加拿大与印度对比

加拿大与印度:热带夜

2014 年热带夜:加拿大为 0.5 夜,印度为 215.5 夜(CMIP6 气候模型中位数模拟)。 2014 年印度的数值较高,高出 215 夜,是加拿大的 410 倍。

每年夜数 · CMIP6

加拿大与印度:热带夜2014 年热带夜:加拿大为 0.5 夜,印度为 215.5 夜(CMIP6 气候模型中位数模拟)。 2014 年印度的数值较高,高出 215 夜,是加拿大的 410 倍。
加拿大印度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,印度的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年加拿大为 4.1 夜,印度为 250.4 夜。

逐年数据

每年夜数 · CMIP6

年份加拿大印度
20140.5215.5
20130.4216
20120.5217.4
20110.5215.5
20100.4215.2
20090.5213.7
20080.4213.7
20070.4213.3
20060.5212.5
20050.4212.9
20040.4214.9
20030.4212.1
20020.4213
20010.3212.2
20000.3210.8
19990.4211.9
19980.3210.3
19970.3209.5
19960.3207
19950.3208.8
19940.2207.1
19930.2206
19920.1203.5
19910.2208
19900.3209.9
19890.2208
19880.2207.3
19870.2207.2
19860.2207.2
19850.2205.9
19840.2206.7
19830.1203.3
19820.1205.7
19810.2208.4
19800.2205.3
19790.2205.5
19780.2204.1
19770.2205.9
19760.1204.6
19750.3202.6
19740.2205.3
19730.2205.6
19720.2203.8
19710.1203.6
19700.2202.6
19690.1203.6
19680.1201.7
19670.1201.6
19660.2203.9
19650.2202.4
19640.1201.2
19630.2201.8
19620.2203.8
19610.3206.3
19600.2206
19590.2206.1
19580.2204
19570.2206.5
19560.2204
19550.2203.2
19540.2206
19530.1204
19520.2204.4
19510.2204.3
19500.2206.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份加拿大印度
20150.60.1–1.9216.9202.1–228.4
20160.60.2–1.9215202.5–227.6
20170.60.1–2216.2202.1–228.5
20180.60.2–1.8218.3204.5–231.4
20190.60.2–1.9217.4202.3–230.4
20200.60.1–2217.6203.1–232
20210.60.1–1.9219.7204.5–233.2
20220.80.3–2.3220.5205.8–233
20230.80.2–2.5220.4206.4–233.7
20240.70.1–2.6222.6208.1–236.3
20250.90.2–2.5219.7202.7–236.2
202610.2–3.1220.2204.2–236.8
20270.90.2–3.3223.6207.1–239
202810.3–2.6222.1205.1–235.7
202910.3–3225.4210–240.3
203010.2–2.7222.7207.3–235.6
20310.90.2–2.7223.8207.1–237.8
20321.10.3–3.3225.9210–240.5
20331.10.4–3223.8209.3–235.4
20341.10.3–3.1225.8210–242.7
20351.30.3–3.8224.9210.6–240.9
20361.30.3–4224.2210.4–240.3
203710.3–3.3228.3213.6–242.6
20381.10.3–3.9228.1212.6–241.4
20391.10.3–3.5227.4211.9–242.8
20401.40.3–4.9227212.2–242
20411.30.4–3.7227.1210.7–240.5
20421.20.4–3.9229.1214.8–244.2
20431.20.3–4.5228.9214.5–244
20441.60.5–4.3229.7214.7–244.2
20451.40.4–4.2231.2216.6–246.1
20461.60.4–4.9232.6216.2–248.6
20471.70.6–4.8232.4215.5–250
20481.60.5–4.1235.6218.5–254.3
20491.60.4–5235.3218.3–249.9
20501.70.4–5.2233.5216.6–253.4
20511.80.5–6234.9218.6–249.9
205220.3–5.2234219.4–249.3
20531.50.3–4.9234.9219.5–252.5
20541.80.4–5.7237.2219.4–253.1
205520.5–5237.2220.7–256.6
20561.90.5–5.8238.8221.2–254.9
205720.5–5.8235.7218.5–253.8
20582.10.5–6.4238.8222.8–254.1
205920.6–5.9241.1224.9–256.2
20602.50.8–5.6240.9225.6–255.6
20612.40.6–6237.9220.6–253.7
20622.60.4–6.4239.9221.2–259.7
20632.20.6–6.4239.9222.3–256.1
20641.70.4–6240223.8–256.3
20652.40.5–7240.9222.9–257.3
20662.30.5–7.4241.5224.1–258.6
20672.40.6–6.3241.6224.8–257.9
20682.50.5–7.9242.3224.6–262.1
20692.90.8–7242.8225.4–259.1
20702.30.7–7.2240.1225.3–257.1
20712.40.5–7.3241.8223.7–260.2
20722.50.7–7.2242.6225.4–259.2
20732.60.6–7.6243.8228–259.3
20742.60.7–7.6241.6226.9–258.4
20752.60.6–7.7243.5226.4–258.2
20762.80.7–7.9243.2224.6–259.9
20772.90.7–8.5243.7226.6–264.6
20782.60.8–8.4246.7230.1–261.5
207930.7–7.4244.9226.4–261.3
20802.70.8–7.5246.7227–263.7
208131–8.6247.5230.4–264.8
20823.40.7–9.1244.6227.9–262.3
20833.21–9.4247.5227.8–265.1
20842.90.8–8.4247.3228.3–266.8
20853.51–9.1246.5227.5–267.1
20863.51–9.4245.6227.7–266.5
20873.80.9–9.5245.5226.7–266.2
20883.60.7–9.2247229.4–266.9
20893.40.9–8.5248.1230–266.3
20903.30.8–9249228.9–266.4
20913.91–10.6248.9230–266.5
20923.91–10249.8232.3–267.8
20933.61–9.6248.1229–266.5
20943.90.6–9.2249.1230.6–268.4
20953.71.1–11.2251233.2–270
20963.91.1–10.7247.8231.4–269.3
209741.1–10.7251.1231.4–268
20983.71.1–10.2252.3230.8–268.3
20993.81.3–9.7248.7230.1–268.3
21004.11–11.5250.4232.9–266.7

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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。

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