印度与沙特阿拉伯对比

印度与沙特阿拉伯：热带夜

2014 年热带夜：印度为 215.5 夜，沙特阿拉伯为 181.5 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 34 夜，是沙特阿拉伯的 1.19 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度与沙特阿拉伯：热带夜2014 年热带夜：印度为 215.5 夜，沙特阿拉伯为 181.5 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 34 夜，是沙特阿拉伯的 1.19 倍。
印度沙特阿拉伯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，沙特阿拉伯为 218.7 夜。

逐年数据

每年夜数 · CMIP6

年份印度沙特阿拉伯
2014215.5181.5
2013216180.4
2012217.4182.8
2011215.5182.7
2010215.2179.2
2009213.7177.1
2008213.7180.3
2007213.3178.9
2006212.5177.5
2005212.9177.9
2004214.9177.6
2003212.1177.4
2002213175.6
2001212.2178.1
2000210.8176.4
1999211.9173.2
1998210.3173.4
1997209.5173.8
1996207172
1995208.8169.2
1994207.1170.4
1993206164.6
1992203.5165.9
1991208169.2
1990209.9172.7
1989208168.9
1988207.3166.8
1987207.2167.3
1986207.2169.4
1985205.9166
1984206.7165
1983203.3163.5
1982205.7164.7
1981208.4168.9
1980205.3166.8
1979205.5165.3
1978204.1164.8
1977205.9165.6
1976204.6165.9
1975202.6161.2
1974205.3162.9
1973205.6163.7
1972203.8163.7
1971203.6160.4
1970202.6162.5
1969203.6161.3
1968201.7162.7
1967201.6159.5
1966203.9159.5
1965202.4159.5
1964201.2159.9
1963201.8160.2
1962203.8163.2
1961206.3163.7
1960206165.7
1959206.1164.4
1958204164.1
1957206.5165.5
1956204163.6
1955203.2162
1954206161.2
1953204162.5
1952204.4163.4
1951204.3161.2
1950206.3161.6
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度沙特阿拉伯
2015216.9202.1–228.4184.9169.4–198.7
2016215202.5–227.6183167.7–195.7
2017216.2202.1–228.5182.6168.1–196.7
2018218.3204.5–231.4186.8173.1–199.4
2019217.4202.3–230.4184.1168.8–199.1
2020217.6203.1–232185.3171.8–198.9
2021219.7204.5–233.2188.6173.6–202.8
2022220.5205.8–233187.6170.7–202
2023220.4206.4–233.7188.6173–203.8
2024222.6208.1–236.3187.1172.9–203.9
2025219.7202.7–236.2191.5176–206.1
2026220.2204.2–236.8191.8177.1–205.5
2027223.6207.1–239191.2176.6–206.8
2028222.1205.1–235.7191.9175.5–205.1
2029225.4210–240.3192.2176.6–205.7
2030222.7207.3–235.6193.3178.4–206.3
2031223.8207.1–237.8194.7179.1–207.6
2032225.9210–240.5192.2175.2–206
2033223.8209.3–235.4192.6177.5–206.9
2034225.8210–242.7196.7181.6–213
2035224.9210.6–240.9196.5179.9–211.6
2036224.2210.4–240.3194.1180–209.7
2037228.3213.6–242.6197183.7–209.9
2038228.1212.6–241.4198.4182.3–213.3
2039227.4211.9–242.8198184.4–213.6
2040227212.2–242199.2182.1–212.7
2041227.1210.7–240.5197.7181.4–211.7
2042229.1214.8–244.2198.3181.2–217
2043228.9214.5–244198.2182.3–215.3
2044229.7214.7–244.2199.2185.5–213.5
2045231.2216.6–246.1202187.1–216.8
2046232.6216.2–248.6204.1185.3–219.4
2047232.4215.5–250204.1187.4–220
2048235.6218.5–254.3206.1190.7–220
2049235.3218.3–249.9201.6187.7–216.2
2050233.5216.6–253.4205.7190.2–219.3
2051234.9218.6–249.9204.3188.8–222.1
2052234219.4–249.3203.8189.6–218
2053234.9219.5–252.5203.8186.3–218.8
2054237.2219.4–253.1207.6188.3–222.3
2055237.2220.7–256.6207.8190.8–221
2056238.8221.2–254.9203.7186.6–220.1
2057235.7218.5–253.8207.5188.8–224.2
2058238.8222.8–254.1205.9189.2–221.4
2059241.1224.9–256.2207.3191.6–226.9
2060240.9225.6–255.6206.9192.7–222.8
2061237.9220.6–253.7206.5190.4–220.9
2062239.9221.2–259.7208.1189.4–228.3
2063239.9222.3–256.1210.4193–227.1
2064240223.8–256.3207.5191.9–223.3
2065240.9222.9–257.3208.9193.9–226.1
2066241.5224.1–258.6210.3194.9–228
2067241.6224.8–257.9210.9193.1–228.6
2068242.3224.6–262.1209.8194.6–228.6
2069242.8225.4–259.1208.9194.5–226.3
2070240.1225.3–257.1211.2191.2–229
2071241.8223.7–260.2215.1196.3–233.3
2072242.6225.4–259.2213.6195.3–229.3
2073243.8228–259.3213.7194.1–231.6
2074241.6226.9–258.4210.5191.9–229.3
2075243.5226.4–258.2212.1196.6–231.8
2076243.2224.6–259.9212.8194.8–230.3
2077243.7226.6–264.6215.1196.6–233.9
2078246.7230.1–261.5215.5197.6–230.7
2079244.9226.4–261.3213.6197–229
2080246.7227–263.7213.6197.1–233.9
2081247.5230.4–264.8214.7194.4–231.6
2082244.6227.9–262.3214198.9–230.9
2083247.5227.8–265.1214.2198.5–238
2084247.3228.3–266.8217.4197.4–233.1
2085246.5227.5–267.1217.4199.6–237.9
2086245.6227.7–266.5217197.4–237.4
2087245.5226.7–266.2217.3199.7–238.7
2088247229.4–266.9216.1198.2–243.1
2089248.1230–266.3217.6199.5–239
2090249228.9–266.4217.3198.5–239.2
2091248.9230–266.5218.5202.8–238.4
2092249.8232.3–267.8218.5198.5–241.6
2093248.1229–266.5216.6197.8–236.3
2094249.1230.6–268.4218.8202–236.9
2095251233.2–270219.4204.2–237.4
2096247.8231.4–269.3219.9197.7–239.6
2097251.1231.4–268216.7196.8–239.7
2098252.3230.8–268.3219.7199.6–241.3
2099248.7230.1–268.3216.8200.8–236.8
2100250.4232.9–266.7218.7202.3–241

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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。

各图层如何运作、数据从何而来，以及它们无法告诉你什么： 历年各国数据

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