马达加斯加与马拉维对比

马达加斯加与马拉维:热带夜

2014 年热带夜:马达加斯加为 138.3 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年马达加斯加的数值较高,高出 0.2 夜,是马拉维的 1 倍。

每年夜数 · CMIP6

马达加斯加与马拉维:热带夜2014 年热带夜:马达加斯加为 138.3 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年马达加斯加的数值较高,高出 0.2 夜,是马拉维的 1 倍。
马达加斯加马拉维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 2014 年超过马拉维以来,马达加斯加的数值一直更高。
  • 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,马拉维为 213.3 夜。

逐年数据

每年夜数 · CMIP6

年份马达加斯加马拉维
2014138.3138.1
2013138138.9
2012138.3137.4
2011136.8136.6
2010134.2132.4
2009133.5131.4
2008132.3130.8
2007133.1132.8
2006131.6129.8
2005130.3129.5
2004133.5133.4
2003131132.5
2002131.8130.3
2001131.7134
2000127.4126.6
1999128.4124.8
1998128.6127.1
1997125.3124.2
1996121.8121.3
1995123.3120.9
1994121.8118.4
1993116113.8
1992116.6114.1
1991124.9120.9
1990126.2123.8
1989124120.5
1988123.8120.8
1987122.8118.8
1986123.8121.1
1985120115.7
1984118.6116.2
1983116.5115.5
1982121.8115.1
1981122.1119
1980120.3116.9
1979120.7117.7
1978119.3114.8
1977119117.2
1976117.4114
1975116.5114
1974119.5115.2
1973119114.7
1972117113.8
1971116.3114.1
1970117115.8
1969116.3114.3
1968113.1110
1967113109.8
1966114.1111
1965112.2111.5
1964109.6106.3
1963109.7107.5
1962115.3114.7
1961118.5116
1960118.2117.4
1959119115.6
1958118.7116.4
1957117.6114.6
1956115.5111.4
1955116.6115.2
1954115.9113.9
1953116.4113
1952117.4113.5
1951116113.5
1950116.3112.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份马达加斯加马拉维
2015142.8126.7–159.3145.7126.7–164.3
2016137.8122.2–156139.8122.6–157.4
2017143.1125.6–159.4143.6127–161.8
2018143.7125.9–160.3143.1124.6–162.6
2019143.4124.4–162.3143.8128.3–161.4
2020143.4125.2–159145127.3–165.8
2021145.4128.8–160.4145.3128–163.6
2022150.4133.4–165.2151130.1–169.1
2023149.7132.1–166149.2129.5–171.2
2024150.7131.4–167.9152.4130–172.6
2025149128.8–169.1151.1129.7–170.4
2026150.1127.4–169.9151.1126.2–173.8
2027151.8131.9–170.8154.4135.1–173.1
2028154.9137.7–173.1155.5134.6–174
2029155.7135.2–173.8159.8139.2–178.5
2030154.8136.4–171.3155.6138.7–174.5
2031158.1141.3–174.8161.1143.4–177.6
2032157.9136.2–178.4160.8141.3–181.3
2033158.9136.7–177.8161.3135.6–179.2
2034158.6140.6–179.6160.9138.9–185
2035161.1140.2–181.6164.3140.4–189.5
2036159.5139.4–177.1163.8137.6–182.5
2037165.8144.7–182.8166.9144.6–189.2
2038166.5149.3–183.9172.2148.4–191.2
2039164.1145.1–183.9164.8147.3–188.2
2040162.8144.5–184.8164.4146.4–189.7
2041165.8143.5–183.9169.3143.7–192.5
2042165.1144.3–188.4169.8146.3–197.8
2043165.6148.5–184.7167.5147.1–193.2
2044167.3145.8–187172.6148.3–197
2045166.9147.1–187.1170.4153.1–194.7
2046171.4149.6–193176.3151.2–203.1
2047171.7148.8–193.4178.7157.8–200.9
2048173.7151.7–193.6180.7158.9–204.1
2049172.2151.4–192.9176.7154–205.4
2050174.4150.5–193.6180.4155.2–204.9
2051175154.3–195.1182.9162.1–207.4
2052176153.8–196.7184.9163.2–209.6
2053176.6151.1–197.8177.2149.6–207.4
2054175.5152.8–199.2185.1157.1–208
2055179.2157.3–196.8186.1159.2–212.6
2056178.8156.5–199.7184.6158.5–214.3
2057177.7155.5–201184.7159.3–212.3
2058180.5158.9–202.4188.5163.8–214.7
2059181.8158.3–202.5189.8166.9–218.5
2060185.1159.5–207.8192.6163.4–218.1
2061180.6157.6–203.8186.4158.8–216.8
2062180.6157.1–205.6192.3163.9–218.6
2063185156.8–210.7189.2165.2–220.3
2064184.7159.1–205.7197161.3–218
2065183.8157.1–208.5193.1165.8–225.2
2066187.3159.6–211201170.1–224.7
2067184.9155.9–208.9193.1164.2–223.7
2068187.5161.7–211.1198.6163.7–227.1
2069187.5162–211.3199.4165.8–225
2070187.8160.4–213.6198.7168–226.7
2071190.7162.7–216.6199.3167.9–233.5
2072191.8168.2–215.8202.3173.2–226.2
2073191.4168.7–214.5205.4168.2–233.4
2074189.4162.6–217.7198.2175.4–227.7
2075189.3163.8–214.2199.6168.9–228.3
2076191.1164.3–214198.8169.8–225.2
2077191.9168.8–217.1202172.2–231.2
2078190.1166.5–219.3203.5175.8–232.1
2079190.1163.7–216.2203.6172.2–236.1
2080194.8167.7–219.4204.7172.2–234.3
2081191.7166.7–218.1202.2174.9–231.3
2082193.8169.2–216.7204.3178.3–228.6
2083194.6166.1–218.1205.8170.7–238.3
2084197.9170–219.7208.1175.9–235.6
2085197.8172.3–223.7211.1179.4–241
2086192.9169.6–220203.3175.4–237
2087195.2170.4–220.1205.3181.2–237.7
2088198.1165.1–225.5211.6174.7–240.6
2089196.3167.9–227.6208.9180.5–237.8
2090197.5172.4–228.1209.4173.4–243
2091199.2172.7–226.7214.3179.7–244.8
2092202.4170.7–226.6213.2176.8–242.3
2093202.1172.3–230.5212.5177.8–242.2
2094198.3168.6–224211.8179.7–241.5
2095200.7171.7–225.1216.9185–243.8
2096199.8173.6–226.3213.1182–247.6
2097201.2170–227.6210.8174.9–242.1
2098201.1170.7–227.2214.4181.5–242.2
2099198.3173.8–225.8213.5181.9–244.1
2100198.5173.3–227.7213.3181.5–246.3

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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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