阿塞拜疆与格鲁吉亚：热带夜

2014 年热带夜：阿塞拜疆为 41.5 夜，格鲁吉亚为 8.9 夜（CMIP6 气候模型中位数模拟）。 2014 年阿塞拜疆的数值较高，高出 32.5 夜，是格鲁吉亚的 4.65 倍。

每年夜数 · CMIP6

阿塞拜疆格鲁吉亚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，阿塞拜疆的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年阿塞拜疆为 71.5 夜，格鲁吉亚为 26.2 夜。

逐年数据

每年夜数 · CMIP6

年份	阿塞拜疆	格鲁吉亚
2014	41.5	8.9
2013	41.4	8.5
2012	40.9	8.2
2011	38.4	7.1
2010	38.1	8.1
2009	39.3	7.6
2008	37.7	7.5
2007	37	7.3
2006	39.3	7.6
2005	38.8	7.9
2004	38.6	7
2003	37.6	7.2
2002	38.5	7.2
2001	37.5	7.4
2000	36.5	6.7
1999	35.5	6.9
1998	35.1	5.8
1997	36.1	6.2
1996	33.9	6.1
1995	32.8	5.4
1994	30.6	4.9
1993	28.7	4.3
1992	27.7	3.9
1991	31.8	4.6
1990	34.7	5.3
1989	31.2	4.8
1988	31.9	4.3
1987	31.4	5.4
1986	30.4	4.8
1985	32.8	5.2
1984	28.3	4.1
1983	25.3	2.9
1982	30.2	4.6
1981	29.8	4.3
1980	29.6	4.1
1979	30.2	4.4
1978	28.3	3.8
1977	29.3	4
1976	29.1	4.1
1975	28.5	4
1974	28.9	4.2
1973	28.3	4.2
1972	29.7	3.9
1971	29.5	4.4
1970	28.3	3.9
1969	29.7	4.2
1968	30.6	4.7
1967	28.4	4.2
1966	29.3	3.9
1965	27.6	3.9
1964	27.6	3.8
1963	28.9	4.1
1962	28.7	4.1
1961	28.7	4.4
1960	29.1	4.4
1959	30.5	4.3
1958	31.6	4.9
1957	29.4	4.5
1956	29.6	4.6
1955	29.8	4.6
1954	30.2	4.3
1953	30.7	4.4
1952	29.1	4.3
1951	29.3	4.3
1950	30.1	5

CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100

年份	阿塞拜疆	格鲁吉亚
2015	46.835.3–57.1	11.27.5–17.6
2016	44.732.4–54.9	10.85.6–16
2017	46.234.8–54.5	10.64.9–15.5
2018	45.934–57.4	11.25.6–15.9
2019	45.436.1–55	10.56.9–15.4
2020	47.335.8–56.3	11.47–16.5
2021	47.336.1–57.2	10.66.5–16.7
2022	47.937.9–58.3	11.86.8–16.5
2023	4937.9–60.2	11.97.1–18.5
2024	48.437.2–59.4	12.86.8–18.1
2025	48.939.4–57.4	12.48–18.4
2026	4939.2–59.3	12.57.2–17.5
2027	49.339.8–62.6	13.47.2–20
2028	48.339–57.6	12.18.1–16.5
2029	49.440.8–60.2	12.58.3–18.3
2030	50.238.7–60.4	12.28–20.1
2031	51.441.6–62.8	14.68.9–20.7
2032	53.540.9–64.3	14.18.6–20.9
2033	52.243–62.4	15.29.6–20
2034	50.741.1–61.2	13.48.9–19
2035	54.643.7–64.2	15.210–20.3
2036	52.843.2–64	15.29.3–21.9
2037	53.943.3–65	15.89.5–21.7
2038	56.443.3–67.5	16.79.4–23.5
2039	54.644.8–67.6	16.810.8–23.9
2040	56.342.1–66.6	17.38.8–23.7
2041	54.846.4–65.1	15.710.3–22.6
2042	55.945.2–66.2	15.510.4–21.3
2043	55.747.4–64.8	16.711–23.3
2044	5845.9–70.7	17.811.1–24.9
2045	5846.1–70.3	16.910.5–24.6
2046	59.548.7–70.5	18.512.1–25.4
2047	57.546.3–69.8	17.811.6–26.6
2048	6047–70.8	1910.8–26.1
2049	58.649–68.6	18.311.6–25
2050	62.353–70.7	19.612.5–25.8
2051	59.448.9–68.2	18.212.3–24.5
2052	60.849.3–69.9	18.312.2–24.6
2053	6151.2–71.4	19.212.8–26.5
2054	60.147.6–73.1	1811.3–26.7
2055	61.951.6–74.2	19.912.6–28.7
2056	61.750.9–75.6	1912.9–29
2057	64.551.8–76.1	21.713.7–30.8
2058	63.751.4–76.4	20.712.7–32.5
2059	63.152–76.2	21.312.5–30.4
2060	6351.9–76.4	20.212.8–29
2061	63.949.1–76.8	2112.4–32.7
2062	64.450.4–77	20.411.9–31.6
2063	65.647.3–77.5	23.611–34.1
2064	63.449.5–77.9	21.613–33.1
2065	67.252.9–80.5	22.912–32
2066	64.350.7–77.5	20.612–30.9
2067	6549.3–77.8	20.412.6–29.4
2068	65.651.8–76.9	22.213.4–32
2069	66.752.4–79.9	22.714.8–32.1
2070	65.953.2–77.8	21.913–30.5
2071	65.654.4–80.2	21.613.7–32
2072	66.653.8–81.3	23.214.7–32.9
2073	6952.1–84.4	24.511.9–36.8
2074	66.455.5–79.4	23.415.4–32
2075	67.453.5–80.9	2414.4–33.1
2076	65.554.3–82.5	23.815.3–34.2
2077	67.554.9–82.1	2414.5–33.6
2078	68.257.6–81	24.416.1–34.7
2079	69.555.1–82.3	24.515–35.1
2080	68.656.8–83.5	25.916.6–35.6
2081	70.255.8–82.6	25.717.8–36
2082	70.357.9–81.1	24.815.9–35.5
2083	72.157–86.9	27.816.3–39.6
2084	70.657.9–84.3	26.816.5–37.1
2085	69.355.2–84.2	26.214.5–35.9
2086	71.558–83	26.316.8–36.9
2087	71.256.2–85.4	26.615.7–38.5
2088	73.157.1–86.6	26.515.8–38.4
2089	70.657–86.3	2616.8–41
2090	72.255.3–87.1	27.915.9–40.5
2091	73.558–89.1	27.817.1–39.6
2092	74.558.8–87.4	27.317–38.8
2093	71.856.4–88.3	28.816.6–40.3
2094	74.258.9–90.5	29.917.9–41.9
2095	72.756.9–87.5	27.317.3–39.1
2096	7458.9–87	27.115.7–41.4
2097	74.256.3–89	29.416.8–40.3
2098	73.155.6–88.5	26.616.3–39.1
2099	72.156.5–84.7	27.716.8–36.8
2100	71.557.4–87	26.217–37.5

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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

阿塞拜疆与格鲁吉亚对比

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冲突

冲突死亡人数阿塞拜疆：2022 年为 155 人死亡格鲁吉亚：2022 年为 0 人死亡