埃塞俄比亚与印度对比

埃塞俄比亚与印度：热带夜

2014 年热带夜：埃塞俄比亚为 144.9 夜，印度为 215.5 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 70.6 夜，是埃塞俄比亚的 1.49 倍。

在地图上查看其变化

每年夜数 · CMIP6

埃塞俄比亚与印度：热带夜2014 年热带夜：埃塞俄比亚为 144.9 夜，印度为 215.5 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 70.6 夜，是埃塞俄比亚的 1.49 倍。
埃塞俄比亚印度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，印度的数值都更高。
  • 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，印度为 250.4 夜。

逐年数据

每年夜数 · CMIP6

年份埃塞俄比亚印度
2014144.9215.5
2013145.1216
2012144.4217.4
2011145.6215.5
2010142.4215.2
2009140.3213.7
2008137.1213.7
2007138.2213.3
2006138.7212.5
2005138.1212.9
2004139.1214.9
2003138.8212.1
2002137.4213
2001139.2212.2
2000135.5210.8
1999132.6211.9
1998132.9210.3
1997132.7209.5
1996129.7207
1995127.8208.8
1994126.3207.1
1993122.5206
1992119.7203.5
1991129.5208
1990132.7209.9
1989129.4208
1988128.2207.3
1987126.4207.2
1986128.1207.2
1985122.8205.9
1984124.8206.7
1983120.6203.3
1982126.3205.7
1981127208.4
1980124.9205.3
1979125.1205.5
1978124.7204.1
1977125.8205.9
1976122204.6
1975119.5202.6
1974124205.3
1973125.2205.6
1972122.3203.8
1971120.6203.6
1970121.3202.6
1969120.4203.6
1968119.1201.7
1967118.1201.6
1966119.5203.9
1965117.4202.4
1964116.6201.2
1963115.7201.8
1962121.6203.8
1961124.2206.3
1960124.5206
1959121.6206.1
1958124.1204
1957123.2206.5
1956120.9204
1955122.8203.2
1954121.6206
1953121.2204
1952122.8204.4
1951123204.3
1950122206.3
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份埃塞俄比亚印度
2015146.6129.4–163.9216.9202.1–228.4
2016144.1127–160.6215202.5–227.6
2017148.3129.2–164.9216.2202.1–228.5
2018149.6131.6–166218.3204.5–231.4
2019146.2129.3–166217.4202.3–230.4
2020149.4129.6–168.5217.6203.1–232
2021150.7132.1–170219.7204.5–233.2
2022154135.7–171.2220.5205.8–233
2023153.5135.4–171.4220.4206.4–233.7
2024156.5135.9–175.6222.6208.1–236.3
2025154132.6–175.5219.7202.7–236.2
2026153132–175220.2204.2–236.8
2027154.2134.4–175.3223.6207.1–239
2028157.5138.3–177.4222.1205.1–235.7
2029159.2141.8–176.8225.4210–240.3
2030156.8136.3–175.7222.7207.3–235.6
2031161.4142.4–179.1223.8207.1–237.8
2032161.7143.1–182.5225.9210–240.5
2033161.8140–180.9223.8209.3–235.4
2034158.8141.5–184.3225.8210–242.7
2035162141.7–184.2224.9210.6–240.9
2036160.5143.6–179.4224.2210.4–240.3
2037165145.8–184.5228.3213.6–242.6
2038167.1146.5–186.7228.1212.6–241.4
2039164.5143.9–186227.4211.9–242.8
2040165.9146.2–190.1227212.2–242
2041167.9146.3–189.3227.1210.7–240.5
2042167.7146–194.3229.1214.8–244.2
2043167.3145.5–190.8228.9214.5–244
2044168.2148.2–189.9229.7214.7–244.2
2045170.7149.1–192.3231.2216.6–246.1
2046175.3150–198.6232.6216.2–248.6
2047176.9151.8–197.5232.4215.5–250
2048177.5155.4–199.1235.6218.5–254.3
2049177.5157.9–198.4235.3218.3–249.9
2050176.4153.8–199233.5216.6–253.4
2051176.6155.3–199.7234.9218.6–249.9
2052177155.6–200.7234219.4–249.3
2053176.7154.2–201.6234.9219.5–252.5
2054177.6156.9–201.1237.2219.4–253.1
2055180.6155.2–202.3237.2220.7–256.6
2056177.3155–205.4238.8221.2–254.9
2057180.3159.3–205.5235.7218.5–253.8
2058182.6153.7–209.4238.8222.8–254.1
2059185.7160.1–210.6241.1224.9–256.2
2060185.9160.3–210.4240.9225.6–255.6
2061183.3158.3–211.7237.9220.6–253.7
2062183.8155.4–213239.9221.2–259.7
2063184.5159.1–208.6239.9222.3–256.1
2064186.7160.6–207.2240223.8–256.3
2065183.7162.4–212.9240.9222.9–257.3
2066187.1165.4–210.1241.5224.1–258.6
2067187.1160.7–214.5241.6224.8–257.9
2068187.6160.4–215.8242.3224.6–262.1
2069187.8165.4–215.8242.8225.4–259.1
2070187.9161.6–216.9240.1225.3–257.1
2071192.7165.2–219.5241.8223.7–260.2
2072193.6167.4–214.5242.6225.4–259.2
2073193.3169.7–218.7243.8228–259.3
2074188.5163.9–219241.6226.9–258.4
2075191.9162.7–218.6243.5226.4–258.2
2076195166.9–218.9243.2224.6–259.9
2077194.1169.3–223.3243.7226.6–264.6
2078192.1168.4–218.6246.7230.1–261.5
2079193.4166.6–220.9244.9226.4–261.3
2080196.1169.2–222.4246.7227–263.7
2081194.6171–221.4247.5230.4–264.8
2082195.4168.8–219.9244.6227.9–262.3
2083194.6168.2–228.7247.5227.8–265.1
2084198.5170.7–224.2247.3228.3–266.8
2085198.4173.1–226.3246.5227.5–267.1
2086198.6172.3–228.4245.6227.7–266.5
2087199170.6–226.6245.5226.7–266.2
2088199170.7–227.7247229.4–266.9
2089198.6171.2–226.2248.1230–266.3
2090198.6173.4–227.7249228.9–266.4
2091203.6171.9–232.1248.9230–266.5
2092200.7172.5–229.7249.8232.3–267.8
2093201.4175.2–228.6248.1229–266.5
2094200.2174–228.9249.1230.6–268.4
2095203.9175.7–231.9251233.2–270
2096199.1170.5–230.8247.8231.4–269.3
2097198.4171.8–229.3251.1231.4–268
2098198.7172.1–231.5252.3230.8–268.3
2099201.8172.8–233.3248.7230.1–268.3
2100201.7175.1–231.8250.4232.9–266.7

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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。

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