巴西与坦桑尼亚：热带夜
2014 年热带夜：巴西为 282 夜，坦桑尼亚为 106.3 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 175.7 夜，是坦桑尼亚的 2.65 倍。
巴西坦桑尼亚
在地图上查看其变化每年夜数 · CMIP6
最新数据
每年夜数 · CMIP6
| 国家 | 最新 | 10 年前 | 预测值 |
|---|---|---|---|
| 巴西 | 282 2014 | 278.5 | 317.3 2100 |
| 坦桑尼亚 | 106.3 2014 | 100.4 | 208 2100 |
数据解读
- 自 1950 年以来，在两国都有数据的每一年，巴西的数值都更高。
- 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年巴西为 317.3 夜，坦桑尼亚为 208 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 巴西 | 坦桑尼亚 |
|---|---|---|
| 2014 | 282 | 106.3 |
| 2013 | 282.5 | 105.5 |
| 2012 | 283.6 | 108.4 |
| 2011 | 281.8 | 109 |
| 2010 | 280.2 | 103.9 |
| 2009 | 279.2 | 101.1 |
| 2008 | 277.8 | 100.3 |
| 2007 | 275.9 | 99.5 |
| 2006 | 275.4 | 100.4 |
| 2005 | 275.8 | 98.7 |
| 2004 | 278.5 | 100.4 |
| 2003 | 276.7 | 99.6 |
| 2002 | 276.2 | 98.4 |
| 2001 | 277.7 | 101.5 |
| 2000 | 273.3 | 94.9 |
| 1999 | 271 | 94.2 |
| 1998 | 273.6 | 96.8 |
| 1997 | 270.9 | 93.5 |
| 1996 | 264.7 | 89.6 |
| 1995 | 263.8 | 88.5 |
| 1994 | 263.6 | 85.4 |
| 1993 | 258.3 | 81.2 |
| 1992 | 252.8 | 80.1 |
| 1991 | 269.7 | 89.6 |
| 1990 | 272.5 | 91.1 |
| 1989 | 267.1 | 89.1 |
| 1988 | 264.7 | 87.6 |
| 1987 | 265.9 | 88.5 |
| 1986 | 265.7 | 89.4 |
| 1985 | 260.6 | 83 |
| 1984 | 261.1 | 83.1 |
| 1983 | 255.9 | 82.1 |
| 1982 | 264.8 | 84.8 |
| 1981 | 265.3 | 88 |
| 1980 | 262 | 85 |
| 1979 | 261.2 | 85.5 |
| 1978 | 259.7 | 82.9 |
| 1977 | 261.8 | 84.1 |
| 1976 | 258.4 | 81 |
| 1975 | 252.4 | 80.8 |
| 1974 | 258.7 | 82.2 |
| 1973 | 261 | 83.6 |
| 1972 | 258.1 | 81.4 |
| 1971 | 256.5 | 80.7 |
| 1970 | 254.5 | 81.8 |
| 1969 | 255.1 | 79.5 |
| 1968 | 254.9 | 79.1 |
| 1967 | 250.3 | 77.5 |
| 1966 | 254.5 | 78.1 |
| 1965 | 250.8 | 78 |
| 1964 | 246.2 | 73.8 |
| 1963 | 241.9 | 73.1 |
| 1962 | 257.9 | 81.1 |
| 1961 | 258.2 | 82.6 |
| 1960 | 260.3 | 83.9 |
| 1959 | 255.7 | 81.4 |
| 1958 | 258.1 | 82.1 |
| 1957 | 256.6 | 80.9 |
| 1956 | 251.2 | 80 |
| 1955 | 257.2 | 81.6 |
| 1954 | 258 | 81.4 |
| 1953 | 255.2 | 80.6 |
| 1952 | 255.8 | 81.4 |
| 1951 | 256.3 | 82.1 |
| 1950 | 254.4 | 80.7 |
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
| 年份 | 巴西 | 坦桑尼亚 |
|---|---|---|
| 2015 | 284257.6–299.5 | 114.895.2–137.4 |
| 2016 | 281.5261.4–296.3 | 108.391.6–125.6 |
| 2017 | 284.1263.2–297.8 | 114.893.6–137.8 |
| 2018 | 283.4263.1–298.8 | 116.497.4–137.1 |
| 2019 | 283.7262.9–302.4 | 113.495.2–133.2 |
| 2020 | 286.3264.2–303.6 | 119.396.2–143.5 |
| 2021 | 287.9266.9–302.3 | 119.5100.9–147.1 |
| 2022 | 289.6270.7–303.9 | 124.4105.3–147.4 |
| 2023 | 287.3270.5–303 | 122.1102.1–147.8 |
| 2024 | 291.5268.2–304.6 | 126.2100–150.1 |
| 2025 | 289.6269.1–304.8 | 124.6100.9–154 |
| 2026 | 289.7266.2–305.1 | 126.999.1–155.6 |
| 2027 | 289.5269.1–303.7 | 128102.9–147.7 |
| 2028 | 291.2271.9–306 | 129.9106.4–152.1 |
| 2029 | 295.5276.3–309.6 | 134.1111–156.5 |
| 2030 | 292.2269.1–306.9 | 129.4106.4–151.1 |
| 2031 | 295.3274–308.9 | 136.4115.9–158.4 |
| 2032 | 296.8280.1–310.9 | 135.1114–166.8 |
| 2033 | 295.4273.3–308.5 | 135.2110.9–161.9 |
| 2034 | 294.3273.5–311.8 | 134.7112.5–166.3 |
| 2035 | 295.2274.4–310.9 | 140.2114.6–165 |
| 2036 | 295.1278.2–307.8 | 137.8113.3–165.5 |
| 2037 | 299.9283.7–311.3 | 142.9121.5–168.9 |
| 2038 | 299.6283.5–312.1 | 147.9124.3–169.3 |
| 2039 | 296.9279.9–311 | 144.3117.6–171.3 |
| 2040 | 298.5279.4–311.9 | 140.5117–178 |
| 2041 | 301.4282.2–314.1 | 149.1121.7–175.6 |
| 2042 | 300.6277.8–314.7 | 146.3120.5–185.3 |
| 2043 | 298.2279.8–312.7 | 144.6117–173 |
| 2044 | 300.3281.2–315.6 | 147.7121.2–175.8 |
| 2045 | 299.9279.7–313.1 | 150.1125.2–183.4 |
| 2046 | 302.8285.8–316.6 | 161.5128.6–192.2 |
| 2047 | 303.3285–316.4 | 160.2129.7–194.4 |
| 2048 | 304.4287.3–317.3 | 158.8132.7–193.1 |
| 2049 | 305.4288.4–318.5 | 157.6131.1–196 |
| 2050 | 303.9283.9–316.2 | 159.7127.8–192 |
| 2051 | 305.7287.5–317.5 | 163.2135.5–197.8 |
| 2052 | 305.9290.6–318.8 | 161.9136.2–199.1 |
| 2053 | 305.3285.9–317.5 | 160.6127.5–197.7 |
| 2054 | 306.1288.4–319.3 | 163.2131.5–200.2 |
| 2055 | 306.4290.8–319.8 | 167.4137–208.3 |
| 2056 | 306.7288.3–321.1 | 166.4130.8–209.7 |
| 2057 | 306.4287.6–321.1 | 168134.6–208.3 |
| 2058 | 309291–321.4 | 168.7134.9–210.3 |
| 2059 | 310.4290.7–322.8 | 174.7144.9–219.5 |
| 2060 | 311.6294.4–325.1 | 181.7138.1–219.8 |
| 2061 | 307.5290.3–321.2 | 171.8135.5–218.1 |
| 2062 | 309291.5–322.8 | 177.5139.9–224 |
| 2063 | 310.8290.6–322.8 | 181.4140.1–213.8 |
| 2064 | 309.6290.2–321.1 | 185.3140.1–215.2 |
| 2065 | 311.1291.6–323.1 | 183.5141.1–221.8 |
| 2066 | 312.2294.2–324.2 | 181.9146.3–219.3 |
| 2067 | 310.9291.5–323.3 | 178.8138.8–229.2 |
| 2068 | 311.5293–324.5 | 186144.2–228.4 |
| 2069 | 310.6292.2–323.6 | 183.7141.7–225.3 |
| 2070 | 312.7293–325.3 | 180.7140.4–228.2 |
| 2071 | 311.5292.1–323.9 | 184.9146.9–235.2 |
| 2072 | 313.3297.8–325.5 | 191.3155–226.1 |
| 2073 | 313.8298.6–327.2 | 191.6152.4–235.6 |
| 2074 | 311.4292.4–323.5 | 183.3149.7–231.7 |
| 2075 | 310.9291.5–324.5 | 183.8144.8–233 |
| 2076 | 314.2294.4–327.7 | 191.1150.9–233.2 |
| 2077 | 315.1295.6–326.8 | 191.3152.6–238.2 |
| 2078 | 314.9296.3–327.1 | 189156.6–233.8 |
| 2079 | 313292.8–326.8 | 190.5147–237.3 |
| 2080 | 311.9294.7–325.4 | 197.3150.7–241.2 |
| 2081 | 313.5295.5–325.6 | 195.6153.4–237.4 |
| 2082 | 315296.8–327.1 | 194.5157.3–237.3 |
| 2083 | 315.7295.3–328.7 | 193.2151–249.8 |
| 2084 | 316.6298.5–327.9 | 201.1152.2–246.7 |
| 2085 | 317.4299.3–329.8 | 204.2162.3–252.3 |
| 2086 | 315.8294–328 | 195156–248.7 |
| 2087 | 316.5297.9–328.5 | 196.7160.8–244.5 |
| 2088 | 315.6297.3–328.8 | 208.4154.7–246.9 |
| 2089 | 315296.6–327.9 | 201.3158.6–248.2 |
| 2090 | 316298.9–330.3 | 197.9160.7–253.6 |
| 2091 | 317298.1–330.6 | 210161.6–256 |
| 2092 | 317.6298.7–330.7 | 205.8158.3–253.6 |
| 2093 | 316.3297.5–328.6 | 207.2161.2–251.9 |
| 2094 | 316.4300.2–327.5 | 207.9161.3–250.6 |
| 2095 | 319299.8–330.7 | 214.2166.4–258.5 |
| 2096 | 317.7299.5–330.8 | 205.3159.8–257.4 |
| 2097 | 316.9297.8–329 | 206.6158.4–256.8 |
| 2098 | 318.6299.9–331.9 | 209.1161–258.3 |
| 2099 | 318.1300–330.2 | 208.5160.1–256 |
| 2100 | 317.3298.4–330.3 | 208158.6–258.6 |
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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。
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