埃塞俄比亚与巴基斯坦对比

埃塞俄比亚与巴基斯坦：热带夜

2014 年热带夜：埃塞俄比亚为 144.9 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年巴基斯坦的数值较高，高出 5 夜，是埃塞俄比亚的 1.03 倍。

在地图上查看其变化

每年夜数 · CMIP6

埃塞俄比亚与巴基斯坦：热带夜2014 年热带夜：埃塞俄比亚为 144.9 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年巴基斯坦的数值较高，高出 5 夜，是埃塞俄比亚的 1.03 倍。
埃塞俄比亚巴基斯坦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，巴基斯坦的数值都更高。
  • 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，巴基斯坦为 177.6 夜。

逐年数据

每年夜数 · CMIP6

年份埃塞俄比亚巴基斯坦
2014144.9149.9
2013145.1149.1
2012144.4149.9
2011145.6149
2010142.4148.4
2009140.3147.1
2008137.1147.4
2007138.2147.3
2006138.7146.7
2005138.1146.5
2004139.1147.5
2003138.8146
2002137.4148.3
2001139.2145.4
2000135.5144.7
1999132.6146.9
1998132.9144.8
1997132.7143.2
1996129.7141.2
1995127.8141.8
1994126.3142.1
1993122.5140.4
1992119.7139.9
1991129.5142.5
1990132.7142.6
1989129.4142.5
1988128.2140.3
1987126.4140
1986128.1140
1985122.8140
1984124.8138.9
1983120.6136.3
1982126.3138.5
1981127141.5
1980124.9139.5
1979125.1139.1
1978124.7139
1977125.8138.6
1976122139.2
1975119.5136.5
1974124138.7
1973125.2137.8
1972122.3137.4
1971120.6136
1970121.3137.7
1969120.4135.9
1968119.1136.6
1967118.1135.2
1966119.5136.9
1965117.4138.3
1964116.6135.1
1963115.7135.7
1962121.6137
1961124.2138.6
1960124.5139
1959121.6138.6
1958124.1137.7
1957123.2140
1956120.9137.8
1955122.8137.5
1954121.6137.8
1953121.2136.9
1952122.8138.1
1951123136.7
1950122139.1
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份埃塞俄比亚巴基斯坦
2015146.6129.4–163.9152.4138.7–163.3
2016144.1127–160.6150.6139.4–161.7
2017148.3129.2–164.9151.3138.8–162
2018149.6131.6–166152.6139.8–161.8
2019146.2129.3–166151.8138.1–163.3
2020149.4129.6–168.5153.1140.3–164.5
2021150.7132.1–170154.1140.6–165.7
2022154135.7–171.2153.1140.2–165.7
2023153.5135.4–171.4155.5141.6–165.9
2024156.5135.9–175.6156.8143.3–168.7
2025154132.6–175.5155.7141.5–168.6
2026153132–175155.3142.2–167.9
2027154.2134.4–175.3156.8140.9–168.9
2028157.5138.3–177.4156.5143.9–167.6
2029159.2141.8–176.8155.9141.5–167.7
2030156.8136.3–175.7156.3143.3–167.6
2031161.4142.4–179.1157.3144.4–168.1
2032161.7143.1–182.5157.4142.5–169.6
2033161.8140–180.9157.7143.6–169.4
2034158.8141.5–184.3159.5145.6–173.4
2035162141.7–184.2159.3146.7–170.3
2036160.5143.6–179.4159.1147.5–171.4
2037165145.8–184.5162.2147.5–175.3
2038167.1146.5–186.7161.4148.6–171.7
2039164.5143.9–186160148.2–170.4
2040165.9146.2–190.1160.9147.9–171.3
2041167.9146.3–189.3160.8146.7–171.7
2042167.7146–194.3162.3149.9–175.6
2043167.3145.5–190.8161.1150.3–173.8
2044168.2148.2–189.9163150.9–173.9
2045170.7149.1–192.3163149.5–174.8
2046175.3150–198.6163.5149.8–177.2
2047176.9151.8–197.5165.2151.8–178.5
2048177.5155.4–199.1166.4154.1–179.4
2049177.5157.9–198.4165150.8–178.2
2050176.4153.8–199166.9153.5–179.3
2051176.6155.3–199.7165.6150.8–180
2052177155.6–200.7166.7155.4–179.5
2053176.7154.2–201.6166.3154.2–178.8
2054177.6156.9–201.1167.5153.9–181
2055180.6155.2–202.3167.8155.8–182.5
2056177.3155–205.4166.3153.6–179.7
2057180.3159.3–205.5168.3153.9–182.3
2058182.6153.7–209.4167.5157–179.9
2059185.7160.1–210.6170.9155.9–183.8
2060185.9160.3–210.4170.3156.5–181.8
2061183.3158.3–211.7168.8156.8–179.6
2062183.8155.4–213171.6153.5–186.5
2063184.5159.1–208.6171.3159.5–183.8
2064186.7160.6–207.2170.2155.3–184.5
2065183.7162.4–212.9169.7156.4–185
2066187.1165.4–210.1172.2157–186.7
2067187.1160.7–214.5173.2160.2–186.3
2068187.6160.4–215.8172.6157.7–186.3
2069187.8165.4–215.8171.8157.3–185.6
2070187.9161.6–216.9171.7158.9–186.7
2071192.7165.2–219.5173.4158.7–186.8
2072193.6167.4–214.5174161.5–186.9
2073193.3169.7–218.7175.6157.2–187.9
2074188.5163.9–219173.5160–186.3
2075191.9162.7–218.6173161.5–187.8
2076195166.9–218.9172.9158.8–186.7
2077194.1169.3–223.3175161.3–187.8
2078192.1168.4–218.6174.4160.9–189.3
2079193.4166.6–220.9172.5158.3–187.7
2080196.1169.2–222.4175.1160.7–189.2
2081194.6171–221.4174.9159.2–190.2
2082195.4168.8–219.9175.4161.8–190.6
2083194.6168.2–228.7176.5161.8–190.8
2084198.5170.7–224.2176.1160.9–190.5
2085198.4173.1–226.3176.3161.9–193.6
2086198.6172.3–228.4173.9160–189.1
2087199170.6–226.6176161–193.1
2088199170.7–227.7175.4160.5–195.2
2089198.6171.2–226.2177.2164.2–191.7
2090198.6173.4–227.7177.7163.9–192.2
2091203.6171.9–232.1177.8162.8–192.2
2092200.7172.5–229.7178.7162.9–192.9
2093201.4175.2–228.6177164–191
2094200.2174–228.9176.8164.1–190.7
2095203.9175.7–231.9178.6163.8–193.1
2096199.1170.5–230.8177.8163.7–192.5
2097198.4171.8–229.3177.3160.4–192.5
2098198.7172.1–231.5178.7162.6–195.7
2099201.8172.8–233.3176159.9–193.2
2100201.7175.1–231.8177.6162.2–193

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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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