出 111.9 夜，是马达加斯加的 1.81 倍。
马达加斯加马里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，马里的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年马达加斯加为 198.5 夜，马里为 283.6 夜。

逐年数据

每年夜数 · CMIP6

年份马达加斯加马里
2014138.3250.2
2013138247.3
2012138.3253.1
2011136.8251.9
2010134.2250.4
2009133.5248
2008132.3247.8
2007133.1248.1
2006131.6245.5
2005130.3244.3
2004133.5243.9
2003131247.1
2002131.8245.8
2001131.7245.6
2000127.4243.2
1999128.4242.4
1998128.6240.6
1997125.3240.7
1996121.8236.4
1995123.3238
1994121.8236.2
1993116235.1
1992116.6232
1991124.9238.7
1990126.2241
1989124236.3
1988123.8234.7
1987122.8236.1
1986123.8237.1
1985120235.3
1984118.6233
1983116.5231.2
1982121.8234.9
1981122.1233.9
1980120.3231.5
1979120.7233.8
1978119.3234.8
1977119233.6
1976117.4231.7
1975116.5232.4
1974119.5229.7
1973119230.3
1972117230.7
1971116.3229.5
1970117229.9
1969116.3227.3
1968113.1230.5
1967113229
1966114.1228.1
1965112.2230.2
1964109.6228.9
1963109.7228.2
1962115.3231.7
1961118.5231.6
1960118.2235.1
1959119231.8
1958118.7231.8
1957117.6233.3
1956115.5230.7
1955116.6230.6
1954115.9232
1953116.4228.3
1952117.4229.2
1951116231.4
1950116.3228.6
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份马达加斯加马里
2015142.8126.7–159.3247.9231.5–264.7
2016137.8122.2–156248231.3–262.6
2017143.1125.6–159.4252.7233.6–268.2
2018143.7125.9–160.3254.2236.4–269
2019143.4124.4–162.3251.6233.5–272.3
2020143.4125.2–159251.3231.2–270.7
2021145.4128.8–160.4254.8238.5–270
2022150.4133.4–165.2257237.8–275.3
2023149.7132.1–166254.2239.6–269.2
2024150.7131.4–167.9259.3242.3–276.8
2025149128.8–169.1256.2239.2–272.3
2026150.1127.4–169.9256.8237.2–277.8
2027151.8131.9–170.8258.5240.3–273.1
2028154.9137.7–173.1259.7243.6–273.9
2029155.7135.2–173.8260.8240.3–275.3
2030154.8136.4–171.3258.1237.5–272.6
2031158.1141.3–174.8262.2243.4–280.6
2032157.9136.2–178.4260.5242.1–278.2
2033158.9136.7–177.8262.1241.7–280.3
2034158.6140.6–179.6260.7242–275.3
2035161.1140.2–181.6261.5244.8–283.6
2036159.5139.4–177.1262.5244.6–281.1
2037165.8144.7–182.8264.5245.2–279.6
2038166.5149.3–183.9266246.7–283.2
2039164.1145.1–183.9262.3245–281.6
2040162.8144.5–184.8263.6247.5–279.6
2041165.8143.5–183.9264.6250.8–283.1
2042165.1144.3–188.4265.7245.9–283.5
2043165.6148.5–184.7264.8246.9–278.8
2044167.3145.8–187269.3247.4–284.7
2045166.9147.1–187.1265.6248.9–283.7
2046171.4149.6–193269.8247.5–286.4
2047171.7148.8–193.4271.9251.2–290.3
2048173.7151.7–193.6270.4254.4–288.2
2049172.2151.4–192.9272252.1–288.2
2050174.4150.5–193.6269.5250.6–286.4
2051175154.3–195.1268.8251.7–286.9
2052176153.8–196.7270.1252.7–292.1
2053176.6151.1–197.8269.3249.2–288.8
2054175.5152.8–199.2270.3251.7–290.6
2055179.2157.3–196.8270.9252.7–288.1
2056178.8156.5–199.7273248.6–291.4
2057177.7155.5–201275.5255.2–295
2058180.5158.9–202.4271252.7–293.2
2059181.8158.3–202.5274.5259.3–299.6
2060185.1159.5–207.8273.5258–293.7
2061180.6157.6–203.8275.4257–298
2062180.6157.1–205.6270.8251.7–291.8
2063185156.8–210.7275.9256.6–292.2
2064184.7159.1–205.7276.4256.6–298.4
2065183.8157.1–208.5275.3256–295.1
2066187.3159.6–211276.9260–296.5
2067184.9155.9–208.9272.6255.4–293.3
2068187.5161.7–211.1277.5258.1–296.5
2069187.5162–211.3276.1257.7–293.3
2070187.8160.4–213.6277.2256.6–296.6
2071190.7162.7–216.6277.2258.4–295.6
2072191.8168.2–215.8281.9263.8–298.9
2073191.4168.7–214.5276.8257.9–296.8
2074189.4162.6–217.7277.7258.7–295.9
2075189.3163.8–214.2278.5260.1–298.5
2076191.1164.3–214278.1261.1–294.2
2077191.9168.8–217.1283.8263.1–302.3
2078190.1166.5–219.3283.8263.5–299.4
2079190.1163.7–216.2278.9259.2–300.6
2080194.8167.7–219.4281.2262.1–299.4
2081191.7166.7–218.1279.1259.3–301.8
2082193.8169.2–216.7280.2260.2–298.4
2083194.6166.1–218.1280.8260.8–302.3
2084197.9170–219.7280.4263.8–301
2085197.8172.3–223.7284.6259.2–303
2086192.9169.6–220281.9262.8–302.4
2087195.2170.4–220.1279.7258.8–302.8
2088198.1165.1–225.5282.3260.7–303.3
2089196.3167.9–227.6283.4262.4–300.5
2090197.5172.4–228.1283.9259.8–301.9
2091199.2172.7–226.7283.1260.4–304.8
2092202.4170.7–226.6281.6259.7–303.1
2093202.1172.3–230.5284.8265.8–305.4
2094198.3168.6–224284.6262.8–305.6
2095200.7171.7–225.1283.6262–304.6
2096199.8173.6–226.3284.9263.3–306.3
2097201.2170–227.6280261–300.5
2098201.1170.7–227.2282.5262–302.1
2099198.3173.8–225.8285.3266.2–305.4
2100198.5173.3–227.7283.6262.8–304.1

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。

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