January Weather in Ponta Grossa BrazilDaily high temperatures are around 82°F, rarely falling below 75°F or exceeding 88°F. The highest daily average high temperature is 82°F on January 22. Daily low temperatures are around 65°F, rarely falling below 60°F or exceeding 69°F. For reference, on January 22, the hottest day of the year, temperatures in Ponta Grossa typically range from 65°F to 82°F, while on July 21, the coldest day of the year, they range from 50°F to 69°F. The figure below shows you a compact characterization of the hourly average temperatures for the quarter of the year centered on January. The horizontal axis is the day, the vertical axis is the hour of the day, and the color is the average temperature for that hour and day. Agadir, Morocco (4,687 miles away) and Antananarivo, Madagascar (6,135 miles) are the far-away foreign places with temperatures most similar to Ponta Grossa (view comparison). CloudsThe month of January in Ponta Grossa experiences essentially constant cloud cover, with the percentage of time that the sky is overcast or mostly cloudy remaining about 60% throughout the month. The clearest day of the month is January 1, with clear, mostly clear, or partly cloudy conditions 42% of the time. For reference, on February 9, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 64%, while on August 25, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 63%. PrecipitationA wet day is one with at least 0.04 inches of liquid or liquid-equivalent precipitation. In Ponta Grossa, the chance of a wet day over the course of January is essentially constant, remaining around 57% throughout. For reference, the year's highest daily chance of a wet day is 59% on February 11, and its lowest chance is 21% on August 13. RainfallTo show variation within the month and not just the monthly total, we show the rainfall accumulated over a sliding 31-day period centered around each day. The average sliding 31-day rainfall during January in Ponta Grossa is essentially constant, remaining about 6.1 inches throughout, and rarely exceeding 10.0 inches or falling below 3.0 inches. The highest average 31-day accumulation is 6.2 inches on January 11. SunOver the course of January in Ponta Grossa, the length of the day is gradually decreasing. From the start to the end of the month, the length of the day decreases by 25 minutes, implying an average daily decrease of 50 seconds, and weekly decrease of 5 minutes, 47 seconds. The shortest day of the month is January 31, with 13 hours, 15 minutes of daylight and the longest day is January 1, with 13 hours, 40 minutes of daylight. The earliest sunrise of the month in Ponta Grossa is 5:33 AM on January 1 and the latest sunrise is 22 minutes later at 5:56 AM on January 31. The latest sunset is 7:15 PM on January 12 and the earliest sunset is 4 minutes earlier at 7:11 PM on January 31. Daylight saving time is not observed in Ponta Grossa during 2024. For reference, on December 21, the longest day of the year, the Sun rises at 5:27 AM and sets 13 hours, 42 minutes later, at 7:10 PM, while on June 20, the shortest day of the year, it rises at 7:05 AM and sets 10 hours, 35 minutes later, at 5:39 PM. The figure below presents a compact representation of the sun's elevation (the angle of the sun above the horizon) and azimuth (its compass bearing) for every hour of every day in the reporting period. The horizontal axis is the day of the year and the vertical axis is the hour of the day. For a given day and hour of that day, the background color indicates the azimuth of the sun at that moment. The black isolines are contours of constant solar elevation. MoonThe figure below presents a compact representation of key lunar data for January 2024. The horizontal axis is the day, the vertical axis is the hour of the day, and the colored areas indicate when the moon is above the horizon. The vertical gray bars (new Moons) and blue bars (full Moons) indicate key Moon phases. The label associated with each bar indicates the date and time that the phase is obtained, and the companion time labels indicate the rise and set times of the Moon for the nearest time interval in which the moon is above the horizon.
HumidityWe base the humidity comfort level on the dew point, as it determines whether perspiration will evaporate from the skin, thereby cooling the body. Lower dew points feel drier and higher dew points feel more humid. Unlike temperature, which typically varies significantly between night and day, dew point tends to change more slowly, so while the temperature may drop at night, a muggy day is typically followed by a muggy night. The chance that a given day will be muggy in Ponta Grossa is increasing during January, rising from 26% to 31% over the course of the month. For reference, on February 13, the muggiest day of the year, there are muggy conditions 32% of the time, while on August 12, the least muggy day of the year, there are muggy conditions 0% of the time. WindThis section discusses the wide-area hourly average wind vector (speed and direction) at 10 meters above the ground. The wind experienced at any given location is highly dependent on local topography and other factors, and instantaneous wind speed and direction vary more widely than hourly averages. The average hourly wind speed in Ponta Grossa is essentially constant during January, remaining within 0.1 miles per hour of 3.5 miles per hour throughout. For reference, on September 13, the windiest day of the year, the daily average wind speed is 4.1 miles per hour, while on March 4, the calmest day of the year, the daily average wind speed is 3.3 miles per hour. The hourly average wind direction in Ponta Grossa throughout January is predominantly from the east, with a peak proportion of 47% on January 8. Growing SeasonDefinitions of the growing season vary throughout the world, but for the purposes of this report, we define it as the longest continuous period of non-freezing temperatures (≥ 32°F) in the year (the calendar year in the Northern Hemisphere, or from July 1 until June 30 in the Southern Hemisphere). While it does not do so every year, freezing temperatures are seen in Ponta Grossa over some winters. The day least likely to be in the growing season is July 10, with a 77% chance. Growing degree days are a measure of yearly heat accumulation used to predict plant and animal development, and defined as the integral of warmth above a base temperature, discarding any excess above a maximum temperature. In this report, we use a base of 50°F and a cap of 86°F. The average accumulated growing degree days in Ponta Grossa are rapidly increasing during January, increasing by 671°F, from 2,813°F to 3,485°F, over the course of the month. Solar EnergyThis section discusses the total daily incident shortwave solar energy reaching the surface of the ground over a wide area, taking full account of seasonal variations in the length of the day, the elevation of the Sun above the horizon, and absorption by clouds and other atmospheric constituents. Shortwave radiation includes visible light and ultraviolet radiation. The average daily incident shortwave solar energy in Ponta Grossa is essentially constant during January, remaining within 0.1 kWh of 6.6 kWh throughout. TopographyFor the purposes of this report, the geographical coordinates of Ponta Grossa are -25.095 deg latitude, -50.162 deg longitude, and 3,130 ft elevation. The topography within 2 miles of Ponta Grossa contains significant variations in elevation, with a maximum elevation change of 571 feet and an average elevation above sea level of 2,953 feet. Within 10 miles contains significant variations in elevation (1,112 feet). Within 50 miles contains very significant variations in elevation (3,396 feet). The area within 2 miles of Ponta Grossa is covered by shrubs (31%), artificial surfaces (22%), grassland (18%), and trees (17%), within 10 miles by cropland (47%) and trees (25%), and within 50 miles by trees (52%) and cropland (30%). Data SourcesThis report illustrates the typical weather in Ponta Grossa, based on a statistical analysis of historical hourly weather reports and model reconstructions from January 1, 1980 to December 31, 2016. Temperature and Dew PointThere is only a single weather station, Parana Airport, in our network suitable to be used as a proxy for the historical temperature and dew point records of Ponta Grossa. At a distance of 100 kilometers from Ponta Grossa, closer than our threshold of 150 kilometers, this station is deemed sufficiently nearby to be relied upon as our primary source for temperature and dew point records. The station records are corrected for the elevation difference between the station and Ponta Grossa according to the International Standard Atmosphere , and by the relative change present in the MERRA-2 satellite-era reanalysis between the two locations. Please note that the station records themselves may additionally have been back-filled using other nearby stations or the MERRA-2 reanalysis. Other DataAll data relating to the Sun's position (e.g., sunrise and sunset) are computed using astronomical formulas from the book, Astronomical Algorithms 2nd Edition , by Jean Meeus. All other weather data, including cloud cover, precipitation, wind speed and direction, and solar flux, come from NASA's MERRA-2 Modern-Era Retrospective Analysis . This reanalysis combines a variety of wide-area measurements in a state-of-the-art global meteorological model to reconstruct the hourly history of weather throughout the world on a 50-kilometer grid. Land Use data comes from the Global Land Cover SHARE database , published by the Food and Agriculture Organization of the United Nations. Elevation data comes from the Shuttle Radar Topography Mission (SRTM) , published by NASA's Jet Propulsion Laboratory. Names, locations, and time zones of places and some airports come from the GeoNames Geographical Database . Time zones for airports and weather stations are provided by AskGeo.com . Maps are © OpenStreetMap contributors. DisclaimerThe information on this site is provided as is, without any assurances as to its accuracy or suitability for any purpose. Weather data is prone to errors, outages, and other defects. We assume no responsibility for any decisions made on the basis of the content presented on this site. We draw particular cautious attention to our reliance on the MERRA-2 model-based reconstructions for a number of important data series. While having the tremendous advantages of temporal and spatial completeness, these reconstructions: (1) are based on computer models that may have model-based errors, (2) are coarsely sampled on a 50 km grid and are therefore unable to reconstruct the local variations of many microclimates, and (3) have particular difficulty with the weather in some coastal areas, especially small islands. We further caution that our travel scores are only as good as the data that underpin them, that weather conditions at any given location and time are unpredictable and variable, and that the definition of the scores reflects a particular set of preferences that may not agree with those of any particular reader. Please review our full terms contained on our Terms of Service page. |