葡萄牙与乌兹别克斯坦：热带夜

2014 年热带夜：葡萄牙为 8.9 夜，乌兹别克斯坦为 65.5 夜（CMIP6 气候模型中位数模拟）。 2014 年乌兹别克斯坦的数值较高，高出 56.6 夜，是葡萄牙的 7.35 倍。

每年夜数 · CMIP6

葡萄牙乌兹别克斯坦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，乌兹别克斯坦的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年葡萄牙为 32.7 夜，乌兹别克斯坦为 96.1 夜。

逐年数据

每年夜数 · CMIP6

年份	葡萄牙	乌兹别克斯坦
2014	8.9	65.5
2013	11	64.1
2012	8.4	63.6
2011	8.3	61.8
2010	8	57.7
2009	9.1	62.5
2008	8.3	60.5
2007	8.2	61
2006	9.9	61.6
2005	10.2	59.4
2004	8.6	58.8
2003	6.4	59.7
2002	8.4	61.7
2001	8.5	59
2000	7.1	56
1999	7.9	57
1998	6.1	57.3
1997	6	57.5
1996	5.9	54.5
1995	5.4	53.4
1994	5.3	51.8
1993	4.9	47.2
1992	4.6	48.2
1991	5.8	53.4
1990	5.9	54.8
1989	6.1	51.8
1988	6.7	51.9
1987	5.9	52.5
1986	4.4	47.4
1985	3.8	52.9
1984	3.9	46.9
1983	3.5	42.3
1982	3.9	50.7
1981	4.3	49.6
1980	4.6	47.9
1979	4.9	50.7
1978	5.4	47.1
1977	5.3	48.5
1976	3.7	46.1
1975	4.5	46.9
1974	5.1	44.9
1973	4.4	46.3
1972	3.6	47.4
1971	3.1	45.5
1970	3.5	44.4
1969	3.5	47.8
1968	4.1	44.6
1967	4.3	45.6
1966	3.6	46.1
1965	3.8	45.1
1964	4	46.1
1963	3.5	47
1962	4	46.3
1961	4.5	46.6
1960	4.3	45.7
1959	4.4	47.5
1958	4.3	53.1
1957	4.3	49.6
1956	4.8	49.4
1955	5.3	47.1
1954	3.8	49.9
1953	4.1	45.7
1952	5	49.2
1951	4.8	47.9
1950	5	49.5

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

年份	葡萄牙	乌兹别克斯坦
2015	9.43.5–20.8	67.454.2–79.9
2016	10.34.5–24.3	64.554.4–79.8
2017	10.53.4–20.4	66.955.3–76.4
2018	12.75–22.8	66.951.9–80.2
2019	11.84.8–22.7	67.555.8–80.4
2020	11.74.2–21	67.655.3–78.9
2021	12.45–23.7	68.256.7–78.7
2022	12.63.7–28.4	68.756.5–80
2023	12.85–26.8	71.759.3–80.7
2024	146–25.2	71.558–81.9
2025	12.85–27	72.460.1–83.8
2026	13.14.9–24.5	70.758.5–82.4
2027	14.96.2–29.8	71.359.5–84.8
2028	14.24.7–28.8	72.262.3–84.2
2029	14.63.9–29.5	71.556.9–83.7
2030	13.75.7–28	73.860.3–84
2031	15.15.7–29.2	75.965.3–86.4
2032	15.77.3–29.6	75.462.8–87.7
2033	15.27.4–30.1	74.862.7–88.5
2034	17.97.1–33.7	73.259–88
2035	166.4–28	7763.9–87.6
2036	186.9–29.3	76.262.2–87.7
2037	186.4–31.9	76.864.1–86.5
2038	16.68.6–31.6	7866–90.1
2039	178.4–30.3	74.262.3–86.5
2040	14.64.6–29.1	79.361.6–90.5
2041	17.47.4–28.1	79.166–90.9
2042	16.57.6–30.1	77.964–91.1
2043	19.38.9–34	76.964.7–89.3
2044	17.98.7–29.9	80.265.2–94.1
2045	20.38–37.2	79.362.9–91.3
2046	19.210.1–34.4	80.666.1–93.9
2047	19.19–36.2	80.865.2–96
2048	20.39–33	80.467.3–92.2
2049	22.99.6–37.8	82.670–93.2
2050	23.612–45.8	84.170.8–95.2
2051	19.87–36.6	8268.1–94.5
2052	20.98.5–40.7	82.470.7–94.5
2053	22.49.7–38.6	83.968.5–95
2054	21.19.4–36.7	84.870.5–97
2055	20.98.3–37.1	84.470.7–96.2
2056	21.810.3–39.6	85.871–97.8
2057	23.710.6–40.7	86.872.3–98.9
2058	23.79.8–40.6	8468.7–98.2
2059	24.510.8–42.2	84.972.8–97.6
2060	26.513.1–42.5	87.972.4–100.4
2061	30.315.3–47.5	84.370.1–97.3
2062	24.212.1–44.8	86.771.2–102.1
2063	28.410–48.2	88.171–101.2
2064	24.710.8–48.4	84.568.1–99.8
2065	23.69–53.6	90.275.4–104.8
2066	28.113.3–45.9	88.274.3–100.2
2067	26.813.4–44.5	87.371.8–103.7
2068	25.810.8–49.6	88.576.1–100.4
2069	28.212.4–48.6	90.175.9–103.3
2070	28.313.4–51.9	87.875.3–100.9
2071	26.912.2–50.6	87.875.7–102.6
2072	29.714–51.9	88.773.5–104.3
2073	31.213–55.7	89.475.7–105.8
2074	28.213.4–48.8	9278–104.3
2075	27.812.1–46.7	89.876.9–103.7
2076	28.813–55.8	89.972.7–104.9
2077	32.113.4–50.8	91.475.5–106.7
2078	30.212.7–52.8	91.576.3–105.3
2079	27.612.5–48.2	89.175.8–103.5
2080	31.214.9–54	91.874.6–108.3
2081	30.314.6–52.3	90.675.2–104.8
2082	30.912.8–46.6	93.476.3–106.1
2083	33.215.1–53.3	91.979.5–107.5
2084	31.616.5–50.1	9172.3–107.5
2085	32.215.9–57.9	89.975.1–109.6
2086	40.312.5–61.2	90.773.7–105.6
2087	36.814.6–63.1	93.379–107.1
2088	35.514.3–56.2	93.176–107.9
2089	32.814–53.5	92.377.9–107.4
2090	34.515.1–64.4	93.576.6–112.1
2091	35.316–57.3	9778.4–111.4
2092	3414.6–59.9	95.478.2–107.9
2093	33.416.6–51.6	94.877.2–107.9
2094	35.313.2–59.6	94.980.1–111.9
2095	34.215–59.2	94.777.9–111.7
2096	37.917–57.7	97.383.8–110.9
2097	35.615.2–59.9	95.880.5–110
2098	32.714.1–62.8	97.580.4–112.5
2099	37.719.3–59.8	97.181.4–113.6
2100	32.716.6–60.5	96.180.1–113.6

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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

葡萄牙与乌兹别克斯坦对比

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冲突

冲突死亡人数葡萄牙：2022 年为 0 人死亡乌兹别克斯坦：2022 年为 0 人死亡