马来西亚与巴布亚新几内亚对比

马来西亚与巴布亚新几内亚：热带夜

2014 年热带夜：马来西亚为 323 夜，巴布亚新几内亚为 250 夜（CMIP6 气候模型中位数模拟）。 2014 年马来西亚的数值较高，高出 73 夜，是巴布亚新几内亚的 1.29 倍。

在地图上查看其变化

每年夜数 · CMIP6

马来西亚与巴布亚新几内亚：热带夜2014 年热带夜：马来西亚为 323 夜，巴布亚新几内亚为 250 夜（CMIP6 气候模型中位数模拟）。 2014 年马来西亚的数值较高，高出 73 夜，是巴布亚新几内亚的 1.29 倍。
马来西亚巴布亚新几内亚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，马来西亚的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年马来西亚为 354.8 夜，巴布亚新几内亚为 276.3 夜。

逐年数据

每年夜数 · CMIP6

年份马来西亚巴布亚新几内亚
2014323250
2013323.9250.3
2012323.3248.7
2011320.9247
2010320.9249.1
2009320.3247.8
2008317.9246.9
2007317.8246.6
2006317.3247
2005318.4247.2
2004319.4247
2003316245.9
2002316245.6
2001316.5246.5
2000314.5245.9
1999312.9244.8
1998312.5243.9
1997310.6243
1996307.1241.9
1995307.3241.6
1994304.1239.6
1993298.2236.8
1992293.6235
1991308.9242.1
1990310.4242.7
1989306.9240.3
1988306.8241.3
1987306240.8
1986305.5241.1
1985301.7238.2
1984302.1238.3
1983297.2236
1982302.6239.7
1981303.7239.4
1980303.3239.4
1979302.4238.9
1978301237.6
1977301.3238.1
1976298.9235.2
1975297.7237.6
1974298.1236.9
1973299.1238.1
1972297236.3
1971298.3236.9
1970296234.7
1969297.4235.9
1968295.2235.4
1967293.1234.7
1966296.2235.3
1965293.1233.5
1964291.3232
1963291.6232.3
1962299.1237.1
1961299.5237.7
1960300.1238.1
1959299.9237.5
1958301.7238.5
1957299236.1
1956298.1236.9
1955299.3237.6
1954296.8235.9
1953298.8236.5
1952299.4237.1
1951299.1237.2
1950300236.6
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份马来西亚巴布亚新几内亚
2015324.4308.5–333.7251.6240.9–257.9
2016323.8310.5–334.9250.8241.6–258.7
2017325.6309.9–334.4251.6240–258.6
2018325.7310.7–335.4252240.2–258.8
2019326.4311.9–335.3252.2242–259.7
2020328313.4–337.7253.8242.9–261.3
2021328.8314–336.3253242.7–259.2
2022329315.3–339254.2242.9–261.3
2023330.1316–340.5254243.4–262
2024332319.6–340.7256246.5–263.4
2025330.3317.7–342254.9244.4–263.6
2026330.2315.1–342.9255.8245–263.7
2027331315.2–342.4255.6245.6–262.9
2028332.4319–341.9256.2246.5–264.2
2029334.4322.5–344.9257.9248.1–265.4
2030333.4319.2–342.6256.8246.2–264.3
2031333.8317.1–342.5256.4246–263.8
2032336.5323.3–345.9258.6247.9–267.7
2033336.4322.5–343.3259.5248.8–266.1
2034334.8322.7–344.3257.9248.2–265.2
2035334.7323.3–347.9259.4250–270
2036336.9320.7–346.2259.6249.8–268.4
2037338.3325.4–345.3259.4249.3–267.6
2038339.7326.9–347.4261.1251.9–268.7
2039340326–347.4261.6251.5–268.3
2040338.6325.1–349260.6250–271.3
2041340.3326.3–348.1262.1250.9–271.1
2042339.9326.9–349.6261.7251.3–271.2
2043338.3324.3–348.3261.4250.7–270.1
2044340.6326.3–350.4263.5253.3–271.6
2045340.9327.4–349.8263.7252.3–272.6
2046343.3327.6–351.4264251.2–272.4
2047343325.3–352.9264.7253.1–274.1
2048342.6329–352.5263.6253.4–273.3
2049343.8331.1–354.1265.6254.3–275.8
2050342.7328.1–353.5266.3254.6–275.6
2051344.5330.7–354.3265254–276.5
2052345.1330.3–355266.5255.1–275.9
2053344.2331–353.5265.5254.3–277.2
2054345330.1–354.6265.6255–277.3
2055346.1332–354.3266.9255.8–278.4
2056346.5332.2–356.6267.6256.1–278.5
2057347.9332.3–355.4267.1254.9–278
2058347333.5–355.6267.4255.2–278.8
2059346.9333.4–356.2267.5255.8–278.8
2060349.7334.9–357.3270.4257.3–280.1
2061348.4334.1–356.1268.7257–278.3
2062348.4331.8–357.7268.3254.5–281.2
2063348.7333.2–357.7268.6256.4–281.7
2064349.1333.8–357.5269.5257–281.3
2065348.6334.6–356.8269.1257.2–280.5
2066349.3335–357.5270258.8–282.1
2067349.1334–356.6270256.7–281.9
2068350334.6–358.7271.1256.2–283.4
2069349.5334.2–357.9271.8258.6–282.9
2070349.2336.2–357.7270.7257–281.1
2071350.9336.1–358.6273.3258.5–284.9
2072351337.2–357.9271.3257.7–282.6
2073351.1338.7–359.9272.6259.4–284
2074350337.8–359.4272.8258.8–285.6
2075350.5335.4–358.1273.1258.5–284.4
2076351.6337.5–359.7272.6258.9–282.9
2077352.4336.4–359.9273.4259.5–285.8
2078351.3338.9–358.8273.5260.4–284.1
2079351.8337.9–359.7273.1259.6–285.6
2080352.4338.8–360.7274.1260.6–286.6
2081352.2337.3–359.7274.1260.6–286.9
2082352.7336.9–358.9274.2259.8–283.7
2083352.5339.6–360.4275.7261.4–286.9
2084353.5337.9–360.4275.1261.3–286.7
2085352.9340.2–360.2275260.2–287.9
2086352.8339.9–360275.4262.7–287.1
2087352.8338.4–361273.4261–287.5
2088354340–360.9276.5262.7–287
2089353.7339.7–359.9275.4261.5–288.4
2090353.3340.3–360.6274.9261.9–288.4
2091354.7338.9–361276.8260.9–289.4
2092355.3340.4–361.7276.8262.1–288.4
2093353.5339.3–362275.4262.9–290.1
2094355.4341.2–360.4276.9262.2–288.1
2095355339.4–360.6277261.9–287.5
2096353.6339.6–363.1276261.9–293
2097354.3339.5–360.6274.9261.5–288.8
2098354.8340.2–360.7276.6261.6–289.1
2099353.7340–361.8276.9261.8–290.6
2100354.8340.4–360.8276.3261.4–287.1

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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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