哥伦比亚与印度对比

哥伦比亚与印度：热带夜

2014 年热带夜：哥伦比亚为 279.9 夜，印度为 215.5 夜（CMIP6 气候模型中位数模拟）。 2014 年哥伦比亚的数值较高，高出 64.4 夜，是印度的 1.3 倍。

在地图上查看其变化

每年夜数 · CMIP6

哥伦比亚与印度：热带夜2014 年热带夜：哥伦比亚为 279.9 夜，印度为 215.5 夜（CMIP6 气候模型中位数模拟）。 2014 年哥伦比亚的数值较高，高出 64.4 夜，是印度的 1.3 倍。
哥伦比亚印度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，哥伦比亚的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年哥伦比亚为 297.4 夜，印度为 250.4 夜。

逐年数据

每年夜数 · CMIP6

年份哥伦比亚印度
2014279.9215.5
2013279.8216
2012280.7217.4
2011280215.5
2010279.1215.2
2009279.3213.7
2008278.4213.7
2007277.3213.3
2006277.5212.5
2005277.7212.9
2004278.2214.9
2003277.5212.1
2002277.3213
2001278212.2
2000276.2210.8
1999274.6211.9
1998275.2210.3
1997274.4209.5
1996271.2207
1995271.3208.8
1994270.4207.1
1993268206
1992264.7203.5
1991273.9208
1990275.6209.9
1989271.9208
1988270.3207.3
1987271.8207.2
1986271.4207.2
1985268.4205.9
1984268.2206.7
1983265.1203.3
1982269.2205.7
1981272.1208.4
1980270.2205.3
1979269.3205.5
1978268.3204.1
1977269.6205.9
1976266.1204.6
1975261.6202.6
1974266.6205.3
1973269.9205.6
1972266.6203.8
1971265.7203.6
1970265.4202.6
1969266203.6
1968264.6201.7
1967261.7201.6
1966263.7203.9
1965263.2202.4
1964260.3201.2
1963254.8201.8
1962266.7203.8
1961267206.3
1960268.6206
1959265.5206.1
1958268204
1957267.4206.5
1956263.3204
1955267.7203.2
1954267.2206
1953267.9204
1952268.1204.4
1951267.2204.3
1950266.5206.3
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份哥伦比亚印度
2015280.4265.9–286.4216.9202.1–228.4
2016279.9267.9–285.6215202.5–227.6
2017281.7270.6–286.3216.2202.1–228.5
2018281.5271.8–286.3218.3204.5–231.4
2019281.1269.5–286.9217.4202.3–230.4
2020282.1270.6–287.9217.6203.1–232
2021283.2273.9–287.8219.7204.5–233.2
2022283.7273.6–288.5220.5205.8–233
2023282.6274.2–288.8220.4206.4–233.7
2024284.7274.7–289.8222.6208.1–236.3
2025283.5273.3–289.7219.7202.7–236.2
2026283.4272.7–289.7220.2204.2–236.8
2027283.9273.4–289.2223.6207.1–239
2028285275.1–290.7222.1205.1–235.7
2029285.8276–290.3225.4210–240.3
2030284.2273.4–289.8222.7207.3–235.6
2031285.8274.8–291.2223.8207.1–237.8
2032286.7278.3–292.6225.9210–240.5
2033285.7274.7–290.3223.8209.3–235.4
2034285275.8–292.8225.8210–242.7
2035285.9277.3–292224.9210.6–240.9
2036286276.9–291.6224.2210.4–240.3
2037287.5279.3–291.9228.3213.6–242.6
2038288279.7–292.4228.1212.6–241.4
2039287.6278.8–292.7227.4211.9–242.8
2040287.6279.3–294.5227212.2–242
2041288.2279.9–292.7227.1210.7–240.5
2042288.2278.3–295229.1214.8–244.2
2043287.7277.7–293.4228.9214.5–244
2044287.8278.5–295.1229.7214.7–244.2
2045288.8280.5–293.9231.2216.6–246.1
2046290.4281–295.5232.6216.2–248.6
2047289.9280.6–294.6232.4215.5–250
2048290.7281.4–296.8235.6218.5–254.3
2049290.9282–295.3235.3218.3–249.9
2050290.1280.8–296233.5216.6–253.4
2051290.6280.9–295.7234.9218.6–249.9
2052290.9281.9–296.7234219.4–249.3
2053290.5280.8–296.3234.9219.5–252.5
2054290.8281.3–297.2237.2219.4–253.1
2055291.1282.6–298237.2220.7–256.6
2056291.5281.5–298.6238.8221.2–254.9
2057291.5281.2–297.3235.7218.5–253.8
2058291.8281.7–298.9238.8222.8–254.1
2059292.8282–299.2241.1224.9–256.2
2060293.2283–300.1240.9225.6–255.6
2061292.2281.9–298.7237.9220.6–253.7
2062292.6282.4–299.7239.9221.2–259.7
2063293.6282.3–298.6239.9222.3–256.1
2064292.7282.9–299.1240223.8–256.3
2065293.8283.6–299.4240.9222.9–257.3
2066293.1283.4–299.8241.5224.1–258.6
2067292.9281.8–299.6241.6224.8–257.9
2068294.2282.5–300.6242.3224.6–262.1
2069292.9282.4–300242.8225.4–259.1
2070292.9282.8–300.8240.1225.3–257.1
2071294.2282.8–301.5241.8223.7–260.2
2072294.9285.1–301.9242.6225.4–259.2
2073294.9285.5–302.2243.8228–259.3
2074293.9283.3–300.3241.6226.9–258.4
2075294.1283.2–300.6243.5226.4–258.2
2076294.9284.6–302243.2224.6–259.9
2077295.3284.3–301.9243.7226.6–264.6
2078294.4285–302246.7230.1–261.5
2079294.8283.7–301.8244.9226.4–261.3
2080295.1283.4–302.8246.7227–263.7
2081295.1284.8–302.6247.5230.4–264.8
2082295.1284.9–301.3244.6227.9–262.3
2083295.4284.5–304.6247.5227.8–265.1
2084296285.1–304.4247.3228.3–266.8
2085296.6285–305246.5227.5–267.1
2086295.6284.8–303.6245.6227.7–266.5
2087295.3284.1–303.4245.5226.7–266.2
2088295.9284.5–305.5247229.4–266.9
2089295.6285–304.5248.1230–266.3
2090295.7285.8–304.6249228.9–266.4
2091297285–304.9248.9230–266.5
2092296.8286–305.7249.8232.3–267.8
2093296.3285.6–305.3248.1229–266.5
2094296.4285.8–305249.1230.6–268.4
2095297.9285.6–304.9251233.2–270
2096296285.9–307.5247.8231.4–269.3
2097296.5284.8–303.4251.1231.4–268
2098296.6286–307.3252.3230.8–268.3
2099297284.6–305.4248.7230.1–268.3
2100297.4286.5–305.2250.4232.9–266.7

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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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