印度与以色列对比

印度与以色列：热带夜

2014 年热带夜：印度为 215.5 夜，以色列为 97.9 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 117.6 夜，是以色列的 2.2 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度与以色列：热带夜2014 年热带夜：印度为 215.5 夜，以色列为 97.9 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 117.6 夜，是以色列的 2.2 倍。
印度以色列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 年印度为 250.4 夜，以色列为 149.4 夜。

逐年数据

每年夜数 · CMIP6

年份印度以色列
2014215.597.9
201321698
2012217.496.3
2011215.596.1
2010215.295.5
2009213.792.5
2008213.794.1
2007213.392.7
2006212.592
2005212.992.3
2004214.990.7
2003212.193.9
200221389.5
2001212.291
2000210.889.5
1999211.986.2
1998210.384.8
1997209.584.2
199620783.7
1995208.879.3
1994207.180.1
199320671.6
1992203.574.9
199120878.4
1990209.980.2
198920876.9
1988207.376.5
1987207.275.1
1986207.278.3
1985205.974
1984206.769.4
1983203.368.9
1982205.773.5
1981208.473.5
1980205.375.3
1979205.568.7
1978204.171.6
1977205.972.3
1976204.673.2
1975202.670.9
1974205.372.5
1973205.671.9
1972203.869.9
1971203.673.1
1970202.671.6
1969203.670.6
1968201.769.6
1967201.666.9
1966203.968.8
1965202.463.5
1964201.266.1
1963201.870.9
1962203.873
1961206.371.5
196020674.9
1959206.175
195820473
1957206.574.8
195620474.3
1955203.272.8
195420671.4
195320473.7
1952204.472
1951204.375.1
1950206.369.5
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度以色列
2015216.9202.1–228.4105.988.4–122.7
2016215202.5–227.6104.186.9–120.1
2017216.2202.1–228.5107.892.2–121.4
2018218.3204.5–231.410993.8–124.2
2019217.4202.3–230.410989.1–124.5
2020217.6203.1–232111.594.8–123.5
2021219.7204.5–233.211097.7–128.4
2022220.5205.8–233111.493.6–130.2
2023220.4206.4–233.7117.297.9–130.5
2024222.6208.1–236.3114.5100.4–127.3
2025219.7202.7–236.2116.698.3–129.2
2026220.2204.2–236.8115.9104.9–126.2
2027223.6207.1–239115.699–127.1
2028222.1205.1–235.7116.3100.2–127.9
2029225.4210–240.3117103.1–129.2
2030222.7207.3–235.6118.6102.1–131.2
2031223.8207.1–237.8116.8104.4–132.8
2032225.9210–240.5121.4106.5–134.7
2033223.8209.3–235.4122.1108.9–134.7
2034225.8210–242.7119.7103.1–133.4
2035224.9210.6–240.9122.8105.8–138.8
2036224.2210.4–240.3120.2105.5–136.2
2037228.3213.6–242.6121.6106.3–139.4
2038228.1212.6–241.4126.5105.7–142.1
2039227.4211.9–242.8127.7110.5–147.1
2040227212.2–242124.2109.7–144.9
2041227.1210.7–240.5126108.4–141.5
2042229.1214.8–244.2128.5105.8–144.3
2043228.9214.5–244126.5111.8–144.3
2044229.7214.7–244.2125.9108.5–142.9
2045231.2216.6–246.1130.9117.5–148.6
2046232.6216.2–248.6131114.4–147.2
2047232.4215.5–250132.3116.1–145.4
2048235.6218.5–254.3129.9118.5–146.9
2049235.3218.3–249.9127.9108.7–143.9
2050233.5216.6–253.4133.3114.3–147
2051234.9218.6–249.9130.3116.7–143.9
2052234219.4–249.3130.3119.9–143.5
2053234.9219.5–252.5135120.4–149.7
2054237.2219.4–253.1134.1118.8–149.3
2055237.2220.7–256.6134.1115.2–150.3
2056238.8221.2–254.9136110.1–151.1
2057235.7218.5–253.8132.7110.9–155
2058238.8222.8–254.1135.7119.1–155.4
2059241.1224.9–256.2138.8118.5–156.7
2060240.9225.6–255.6136.1116.3–159.2
2061237.9220.6–253.7136119–150.7
2062239.9221.2–259.7139118.7–156
2063239.9222.3–256.1137.4120.1–151.2
2064240223.8–256.3139.3121–154.3
2065240.9222.9–257.3139.6122.3–154.3
2066241.5224.1–258.6137.3119.6–153.7
2067241.6224.8–257.9142.8126–157.8
2068242.3224.6–262.1141.2122.8–156.4
2069242.8225.4–259.1141.5123.7–157.6
2070240.1225.3–257.1141.8120.5–157.5
2071241.8223.7–260.2142.9124.3–161.8
2072242.6225.4–259.2144.3127–158.5
2073243.8228–259.3143.6127.3–159.2
2074241.6226.9–258.4138.8123–162.2
2075243.5226.4–258.2138.1120.8–154.6
2076243.2224.6–259.9143.2126.8–161.5
2077243.7226.6–264.6142.8120.5–161.6
2078246.7230.1–261.5143.6128.2–160.6
2079244.9226.4–261.3148.6123.7–160.2
2080246.7227–263.7145.5123.5–163.7
2081247.5230.4–264.8143.7128.1–161.2
2082244.6227.9–262.3145.8129.5–160.6
2083247.5227.8–265.1149.4126–163.1
2084247.3228.3–266.8148128.2–164
2085246.5227.5–267.1149127.9–162.4
2086245.6227.7–266.5148127.4–167.1
2087245.5226.7–266.2146.4123.7–165.7
2088247229.4–266.9147.6133.5–165.3
2089248.1230–266.3148.4131.4–169.1
2090249228.9–266.4147.6132.4–168.8
2091248.9230–266.5151.9131.7–170.6
2092249.8232.3–267.8148.2132–167.4
2093248.1229–266.5154.1135.3–172.2
2094249.1230.6–268.4153.2133.6–170.3
2095251233.2–270148.2131.4–164.1
2096247.8231.4–269.3150.5130.5–172.6
2097251.1231.4–268149.8134.4–172.7
2098252.3230.8–268.3150.9131.3–170.1
2099248.7230.1–268.3149.5129–166.6
2100250.4232.9–266.7149.4130.1–168.5

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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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