埃塞俄比亚与马拉维对比

埃塞俄比亚与马拉维:热带夜

2014 年热带夜:埃塞俄比亚为 144.9 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年埃塞俄比亚的数值较高,高出 6.8 夜,是马拉维的 1.05 倍。

每年夜数 · CMIP6

埃塞俄比亚与马拉维:热带夜2014 年热带夜:埃塞俄比亚为 144.9 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年埃塞俄比亚的数值较高,高出 6.8 夜,是马拉维的 1.05 倍。
埃塞俄比亚马拉维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 1950 年以来,在两国都有数据的每一年,埃塞俄比亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年埃塞俄比亚为 201.7 夜,马拉维为 213.3 夜。

逐年数据

每年夜数 · CMIP6

年份埃塞俄比亚马拉维
2014144.9138.1
2013145.1138.9
2012144.4137.4
2011145.6136.6
2010142.4132.4
2009140.3131.4
2008137.1130.8
2007138.2132.8
2006138.7129.8
2005138.1129.5
2004139.1133.4
2003138.8132.5
2002137.4130.3
2001139.2134
2000135.5126.6
1999132.6124.8
1998132.9127.1
1997132.7124.2
1996129.7121.3
1995127.8120.9
1994126.3118.4
1993122.5113.8
1992119.7114.1
1991129.5120.9
1990132.7123.8
1989129.4120.5
1988128.2120.8
1987126.4118.8
1986128.1121.1
1985122.8115.7
1984124.8116.2
1983120.6115.5
1982126.3115.1
1981127119
1980124.9116.9
1979125.1117.7
1978124.7114.8
1977125.8117.2
1976122114
1975119.5114
1974124115.2
1973125.2114.7
1972122.3113.8
1971120.6114.1
1970121.3115.8
1969120.4114.3
1968119.1110
1967118.1109.8
1966119.5111
1965117.4111.5
1964116.6106.3
1963115.7107.5
1962121.6114.7
1961124.2116
1960124.5117.4
1959121.6115.6
1958124.1116.4
1957123.2114.6
1956120.9111.4
1955122.8115.2
1954121.6113.9
1953121.2113
1952122.8113.5
1951123113.5
1950122112.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份埃塞俄比亚马拉维
2015146.6129.4–163.9145.7126.7–164.3
2016144.1127–160.6139.8122.6–157.4
2017148.3129.2–164.9143.6127–161.8
2018149.6131.6–166143.1124.6–162.6
2019146.2129.3–166143.8128.3–161.4
2020149.4129.6–168.5145127.3–165.8
2021150.7132.1–170145.3128–163.6
2022154135.7–171.2151130.1–169.1
2023153.5135.4–171.4149.2129.5–171.2
2024156.5135.9–175.6152.4130–172.6
2025154132.6–175.5151.1129.7–170.4
2026153132–175151.1126.2–173.8
2027154.2134.4–175.3154.4135.1–173.1
2028157.5138.3–177.4155.5134.6–174
2029159.2141.8–176.8159.8139.2–178.5
2030156.8136.3–175.7155.6138.7–174.5
2031161.4142.4–179.1161.1143.4–177.6
2032161.7143.1–182.5160.8141.3–181.3
2033161.8140–180.9161.3135.6–179.2
2034158.8141.5–184.3160.9138.9–185
2035162141.7–184.2164.3140.4–189.5
2036160.5143.6–179.4163.8137.6–182.5
2037165145.8–184.5166.9144.6–189.2
2038167.1146.5–186.7172.2148.4–191.2
2039164.5143.9–186164.8147.3–188.2
2040165.9146.2–190.1164.4146.4–189.7
2041167.9146.3–189.3169.3143.7–192.5
2042167.7146–194.3169.8146.3–197.8
2043167.3145.5–190.8167.5147.1–193.2
2044168.2148.2–189.9172.6148.3–197
2045170.7149.1–192.3170.4153.1–194.7
2046175.3150–198.6176.3151.2–203.1
2047176.9151.8–197.5178.7157.8–200.9
2048177.5155.4–199.1180.7158.9–204.1
2049177.5157.9–198.4176.7154–205.4
2050176.4153.8–199180.4155.2–204.9
2051176.6155.3–199.7182.9162.1–207.4
2052177155.6–200.7184.9163.2–209.6
2053176.7154.2–201.6177.2149.6–207.4
2054177.6156.9–201.1185.1157.1–208
2055180.6155.2–202.3186.1159.2–212.6
2056177.3155–205.4184.6158.5–214.3
2057180.3159.3–205.5184.7159.3–212.3
2058182.6153.7–209.4188.5163.8–214.7
2059185.7160.1–210.6189.8166.9–218.5
2060185.9160.3–210.4192.6163.4–218.1
2061183.3158.3–211.7186.4158.8–216.8
2062183.8155.4–213192.3163.9–218.6
2063184.5159.1–208.6189.2165.2–220.3
2064186.7160.6–207.2197161.3–218
2065183.7162.4–212.9193.1165.8–225.2
2066187.1165.4–210.1201170.1–224.7
2067187.1160.7–214.5193.1164.2–223.7
2068187.6160.4–215.8198.6163.7–227.1
2069187.8165.4–215.8199.4165.8–225
2070187.9161.6–216.9198.7168–226.7
2071192.7165.2–219.5199.3167.9–233.5
2072193.6167.4–214.5202.3173.2–226.2
2073193.3169.7–218.7205.4168.2–233.4
2074188.5163.9–219198.2175.4–227.7
2075191.9162.7–218.6199.6168.9–228.3
2076195166.9–218.9198.8169.8–225.2
2077194.1169.3–223.3202172.2–231.2
2078192.1168.4–218.6203.5175.8–232.1
2079193.4166.6–220.9203.6172.2–236.1
2080196.1169.2–222.4204.7172.2–234.3
2081194.6171–221.4202.2174.9–231.3
2082195.4168.8–219.9204.3178.3–228.6
2083194.6168.2–228.7205.8170.7–238.3
2084198.5170.7–224.2208.1175.9–235.6
2085198.4173.1–226.3211.1179.4–241
2086198.6172.3–228.4203.3175.4–237
2087199170.6–226.6205.3181.2–237.7
2088199170.7–227.7211.6174.7–240.6
2089198.6171.2–226.2208.9180.5–237.8
2090198.6173.4–227.7209.4173.4–243
2091203.6171.9–232.1214.3179.7–244.8
2092200.7172.5–229.7213.2176.8–242.3
2093201.4175.2–228.6212.5177.8–242.2
2094200.2174–228.9211.8179.7–241.5
2095203.9175.7–231.9216.9185–243.8
2096199.1170.5–230.8213.1182–247.6
2097198.4171.8–229.3210.8174.9–242.1
2098198.7172.1–231.5214.4181.5–242.2
2099201.8172.8–233.3213.5181.9–244.1
2100201.7175.1–231.8213.3181.5–246.3

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。

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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