印度与坦桑尼亚对比

印度与坦桑尼亚：热带夜

2014 年热带夜：印度为 215.5 夜，坦桑尼亚为 106.3 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 109.2 夜，是坦桑尼亚的 2.03 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度与坦桑尼亚：热带夜2014 年热带夜：印度为 215.5 夜，坦桑尼亚为 106.3 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 109.2 夜，是坦桑尼亚的 2.03 倍。
印度坦桑尼亚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，坦桑尼亚为 208 夜。

逐年数据

每年夜数 · CMIP6

年份印度坦桑尼亚
2014215.5106.3
2013216105.5
2012217.4108.4
2011215.5109
2010215.2103.9
2009213.7101.1
2008213.7100.3
2007213.399.5
2006212.5100.4
2005212.998.7
2004214.9100.4
2003212.199.6
200221398.4
2001212.2101.5
2000210.894.9
1999211.994.2
1998210.396.8
1997209.593.5
199620789.6
1995208.888.5
1994207.185.4
199320681.2
1992203.580.1
199120889.6
1990209.991.1
198920889.1
1988207.387.6
1987207.288.5
1986207.289.4
1985205.983
1984206.783.1
1983203.382.1
1982205.784.8
1981208.488
1980205.385
1979205.585.5
1978204.182.9
1977205.984.1
1976204.681
1975202.680.8
1974205.382.2
1973205.683.6
1972203.881.4
1971203.680.7
1970202.681.8
1969203.679.5
1968201.779.1
1967201.677.5
1966203.978.1
1965202.478
1964201.273.8
1963201.873.1
1962203.881.1
1961206.382.6
196020683.9
1959206.181.4
195820482.1
1957206.580.9
195620480
1955203.281.6
195420681.4
195320480.6
1952204.481.4
1951204.382.1
1950206.380.7
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度坦桑尼亚
2015216.9202.1–228.4114.895.2–137.4
2016215202.5–227.6108.391.6–125.6
2017216.2202.1–228.5114.893.6–137.8
2018218.3204.5–231.4116.497.4–137.1
2019217.4202.3–230.4113.495.2–133.2
2020217.6203.1–232119.396.2–143.5
2021219.7204.5–233.2119.5100.9–147.1
2022220.5205.8–233124.4105.3–147.4
2023220.4206.4–233.7122.1102.1–147.8
2024222.6208.1–236.3126.2100–150.1
2025219.7202.7–236.2124.6100.9–154
2026220.2204.2–236.8126.999.1–155.6
2027223.6207.1–239128102.9–147.7
2028222.1205.1–235.7129.9106.4–152.1
2029225.4210–240.3134.1111–156.5
2030222.7207.3–235.6129.4106.4–151.1
2031223.8207.1–237.8136.4115.9–158.4
2032225.9210–240.5135.1114–166.8
2033223.8209.3–235.4135.2110.9–161.9
2034225.8210–242.7134.7112.5–166.3
2035224.9210.6–240.9140.2114.6–165
2036224.2210.4–240.3137.8113.3–165.5
2037228.3213.6–242.6142.9121.5–168.9
2038228.1212.6–241.4147.9124.3–169.3
2039227.4211.9–242.8144.3117.6–171.3
2040227212.2–242140.5117–178
2041227.1210.7–240.5149.1121.7–175.6
2042229.1214.8–244.2146.3120.5–185.3
2043228.9214.5–244144.6117–173
2044229.7214.7–244.2147.7121.2–175.8
2045231.2216.6–246.1150.1125.2–183.4
2046232.6216.2–248.6161.5128.6–192.2
2047232.4215.5–250160.2129.7–194.4
2048235.6218.5–254.3158.8132.7–193.1
2049235.3218.3–249.9157.6131.1–196
2050233.5216.6–253.4159.7127.8–192
2051234.9218.6–249.9163.2135.5–197.8
2052234219.4–249.3161.9136.2–199.1
2053234.9219.5–252.5160.6127.5–197.7
2054237.2219.4–253.1163.2131.5–200.2
2055237.2220.7–256.6167.4137–208.3
2056238.8221.2–254.9166.4130.8–209.7
2057235.7218.5–253.8168134.6–208.3
2058238.8222.8–254.1168.7134.9–210.3
2059241.1224.9–256.2174.7144.9–219.5
2060240.9225.6–255.6181.7138.1–219.8
2061237.9220.6–253.7171.8135.5–218.1
2062239.9221.2–259.7177.5139.9–224
2063239.9222.3–256.1181.4140.1–213.8
2064240223.8–256.3185.3140.1–215.2
2065240.9222.9–257.3183.5141.1–221.8
2066241.5224.1–258.6181.9146.3–219.3
2067241.6224.8–257.9178.8138.8–229.2
2068242.3224.6–262.1186144.2–228.4
2069242.8225.4–259.1183.7141.7–225.3
2070240.1225.3–257.1180.7140.4–228.2
2071241.8223.7–260.2184.9146.9–235.2
2072242.6225.4–259.2191.3155–226.1
2073243.8228–259.3191.6152.4–235.6
2074241.6226.9–258.4183.3149.7–231.7
2075243.5226.4–258.2183.8144.8–233
2076243.2224.6–259.9191.1150.9–233.2
2077243.7226.6–264.6191.3152.6–238.2
2078246.7230.1–261.5189156.6–233.8
2079244.9226.4–261.3190.5147–237.3
2080246.7227–263.7197.3150.7–241.2
2081247.5230.4–264.8195.6153.4–237.4
2082244.6227.9–262.3194.5157.3–237.3
2083247.5227.8–265.1193.2151–249.8
2084247.3228.3–266.8201.1152.2–246.7
2085246.5227.5–267.1204.2162.3–252.3
2086245.6227.7–266.5195156–248.7
2087245.5226.7–266.2196.7160.8–244.5
2088247229.4–266.9208.4154.7–246.9
2089248.1230–266.3201.3158.6–248.2
2090249228.9–266.4197.9160.7–253.6
2091248.9230–266.5210161.6–256
2092249.8232.3–267.8205.8158.3–253.6
2093248.1229–266.5207.2161.2–251.9
2094249.1230.6–268.4207.9161.3–250.6
2095251233.2–270214.2166.4–258.5
2096247.8231.4–269.3205.3159.8–257.4
2097251.1231.4–268206.6158.4–256.8
2098252.3230.8–268.3209.1161–258.3
2099248.7230.1–268.3208.5160.1–256
2100250.4232.9–266.7208158.6–258.6

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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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