萨尔瓦多与洪都拉斯对比

萨尔瓦多与洪都拉斯：热带夜

2014 年热带夜：萨尔瓦多为 301.6 夜，洪都拉斯为 176.7 夜（CMIP6 气候模型中位数模拟）。 2014 年萨尔瓦多的数值较高，高出 124.9 夜，是洪都拉斯的 1.71 倍。

在地图上查看其变化

每年夜数 · CMIP6

萨尔瓦多与洪都拉斯：热带夜2014 年热带夜：萨尔瓦多为 301.6 夜，洪都拉斯为 176.7 夜（CMIP6 气候模型中位数模拟）。 2014 年萨尔瓦多的数值较高，高出 124.9 夜，是洪都拉斯的 1.71 倍。
萨尔瓦多洪都拉斯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，萨尔瓦多的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年萨尔瓦多为 347.4 夜，洪都拉斯为 279.1 夜。

逐年数据

每年夜数 · CMIP6

年份萨尔瓦多洪都拉斯
2014301.6176.7
2013305.8181.1
2012305.1181.4
2011304.2180.5
2010302.1176.9
2009300174.4
2008296.7170.5
2007297.7171.8
2006296.9171
2005299.1171.6
2004299.9174.2
2003295.3170.2
2002298.2169.1
2001295.9168.2
2000292.2164.8
1999291.9162.2
1998290.5163
1997288160.4
1996285.2154.7
1995282.4152.5
1994279.2151.9
1993276.2149
1992276.2145
1991285.5156.7
1990289.4162.1
1989284.2153.8
1988282.2151.1
1987282.7151.9
1986279.8151.3
1985274146.1
1984274.7147.5
1983270.6143.7
1982276.1148.4
1981282.8150.9
1980279.3147.8
1979277148.9
1978275.2146
1977274.6148.6
1976276.7145.5
1975270.6141.8
1974273.9146.8
1973275.9145.1
1972271.4140.4
1971267.3141.1
1970267.4140.6
1969267.9142.2
1968271.9141.9
1967265.2138.4
1966266.9139.9
1965266.5138.1
1964264.9138.4
1963263.6136.8
1962272.1144.2
1961275.3145.5
1960276.4146.1
1959269.9143.3
1958274.1147.6
1957274.1144.5
1956272.3143.8
1955274.6146.3
1954272.9144
1953273.9143.2
1952273.6143.6
1951274.5145.5
1950271.4143.7
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份萨尔瓦多洪都拉斯
2015307.4284–327.3186.4151.3–215.3
2016310.7289.4–330.2185.7154.8–211.9
2017313.6294.7–330.5194.4164.9–215.2
2018310.7295.3–328.9190.6168.8–218.5
2019312.5292.8–331.9189161–221
2020316.3295.1–330.6196.8164.4–223
2021316.4299.2–333.1199.3176.3–226.8
2022317.9298–330.1202.9173–227.6
2023319.4303.1–333.1198.1175.2–230.1
2024319.4299.5–335.1204.7177.9–233.2
2025320298.7–333.5202.7173.9–230.8
2026320.9296.6–336.8206.8174–235.2
2027322.1301.3–337.9206.5177.9–235.7
2028323.4306–337.4211.3184–238.7
2029323.3302.1–337.1210.3185.4–244.5
2030323.5301.5–338.3208.9176.9–241.7
2031326.8307.7–339.8217.3187.1–246.4
2032328.9311.8–340.8218.9194.5–247.9
2033323.9309.1–338.8213.3188.2–239.7
2034323.9305.9–342.6211.3186.1–248.7
2035326.2310.1–343.2215.3184.2–248.2
2036326309–339.3215.5194.1–242.5
2037327.9315.8–340.2226.4202.4–251.6
2038332.1314.9–342.1228.9198.7–256.2
2039329.2314–343.8224.4196.6–256.2
2040330.4314.8–343.5225.1201–258
2041333.1314.1–343.4225.9203–251.8
2042333.3317.1–343.4229.3200.2–262.8
2043332312.3–346.7224.4199–262.5
2044331.9316.8–345.7224.8201.2–262.7
2045331.8318.9–345.8231206.1–262.3
2046332.4315.5–345.4236.9204.5–267.7
2047334.9322.4–347.9236.3213.3–269.3
2048337.4322.1–348.5241.2216.7–268.9
2049338320.5–349244.8213.5–270.7
2050339.9319.8–349.2241.1207.2–277.8
2051336.5319.8–347.4239.9210.5–270.2
2052334.7319.3–348.6245.1215.7–271.2
2053339.8317.5–351240.8211.7–277.5
2054339.5326.5–349.6243.9220.4–286.6
2055338.3324.8–350.1248.1220.1–282.1
2056338322.1–350.8245.6213.1–279
2057341.4324.3–350.1249.4214.2–279.1
2058339.7326.2–351.6248.4217.2–289.1
2059339.3319.8–349.3252.6220.5–283.1
2060340.5325.6–350.9256.8225.2–289.4
2061340.4325.6–352.1254.5220.4–285.9
2062341.9324–351.1252.8217.4–291.1
2063341327.2–352.9258.7226.2–288
2064338.6325.2–351.1252.1224.1–285.7
2065340.3326.6–350.6258.1226.9–288.9
2066338.9324–351.2256.4227.7–287.4
2067342.2327.7–353.4258.3228.2–294.9
2068344.2331.5–354.7264.6231.2–295
2069344329.5–353258.1229.3–292
2070344329.2–353.5256.9225.3–297.9
2071344.2332.2–355.2261.9231–292.9
2072347.5328.6–355.9267.3235.2–300.4
2073343326–355.8268.1233.7–304.7
2074345.8331.4–355.8263.7234.2–295.9
2075342.5327.8–355.3262.1229.5–295.4
2076345.8325.9–356266.8231.8–298.5
2077344.4330.1–354.9268.6232.1–298.8
2078347.4329.3–356.6270.1236.8–299.6
2079342.9326.9–355.1265.3229.5–304.2
2080344.7329.5–357.8268.4230.2–304.2
2081344.4329–353.6268231.9–300.8
2082344.5328.8–355.8267.4230.2–301.8
2083344.4329.6–356.7268.3236.2–307.4
2084347.3333.4–356.6273.9235.2–307.1
2085346.2328.4–356276.4234.2–305.9
2086345.6329.1–354.9267.9238.8–305.2
2087346.8330.4–355.5270.4233.7–301.8
2088348.9335.4–358.4277239.9–310.2
2089348.7332.1–357275.4246–309.8
2090349335.4–358.9275.3244.1–307
2091347.7334.5–357.6281.9240.6–310.6
2092348.1335.4–358.1277.1245.6–312.3
2093348.2333.7–356.6272.8244.2–311.6
2094348333.9–356.6274.9245.2–308.4
2095349.1334.4–357.2280.8244.6–313.5
2096349.2333.1–357.7275.2245.8–313.5
2097347.1335.3–356.1276247.2–305.4
2098348.4330.7–358.4278.9238.9–313.4
2099347.7331.7–357.8280.8240.6–312.8
2100347.4334.3–355.9279.1248.3–309.6

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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

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