Indonesia vs Timor-Leste

Indonesia vs Timor-Leste: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 296.8 nights in Timor-Leste, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 9.7 nights, or 1.03 times that in Timor-Leste.

nights a year · CMIP6

Indonesia vs Timor-Leste: Tropical nightsTropical nights in 2014: 306.5 nights in Indonesia and 296.8 nights in Timor-Leste, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 9.7 nights, or 1.03 times that in Timor-Leste.
IndonesiaTimor-LesteCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Indonesia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Indonesia at 334.7 nights and Timor-Leste at 335.3 nights in 2100.

Every year

nights a year · CMIP6

YearIndonesiaTimor-Leste
2014306.5296.8
2013306.4294.6
2012306.3293.8
2011304.6291.8
2010305.6295.1
2009303.9289.6
2008303.4292.4
2007302.8293.9
2006302.8291.4
2005303.1293.2
2004303.8290.7
2003301.9288.7
2002301.5290.9
2001302.5290.6
2000300.9285.9
1999300.4291.4
1998299.1281.9
1997297.9278.3
1996296.9282.4
1995296.7280.4
1994294.6278.8
1993291.6273.8
1992288.5267.1
1991297.5283.9
1990298.6285
1989296279.4
1988296.5281.3
1987295.6280.1
1986295.8281.4
1985292.8275
1984293.4277.7
1983290.1273.3
1982294.4278.9
1981294.8277.7
1980294.5276.7
1979294.1278.6
1978292.4273
1977293.4273.8
1976290.8270.4
1975290.7274.7
1974291.5275.6
1973293276.2
1972290.7273.6
1971291.2272
1970288.9270.8
1969290.4271.4
1968289.1270.9
1967288.4269.9
1966290.5272.6
1965288.1268.4
1964286.2265.2
1963286.4265.5
1962291.2270.6
1961292.9276.7
1960292.8275.2
1959291.9274.8
1958293.3275.9
1957290.8269.1
1956291.5275.9
1955292.4275.1
1954290270.3
1953291.4269.9
1952291.7270.5
1951291.7275.4
1950291.8272.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndonesiaTimor-Leste
2015308295.7–315.1304.1283.3–313.9
2016307.5296.9–315.6301.4281.8–315.4
2017308.4295.5–315.6301270.7–316.9
2018308.9296.4–316.6300.7276.1–315.1
2019309.9297.8–316.7306.7286.8–318.1
2020310.9299–318.6305.1288.6–320.7
2021310.4298.7–316.4303.8280.5–318.3
2022311.4300–319.6305.9284.6–320.5
2023311.4300.1–320.6305.9286.1–324.9
2024313.2302–321.2310291.3–324.3
2025312300.2–321.9309.2288.4–325.6
2026312.6299.9–322.8307.7291.2–321.4
2027312.7301–321.6309.2292.1–320.5
2028313.8302.4–321.9312.1290.1–324.5
2029315.5303.9–324.1314.1295.1–326.9
2030314.2303.1–322.6309.5292.8–325.8
2031314.4301.6–321.9308.3286.2–318.9
2032316.9304.8–325.8314.2292.7–330.2
2033316.6305.4–323.3315.1300.2–331
2034315.4303.9–323.9311.2293.1–326.5
2035316.3305.6–327.9316.3297.6–331.2
2036317.7305.2–326.2319.2299–332.9
2037318.1306.6–325.2312.1291.5–326.5
2038319.3307.6–326.7318.1296.7–332.9
2039319.4307.7–326.7319.1304.5–329.2
2040318.5306.5–329316.3296.4–330.6
2041320.2308.3–328318.1299.9–331.2
2042320308.7–329.2320.1301–333.9
2043318.6306.6–327.8317.1295.4–331.8
2044321309–329.6324.2307.3–335.8
2045320.8308.6–329.8321.2300.5–333.1
2046322.8308.8–331318.6303.6–331.6
2047323.2308.8–333323.8301.6–337
2048322.3310.5–332.3321.4302.3–336.6
2049323.8311.6–334.1323.6300.9–334.7
2050323.3310.3–333.5325.9307.6–338.8
2051323.6311.2–334.4327.1311.5–339.7
2052325.1311.7–334.7327.7309.8–338.7
2053323.9310.9–333.8327.4304.9–337.2
2054324.4311.9–335.4322.5307.9–334.4
2055325.3312.6–335326304.6–342.5
2056325.9312.4–337.2330.1310.5–342.2
2057326.9311.9–335.2328307.6–337.6
2058326.4313–336.3330.6305–342.5
2059326.4313.9–337.8328.4307.3–341.5
2060329.5314.9–338.2330.7311.8–346.5
2061327.9313.6–336.9330.6310.7–346
2062327.6312.4–339.1329.3305–342.4
2063327.6313.9–339.4328.9311.5–344.5
2064328.8314.4–338.6332.2317.4–347.2
2065327.6314.3–337.9327.5312.2–343.4
2066328.6314.7–338.5330.4302.9–342.8
2067328.8314.3–338332310.7–342.4
2068329.8314.4–339.9331.7313.6–348
2069329.5315.5–339.3334.9317.4–350.2
2070328.6315.1–338.8329.9316.1–349.4
2071331.4315.5–340.4333.3313–346.2
2072330.3315.9–339.4331.6310.3–346.3
2073331.4317.7–341333309.8–342.6
2074329.9316.8–341.1335.6314.8–344.3
2075330.5315.2–340.2335.1317.4–349.2
2076331.5316.2–341.2334.5307.5–346.9
2077332315.9–341.8335313–344.8
2078331.4318.2–340.9335313.6–349.7
2079331.5316.6–341.5333.1318.1–344.7
2080332.4317.4–343.2335.2313.4–352.6
2081332.3318.4–341.8338.6318.6–349.6
2082332.8317.8–340.4335.1315.8–344.6
2083333.1318.7–342.6338.2318.5–355.3
2084333317.8–342.7334.9311.5–352.6
2085332.6318.1–342.7335.3315.9–348.1
2086333.1318.9–342.3336.3317–348.4
2087332.6318–343.2337.3315–348.5
2088334.5319.5–343.1338.6318.5–349.1
2089333.6319–342.6336322.3–348.7
2090333.3319.6–343.3338.3313.8–347.3
2091334.5318.2–343.9337.5312.9–351.9
2092335.1319.7–343.6336.9313.9–350.7
2093333.9320–344.9337.5323.4–353.9
2094335.6320.4–342.8338.9318.6–352.5
2095335.4319.7–343336.7318–348.8
2096334.3319.4–346.1338.4317.3–351.8
2097334.2319.5–343.3335.1319.1–348.6
2098334.9319.4–343.4335.5318.9–351.8
2099334.4319.4–344.6340.3317.9–355.3
2100334.7318.7–343.3335.3316.4–351.8

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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