印度与苏丹对比

印度与苏丹:35 °C 以上天数

2014 年35 °C 以上天数:印度为 80.6 天,苏丹为 184 天(CMIP6 气候模型中位数模拟)。 2014 年苏丹的数值较高,高出 103.4 天,是印度的 2.28 倍。

每年天数 · CMIP6

印度与苏丹:35 °C 以上天数2014 年35 °C 以上天数:印度为 80.6 天,苏丹为 184 天(CMIP6 气候模型中位数模拟)。 2014 年苏丹的数值较高,高出 103.4 天,是印度的 2.28 倍。
印度苏丹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,苏丹的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年印度为 111.9 天,苏丹为 230.7 天。

逐年数据

每年天数 · CMIP6

年份印度苏丹
201480.6184
201379.2179.8
201281.3180.9
201179.9183.5
201080.8181.3
200978.4175.7
200877173.9
200779171.9
200676.2171.2
200579.9169.5
200480.1171.6
200376.9172.7
200279.2173.6
200180.1177.8
200076.6170.3
199977.1170.7
199876.9166
199775.4169.3
199672.1165.5
199575.4165.1
199476.3162.2
199372.3154.5
199268.7154.3
199178.1165.3
199076.7166.6
198975.5164.1
198873.9164.2
198775.3163.3
198676.8166.1
198573159.7
198475.9158
198374.1157
198276.1155.1
198176.3162.1
198075.3161.1
197974.4160.4
197874.4155.5
197774.6157.9
197676157.3
197571153.9
197475.8155.3
197377.9161.4
197271.1156.2
197174.1153.4
197073.7156.8
196973.3153.8
196872.2154.6
196771.3148.4
196675.3153
196573.7154.2
196468.9148.7
196370.4146.1
196274.2155.9
196175.4158.5
196075.4161.3
195977.9158.4
195874.8156.7
195775.5159.4
195675.6157.7
195574.8154.7
195475.3158.7
195375.2156.3
195276156.1
195176.3158.9
195076.5155.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份印度苏丹
201581.664.7–96183.4158.5–201.6
20168063.1–96.1179.1156.3–200.8
201779.461.7–95.3184.1159.3–204.4
201882.461.5–95.7178.9156–204.1
201979.160.2–95.2181.9158.3–204.8
202082.262.4–99182.3159.2–205.5
202182.167.7–96.4183.1159.4–206.8
202283.962.8–100.3187.9165.4–207.6
202383.164–99.3185.3162.7–207.9
202484.766.4–100.3192.2168–211.3
202581.662.4–97.1188.6166.8–209.3
202684.866.1–101.3188.5157.9–211.8
202783.563.7–102189.2157–211.6
202882.862.9–99.9189.6162.9–211.3
202989.566–105.9190.4166.6–209.3
203084.265.7–100.2191.6170.8–214.6
203185.466.7–103.4192.2167.3–218
203285.665.5–105.3191.2169.9–210.3
203383.865.8–99.8195.3172.4–216.8
203485.467.4–104.8197.1168.8–222.4
203585.766.6–105.3196.4168.7–221.2
203684.565.5–101.8191.3171.4–213.6
203789.772.2–107.5198173.5–220.2
203890.269.1–107.1200.4179.8–221.2
203987.168.5–107.4199.5171.5–218.6
204087.566.6–106196.3172.7–217.9
204189.171.2–107.8202.2174.1–221.8
204295.475.7–112.9201.6175.8–224.1
204391.270.1–111.1198.7169.7–224.3
204490.471.6–110.9198.3173.4–222.2
204591.772–108.5203.4179.1–224.6
204695.469.1–117210.2177.8–229.9
204794.272.6–113.5206.2180.9–228.4
204897.673.2–120.5204.6180–231.3
204995.173.8–117.5204.3178.2–227.3
205094.474.5–117205.3180.8–234.5
205194.775.8–114.7206.2186–229.8
205296.876.1–116.5209182–231.9
205394.673.9–116.7208.7181.2–230.7
205496.574.3–117211180.1–231.4
205599.175.7–118212.3184–233.5
205699.173.7–118.2208.5182.4–235.7
2057100.371.9–123.9213.2186.4–240.1
205897.775.1–121.5213.4183–233.4
2059102.380.5–127.4214.6189.2–242.4
206010380.3–124.4213.7189.1–241.7
2061100.978.4–122.6214.5186.1–239.4
2062100.175.4–126.5214.4187–241.2
2063100.678.3–122.1212.5181.1–235.9
206410081–123.3214.9189.9–242.2
2065103.580.5–128.2217.2195.4–238.5
2066100.780.7–124.6217.1190.9–246.3
206799.678.4–126216.5188.1–243.9
2068102.780.1–130.1216.7193.9–247.6
206910477.5–128.1216.1187.6–243.2
2070101.179.7–125.6219.4189.5–241.3
2071105.581.4–132.1224.1190.5–247.8
2072104.384.4–128.2222.3196.2–245.1
2073108.485.4–130221.8196.1–246.8
2074105.182.9–126.8218.1183.5–249
2075102.578.8–126221.9188.6–243.6
2076105.582.2–134.6222.4196.4–250.8
2077107.484.1–132.6225.8194.6–252.8
2078107.382.8–127.7224.1196.8–250.7
2079105.379.7–127.2220.7194.1–245.3
2080109.784.5–135.9225.9191.3–250
2081108.986.2–134.4225.1197.7–250.3
2082105.783.4–133.6222.6195.3–249.8
2083110.287.8–135.8228.1199.6–251.9
2084111.582.3–138.1224.5194.9–252.9
2085112.381.2–143.6226.3199.3–251.5
2086107.882.8–141.1225.2193.1–258.3
2087107.980.1–134222.9190.2–250.1
2088107.984.4–143.1220.4194.2–256.8
2089107.981.7–137.3227195.7–249.8
2090108.883.9–136.6229198.7–254.5
2091113.486.9–144227196.4–254.1
2092113.587.1–142.8227.2200.5–253.1
2093108.482.7–144.8227.5203–252.1
2094111.386.8–139.5231.9201.3–256
2095114.186.4–143.6228.4202.1–255
209610880.4–140.3226.4198.4–255.9
2097110.385–137.8225.9196.5–255.7
2098113.687.7–141.1227.8194.4–253.4
2099112.585.3–137.7229.5200.7–257.4
2100111.986.8–138.7230.7199.7–256.7

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须知

  • 一年中最高气温超过 35 °C 的天数,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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