印度与伊朗对比

印度与伊朗：热带夜

2014 年热带夜：印度为 215.5 夜，伊朗为 90.8 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 124.7 夜，是伊朗的 2.37 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度与伊朗：热带夜2014 年热带夜：印度为 215.5 夜，伊朗为 90.8 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 124.7 夜，是伊朗的 2.37 倍。
印度伊朗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，伊朗为 124.4 夜。

逐年数据

每年夜数 · CMIP6

年份印度伊朗
2014215.590.8
201321690.6
2012217.490.3
2011215.589.8
2010215.287
2009213.787.2
2008213.788
2007213.387.9
2006212.588.2
2005212.987.1
2004214.986.4
2003212.185.9
200221387.7
2001212.286.6
2000210.886.5
1999211.985.1
1998210.383.8
1997209.584.3
199620782.4
1995208.881.6
1994207.180.6
199320677.7
1992203.577
199120881.9
1990209.983.1
198920881.7
1988207.380.4
1987207.279.8
1986207.280.1
1985205.979.7
1984206.778.8
1983203.375.5
1982205.777.9
1981208.480.2
1980205.379.4
1979205.580.2
1978204.178.1
1977205.977.8
1976204.677.2
1975202.676.6
1974205.376.4
1973205.676.9
1972203.877.4
1971203.675
1970202.675.3
1969203.675.6
1968201.776.3
1967201.676.1
1966203.975.5
1965202.475.3
1964201.275.3
1963201.876.4
1962203.877.5
1961206.377.7
196020677.6
1959206.176.8
195820478.4
1957206.578.2
195620476.2
1955203.276.5
195420677.6
195320477.3
1952204.478.2
1951204.376.6
1950206.377.7
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度伊朗
2015216.9202.1–228.494.482.7–106
2016215202.5–227.694.183.1–105.3
2017216.2202.1–228.593.981.7–104
2018218.3204.5–231.494.183–106.3
2019217.4202.3–230.495.183.4–105.8
2020217.6203.1–23295.985.5–107.5
2021219.7204.5–233.297.286–107.7
2022220.5205.8–23396.285.2–108.3
2023220.4206.4–233.798.485.7–110.6
2024222.6208.1–236.39885.1–110.5
2025219.7202.7–236.298.787.2–110.5
2026220.2204.2–236.899.186.7–111.7
2027223.6207.1–239100.288.7–112.1
2028222.1205.1–235.799.686.2–111.6
2029225.4210–240.399.386.7–109.9
2030222.7207.3–235.6100.889.8–111.6
2031223.8207.1–237.8102.990.1–114.8
2032225.9210–240.5101.289–113.9
2033223.8209.3–235.4102.889.9–115.1
2034225.8210–242.7104.690.7–117.3
2035224.9210.6–240.910592.1–116.2
2036224.2210.4–240.3103.591.4–115.2
2037228.3213.6–242.610693.1–119.4
2038228.1212.6–241.4105.993.2–116.5
2039227.4211.9–242.8104.392.9–116.6
2040227212.2–242105.592.3–118.4
2041227.1210.7–240.5104.892.5–116.4
2042229.1214.8–244.2107.793.4–120.7
2043228.9214.5–24410692.9–118.8
2044229.7214.7–244.2106.893.6–121.2
2045231.2216.6–246.1108.795.1–121.8
2046232.6216.2–248.6109.296.1–121.9
2047232.4215.5–250110.596.9–123.3
2048235.6218.5–254.3111.498.6–124
2049235.3218.3–249.911095.7–123.4
2050233.5216.6–253.4112.199.6–125.1
2051234.9218.6–249.9111.797.6–124.1
2052234219.4–249.311298.3–126
2053234.9219.5–252.5111.597.5–124
2054237.2219.4–253.1111.899–126.3
2055237.2220.7–256.6114.6101.4–128
2056238.8221.2–254.9113.1100.2–126.2
2057235.7218.5–253.8113.899.9–128.9
2058238.8222.8–254.1114.2100–127.7
2059241.1224.9–256.2113.498.9–126.3
2060240.9225.6–255.6116.3100.3–129.5
2061237.9220.6–253.7115100.5–127.6
2062239.9221.2–259.7115.799.7–131.1
2063239.9222.3–256.1117103.7–130.3
2064240223.8–256.3115.1101.7–130.3
2065240.9222.9–257.3117.3102.8–132.3
2066241.5224.1–258.6117.7103.7–132.1
2067241.6224.8–257.9119103–133.5
2068242.3224.6–262.1118.1104.3–131.4
2069242.8225.4–259.1118.4103.8–133.2
2070240.1225.3–257.1118.2104.9–132.9
2071241.8223.7–260.2119.3105.1–135.3
2072242.6225.4–259.2119103.2–135.1
2073243.8228–259.3120.6104.9–137.7
2074241.6226.9–258.4119.1104.4–134.5
2075243.5226.4–258.2119.7105.9–135.5
2076243.2224.6–259.9118.9102.6–137
2077243.7226.6–264.6120.3104.3–135.3
2078246.7230.1–261.5119.2105.3–136
2079244.9226.4–261.3120.1103.2–135.6
2080246.7227–263.7120.4106.1–139.5
2081247.5230.4–264.8120.5104.3–137.1
2082244.6227.9–262.3122.5107.5–137.7
2083247.5227.8–265.1122.6105.8–140.4
2084247.3228.3–266.8123.7107.6–139.1
2085246.5227.5–267.1121.3106.6–140.6
2086245.6227.7–266.5122.1107.9–139.8
2087245.5226.7–266.2123.7108–140.7
2088247229.4–266.9124106.5–142.2
2089248.1230–266.3124.1109–139.7
2090249228.9–266.4122.5105.4–141.9
2091248.9230–266.5124.3108–140.5
2092249.8232.3–267.8125.5110.1–140
2093248.1229–266.5124.5109–139.3
2094249.1230.6–268.4125108.7–142.9
2095251233.2–270125.3108.5–141
2096247.8231.4–269.3125.8109–142.4
2097251.1231.4–268123.6106.9–141.8
2098252.3230.8–268.3125.8109.4–143.8
2099248.7230.1–268.3123.1107.8–140.1
2100250.4232.9–266.7124.4107.9–143.7

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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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