印度与阿拉伯联合酋长国对比

印度与阿拉伯联合酋长国：热带夜

2014 年热带夜：印度为 215.5 夜，阿拉伯联合酋长国为 215.2 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 0.3 夜，是阿拉伯联合酋长国的 1 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度与阿拉伯联合酋长国：热带夜2014 年热带夜：印度为 215.5 夜，阿拉伯联合酋长国为 215.2 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 0.3 夜，是阿拉伯联合酋长国的 1 倍。
印度阿拉伯联合酋长国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 2013 年超过阿拉伯联合酋长国以来，印度的数值一直更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年印度为 250.4 夜，阿拉伯联合酋长国为 252 夜。

逐年数据

每年夜数 · CMIP6

年份印度阿拉伯联合酋长国
2014215.5215.2
2013216215.5
2012217.4219.6
2011215.5218
2010215.2213.7
2009213.7212
2008213.7214.8
2007213.3215.8
2006212.5215.4
2005212.9212.2
2004214.9212.4
2003212.1213.4
2002213211.6
2001212.2211.6
2000210.8212.5
1999211.9211.7
1998210.3209.4
1997209.5210.8
1996207207.8
1995208.8206.6
1994207.1206.8
1993206204.2
1992203.5204.3
1991208206.7
1990209.9208.5
1989208205.9
1988207.3204
1987207.2203.6
1986207.2206.2
1985205.9204.1
1984206.7202.6
1983203.3200.4
1982205.7203.2
1981208.4205.1
1980205.3202.8
1979205.5203.2
1978204.1201.5
1977205.9202.2
1976204.6202.3
1975202.6199.3
1974205.3202
1973205.6200.9
1972203.8199.4
1971203.6197
1970202.6201.3
1969203.6199.8
1968201.7202.3
1967201.6197.7
1966203.9198
1965202.4200.5
1964201.2199.6
1963201.8197.9
1962203.8201.1
1961206.3200.6
1960206204.3
1959206.1202.6
1958204202.7
1957206.5203.2
1956204202.6
1955203.2201
1954206200.2
1953204200
1952204.4200.2
1951204.3198.9
1950206.3201.1
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度阿拉伯联合酋长国
2015216.9202.1–228.4221.6206.4–232
2016215202.5–227.6218.7207.6–229.7
2017216.2202.1–228.5218.3203.9–232.7
2018218.3204.5–231.4221.4209.2–237.6
2019217.4202.3–230.4218.7202.8–232.2
2020217.6203.1–232221.7206.9–233.5
2021219.7204.5–233.2224.6210.5–236.3
2022220.5205.8–233225.3206.9–235.7
2023220.4206.4–233.7225209.1–236.4
2024222.6208.1–236.3223.8205.2–240
2025219.7202.7–236.2226.3210.1–245
2026220.2204.2–236.8227.7214.2–244.9
2027223.6207.1–239227.6208.2–241.5
2028222.1205.1–235.7229.9210.9–241.3
2029225.4210–240.3225.1211–240
2030222.7207.3–235.6227.6216.2–240.9
2031223.8207.1–237.8229.3215.4–238.4
2032225.9210–240.5225.5211.9–240.5
2033223.8209.3–235.4224.2211.4–241.3
2034225.8210–242.7230.4213–245
2035224.9210.6–240.9231.6214.2–246.5
2036224.2210.4–240.3230217.2–247.1
2037228.3213.6–242.6232.6220.2–244.5
2038228.1212.6–241.4233.6213.5–248.4
2039227.4211.9–242.8231.4218.1–245.6
2040227212.2–242232.5214–246.4
2041227.1210.7–240.5230.4214.9–244.7
2042229.1214.8–244.2232.6213.3–249.6
2043228.9214.5–244233.9220.3–250.1
2044229.7214.7–244.2236.3223.3–250
2045231.2216.6–246.1236217.2–252
2046232.6216.2–248.6237.5219.3–255
2047232.4215.5–250240.9222.1–253
2048235.6218.5–254.3241.8226.1–256.9
2049235.3218.3–249.9233.7215.7–249.4
2050233.5216.6–253.4240.1226.8–250.9
2051234.9218.6–249.9240.9227.2–254.5
2052234219.4–249.3239.2228.3–256.1
2053234.9219.5–252.5241.4221.7–257.4
2054237.2219.4–253.1241.3223.5–256.1
2055237.2220.7–256.6240.5223.3–259.3
2056238.8221.2–254.9239.3220.5–258.9
2057235.7218.5–253.8242.2226.6–260.2
2058238.8222.8–254.1238.9224.7–255.4
2059241.1224.9–256.2244.2226.6–262.6
2060240.9225.6–255.6241227.4–255.2
2061237.9220.6–253.7239.9227.9–253.1
2062239.9221.2–259.7243.2227.3–264.4
2063239.9222.3–256.1245.3229.1–264.6
2064240223.8–256.3241.1225.2–258.6
2065240.9222.9–257.3244.3225.3–260.5
2066241.5224.1–258.6246230.8–261.7
2067241.6224.8–257.9245.4223–265.8
2068242.3224.6–262.1245.4232.6–266.7
2069242.8225.4–259.1244.6227.4–262.2
2070240.1225.3–257.1248.1225.9–266.5
2071241.8223.7–260.2248.6231–266
2072242.6225.4–259.2247.9230.2–267
2073243.8228–259.3247.9227.6–261.8
2074241.6226.9–258.4247.5227.3–270.8
2075243.5226.4–258.2251.8234.3–269.8
2076243.2224.6–259.9247.5228.7–266.1
2077243.7226.6–264.6252.9233.3–269.1
2078246.7230.1–261.5249.9234.1–264.7
2079244.9226.4–261.3247.6227.4–265.8
2080246.7227–263.7248232–267.9
2081247.5230.4–264.8250.7231–267.6
2082244.6227.9–262.3248.9235.3–266.8
2083247.5227.8–265.1248.6234.2–273.1
2084247.3228.3–266.8248.9228.9–268.2
2085246.5227.5–267.1253236.8–270.7
2086245.6227.7–266.5253.4234.9–273.3
2087245.5226.7–266.2252.9236.9–274.1
2088247229.4–266.9252.1231.1–276.1
2089248.1230–266.3253.4234.1–271.9
2090249228.9–266.4251.9236.4–274.5
2091248.9230–266.5254.8240.7–274.4
2092249.8232.3–267.8254.6232.1–275.1
2093248.1229–266.5250.9233.5–268.9
2094249.1230.6–268.4251.6236.6–270.8
2095251233.2–270252.4238.2–272
2096247.8231.4–269.3254.6236–272.6
2097251.1231.4–268251.4227.8–278
2098252.3230.8–268.3257.8237.5–278.8
2099248.7230.1–268.3252.5233.5–276.1
2100250.4232.9–266.7252236.2–276

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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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