埃塞俄比亚与马达加斯加对比

埃塞俄比亚与马达加斯加：热带夜

2014 年热带夜：埃塞俄比亚为 144.9 夜，马达加斯加为 138.3 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 6.6 夜，是马达加斯加的 1.05 倍。

在地图上查看其变化

每年夜数 · CMIP6

埃塞俄比亚与马达加斯加：热带夜2014 年热带夜：埃塞俄比亚为 144.9 夜，马达加斯加为 138.3 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 6.6 夜，是马达加斯加的 1.05 倍。
埃塞俄比亚马达加斯加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，马达加斯加为 198.5 夜。

逐年数据

每年夜数 · CMIP6

年份埃塞俄比亚马达加斯加
2014144.9138.3
2013145.1138
2012144.4138.3
2011145.6136.8
2010142.4134.2
2009140.3133.5
2008137.1132.3
2007138.2133.1
2006138.7131.6
2005138.1130.3
2004139.1133.5
2003138.8131
2002137.4131.8
2001139.2131.7
2000135.5127.4
1999132.6128.4
1998132.9128.6
1997132.7125.3
1996129.7121.8
1995127.8123.3
1994126.3121.8
1993122.5116
1992119.7116.6
1991129.5124.9
1990132.7126.2
1989129.4124
1988128.2123.8
1987126.4122.8
1986128.1123.8
1985122.8120
1984124.8118.6
1983120.6116.5
1982126.3121.8
1981127122.1
1980124.9120.3
1979125.1120.7
1978124.7119.3
1977125.8119
1976122117.4
1975119.5116.5
1974124119.5
1973125.2119
1972122.3117
1971120.6116.3
1970121.3117
1969120.4116.3
1968119.1113.1
1967118.1113
1966119.5114.1
1965117.4112.2
1964116.6109.6
1963115.7109.7
1962121.6115.3
1961124.2118.5
1960124.5118.2
1959121.6119
1958124.1118.7
1957123.2117.6
1956120.9115.5
1955122.8116.6
1954121.6115.9
1953121.2116.4
1952122.8117.4
1951123116
1950122116.3
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份埃塞俄比亚马达加斯加
2015146.6129.4–163.9142.8126.7–159.3
2016144.1127–160.6137.8122.2–156
2017148.3129.2–164.9143.1125.6–159.4
2018149.6131.6–166143.7125.9–160.3
2019146.2129.3–166143.4124.4–162.3
2020149.4129.6–168.5143.4125.2–159
2021150.7132.1–170145.4128.8–160.4
2022154135.7–171.2150.4133.4–165.2
2023153.5135.4–171.4149.7132.1–166
2024156.5135.9–175.6150.7131.4–167.9
2025154132.6–175.5149128.8–169.1
2026153132–175150.1127.4–169.9
2027154.2134.4–175.3151.8131.9–170.8
2028157.5138.3–177.4154.9137.7–173.1
2029159.2141.8–176.8155.7135.2–173.8
2030156.8136.3–175.7154.8136.4–171.3
2031161.4142.4–179.1158.1141.3–174.8
2032161.7143.1–182.5157.9136.2–178.4
2033161.8140–180.9158.9136.7–177.8
2034158.8141.5–184.3158.6140.6–179.6
2035162141.7–184.2161.1140.2–181.6
2036160.5143.6–179.4159.5139.4–177.1
2037165145.8–184.5165.8144.7–182.8
2038167.1146.5–186.7166.5149.3–183.9
2039164.5143.9–186164.1145.1–183.9
2040165.9146.2–190.1162.8144.5–184.8
2041167.9146.3–189.3165.8143.5–183.9
2042167.7146–194.3165.1144.3–188.4
2043167.3145.5–190.8165.6148.5–184.7
2044168.2148.2–189.9167.3145.8–187
2045170.7149.1–192.3166.9147.1–187.1
2046175.3150–198.6171.4149.6–193
2047176.9151.8–197.5171.7148.8–193.4
2048177.5155.4–199.1173.7151.7–193.6
2049177.5157.9–198.4172.2151.4–192.9
2050176.4153.8–199174.4150.5–193.6
2051176.6155.3–199.7175154.3–195.1
2052177155.6–200.7176153.8–196.7
2053176.7154.2–201.6176.6151.1–197.8
2054177.6156.9–201.1175.5152.8–199.2
2055180.6155.2–202.3179.2157.3–196.8
2056177.3155–205.4178.8156.5–199.7
2057180.3159.3–205.5177.7155.5–201
2058182.6153.7–209.4180.5158.9–202.4
2059185.7160.1–210.6181.8158.3–202.5
2060185.9160.3–210.4185.1159.5–207.8
2061183.3158.3–211.7180.6157.6–203.8
2062183.8155.4–213180.6157.1–205.6
2063184.5159.1–208.6185156.8–210.7
2064186.7160.6–207.2184.7159.1–205.7
2065183.7162.4–212.9183.8157.1–208.5
2066187.1165.4–210.1187.3159.6–211
2067187.1160.7–214.5184.9155.9–208.9
2068187.6160.4–215.8187.5161.7–211.1
2069187.8165.4–215.8187.5162–211.3
2070187.9161.6–216.9187.8160.4–213.6
2071192.7165.2–219.5190.7162.7–216.6
2072193.6167.4–214.5191.8168.2–215.8
2073193.3169.7–218.7191.4168.7–214.5
2074188.5163.9–219189.4162.6–217.7
2075191.9162.7–218.6189.3163.8–214.2
2076195166.9–218.9191.1164.3–214
2077194.1169.3–223.3191.9168.8–217.1
2078192.1168.4–218.6190.1166.5–219.3
2079193.4166.6–220.9190.1163.7–216.2
2080196.1169.2–222.4194.8167.7–219.4
2081194.6171–221.4191.7166.7–218.1
2082195.4168.8–219.9193.8169.2–216.7
2083194.6168.2–228.7194.6166.1–218.1
2084198.5170.7–224.2197.9170–219.7
2085198.4173.1–226.3197.8172.3–223.7
2086198.6172.3–228.4192.9169.6–220
2087199170.6–226.6195.2170.4–220.1
2088199170.7–227.7198.1165.1–225.5
2089198.6171.2–226.2196.3167.9–227.6
2090198.6173.4–227.7197.5172.4–228.1
2091203.6171.9–232.1199.2172.7–226.7
2092200.7172.5–229.7202.4170.7–226.6
2093201.4175.2–228.6202.1172.3–230.5
2094200.2174–228.9198.3168.6–224
2095203.9175.7–231.9200.7171.7–225.1
2096199.1170.5–230.8199.8173.6–226.3
2097198.4171.8–229.3201.2170–227.6
2098198.7172.1–231.5201.1170.7–227.2
2099201.8172.8–233.3198.3173.8–225.8
2100201.7175.1–231.8198.5173.3–227.7

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

埃塞俄比亚与马达加斯加对比

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