马达加斯加与莫桑比克对比

马达加斯加与莫桑比克：热带夜

2014 年热带夜：马达加斯加为 138.3 夜，莫桑比克为 186.3 夜（CMIP6 气候模型中位数模拟）。 2014 年莫桑比克的数值较高，高出 48 夜，是马达加斯加的 1.35 倍。

在地图上查看其变化

每年夜数 · CMIP6

马达加斯加与莫桑比克：热带夜2014 年热带夜：马达加斯加为 138.3 夜，莫桑比克为 186.3 夜（CMIP6 气候模型中位数模拟）。 2014 年莫桑比克的数值较高，高出 48 夜，是马达加斯加的 1.35 倍。
马达加斯加莫桑比克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，莫桑比克的数值都更高。
  • 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，莫桑比克为 254.4 夜。

逐年数据

每年夜数 · CMIP6

年份马达加斯加莫桑比克
2014138.3186.3
2013138186.9
2012138.3185.2
2011136.8184.1
2010134.2182.2
2009133.5178.2
2008132.3176.8
2007133.1178.9
2006131.6177.4
2005130.3176.9
2004133.5181
2003131180
2002131.8177.1
2001131.7180.6
2000127.4173.6
1999128.4171.5
1998128.6174.1
1997125.3169.9
1996121.8164.7
1995123.3165.8
1994121.8163.1
1993116155.5
1992116.6156
1991124.9167.5
1990126.2170.2
1989124164
1988123.8166.4
1987122.8166
1986123.8166.6
1985120159.3
1984118.6161.1
1983116.5159.7
1982121.8160.6
1981122.1164.5
1980120.3161.9
1979120.7162.2
1978119.3160.2
1977119160.2
1976117.4157.4
1975116.5157.7
1974119.5159.1
1973119160.4
1972117157.6
1971116.3155.6
1970117159.7
1969116.3157.8
1968113.1153
1967113152.8
1966114.1152.5
1965112.2153.1
1964109.6145.9
1963109.7146.8
1962115.3158.5
1961118.5158.8
1960118.2160.6
1959119159.7
1958118.7159.5
1957117.6156.9
1956115.5153.4
1955116.6159.6
1954115.9155.4
1953116.4156.8
1952117.4156.6
1951116157.4
1950116.3156.3
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份马达加斯加莫桑比克
2015142.8126.7–159.3191170.1–212.1
2016137.8122.2–156187.6168.6–208.2
2017143.1125.6–159.4190.1169.4–210.1
2018143.7125.9–160.3189.8163.6–212.8
2019143.4124.4–162.3189.7171.9–208.8
2020143.4125.2–159191.3169–213.8
2021145.4128.8–160.4193.1172.7–212.9
2022150.4133.4–165.2199.9176.3–216.7
2023149.7132.1–166196.8176.4–217.3
2024150.7131.4–167.9199.7173.4–222.8
2025149128.8–169.1195.7173–219.1
2026150.1127.4–169.9197.7172.6–219.3
2027151.8131.9–170.8199.9177.9–221.8
2028154.9137.7–173.1202.5181.1–221.1
2029155.7135.2–173.8207.6187.3–227.3
2030154.8136.4–171.3203.6183.2–223.8
2031158.1141.3–174.8207.3188.7–225
2032157.9136.2–178.4207.4186.7–230.9
2033158.9136.7–177.8206.1180.7–226.1
2034158.6140.6–179.6206.3181.3–227.7
2035161.1140.2–181.6208.2184.1–233.6
2036159.5139.4–177.1208.3183.8–226.4
2037165.8144.7–182.8213.7191.8–234.3
2038166.5149.3–183.9218.4195.7–240.9
2039164.1145.1–183.9212.6192.3–233.5
2040162.8144.5–184.8212.7189–233.9
2041165.8143.5–183.9213.1187.1–238
2042165.1144.3–188.4214.9190.4–241.3
2043165.6148.5–184.7216196.2–238.9
2044167.3145.8–187220.2196.1–242.1
2045166.9147.1–187.1217.2198.6–237.6
2046171.4149.6–193224.4200.5–247.6
2047171.7148.8–193.4224.5201.3–246.3
2048173.7151.7–193.6225.7205–247.5
2049172.2151.4–192.9226.4199.2–247.8
2050174.4150.5–193.6225.5198.1–246.6
2051175154.3–195.1227.5206.2–248.7
2052176153.8–196.7230.5208.6–255.2
2053176.6151.1–197.8226.3200.4–250
2054175.5152.8–199.2227.8203.9–256.1
2055179.2157.3–196.8231.5208.3–254.4
2056178.8156.5–199.7227.8204.6–253.1
2057177.7155.5–201227.6205.7–252.2
2058180.5158.9–202.4230.2208.3–251.8
2059181.8158.3–202.5235.5212.5–261.4
2060185.1159.5–207.8237.5208.9–257.9
2061180.6157.6–203.8232.1204.8–256.1
2062180.6157.1–205.6233.2208.6–257.9
2063185156.8–210.7233.3207.3–261.6
2064184.7159.1–205.7234.6209.3–255.8
2065183.8157.1–208.5236208.7–261
2066187.3159.6–211239.4213.6–261.8
2067184.9155.9–208.9235.5205.9–259.4
2068187.5161.7–211.1237.7211–264.3
2069187.5162–211.3241.1212.2–263.4
2070187.8160.4–213.6240.7212.1–266
2071190.7162.7–216.6244.1214.3–272.8
2072191.8168.2–215.8244.7215.8–267.8
2073191.4168.7–214.5246214.2–267.6
2074189.4162.6–217.7242.2219.9–271.1
2075189.3163.8–214.2244.4215.6–267.9
2076191.1164.3–214240.8211–264.8
2077191.9168.8–217.1241.4214.7–272.4
2078190.1166.5–219.3245.4220.8–271.1
2079190.1163.7–216.2244.1214.3–276.4
2080194.8167.7–219.4246.1221–273.6
2081191.7166.7–218.1245.6214.5–268.1
2082193.8169.2–216.7246.9220.6–268.3
2083194.6166.1–218.1247.3217.4–276.4
2084197.9170–219.7248.5223.3–270.9
2085197.8172.3–223.7253.4221.5–277.6
2086192.9169.6–220242.9216.4–272.3
2087195.2170.4–220.1247.4222.8–271.3
2088198.1165.1–225.5253221.1–274.9
2089196.3167.9–227.6251.6221.9–277.3
2090197.5172.4–228.1249.9218.6–277.9
2091199.2172.7–226.7253.2221.4–280.8
2092202.4170.7–226.6252.7221.5–279.5
2093202.1172.3–230.5256221.7–279.4
2094198.3168.6–224251.8221–280.3
2095200.7171.7–225.1255.6225.8–278.1
2096199.8173.6–226.3254.7225.8–280.4
2097201.2170–227.6253.2221.8–281.6
2098201.1170.7–227.2256.1225.2–279.6
2099198.3173.8–225.8254.9223.4–278.7
2100198.5173.3–227.7254.4226.1–279.1

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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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