°C · ERA5
数据解读
- 自 1950 年以来,在两国都有数据的每一年,尼泊尔的数值都更高。
- 2025 年,在 233 个国家中,中国排名第 212,尼泊尔排名第 170(从高到低)。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年中国为 10 °C,尼泊尔为 15.2 °C。
逐年数据
°C · ERA5
| 年份 | 中国 | 中国:CMIP6 历史模拟,模型中位数 | 尼泊尔 | 尼泊尔:CMIP6 历史模拟,模型中位数 |
|---|---|---|---|---|
| 2025 | 8.3 | 7.9 | 13.7 | 13.1 |
| 2024 | 8.4 | 7.9 | 13.6 | 13.3 |
| 2023 | 8 | 7.8 | 13.2 | 13.1 |
| 2022 | 7.8 | 7.8 | 13.3 | 13.1 |
| 2021 | 7.8 | 7.7 | 13.1 | 13 |
| 2020 | 7.6 | 7.7 | 12.5 | 13 |
| 2019 | 7.6 | 7.7 | 12.6 | 12.9 |
| 2018 | 7.5 | 7.6 | 12.9 | 12.8 |
| 2017 | 7.8 | 7.7 | 13.2 | 12.9 |
| 2016 | 7.8 | 7.5 | 13.6 | 12.8 |
| 2015 | 7.7 | 7.5 | 12.7 | 12.9 |
| 2014 | 7.4 | 7.3 | 12.5 | 12.8 |
| 2013 | 7.4 | 7.5 | 12.7 | 12.8 |
| 2012 | 6.6 | 7.4 | 12.3 | 12.8 |
| 2011 | 6.9 | 7.4 | 12.5 | 12.7 |
| 2010 | 7.2 | 7.3 | 13.4 | 12.7 |
| 2009 | 7.4 | 7.2 | 13.2 | 12.5 |
| 2008 | 7.2 | 7.1 | 12.7 | 12.5 |
| 2007 | 7.7 | 7.1 | 12.9 | 12.6 |
| 2006 | 7.6 | 7.2 | 13.1 | 12.6 |
| 2005 | 7 | 7.3 | 12.7 | 12.6 |
| 2004 | 7.3 | 7.1 | 12.7 | 12.6 |
| 2003 | 7.1 | 7.1 | 12.4 | 12.5 |
| 2002 | 7.3 | 7.1 | 12.4 | 12.7 |
| 2001 | 7.2 | 7.2 | 12.7 | 12.5 |
| 2000 | 6.8 | 7 | 12.3 | 12.4 |
| 1999 | 7.4 | 6.9 | 13.1 | 12.5 |
| 1998 | 7.6 | 6.9 | 12.9 | 12.3 |
| 1997 | 6.9 | 6.9 | 11.6 | 12.4 |
| 1996 | 6.5 | 6.8 | 12.5 | 12.2 |
| 1995 | 6.8 | 6.7 | 12.5 | 12.3 |
| 1994 | 7.2 | 6.6 | 12.7 | 12.1 |
| 1993 | 6.6 | 6.3 | 12.6 | 12 |
| 1992 | 6.4 | 6.2 | 12.2 | 11.9 |
| 1991 | 6.7 | 6.7 | 12.3 | 12.4 |
| 1990 | 7 | 6.8 | 12.4 | 12.3 |
| 1989 | 6.6 | 6.7 | 12.1 | 12.2 |
| 1988 | 6.7 | 6.6 | 13 | 12.2 |
| 1987 | 6.8 | 6.6 | 12.6 | 12.2 |
| 1986 | 6.3 | 6.5 | 12 | 12.1 |
| 1985 | 6.1 | 6.5 | 12.5 | 12.1 |
| 1984 | 6.1 | 6.3 | 12.4 | 12.1 |
| 1983 | 6.3 | 6.1 | 11.7 | 12 |
| 1982 | 6.6 | 6.5 | 11.9 | 12.1 |
| 1981 | 6.4 | 6.5 | 11.8 | 12.2 |
| 1980 | 6.3 | 6.5 | 12.4 | 12.1 |
| 1979 | 6.5 | 6.4 | 12.5 | 12.2 |
| 1978 | 6.5 | 6.5 | 12.1 | 12 |
| 1977 | 6.2 | 6.4 | 12.5 | 12.1 |
| 1976 | 5.9 | 6.2 | 12.3 | 12.1 |
| 1975 | 6.6 | 6.4 | 12.3 | 12 |
| 1974 | 6.1 | 6.5 | 12.2 | 12.1 |
| 1973 | 6.5 | 6.4 | 12.3 | 12 |
| 1972 | 6.1 | 6.3 | 12.2 | 12 |
| 1971 | 6.2 | 6.3 | 11.8 | 12.1 |
| 1970 | 6 | 6.3 | 12.3 | 12 |
| 1969 | 6 | 6.3 | 12.1 | 11.9 |
| 1968 | 6.1 | 6.3 | 11.5 | 11.9 |
| 1967 | 5.8 | 6.4 | 11.7 | 11.9 |
| 1966 | 6.2 | 6.4 | 12.1 | 12.1 |
| 1965 | 6.2 | 6.2 | 11.5 | 12 |
| 1964 | 6.3 | 6.3 | 12.4 | 11.9 |
| 1963 | 6.5 | 6.5 | 11.7 | 12 |
| 1962 | 6.2 | 6.5 | 11.7 | 12.2 |
| 1961 | 6.5 | 6.6 | 11.7 | 12.1 |
| 1960 | 6.4 | 6.5 | 12.5 | 12.1 |
| 1959 | 6.5 | 6.5 | 12.4 | 12.2 |
| 1958 | 6.5 | 6.4 | 12.7 | 12.1 |
| 1957 | 5.7 | 6.6 | 11.7 | 12.1 |
| 1956 | 5.7 | 6.6 | 11.7 | 12.1 |
| 1955 | 6.2 | 6.6 | 11.7 | 12 |
| 1954 | 6.1 | 6.5 | 11.5 | 12.1 |
| 1953 | 7 | 6.5 | 10.9 | 12.1 |
| 1952 | 6.3 | 6.4 | 10.8 | 12 |
| 1951 | 6.5 | 6.5 | 11.2 | 12.2 |
| 1950 | 6.7 | 6.6 | 11.2 | 12.2 |
- 12.3预测值
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2026–2100
| 年份 | 中国 | 中国:CMIP6 历史模拟,模型中位数 | 尼泊尔 | 尼泊尔:CMIP6 历史模拟,模型中位数 |
|---|---|---|---|---|
| 2026 | – | 7.97.1–9 | – | 13.212.6–13.7 |
| 2027 | – | 87.2–8.9 | – | 13.212.6–13.8 |
| 2028 | – | 8.17.1–9.1 | – | 13.212.7–13.8 |
| 2029 | – | 8.17.3–9 | – | 13.312.6–14 |
| 2030 | – | 8.17.3–8.9 | – | 13.212.7–13.8 |
| 2031 | – | 8.17.2–9 | – | 13.212.6–13.8 |
| 2032 | – | 8.27.4–9 | – | 13.412.9–13.9 |
| 2033 | – | 8.37.4–9 | – | 13.412.8–13.9 |
| 2034 | – | 8.37.4–9.3 | – | 13.412.7–14 |
| 2035 | – | 8.37.4–9.3 | – | 13.412.9–14 |
| 2036 | – | 8.37.5–9.2 | – | 13.412.9–14 |
| 2037 | – | 8.47.5–9.4 | – | 13.512.9–14.3 |
| 2038 | – | 8.57.6–9.3 | – | 13.612.9–14.3 |
| 2039 | – | 8.57.5–9.5 | – | 13.513–14.1 |
| 2040 | – | 8.57.6–9.5 | – | 13.512.8–14.3 |
| 2041 | – | 8.57.6–9.6 | – | 13.713.2–14.2 |
| 2042 | – | 8.57.5–9.6 | – | 13.813.2–14.4 |
| 2043 | – | 8.57.6–9.7 | – | 13.713–14.5 |
| 2044 | – | 8.77.7–9.7 | – | 13.913.1–14.5 |
| 2045 | – | 8.77.8–9.6 | – | 13.813.3–14.4 |
| 2046 | – | 8.87.8–9.7 | – | 13.913.1–14.6 |
| 2047 | – | 8.87.8–9.8 | – | 13.913.1–14.6 |
| 2048 | – | 8.97.9–9.9 | – | 1413.2–14.8 |
| 2049 | – | 8.87.8–10 | – | 13.913.3–14.8 |
| 2050 | – | 97.8–10.1 | – | 14.113.3–15 |
| 2051 | – | 98.1–10 | – | 14.113.5–14.8 |
| 2052 | – | 8.87.9–9.8 | – | 1413.3–14.9 |
| 2053 | – | 98–10 | – | 1413.4–14.9 |
| 2054 | – | 98.1–10.1 | – | 14.113.1–14.8 |
| 2055 | – | 98.1–10.1 | – | 14.213.5–14.9 |
| 2056 | – | 9.28.2–10.3 | – | 14.213.6–15 |
| 2057 | – | 9.27.8–10.3 | – | 14.313.4–15 |
| 2058 | – | 9.18.2–10.2 | – | 14.213.6–15.2 |
| 2059 | – | 9.28.1–10.4 | – | 14.313.6–15.3 |
| 2060 | – | 9.28.1–10.4 | – | 14.513.7–15.2 |
| 2061 | – | 9.28.2–10.3 | – | 14.413.5–15 |
| 2062 | – | 9.38.3–10.6 | – | 14.513.7–15.4 |
| 2063 | – | 9.38.3–10.4 | – | 14.313.7–15.3 |
| 2064 | – | 9.28.3–10.3 | – | 14.413.7–15.3 |
| 2065 | – | 9.38.3–10.4 | – | 14.513.8–15.4 |
| 2066 | – | 9.38.3–10.4 | – | 14.513.8–15.2 |
| 2067 | – | 9.38.3–10.5 | – | 14.413.8–15.4 |
| 2068 | – | 9.68.4–10.7 | – | 14.813.8–15.7 |
| 2069 | – | 9.68.3–10.7 | – | 14.713.8–15.5 |
| 2070 | – | 9.48.3–10.7 | – | 14.513.8–15.4 |
| 2071 | – | 9.58.3–10.9 | – | 14.513.9–15.6 |
| 2072 | – | 9.58.3–10.8 | – | 14.613.9–15.5 |
| 2073 | – | 9.78.5–10.8 | – | 14.713.8–15.7 |
| 2074 | – | 9.78.4–11 | – | 14.813.9–15.5 |
| 2075 | – | 9.68.5–10.9 | – | 14.814–15.5 |
| 2076 | – | 9.68.5–10.8 | – | 14.614–15.7 |
| 2077 | – | 9.78.7–11 | – | 14.914–15.7 |
| 2078 | – | 9.68.6–11 | – | 14.714–15.8 |
| 2079 | – | 9.78.5–11 | – | 14.813.9–15.5 |
| 2080 | – | 9.78.6–10.9 | – | 14.814.2–15.8 |
| 2081 | – | 9.68.6–11.1 | – | 1514.1–15.8 |
| 2082 | – | 9.78.6–11 | – | 14.814–16 |
| 2083 | – | 9.98.9–11.1 | – | 1514.2–16 |
| 2084 | – | 9.98.5–11.1 | – | 14.914–16.2 |
| 2085 | – | 9.88.6–11.3 | – | 14.914.1–16.2 |
| 2086 | – | 9.98.5–11.2 | – | 14.913.8–16.1 |
| 2087 | – | 9.88.7–11.3 | – | 14.813.9–16 |
| 2088 | – | 9.88.7–11.3 | – | 14.913.9–16.1 |
| 2089 | – | 9.98.6–11.4 | – | 14.914.1–16.2 |
| 2090 | – | 108.9–11.2 | – | 1514.2–16 |
| 2091 | – | 10.19–11.2 | – | 1514.1–16.2 |
| 2092 | – | 9.98.7–11.2 | – | 1514.2–16.2 |
| 2093 | – | 9.98.9–11.2 | – | 1514.1–16.1 |
| 2094 | – | 108.8–11.2 | – | 1514.3–16.1 |
| 2095 | – | 108.7–11.3 | – | 15.114.2–16 |
| 2096 | – | 10.18.5–11.3 | – | 15.214–16.2 |
| 2097 | – | 108.7–11.3 | – | 1514.1–16 |
| 2098 | – | 9.98.9–11.4 | – | 15.114.2–16.1 |
| 2099 | – | 108.7–11.3 | – | 15.214.4–16.2 |
| 2100 | – | 108.9–11.3 | – | 15.214.3–15.9 |
分别查看各国
须知
- 全国范围、全年平均的近地面气温。
- 来源:ERA5 reanalysis (Copernicus, ECMWF) and CMIP6, via the World Bank Climate Change Knowledge Portal。
- 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。
- 排名基于 2025 年有数值的 233 个国家,从高到低排列。
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
中国与尼泊尔对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支中国:2025 年为 GDP 的 1.73%尼泊尔:2025 年为 GDP 的 0.97%
- 军费开支(美元)中国:2025 年为 US$3350亿尼泊尔:2025 年为 US$4.29亿
- 人均军费开支中国:2025 年为 US$237尼泊尔:2025 年为 US$14
- 军费占政府支出比例中国:2025 年为 5.1%(占政府支出)尼泊尔:2025 年为 4.5%(占政府支出)
- 武装部队人员中国:2020 年为 254万 人尼泊尔:2020 年为 112,000 人
- 国家实力中国:2022 年为 23.41%(占全球实力)尼泊尔:2022 年为 0.18%(占全球实力)
- 武装部队占劳动力比例中国:2020 年为 0.33%(占劳动力)尼泊尔:2020 年为 1.4%(占劳动力)
- 武器进口中国:2025 年为 2.07亿 TIV尼泊尔:2025 年为 600万 TIV