尼泊尔与斯里兰卡：35 °C 以上天数

2014 年35 °C 以上天数：尼泊尔为 9.6 天，斯里兰卡为 17.9 天（CMIP6 气候模型中位数模拟）。 2014 年斯里兰卡的数值较高，高出 8.2 天，是尼泊尔的 1.85 倍。

每年天数 · CMIP6

尼泊尔斯里兰卡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 1986 年超过尼泊尔以来，斯里兰卡的数值一直更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年尼泊尔为 20.6 天，斯里兰卡为 63.4 天。

逐年数据

每年天数 · CMIP6

年份	尼泊尔	斯里兰卡
2014	9.6	17.9
2013	9.8	18.7
2012	10.7	19.2
2011	8.5	19.4
2010	10.1	19.4
2009	8.7	16.7
2008	8.6	17
2007	10	19
2006	9.8	15.4
2005	9.9	18
2004	9	17.4
2003	8.7	18.5
2002	10.7	15.3
2001	9.5	17
2000	9.4	14.4
1999	10.2	13.9
1998	8.7	15.2
1997	9.3	15
1996	7.6	12.3
1995	8.1	11.5
1994	8.7	11.2
1993	7.5	10.7
1992	5.6	7.3
1991	10.2	14.6
1990	9.4	13.9
1989	9	14.4
1988	8	11.5
1987	9	10.3
1986	9.1	14.4
1985	9.1	9
1984	8.6	12.6
1983	8.7	11
1982	9.1	12.1
1981	9.1	11.8
1980	8.4	11.8
1979	8.5	11.9
1978	8.4	10.5
1977	9.1	12.6
1976	10	9.4
1975	9.3	9.4
1974	9.7	10.8
1973	8.8	12.7
1972	8	10.5
1971	9.1	10.3
1970	9.5	9.7
1969	8.6	10.6
1968	8.2	8.8
1967	7.6	8.1
1966	10.1	10.9
1965	8.8	9
1964	7.5	8.2
1963	9	7.5
1962	9.4	11.1
1961	9.5	13
1960	9.6	12.2
1959	10.3	11.9
1958	9.7	11.3
1957	9.1	9.3
1956	9.6	10.7
1955	8.5	11.8
1954	9.6	11.1
1953	9.9	10.8
1952	9.8	11.7
1951	9.1	12.1
1950	10.3	11.7

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

年份	尼泊尔	斯里兰卡
2015	9.75.4–15.7	19.410–31.3
2016	10.14.9–15.1	19.510.9–33.8
2017	9.53.2–14.1	22.610.7–32.7
2018	10.23–15.4	21.59.4–33.7
2019	9.34.9–14.3	19.39.7–33.7
2020	10.46.4–15.8	22.111.9–36
2021	9.54.4–14.6	25.214.3–38.4
2022	103.2–15.5	28.416.3–39.6
2023	10.56.5–16.1	24.614.8–38.6
2024	11.76.1–17.5	25.712.7–38.4
2025	10.15.3–16.2	22.812.9–37.4
2026	10.96.6–16.9	26.413.2–41.9
2027	11.15.3–16.4	25.415.8–38.8
2028	10.64.7–16	25.713.8–38.8
2029	11.32.6–18.5	29.916–43.6
2030	10.64.7–16.3	28.316–42.1
2031	10.35.7–16.2	29.317.2–41.8
2032	10.93.1–17.6	30.917.4–50.2
2033	10.56.6–15.5	29.916.2–41.1
2034	10.65.5–16.7	30.117–47.7
2035	10.16.2–17.2	29.318.7–46.6
2036	10.35.3–16.5	31.619.1–43
2037	11.96.5–18.9	3421.1–51.1
2038	12.26.1–19.6	35.220.6–50.1
2039	11.25.2–17.6	3423.6–47
2040	11.64.8–18.8	36.720.4–53.8
2041	12.87.1–19	3824–54.5
2042	13.68–21	38.122.3–54.2
2043	13.78.5–19.1	37.117.4–50.3
2044	14.19.3–19.9	36.222.2–53.8
2045	12.68.5–19.2	3723.4–56.9
2046	13.27.3–21.8	40.823.6–55.8
2047	13.57.1–19.9	41.426.1–55.9
2048	14.77.3–21.7	41.627.9–61.4
2049	157.7–21.5	41.926.7–63.7
2050	13.87.5–21.6	39.722.4–58.2
2051	14.99.3–20	42.326.6–62.8
2052	13.89.9–21.8	41.826.9–64.7
2053	13.97.9–20.4	43.226.2–61.1
2054	14.37.1–21.9	44.728.3–67.6
2055	16.47.9–22.7	45.728.8–62.9
2056	14.38.7–20.4	45.127.9–63.6
2057	14.38.3–22.1	48.428.1–67.4
2058	16.29.8–23.8	45.229.2–73.8
2059	169.6–25.9	49.430.6–68.6
2060	16.711.4–23.9	52.831.5–72.2
2061	16.110.2–22.2	47.830.4–70.4
2062	1611.2–22.6	49.629.1–75.6
2063	179.4–24.4	51.331–73.1
2064	15.710.4–23.7	50.531.2–69
2065	17.38.7–25.6	5132.8–72.8
2066	16.18.9–23.7	50.831.9–74.1
2067	16.19–23.3	51.728.5–71.8
2068	18.110.9–27.1	5433.1–73.7
2069	17.89–24.6	50.134.4–78.2
2070	15.49–23.1	52.130.7–79.5
2071	189.9–25.6	56.332.1–83.4
2072	18.711.4–24.7	55.137.5–78.7
2073	18.312.5–26.8	61.738.6–84.4
2074	17.79.8–25.5	53.735–80.7
2075	17.210.7–24.6	53.631.7–76
2076	17.69.5–26.9	59.435.8–81.7
2077	19.711.7–27.1	60.532.5–87.1
2078	18.710.8–25.6	56.740.2–81.5
2079	18.58.9–25.4	62.334.8–79.9
2080	2011.3–28.1	61.235.7–88.2
2081	20.113.6–28.4	58.840.4–84.1
2082	19.510.7–28.5	5840.1–75.2
2083	19.512.1–28.8	60.239.4–87.6
2084	2112.3–30.5	61.739.7–86.8
2085	19.910.6–30.8	62.741.6–90
2086	18.610.7–30.6	62.138.7–88.9
2087	2010.8–28.9	61.236.6–84.7
2088	18.59.8–30.8	62.438.5–86.4
2089	20.911.4–31.1	57.938.6–87
2090	20.111.8–28.7	61.743–86.8
2091	20.312.3–32.3	63.239.1–90
2092	20.810.6–32	66.746.1–89.8
2093	18.911.3–31.7	61.640.5–97.4
2094	2011.7–28.1	66.439.7–91
2095	21.413.1–30.4	68.443.4–90.6
2096	20.510.1–29.6	66.340.4–95.7
2097	18.811.8–26.9	65.837.2–89.6
2098	19.911.5–29.3	65.240.8–96.7
2099	20.713.7–29.2	61.938–90.8
2100	20.613.4–29.3	63.442.5–91

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须知

一年中最高气温超过 35 °C 的天数，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

尼泊尔与斯里兰卡对比

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冲突

冲突死亡人数尼泊尔：2022 年为 0 人死亡斯里兰卡：2022 年为 0 人死亡