Rio Grande do Sul

Xangri-lá, Brazil Climate

NASA POWER reanalysis for the half-degree grid cell around Xangri-lá, 1991-2020; a grid cell is an area average and can differ from a thermometer in town by several degrees

The warmest month is February, with an average high of 26°C; the coldest is July, with an average low of 13°C. A normal year brings 1534 mm of precipitation.

Temperature through the year

The normal daily high and low. The line marks today.

Normal daily high and low temperature at Xangri-lá through the year, in °C, with the record for each date.010203040JanFebMarAprMayJunJulAugSepOctNovDec
  • Normal low
  • Normal high
  • Reanalysis extreme high
  • Reanalysis extreme low

Normals for Sep 27

Normal high
19°C
Normal low
16°C
Reanalysis high
23°Cin 2017
Reanalysis low
12°Cin 2016
Chance of a wet day
51%
Daylight
12 h 16 min

Month by month

Averages for 1991-2020. Wet days have at least 1 mm of precipitation in the reanalysis. Each month links to its own page.

MonthAvg highAvg lowWarmestColdestPrecipitationWet days
January26°C23°C33°C (2019)17°C (2004)130 mm18.6
February26°C23°C33°C (2014)18°C (2008)130 mm17.0
March25°C22°C31°C (2002)15°C (2012)115 mm15.5
April23°C20°C29°C (2016)11°C (1999)99 mm12.0
May20°C17°C28°C (1991)7°C (2007)121 mm12.4
June18°C15°C25°C (2005)7°C (2012)120 mm12.0
July17°C13°C25°C (2006)6°C (2000)152 mm12.4
August18°C14°C25°C (1997)6°C (1991)124 mm12.4
September19°C15°C28°C (1994)8°C (2006)150 mm15.0
October21°C17°C30°C (1991)11°C (1999)158 mm15.5
November22°C19°C30°C (1991)13°C (1992)111 mm12.0
December24°C21°C32°C (1995)16°C (2011)124 mm15.5
Year22°C18°C1534 mm170

Precipitation

Rain and melted snow together. The chance of a wet day is the share of days with at least 1 mm of precipitation in the reanalysis.

1534 mm in a normal year, most in October.

Chance of a wet day

The chance of at least 1 mm of precipitation in the reanalysis on each date at Xangri-lá, in percent.020406080JanFebMarAprMayJunJulAugSepOctNovDec
  • Chance of a wet day

Humidity and comfort

NASA POWER reanalysis, 1991-2020, for the grid cell around Xangri-lá.

The muggiest month is February, when 84 percent of days are muggy or worse, with a mean dew point of 18°C or more.

MonthDew pointHumidityDryComfortableHumidMuggyOppressiveMiserable
January21°C82%0%3%14%36%42%5%
February21°C82%0%3%13%33%44%7%
March20°C81%0%5%19%38%35%3%
April18°C81%7%14%28%36%15%0%
May15°C82%21%28%32%18%1%0%
June13°C83%39%29%28%5%0%0%
July12°C84%46%34%20%0%0%0%
August13°C85%40%34%24%1%0%0%
September14°C85%31%33%32%5%0%0%
October16°C84%15%27%34%24%0%0%
November17°C82%7%21%33%34%5%0%
December19°C82%1%8%25%38%27%1%

Comfort is judged by the day's mean dew point: dry below 13°C, comfortable to 16°C, humid to 18°C, muggy to 21°C, oppressive to 24°C, miserable above.

Clouds

Average share of the sky covered, from satellite (CERES and GEWEX SRB) by way of NASA POWER, 1991-2020.

The clearest month is August, with the sky 58 percent covered on average; the cloudiest is October, at 70 percent.

Wind

The mean wind speed over the whole day, from the MERRA-2 reanalysis by way of NASA POWER. Gusts run well above it.

The windiest month is October, averaging 21.6 km/h at 10 meters (33 feet) above the ground.

Daylight and sunshine

The longest day is Dec 16, with 14 h 04 min of daylight; the shortest is Jun 18, with 10 h 13 min.

Hours of daylight at Xangri-lá through the year.0510152025JanFebMarAprMayJunJulAugSepOctNovDec
  • Day length

Solar energy

Average daily sunshine reaching the ground on a flat surface, in kilowatt-hours per square meter, clouds included.

Sunrise and sunset calendar

Month pages

The weather in Xangri-lá in each month, day by day.

What this means

A normal is the average of the thirty years 1991 to 2020, the period the World Meteorological Organization and NOAA use for comparison. It is an average, not a forecast: most days depart from it, and some by a long way.

Where no station record is within reach, the extremes shown are the highest and lowest the reanalysis produced for the date in 1991-2020, not measured records.

Cloud, humidity, wind and sunshine come from a reanalysis: a weather model run over the past with every observation fed in, averaged over a grid cell about 50 km across. It is consistent everywhere on Earth; it smooths local detail such as a lake shore or a valley.

More for this place

Nearby

Sources

Cloud, humidity, wind and sunshine, and temperature and precipitation: NASA POWER (MERRA-2, CERES and GEWEX SRB), 1991-2020. The data was obtained from the National Aeronautics and Space Administration (NASA) Langley Research Center's Prediction Of Worldwide Energy Resources (POWER) project funded through the NASA Earth Science Division: POWER Daily API v2, accessed 2026-09-25. Sun and moon: computed with the NOAA solar equations and Meeus.