不丹与印度对比
不丹与印度：热带夜
2014 年热带夜：不丹为 18.5 夜，印度为 215.5 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 197.1 夜，是不丹的 12 倍。
每年夜数 · CMIP6
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 年不丹为 34 夜，印度为 250.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 不丹 | 印度 |
|---|---|---|
| 2014 | 18.5 | 215.5 |
| 2013 | 18.2 | 216 |
| 2012 | 17.6 | 217.4 |
| 2011 | 16.9 | 215.5 |
| 2010 | 17.7 | 215.2 |
| 2009 | 16.7 | 213.7 |
| 2008 | 16.5 | 213.7 |
| 2007 | 16.2 | 213.3 |
| 2006 | 16.5 | 212.5 |
| 2005 | 16.6 | 212.9 |
| 2004 | 16.2 | 214.9 |
| 2003 | 16.1 | 212.1 |
| 2002 | 16.1 | 213 |
| 2001 | 16.1 | 212.2 |
| 2000 | 15.7 | 210.8 |
| 1999 | 15.4 | 211.9 |
| 1998 | 15.5 | 210.3 |
| 1997 | 15.2 | 209.5 |
| 1996 | 13.7 | 207 |
| 1995 | 13.4 | 208.8 |
| 1994 | 13.5 | 207.1 |
| 1993 | 12.4 | 206 |
| 1992 | 11.7 | 203.5 |
| 1991 | 15.1 | 208 |
| 1990 | 14.8 | 209.9 |
| 1989 | 13.8 | 208 |
| 1988 | 13.4 | 207.3 |
| 1987 | 13.6 | 207.2 |
| 1986 | 13.6 | 207.2 |
| 1985 | 13.4 | 205.9 |
| 1984 | 13 | 206.7 |
| 1983 | 12.1 | 203.3 |
| 1982 | 13.2 | 205.7 |
| 1981 | 13.3 | 208.4 |
| 1980 | 13 | 205.3 |
| 1979 | 13 | 205.5 |
| 1978 | 12.6 | 204.1 |
| 1977 | 12.8 | 205.9 |
| 1976 | 13.1 | 204.6 |
| 1975 | 12.5 | 202.6 |
| 1974 | 13.1 | 205.3 |
| 1973 | 12.9 | 205.6 |
| 1972 | 12.2 | 203.8 |
| 1971 | 12.6 | 203.6 |
| 1970 | 12.2 | 202.6 |
| 1969 | 12.3 | 203.6 |
| 1968 | 12.4 | 201.7 |
| 1967 | 11.9 | 201.6 |
| 1966 | 12.7 | 203.9 |
| 1965 | 12.1 | 202.4 |
| 1964 | 11.9 | 201.2 |
| 1963 | 12.1 | 201.8 |
| 1962 | 13.2 | 203.8 |
| 1961 | 13.2 | 206.3 |
| 1960 | 13.1 | 206 |
| 1959 | 13.4 | 206.1 |
| 1958 | 13.1 | 204 |
| 1957 | 13.2 | 206.5 |
| 1956 | 12.9 | 204 |
| 1955 | 13.2 | 203.2 |
| 1954 | 12.9 | 206 |
| 1953 | 12.9 | 204 |
| 1952 | 13.3 | 204.4 |
| 1951 | 13.4 | 204.3 |
| 1950 | 12.9 | 206.3 |
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
| 年份 | 不丹 | 印度 |
|---|---|---|
| 2015 | 17.413.4–22.5 | 216.9202.1–228.4 |
| 2016 | 1812.6–22 | 215202.5–227.6 |
| 2017 | 18.714–22.7 | 216.2202.1–228.5 |
| 2018 | 17.914.3–22.1 | 218.3204.5–231.4 |
| 2019 | 18.513–23.2 | 217.4202.3–230.4 |
| 2020 | 18.713.9–24.4 | 217.6203.1–232 |
| 2021 | 19.415.2–23.6 | 219.7204.5–233.2 |
| 2022 | 19.616–23.8 | 220.5205.8–233 |
| 2023 | 20.716.1–25.6 | 220.4206.4–233.7 |
| 2024 | 20.616–26.1 | 222.6208.1–236.3 |
| 2025 | 2015.7–27.4 | 219.7202.7–236.2 |
| 2026 | 20.515.2–26.5 | 220.2204.2–236.8 |
| 2027 | 20.315.9–25.7 | 223.6207.1–239 |
| 2028 | 21.116.8–27.3 | 222.1205.1–235.7 |
| 2029 | 2116.5–27.9 | 225.4210–240.3 |
| 2030 | 21.116.2–26 | 222.7207.3–235.6 |
| 2031 | 21.415.6–26.5 | 223.8207.1–237.8 |
| 2032 | 2217.7–26.6 | 225.9210–240.5 |
| 2033 | 21.917.6–26.3 | 223.8209.3–235.4 |
| 2034 | 21.818.3–26.9 | 225.8210–242.7 |
| 2035 | 22.717.8–29.6 | 224.9210.6–240.9 |
| 2036 | 22.418.2–28.1 | 224.2210.4–240.3 |
| 2037 | 23.919.2–28.5 | 228.3213.6–242.6 |
| 2038 | 24.220.3–30.4 | 228.1212.6–241.4 |
| 2039 | 24.419.8–29.5 | 227.4211.9–242.8 |
| 2040 | 24.119.6–30.6 | 227212.2–242 |
| 2041 | 25.420.9–30.9 | 227.1210.7–240.5 |
| 2042 | 25.519.8–31.7 | 229.1214.8–244.2 |
| 2043 | 24.519.5–30.9 | 228.9214.5–244 |
| 2044 | 2519.6–30.5 | 229.7214.7–244.2 |
| 2045 | 25.219.9–30.9 | 231.2216.6–246.1 |
| 2046 | 26.119.4–32.3 | 232.6216.2–248.6 |
| 2047 | 25.820.3–31.1 | 232.4215.5–250 |
| 2048 | 26.820.8–32.8 | 235.6218.5–254.3 |
| 2049 | 26.722.4–33.4 | 235.3218.3–249.9 |
| 2050 | 27.321.2–33.6 | 233.5216.6–253.4 |
| 2051 | 27.422.2–34.2 | 234.9218.6–249.9 |
| 2052 | 27.322.1–33.9 | 234219.4–249.3 |
| 2053 | 26.722.5–32.6 | 234.9219.5–252.5 |
| 2054 | 27.522.7–33.6 | 237.2219.4–253.1 |
| 2055 | 27.923.2–34.2 | 237.2220.7–256.6 |
| 2056 | 2822.9–34.8 | 238.8221.2–254.9 |
| 2057 | 28.622.2–34.8 | 235.7218.5–253.8 |
| 2058 | 28.123.1–36.3 | 238.8222.8–254.1 |
| 2059 | 28.323.4–36.1 | 241.1224.9–256.2 |
| 2060 | 30.123.7–35.4 | 240.9225.6–255.6 |
| 2061 | 28.724.1–34.7 | 237.9220.6–253.7 |
| 2062 | 29.622.9–36.3 | 239.9221.2–259.7 |
| 2063 | 29.523.7–36.7 | 239.9222.3–256.1 |
| 2064 | 29.323.2–35.4 | 240223.8–256.3 |
| 2065 | 29.324.2–36.3 | 240.9222.9–257.3 |
| 2066 | 30.224.1–36.5 | 241.5224.1–258.6 |
| 2067 | 29.623.6–35.8 | 241.6224.8–257.9 |
| 2068 | 30.422.8–37.3 | 242.3224.6–262.1 |
| 2069 | 30.523.7–36.5 | 242.8225.4–259.1 |
| 2070 | 30.324.5–36.1 | 240.1225.3–257.1 |
| 2071 | 31.224.2–37.3 | 241.8223.7–260.2 |
| 2072 | 31.224–37.3 | 242.6225.4–259.2 |
| 2073 | 31.425.4–38.3 | 243.8228–259.3 |
| 2074 | 30.625–38.4 | 241.6226.9–258.4 |
| 2075 | 30.624.1–38.5 | 243.5226.4–258.2 |
| 2076 | 31.225.3–37.8 | 243.2224.6–259.9 |
| 2077 | 31.626.1–39.2 | 243.7226.6–264.6 |
| 2078 | 31.526.7–38.7 | 246.7230.1–261.5 |
| 2079 | 31.525.1–38.1 | 244.9226.4–261.3 |
| 2080 | 32.626.5–37.7 | 246.7227–263.7 |
| 2081 | 32.327.1–39.8 | 247.5230.4–264.8 |
| 2082 | 32.525.8–39 | 244.6227.9–262.3 |
| 2083 | 32.526.5–40.9 | 247.5227.8–265.1 |
| 2084 | 32.926.4–41.3 | 247.3228.3–266.8 |
| 2085 | 33.328–41.5 | 246.5227.5–267.1 |
| 2086 | 33.627.3–40.5 | 245.6227.7–266.5 |
| 2087 | 33.127.1–40.1 | 245.5226.7–266.2 |
| 2088 | 33.427.6–41.2 | 247229.4–266.9 |
| 2089 | 32.928.3–40.8 | 248.1230–266.3 |
| 2090 | 33.628.4–40.2 | 249228.9–266.4 |
| 2091 | 34.328.3–41.5 | 248.9230–266.5 |
| 2092 | 34.128–42.1 | 249.8232.3–267.8 |
| 2093 | 33.928.3–42 | 248.1229–266.5 |
| 2094 | 33.828–41.5 | 249.1230.6–268.4 |
| 2095 | 34.329.5–40.8 | 251233.2–270 |
| 2096 | 3428–42.1 | 247.8231.4–269.3 |
| 2097 | 3327.7–41.5 | 251.1231.4–268 |
| 2098 | 34.227.2–41.8 | 252.3230.8–268.3 |
| 2099 | 33.928.4–41.5 | 248.7230.1–268.3 |
| 2100 | 3428.3–42.1 | 250.4232.9–266.7 |
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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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