缅甸与沙特阿拉伯对比

缅甸与沙特阿拉伯：热带夜

2014 年热带夜：缅甸为 201.9 夜，沙特阿拉伯为 181.5 夜（CMIP6 气候模型中位数模拟）。 2014 年缅甸的数值较高，高出 20.4 夜，是沙特阿拉伯的 1.11 倍。

在地图上查看其变化

每年夜数 · CMIP6

缅甸与沙特阿拉伯：热带夜2014 年热带夜：缅甸为 201.9 夜，沙特阿拉伯为 181.5 夜（CMIP6 气候模型中位数模拟）。 2014 年缅甸的数值较高，高出 20.4 夜，是沙特阿拉伯的 1.11 倍。
缅甸沙特阿拉伯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，缅甸的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年缅甸为 244.5 夜，沙特阿拉伯为 218.7 夜。

逐年数据

每年夜数 · CMIP6

年份缅甸沙特阿拉伯
2014201.9181.5
2013203.1180.4
2012201.1182.8
2011200.9182.7
2010202.1179.2
2009199177.1
2008198.1180.3
2007196.8178.9
2006198.2177.5
2005196.7177.9
2004200.3177.6
2003195.3177.4
2002196.6175.6
2001199178.1
2000197.2176.4
1999196.4173.2
1998194.7173.4
1997194.4173.8
1996191.4172
1995189.9169.2
1994188.8170.4
1993185164.6
1992180.5165.9
1991191.7169.2
1990191.5172.7
1989190.3168.9
1988190.7166.8
1987190.8167.3
1986189.7169.4
1985187.4166
1984189.1165
1983182.3163.5
1982186.7164.7
1981188.4168.9
1980189166.8
1979189.8165.3
1978186.8164.8
1977187.4165.6
1976185.8165.9
1975183.6161.2
1974185.5162.9
1973187.5163.7
1972184.8163.7
1971185.2160.4
1970184.9162.5
1969184.3161.3
1968183.7162.7
1967182.3159.5
1966186.2159.5
1965182.9159.5
1964180.6159.9
1963183.1160.2
1962187.3163.2
1961188.7163.7
1960187.1165.7
1959186.5164.4
1958187.1164.1
1957186.2165.5
1956187.9163.6
1955185.9162
1954185.7161.2
1953185162.5
1952186.1163.4
1951187.1161.2
1950186.9161.6
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份缅甸沙特阿拉伯
2015205.2186.4–218.9184.9169.4–198.7
2016202.8186.2–218.8183167.7–195.7
2017203.4187.3–218.3182.6168.1–196.7
2018205.5190.9–219.9186.8173.1–199.4
2019205.2186.7–222.2184.1168.8–199.1
2020208.2188.5–223.5185.3171.8–198.9
2021208.9191.2–224.1188.6173.6–202.8
2022209.9192.7–224.9187.6170.7–202
2023210.6195.4–226.3188.6173–203.8
2024210.4193.8–226.6187.1172.9–203.9
2025209.9190.3–225.2191.5176–206.1
2026212.2194.3–229.2191.8177.1–205.5
2027212195.6–228.6191.2176.6–206.8
2028213195.7–227.2191.9175.5–205.1
2029215.3193.9–231.9192.2176.6–205.7
2030212.2194.9–228193.3178.4–206.3
2031214.3197.2–230.8194.7179.1–207.6
2032215199.3–229.6192.2175.2–206
2033215.5198.5–230.1192.6177.5–206.9
2034214.9198.4–233.5196.7181.6–213
2035214.9199.2–236.8196.5179.9–211.6
2036216198.7–234.5194.1180–209.7
2037217.2199.6–233.5197183.7–209.9
2038220.7204.8–235.1198.4182.3–213.3
2039219.7202.4–234.3198184.4–213.6
2040219.2202.9–235199.2182.1–212.7
2041220.7203.9–237.7197.7181.4–211.7
2042221.8206.1–237.2198.3181.2–217
2043219.5201.2–237.1198.2182.3–215.3
2044221.4201.6–239.6199.2185.5–213.5
2045223.7204.8–241.5202187.1–216.8
2046223.2203.2–240.2204.1185.3–219.4
2047224.3204.8–241.1204.1187.4–220
2048226.4207.7–243.8206.1190.7–220
2049226.5205.6–242.8201.6187.7–216.2
2050227209.3–243.5205.7190.2–219.3
2051229.6212.4–246.4204.3188.8–222.1
2052227.2208.6–244.2203.8189.6–218
2053227.9208.7–247.7203.8186.3–218.8
2054227.9209.6–244.8207.6188.3–222.3
2055229.1209.8–247.5207.8190.8–221
2056231.8210.4–252.1203.7186.6–220.1
2057228.6208–249207.5188.8–224.2
2058228.9208.8–249205.9189.2–221.4
2059230.7212.1–247.5207.3191.6–226.9
2060234.7211.1–251.5206.9192.7–222.8
2061231.9213–247.7206.5190.4–220.9
2062233.6209.9–252.8208.1189.4–228.3
2063233215.4–250.5210.4193–227.1
2064233.2214.4–251.3207.5191.9–223.3
2065230.7210.4–250.7208.9193.9–226.1
2066233.5214.3–251.2210.3194.9–228
2067233211.5–253.3210.9193.1–228.6
2068233.1212.4–253.7209.8194.6–228.6
2069236.1214.6–253.4208.9194.5–226.3
2070235.9218.1–253.4211.2191.2–229
2071235.1213.5–259.6215.1196.3–233.3
2072234.6216.1–252.6213.6195.3–229.3
2073237.2219.3–257.2213.7194.1–231.6
2074236.4215.7–254.5210.5191.9–229.3
2075236.7214.4–255.9212.1196.6–231.8
2076237.7216–257212.8194.8–230.3
2077237.5219–258.7215.1196.6–233.9
2078238.5217.3–257.8215.5197.6–230.7
2079238.5219.2–257.2213.6197–229
2080240.5218.8–258.3213.6197.1–233.9
2081240219.7–260.9214.7194.4–231.6
2082239.4217.1–258.8214198.9–230.9
2083239.1220.5–259.2214.2198.5–238
2084241.3218.9–260.6217.4197.4–233.1
2085241.7218.8–260.7217.4199.6–237.9
2086241.7217.4–262.7217197.4–237.4
2087241.4220.5–260.9217.3199.7–238.7
2088241.8222.3–261.5216.1198.2–243.1
2089240.7221.2–262.6217.6199.5–239
2090241.3224.4–260.9217.3198.5–239.2
2091242.6220.3–262.5218.5202.8–238.4
2092241.9221.6–263.3218.5198.5–241.6
2093242.1220.2–260216.6197.8–236.3
2094242.5222.5–261.9218.8202–236.9
2095244.9224–264.4219.4204.2–237.4
2096243.9221.1–266.5219.9197.7–239.6
2097243.6219.6–264.2216.7196.8–239.7
2098243.6222.5–263.9219.7199.6–241.3
2099244.7221.8–263.5216.8200.8–236.8
2100244.5223.2–261.8218.7202.3–241

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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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