中国与老挝对比
中国与老挝:热带夜
2014 年热带夜:中国为 41.5 夜,老挝为 192.8 夜(CMIP6 气候模型中位数模拟)。 2014 年老挝的数值较高,高出 151.4 夜,是中国的 4.65 倍。
每年夜数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,老挝的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年中国为 63.3 夜,老挝为 246.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 中国 | 老挝 |
|---|---|---|
| 2014 | 41.5 | 192.8 |
| 2013 | 41.7 | 195.1 |
| 2012 | 40.8 | 191.6 |
| 2011 | 40.2 | 193 |
| 2010 | 40.5 | 190.7 |
| 2009 | 39.5 | 189.1 |
| 2008 | 39.2 | 188.6 |
| 2007 | 38.7 | 185.3 |
| 2006 | 39.5 | 188.6 |
| 2005 | 39.5 | 186.1 |
| 2004 | 39.7 | 191.4 |
| 2003 | 38.5 | 183.8 |
| 2002 | 38.8 | 184.7 |
| 2001 | 39.5 | 190.3 |
| 2000 | 38.6 | 185.1 |
| 1999 | 38.5 | 183.9 |
| 1998 | 37.6 | 184.9 |
| 1997 | 37.1 | 184.9 |
| 1996 | 36.6 | 177.4 |
| 1995 | 35.1 | 176.6 |
| 1994 | 34.9 | 179.4 |
| 1993 | 33.2 | 170.4 |
| 1992 | 32.3 | 165.3 |
| 1991 | 35.9 | 178.5 |
| 1990 | 36.4 | 181.2 |
| 1989 | 36.1 | 176.1 |
| 1988 | 35.1 | 178.1 |
| 1987 | 34.5 | 177.3 |
| 1986 | 34 | 176.9 |
| 1985 | 33.5 | 172.3 |
| 1984 | 33.4 | 175.7 |
| 1983 | 31.5 | 166.9 |
| 1982 | 34.1 | 173.8 |
| 1981 | 34.2 | 174.1 |
| 1980 | 34.3 | 175.3 |
| 1979 | 33.8 | 174.1 |
| 1978 | 34.8 | 170.7 |
| 1977 | 33.3 | 172.6 |
| 1976 | 32.7 | 169.8 |
| 1975 | 33.1 | 169.3 |
| 1974 | 33.3 | 171.2 |
| 1973 | 33.1 | 177.3 |
| 1972 | 32.6 | 169.3 |
| 1971 | 33 | 168.6 |
| 1970 | 32.4 | 169.4 |
| 1969 | 33.4 | 171.8 |
| 1968 | 32.8 | 170.3 |
| 1967 | 33.4 | 164.6 |
| 1966 | 33.4 | 171.4 |
| 1965 | 32.5 | 168.3 |
| 1964 | 32.1 | 164.5 |
| 1963 | 34.5 | 166.3 |
| 1962 | 34 | 173 |
| 1961 | 34.6 | 175 |
| 1960 | 34.1 | 173.2 |
| 1959 | 34 | 170.1 |
| 1958 | 35 | 176.9 |
| 1957 | 34.4 | 171.8 |
| 1956 | 34.6 | 173.3 |
| 1955 | 34.2 | 172.8 |
| 1954 | 34.2 | 171.8 |
| 1953 | 34.3 | 171.8 |
| 1952 | 34.3 | 173.6 |
| 1951 | 35.1 | 175.3 |
| 1950 | 34.9 | 172.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 中国 | 老挝 |
|---|---|---|
| 2015 | 42.334.8–49.8 | 198.2176.6–216.8 |
| 2016 | 42.134.4–50 | 193174.6–213.8 |
| 2017 | 43.135.3–51.6 | 198.1178.2–215.1 |
| 2018 | 42.335.5–49.5 | 198.8178.8–218.7 |
| 2019 | 43.836.5–51.1 | 200.6172.9–217.8 |
| 2020 | 43.736.8–51.1 | 201.8177.8–220 |
| 2021 | 44.136–52.1 | 204.2184–224.5 |
| 2022 | 44.737.5–52.7 | 205.2182.2–225.7 |
| 2023 | 45.737.8–53.4 | 206.2187.2–224.3 |
| 2024 | 45.738.1–54 | 205.2186.3–221.9 |
| 2025 | 46.337.5–54.8 | 206.1181.2–224 |
| 2026 | 46.237.6–55.5 | 207.5183.6–226.9 |
| 2027 | 46.138–54.9 | 206.4185.8–226.4 |
| 2028 | 46.438.4–54.3 | 208.4186.8–230.5 |
| 2029 | 46.939.1–55.6 | 215.3189.5–232.4 |
| 2030 | 47.138.8–55.3 | 209.8189.3–227.8 |
| 2031 | 4738.8–56 | 211.6194.2–230.7 |
| 2032 | 48.339.3–57.4 | 211.4191–229.3 |
| 2033 | 47.939.7–56.6 | 212.8193.9–231.8 |
| 2034 | 48.440.5–57.3 | 214.5190.9–236 |
| 2035 | 49.740.8–58.6 | 213.3192.8–234.5 |
| 2036 | 4940.1–58.2 | 213.6191.7–231.6 |
| 2037 | 4941.2–57.6 | 215.7195.2–234.2 |
| 2038 | 50.542.4–59.3 | 221.3202.2–238.1 |
| 2039 | 49.641.2–59.2 | 216195.9–235.9 |
| 2040 | 50.942.4–60.4 | 217.2196.2–235.1 |
| 2041 | 51.342.5–61.1 | 221.3199.8–240.8 |
| 2042 | 51.642–61.5 | 221.3200.3–239.4 |
| 2043 | 50.742.7–61 | 218.2199.3–237.8 |
| 2044 | 51.942.4–61.9 | 219.8194.2–237.9 |
| 2045 | 51.542.8–61.1 | 223.9202.3–242.4 |
| 2046 | 5343.7–62.7 | 222.1198–239 |
| 2047 | 53.544.5–62.5 | 225202.1–243.8 |
| 2048 | 53.144–62.6 | 226.8204.9–247.7 |
| 2049 | 52.843.8–63.3 | 226.6206–249 |
| 2050 | 53.644.4–63.8 | 226.9207.5–245.6 |
| 2051 | 54.345.1–64.8 | 229.3208.8–247.3 |
| 2052 | 53.444.6–63.2 | 228.7209.4–244.4 |
| 2053 | 54.244.2–64.2 | 227.2206.2–247.2 |
| 2054 | 54.545.3–64.8 | 228206.7–247.3 |
| 2055 | 5545.1–65.8 | 227.3206.6–248.1 |
| 2056 | 55.245.1–66.6 | 232.1212.8–253.7 |
| 2057 | 54.844.9–65.7 | 227.9207.9–248.4 |
| 2058 | 55.145.8–67.7 | 229.6207.8–249.3 |
| 2059 | 55.345.1–67.2 | 233.1214.1–249.5 |
| 2060 | 57.246.9–68.1 | 237.7213.2–253.7 |
| 2061 | 56.546.6–66.3 | 233.5210–254.8 |
| 2062 | 56.846.9–68.5 | 230.6209–257.1 |
| 2063 | 57.247.2–68.6 | 232.2211–250.9 |
| 2064 | 5747.1–67.7 | 235213.9–252 |
| 2065 | 57.347.1–67.8 | 232.1213.7–253.3 |
| 2066 | 57.347.9–68.7 | 232.1212.3–251.7 |
| 2067 | 57.546.4–68.2 | 231.7205.9–254.2 |
| 2068 | 58.748.5–70.5 | 235.6212.3–256.8 |
| 2069 | 58.548.4–69 | 237.4213.9–257.5 |
| 2070 | 5847.6–71.7 | 234.4213.7–255.9 |
| 2071 | 59.347.4–71.6 | 236212.9–260.4 |
| 2072 | 59.248.1–71.5 | 239214.7–254.8 |
| 2073 | 59.849.1–70.9 | 239.6220.8–259 |
| 2074 | 59.648.7–71.1 | 239214.1–260.4 |
| 2075 | 58.748.3–71.4 | 238.6215.1–260.7 |
| 2076 | 60.249–70.9 | 240.5216.9–263.9 |
| 2077 | 60.851.1–72.4 | 242.2222.7–262.5 |
| 2078 | 59.648.8–72.4 | 242.1215.9–260.8 |
| 2079 | 60.750.1–72.6 | 241.1222.6–260.6 |
| 2080 | 59.950–72.3 | 240.8220.6–264.8 |
| 2081 | 60.950–73.2 | 242.8217.4–264.5 |
| 2082 | 6149.8–73.3 | 243.2216.6–262.4 |
| 2083 | 61.251.2–73.6 | 239.6219.9–261.2 |
| 2084 | 61.749.7–74.6 | 241.7215.2–260 |
| 2085 | 61.250.8–75.2 | 243.6221.2–266.3 |
| 2086 | 61.648.9–74.5 | 244.4218.2–267.7 |
| 2087 | 61.650.6–75 | 243.8219.7–267 |
| 2088 | 62.750.5–77.1 | 246.1224.3–269.6 |
| 2089 | 61.950–75.2 | 242.8220.1–268.3 |
| 2090 | 62.551.4–73.7 | 242.8226.2–266.1 |
| 2091 | 63.852–75.7 | 245.5221.4–267 |
| 2092 | 63.251.2–75.1 | 243.1220.1–266.5 |
| 2093 | 63.252–75.4 | 242.1221.2–263.6 |
| 2094 | 6351.1–76.3 | 245.7224.8–267.6 |
| 2095 | 63.952.8–76.4 | 249.4222.7–273.4 |
| 2096 | 63.852.2–76.8 | 244.6221.7–268.3 |
| 2097 | 62.750.7–75.1 | 244.8221–265.4 |
| 2098 | 63.451.2–76.8 | 245.4224.3–268 |
| 2099 | 63.851.9–76.1 | 247.3220.9–265.1 |
| 2100 | 63.351.7–76.2 | 246.3220–266.4 |
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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
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军用
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- 军费开支(美元)中国:2025 年为 US$3350亿老挝:2013 年为 US$2180万
- 人均军费开支中国:2025 年为 US$237老挝:2013 年为 US$3
- 军费占政府支出比例中国:2025 年为 5.1%(占政府支出)老挝:2013 年为 0.8%(占政府支出)
- 武装部队人员中国:2020 年为 254万 人老挝:2020 年为 129,000 人
- 国家实力中国:2022 年为 23.41%(占全球实力)老挝:2022 年为 0.06%(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)老挝:2020 年为 4.08%(占劳动力)
- 武器进口中国:2025 年为 2.07亿 TIV老挝:2024 年为 700万 TIV