印度与越南对比

印度与越南：热带夜

2014 年热带夜：印度为 215.5 夜，越南为 242.6 夜（CMIP6 气候模型中位数模拟）。 2014 年越南的数值较高，高出 27.1 夜，是印度的 1.13 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度与越南：热带夜2014 年热带夜：印度为 215.5 夜，越南为 242.6 夜（CMIP6 气候模型中位数模拟）。 2014 年越南的数值较高，高出 27.1 夜，是印度的 1.13 倍。
印度越南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，越南的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年印度为 250.4 夜，越南为 282.7 夜。

逐年数据

每年夜数 · CMIP6

年份印度越南
2014215.5242.6
2013216243.6
2012217.4242.4
2011215.5241.9
2010215.2240.9
2009213.7240
2008213.7238.7
2007213.3238
2006212.5239.1
2005212.9238.3
2004214.9241.8
2003212.1235.9
2002213236.3
2001212.2241.3
2000210.8237
1999211.9236
1998210.3236.8
1997209.5237.1
1996207231.4
1995208.8229.9
1994207.1231.2
1993206225.3
1992203.5221.9
1991208229.8
1990209.9233.1
1989208229.2
1988207.3231.7
1987207.2230.3
1986207.2230.9
1985205.9228
1984206.7230.2
1983203.3224.9
1982205.7227.5
1981208.4229.7
1980205.3228.1
1979205.5228.9
1978204.1227.5
1977205.9229
1976204.6225.8
1975202.6225.8
1974205.3225.7
1973205.6230.3
1972203.8225.6
1971203.6225.5
1970202.6226.1
1969203.6227
1968201.7227.1
1967201.6222.9
1966203.9226.8
1965202.4225.4
1964201.2222.6
1963201.8224.3
1962203.8227.8
1961206.3229.4
1960206228.5
1959206.1226.2
1958204230.9
1957206.5228.4
1956204228.7
1955203.2227.5
1954206226.3
1953204228.2
1952204.4228.5
1951204.3229.2
1950206.3228.9
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度越南
2015216.9202.1–228.4245.8228.2–261.9
2016215202.5–227.6243.7226.1–259.4
2017216.2202.1–228.5247229.6–260.7
2018218.3204.5–231.4248.3228.8–263.3
2019217.4202.3–230.4248.1229.2–262.8
2020217.6203.1–232248.8229.6–262.9
2021219.7204.5–233.2251.1233.1–266.7
2022220.5205.8–233252.4234.3–266.8
2023220.4206.4–233.7253.4235.4–266.6
2024222.6208.1–236.3251.3236.7–264.6
2025219.7202.7–236.2252.4234.1–266.2
2026220.2204.2–236.8252.8232.9–268.5
2027223.6207.1–239253.2237–268.8
2028222.1205.1–235.7254.3237.7–272
2029225.4210–240.3258.1238.5–273.7
2030222.7207.3–235.6256.4240.9–270.1
2031223.8207.1–237.8255.9241.2–270.9
2032225.9210–240.5257.4239.1–269.9
2033223.8209.3–235.4258.3241.7–273.2
2034225.8210–242.7258.8240.7–275.8
2035224.9210.6–240.9258.6242.5–275.4
2036224.2210.4–240.3258.3239.1–273.8
2037228.3213.6–242.6258.7242.4–272.4
2038228.1212.6–241.4263.4247.6–277.3
2039227.4211.9–242.8260.2243.7–275.9
2040227212.2–242260.1242.8–274.8
2041227.1210.7–240.5263.1245.9–279
2042229.1214.8–244.2263.6246.5–279
2043228.9214.5–244261.4245.5–279.6
2044229.7214.7–244.2263.2245.2–277.6
2045231.2216.6–246.1265.5249.6–281.4
2046232.6216.2–248.6264.9246.8–278.1
2047232.4215.5–250266.9250.4–282.9
2048235.6218.5–254.3268250.5–283.8
2049235.3218.3–249.9267.8251.2–284.8
2050233.5216.6–253.4268251.2–283.5
2051234.9218.6–249.9270.9254.3–285.4
2052234219.4–249.3268.3253.3–282.8
2053234.9219.5–252.5268.5250.1–283.2
2054237.2219.4–253.1269.1250.8–283.6
2055237.2220.7–256.6270249.8–284.2
2056238.8221.2–254.9271.7254.8–290.1
2057235.7218.5–253.8270253–285.7
2058238.8222.8–254.1270.7252.9–286.5
2059241.1224.9–256.2273257.6–286.6
2060240.9225.6–255.6275.7255.6–290.6
2061237.9220.6–253.7273.5254.6–289.5
2062239.9221.2–259.7271.4253.1–290.2
2063239.9222.3–256.1272.9252.7–288.1
2064240223.8–256.3273.8254.4–288.1
2065240.9222.9–257.3272255.8–286.3
2066241.5224.1–258.6271.8254.4–287.3
2067241.6224.8–257.9270.8252.1–287.6
2068242.3224.6–262.1275.6256.9–292.4
2069242.8225.4–259.1276.4258.5–292
2070240.1225.3–257.1274.6257.8–292.8
2071241.8223.7–260.2276.2255.2–294.1
2072242.6225.4–259.2277256.8–291.4
2073243.8228–259.3278.5262.7–293.4
2074241.6226.9–258.4277.6259.2–295.8
2075243.5226.4–258.2276.4258.7–294.4
2076243.2224.6–259.9279.2258.5–296.6
2077243.7226.6–264.6280264.9–294.7
2078246.7230.1–261.5278.4258.6–295.5
2079244.9226.4–261.3279.3263.4–293.6
2080246.7227–263.7280261.4–296.5
2081247.5230.4–264.8280.4261.2–297.9
2082244.6227.9–262.3280.9258.9–296
2083247.5227.8–265.1278.4261.6–295
2084247.3228.3–266.8279257.4–293.8
2085246.5227.5–267.1281.3265–297.8
2086245.6227.7–266.5282.3260.2–297.5
2087245.5226.7–266.2281.9261.3–300.7
2088247229.4–266.9283.1265.7–301.5
2089248.1230–266.3280.8261.2–301.6
2090249228.9–266.4280.5264.5–297.6
2091248.9230–266.5283.3264.3–298.9
2092249.8232.3–267.8281.1261.5–299.4
2093248.1229–266.5280.5263.4–296.1
2094249.1230.6–268.4283264.5–300
2095251233.2–270285.5264.5–302.9
2096247.8231.4–269.3281.8264.8–299.8
2097251.1231.4–268281.5263.3–299
2098252.3230.8–268.3282.5263.9–301.5
2099248.7230.1–268.3282.7265.1–298
2100250.4232.9–266.7282.7261–298.2

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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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