缅甸与坦桑尼亚对比

缅甸与坦桑尼亚：热带夜

2014 年热带夜：缅甸为 201.9 夜，坦桑尼亚为 106.3 夜（CMIP6 气候模型中位数模拟）。 2014 年缅甸的数值较高，高出 95.6 夜，是坦桑尼亚的 1.9 倍。

在地图上查看其变化

每年夜数 · CMIP6

缅甸与坦桑尼亚：热带夜2014 年热带夜：缅甸为 201.9 夜，坦桑尼亚为 106.3 夜（CMIP6 气候模型中位数模拟）。 2014 年缅甸的数值较高，高出 95.6 夜，是坦桑尼亚的 1.9 倍。
缅甸坦桑尼亚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，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，坦桑尼亚为 208 夜。

逐年数据

每年夜数 · CMIP6

年份缅甸坦桑尼亚
2014201.9106.3
2013203.1105.5
2012201.1108.4
2011200.9109
2010202.1103.9
2009199101.1
2008198.1100.3
2007196.899.5
2006198.2100.4
2005196.798.7
2004200.3100.4
2003195.399.6
2002196.698.4
2001199101.5
2000197.294.9
1999196.494.2
1998194.796.8
1997194.493.5
1996191.489.6
1995189.988.5
1994188.885.4
199318581.2
1992180.580.1
1991191.789.6
1990191.591.1
1989190.389.1
1988190.787.6
1987190.888.5
1986189.789.4
1985187.483
1984189.183.1
1983182.382.1
1982186.784.8
1981188.488
198018985
1979189.885.5
1978186.882.9
1977187.484.1
1976185.881
1975183.680.8
1974185.582.2
1973187.583.6
1972184.881.4
1971185.280.7
1970184.981.8
1969184.379.5
1968183.779.1
1967182.377.5
1966186.278.1
1965182.978
1964180.673.8
1963183.173.1
1962187.381.1
1961188.782.6
1960187.183.9
1959186.581.4
1958187.182.1
1957186.280.9
1956187.980
1955185.981.6
1954185.781.4
195318580.6
1952186.181.4
1951187.182.1
1950186.980.7
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份缅甸坦桑尼亚
2015205.2186.4–218.9114.895.2–137.4
2016202.8186.2–218.8108.391.6–125.6
2017203.4187.3–218.3114.893.6–137.8
2018205.5190.9–219.9116.497.4–137.1
2019205.2186.7–222.2113.495.2–133.2
2020208.2188.5–223.5119.396.2–143.5
2021208.9191.2–224.1119.5100.9–147.1
2022209.9192.7–224.9124.4105.3–147.4
2023210.6195.4–226.3122.1102.1–147.8
2024210.4193.8–226.6126.2100–150.1
2025209.9190.3–225.2124.6100.9–154
2026212.2194.3–229.2126.999.1–155.6
2027212195.6–228.6128102.9–147.7
2028213195.7–227.2129.9106.4–152.1
2029215.3193.9–231.9134.1111–156.5
2030212.2194.9–228129.4106.4–151.1
2031214.3197.2–230.8136.4115.9–158.4
2032215199.3–229.6135.1114–166.8
2033215.5198.5–230.1135.2110.9–161.9
2034214.9198.4–233.5134.7112.5–166.3
2035214.9199.2–236.8140.2114.6–165
2036216198.7–234.5137.8113.3–165.5
2037217.2199.6–233.5142.9121.5–168.9
2038220.7204.8–235.1147.9124.3–169.3
2039219.7202.4–234.3144.3117.6–171.3
2040219.2202.9–235140.5117–178
2041220.7203.9–237.7149.1121.7–175.6
2042221.8206.1–237.2146.3120.5–185.3
2043219.5201.2–237.1144.6117–173
2044221.4201.6–239.6147.7121.2–175.8
2045223.7204.8–241.5150.1125.2–183.4
2046223.2203.2–240.2161.5128.6–192.2
2047224.3204.8–241.1160.2129.7–194.4
2048226.4207.7–243.8158.8132.7–193.1
2049226.5205.6–242.8157.6131.1–196
2050227209.3–243.5159.7127.8–192
2051229.6212.4–246.4163.2135.5–197.8
2052227.2208.6–244.2161.9136.2–199.1
2053227.9208.7–247.7160.6127.5–197.7
2054227.9209.6–244.8163.2131.5–200.2
2055229.1209.8–247.5167.4137–208.3
2056231.8210.4–252.1166.4130.8–209.7
2057228.6208–249168134.6–208.3
2058228.9208.8–249168.7134.9–210.3
2059230.7212.1–247.5174.7144.9–219.5
2060234.7211.1–251.5181.7138.1–219.8
2061231.9213–247.7171.8135.5–218.1
2062233.6209.9–252.8177.5139.9–224
2063233215.4–250.5181.4140.1–213.8
2064233.2214.4–251.3185.3140.1–215.2
2065230.7210.4–250.7183.5141.1–221.8
2066233.5214.3–251.2181.9146.3–219.3
2067233211.5–253.3178.8138.8–229.2
2068233.1212.4–253.7186144.2–228.4
2069236.1214.6–253.4183.7141.7–225.3
2070235.9218.1–253.4180.7140.4–228.2
2071235.1213.5–259.6184.9146.9–235.2
2072234.6216.1–252.6191.3155–226.1
2073237.2219.3–257.2191.6152.4–235.6
2074236.4215.7–254.5183.3149.7–231.7
2075236.7214.4–255.9183.8144.8–233
2076237.7216–257191.1150.9–233.2
2077237.5219–258.7191.3152.6–238.2
2078238.5217.3–257.8189156.6–233.8
2079238.5219.2–257.2190.5147–237.3
2080240.5218.8–258.3197.3150.7–241.2
2081240219.7–260.9195.6153.4–237.4
2082239.4217.1–258.8194.5157.3–237.3
2083239.1220.5–259.2193.2151–249.8
2084241.3218.9–260.6201.1152.2–246.7
2085241.7218.8–260.7204.2162.3–252.3
2086241.7217.4–262.7195156–248.7
2087241.4220.5–260.9196.7160.8–244.5
2088241.8222.3–261.5208.4154.7–246.9
2089240.7221.2–262.6201.3158.6–248.2
2090241.3224.4–260.9197.9160.7–253.6
2091242.6220.3–262.5210161.6–256
2092241.9221.6–263.3205.8158.3–253.6
2093242.1220.2–260207.2161.2–251.9
2094242.5222.5–261.9207.9161.3–250.6
2095244.9224–264.4214.2166.4–258.5
2096243.9221.1–266.5205.3159.8–257.4
2097243.6219.6–264.2206.6158.4–256.8
2098243.6222.5–263.9209.1161–258.3
2099244.7221.8–263.5208.5160.1–256
2100244.5223.2–261.8208158.6–258.6

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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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