以色列与缅甸对比

以色列与缅甸：热带夜

2014 年热带夜：以色列为 97.9 夜，缅甸为 201.9 夜（CMIP6 气候模型中位数模拟）。 2014 年缅甸的数值较高，高出 104 夜，是以色列的 2.06 倍。

在地图上查看其变化

每年夜数 · CMIP6

以色列与缅甸：热带夜2014 年热带夜：以色列为 97.9 夜，缅甸为 201.9 夜（CMIP6 气候模型中位数模拟）。 2014 年缅甸的数值较高，高出 104 夜，是以色列的 2.06 倍。
以色列缅甸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 年以色列为 149.4 夜，缅甸为 244.5 夜。

逐年数据

每年夜数 · CMIP6

年份以色列缅甸
201497.9201.9
201398203.1
201296.3201.1
201196.1200.9
201095.5202.1
200992.5199
200894.1198.1
200792.7196.8
200692198.2
200592.3196.7
200490.7200.3
200393.9195.3
200289.5196.6
200191199
200089.5197.2
199986.2196.4
199884.8194.7
199784.2194.4
199683.7191.4
199579.3189.9
199480.1188.8
199371.6185
199274.9180.5
199178.4191.7
199080.2191.5
198976.9190.3
198876.5190.7
198775.1190.8
198678.3189.7
198574187.4
198469.4189.1
198368.9182.3
198273.5186.7
198173.5188.4
198075.3189
197968.7189.8
197871.6186.8
197772.3187.4
197673.2185.8
197570.9183.6
197472.5185.5
197371.9187.5
197269.9184.8
197173.1185.2
197071.6184.9
196970.6184.3
196869.6183.7
196766.9182.3
196668.8186.2
196563.5182.9
196466.1180.6
196370.9183.1
196273187.3
196171.5188.7
196074.9187.1
195975186.5
195873187.1
195774.8186.2
195674.3187.9
195572.8185.9
195471.4185.7
195373.7185
195272186.1
195175.1187.1
195069.5186.9
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份以色列缅甸
2015105.988.4–122.7205.2186.4–218.9
2016104.186.9–120.1202.8186.2–218.8
2017107.892.2–121.4203.4187.3–218.3
201810993.8–124.2205.5190.9–219.9
201910989.1–124.5205.2186.7–222.2
2020111.594.8–123.5208.2188.5–223.5
202111097.7–128.4208.9191.2–224.1
2022111.493.6–130.2209.9192.7–224.9
2023117.297.9–130.5210.6195.4–226.3
2024114.5100.4–127.3210.4193.8–226.6
2025116.698.3–129.2209.9190.3–225.2
2026115.9104.9–126.2212.2194.3–229.2
2027115.699–127.1212195.6–228.6
2028116.3100.2–127.9213195.7–227.2
2029117103.1–129.2215.3193.9–231.9
2030118.6102.1–131.2212.2194.9–228
2031116.8104.4–132.8214.3197.2–230.8
2032121.4106.5–134.7215199.3–229.6
2033122.1108.9–134.7215.5198.5–230.1
2034119.7103.1–133.4214.9198.4–233.5
2035122.8105.8–138.8214.9199.2–236.8
2036120.2105.5–136.2216198.7–234.5
2037121.6106.3–139.4217.2199.6–233.5
2038126.5105.7–142.1220.7204.8–235.1
2039127.7110.5–147.1219.7202.4–234.3
2040124.2109.7–144.9219.2202.9–235
2041126108.4–141.5220.7203.9–237.7
2042128.5105.8–144.3221.8206.1–237.2
2043126.5111.8–144.3219.5201.2–237.1
2044125.9108.5–142.9221.4201.6–239.6
2045130.9117.5–148.6223.7204.8–241.5
2046131114.4–147.2223.2203.2–240.2
2047132.3116.1–145.4224.3204.8–241.1
2048129.9118.5–146.9226.4207.7–243.8
2049127.9108.7–143.9226.5205.6–242.8
2050133.3114.3–147227209.3–243.5
2051130.3116.7–143.9229.6212.4–246.4
2052130.3119.9–143.5227.2208.6–244.2
2053135120.4–149.7227.9208.7–247.7
2054134.1118.8–149.3227.9209.6–244.8
2055134.1115.2–150.3229.1209.8–247.5
2056136110.1–151.1231.8210.4–252.1
2057132.7110.9–155228.6208–249
2058135.7119.1–155.4228.9208.8–249
2059138.8118.5–156.7230.7212.1–247.5
2060136.1116.3–159.2234.7211.1–251.5
2061136119–150.7231.9213–247.7
2062139118.7–156233.6209.9–252.8
2063137.4120.1–151.2233215.4–250.5
2064139.3121–154.3233.2214.4–251.3
2065139.6122.3–154.3230.7210.4–250.7
2066137.3119.6–153.7233.5214.3–251.2
2067142.8126–157.8233211.5–253.3
2068141.2122.8–156.4233.1212.4–253.7
2069141.5123.7–157.6236.1214.6–253.4
2070141.8120.5–157.5235.9218.1–253.4
2071142.9124.3–161.8235.1213.5–259.6
2072144.3127–158.5234.6216.1–252.6
2073143.6127.3–159.2237.2219.3–257.2
2074138.8123–162.2236.4215.7–254.5
2075138.1120.8–154.6236.7214.4–255.9
2076143.2126.8–161.5237.7216–257
2077142.8120.5–161.6237.5219–258.7
2078143.6128.2–160.6238.5217.3–257.8
2079148.6123.7–160.2238.5219.2–257.2
2080145.5123.5–163.7240.5218.8–258.3
2081143.7128.1–161.2240219.7–260.9
2082145.8129.5–160.6239.4217.1–258.8
2083149.4126–163.1239.1220.5–259.2
2084148128.2–164241.3218.9–260.6
2085149127.9–162.4241.7218.8–260.7
2086148127.4–167.1241.7217.4–262.7
2087146.4123.7–165.7241.4220.5–260.9
2088147.6133.5–165.3241.8222.3–261.5
2089148.4131.4–169.1240.7221.2–262.6
2090147.6132.4–168.8241.3224.4–260.9
2091151.9131.7–170.6242.6220.3–262.5
2092148.2132–167.4241.9221.6–263.3
2093154.1135.3–172.2242.1220.2–260
2094153.2133.6–170.3242.5222.5–261.9
2095148.2131.4–164.1244.9224–264.4
2096150.5130.5–172.6243.9221.1–266.5
2097149.8134.4–172.7243.6219.6–264.2
2098150.9131.3–170.1243.6222.5–263.9
2099149.5129–166.6244.7221.8–263.5
2100149.4130.1–168.5244.5223.2–261.8

分别查看各国

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。

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