印度与肯尼亚对比

印度与肯尼亚:热带夜

2014 年热带夜:印度为 215.5 夜,肯尼亚为 245.6 夜(CMIP6 气候模型中位数模拟)。 2014 年肯尼亚的数值较高,高出 30.1 夜,是印度的 1.14 倍。

每年夜数 · CMIP6

印度与肯尼亚:热带夜2014 年热带夜:印度为 215.5 夜,肯尼亚为 245.6 夜(CMIP6 气候模型中位数模拟)。 2014 年肯尼亚的数值较高,高出 30.1 夜,是印度的 1.14 倍。
印度肯尼亚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,肯尼亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年印度为 250.4 夜,肯尼亚为 277 夜。

逐年数据

每年夜数 · CMIP6

年份印度肯尼亚
2014215.5245.6
2013216245.4
2012217.4244.7
2011215.5245
2010215.2243.8
2009213.7242.3
2008213.7240.3
2007213.3240.9
2006212.5241.5
2005212.9241.2
2004214.9241.8
2003212.1240.8
2002213240.7
2001212.2242
2000210.8239.5
1999211.9237.8
1998210.3239.2
1997209.5236.9
1996207234.2
1995208.8232.9
1994207.1231.9
1993206227.4
1992203.5224.8
1991208233.8
1990209.9236.4
1989208234.5
1988207.3233.1
1987207.2232.6
1986207.2233
1985205.9228.7
1984206.7230.2
1983203.3226.7
1982205.7230.6
1981208.4232.9
1980205.3231.3
1979205.5229.6
1978204.1228.7
1977205.9229.9
1976204.6227.8
1975202.6225.9
1974205.3230.5
1973205.6230.4
1972203.8228.7
1971203.6226
1970202.6226.3
1969203.6225.9
1968201.7222.9
1967201.6224
1966203.9225.2
1965202.4224.2
1964201.2221.8
1963201.8220.2
1962203.8227.2
1961206.3228.3
1960206228.8
1959206.1228.3
1958204229.1
1957206.5228
1956204225.5
1955203.2228.7
1954206227.4
1953204227.6
1952204.4228.5
1951204.3228.3
1950206.3226.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份印度肯尼亚
2015216.9202.1–228.4246.9232.3–256.1
2016215202.5–227.6244.9230.1–255
2017216.2202.1–228.5248.1233.1–257.7
2018218.3204.5–231.4248.7237–257.4
2019217.4202.3–230.4247.1234.8–256.7
2020217.6203.1–232248.6233.2–259.2
2021219.7204.5–233.2249.5236.3–258.1
2022220.5205.8–233251.5239.7–259.5
2023220.4206.4–233.7251.8239–260.8
2024222.6208.1–236.3254.2239.1–263
2025219.7202.7–236.2251.5238.1–261.8
2026220.2204.2–236.8252.2237.2–263.3
2027223.6207.1–239252.8238.4–263.8
2028222.1205.1–235.7254.9241.9–264.2
2029225.4210–240.3256243.4–264.6
2030222.7207.3–235.6253.6240.6–263.1
2031223.8207.1–237.8256244.7–264.4
2032225.9210–240.5257243.8–267.1
2033223.8209.3–235.4256241.8–265.9
2034225.8210–242.7256.2241.2–267.9
2035224.9210.6–240.9256.7243.3–266.7
2036224.2210.4–240.3256.2242.4–266.7
2037228.3213.6–242.6258.7245.9–268.4
2038228.1212.6–241.4260.3244.5–268.9
2039227.4211.9–242.8259244.4–268
2040227212.2–242258.3246.2–269.8
2041227.1210.7–240.5260.7244.8–271.2
2042229.1214.8–244.2260.3246.5–272.7
2043228.9214.5–244259246.6–270.5
2044229.7214.7–244.2261.2248.8–270.9
2045231.2216.6–246.1261.8248.7–272.9
2046232.6216.2–248.6264.8249.6–275.3
2047232.4215.5–250264.4249.8–275.3
2048235.6218.5–254.3264.2252.3–274.9
2049235.3218.3–249.9265.2252.8–275.6
2050233.5216.6–253.4263.9249.8–275.1
2051234.9218.6–249.9265.4252.1–275.1
2052234219.4–249.3266.3252.6–276.2
2053234.9219.5–252.5265.2251–275.4
2054237.2219.4–253.1265.2250.2–277.2
2055237.2220.7–256.6266.8251.6–277.6
2056238.8221.2–254.9266.2251.2–277.8
2057235.7218.5–253.8266.8253–278
2058238.8222.8–254.1266.7251.5–277.9
2059241.1224.9–256.2269.8254.7–280.5
2060240.9225.6–255.6271.1253.9–280.7
2061237.9220.6–253.7267.5253.9–281.7
2062239.9221.2–259.7268.1254–281.2
2063239.9222.3–256.1268.9255–280.1
2064240223.8–256.3270254.1–279.8
2065240.9222.9–257.3269.4255.8–282.3
2066241.5224.1–258.6270.6258.1–281
2067241.6224.8–257.9270.7256.1–283
2068242.3224.6–262.1270.2256–283
2069242.8225.4–259.1269.8256.1–283.3
2070240.1225.3–257.1270.1255.8–282.6
2071241.8223.7–260.2271.9257.9–284.4
2072242.6225.4–259.2273.5260.3–283.8
2073243.8228–259.3273.1259.9–285.4
2074241.6226.9–258.4271.9257.5–285.4
2075243.5226.4–258.2271.1256.5–284.7
2076243.2224.6–259.9274.1258.6–285.8
2077243.7226.6–264.6273.4259–286.6
2078246.7230.1–261.5273.1260–284.4
2079244.9226.4–261.3273.3258.7–286.6
2080246.7227–263.7275.5259.4–286.9
2081247.5230.4–264.8274.7259.8–285.6
2082244.6227.9–262.3274.8261.3–286.4
2083247.5227.8–265.1274259.6–289.3
2084247.3228.3–266.8276.8259–288.8
2085246.5227.5–267.1276.2261.5–289.1
2086245.6227.7–266.5275.1260–289.1
2087245.5226.7–266.2276.2260.3–288.5
2088247229.4–266.9276.8261.6–289.7
2089248.1230–266.3275.9260.3–288.8
2090249228.9–266.4275.3260.5–290.5
2091248.9230–266.5277.7260.4–290.9
2092249.8232.3–267.8276.2261.2–290.7
2093248.1229–266.5276.9262–290.1
2094249.1230.6–268.4277262.8–288.9
2095251233.2–270278.4262.3–290.4
2096247.8231.4–269.3277.6260.5–292
2097251.1231.4–268277261–290.2
2098252.3230.8–268.3277.6262.3–291.5
2099248.7230.1–268.3277.9260.8–292.4
2100250.4232.9–266.7277261.8–290.4

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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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