Weather in Myrtle Beach in February and March

Daily high temperatures increase by 3°C, from 13°C to 16°C, rarely falling below 7°C or exceeding 22°C.

Daily low temperatures increase by 3°C, from 4°C to 7°C, rarely falling below -3°C or exceeding 14°C.

For reference, on 21 July, the hottest day of the year, temperatures in Myrtle Beach typically range from 24°C to 31°C, while on 29 January, the coldest day of the year, they range from 4°C to 13°C.

The figure below shows you a compact characterization of the hourly average temperatures for the quarter of the year centered on February. 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.

Average Hourly Temperature in February in Myrtle Beach

Average Hourly Temperature in February in Myrtle BeachFeb. 11223344556677889910101111 12121313141415151616171718181919 2020 21212222232324242525262627272828 12 am12 am2 am2 am4 am4 am6 am6 am8 am8 am10 am10 am12 pm12 pm2 pm2 pm4 pm4 pm6 pm6 pm8 pm8 pm10 pm10 pm12 am12 amJan. Mar.very coldcold coolcoolcold very cold

frigid -9°C freezing 0°C very cold 7°C cold 13°C cool 18°C comfortable 24°C warm 29°C hot 35°C sweltering

The average hourly temperature, color coded into bands. The shaded overlays indicate night and civil twilight.

Çırtıman, Turkey (9,720 kilometres away); Behshahr, Iran (10,778 kilometres); and Miyazaki, Japan (12,073 kilometres) are the far-away foreign places with temperatures most similar to Myrtle Beach (view comparison).

Compare Myrtle Beach to another city:

Clouds

The month of February in Myrtle Beach experiences essentially constant cloud cover, with the percentage of time that the sky is overcast or mostly cloudy remaining about 48% throughout the month. The highest chance of overcast or mostly cloudy conditions is 49% on 13 February.

The clearest day of the month is 28 February, with clear, mostly clear, or partly cloudy conditions 54% of the time.

For reference, on 27 July, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 56%, while on 27 October, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 66%.

Precipitation

A wet day is one with at least 1 millimetre of liquid or liquid-equivalent precipitation. In Myrtle Beach, the chance of a wet day over the course of February is gradually decreasing, starting the month at 28% and ending it at 26%.

For reference, the year's highest daily chance of a wet day is 53% on 25 July, and its lowest chance is 21% on 30 October.

Rainfall

To 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 February in Myrtle Beach is essentially constant, remaining about 90 millimetres throughout, and rarely exceeding 174 millimetres or falling below 35 millimetres.

Sun

Over the course of February in Myrtle Beach, the length of the day is increasing. From the start to the end of the month, the length of the day increases by 51 minutes, implying an average daily increase of 1 minute, 54 seconds, and weekly increase of 13 minutes, 20 seconds.

The shortest day of the month is 1 February, with 10 hours, 35 minutes of daylight and the longest day is 28 February, with 11 hours, 26 minutes of daylight.

The latest sunrise of the month in Myrtle Beach is 7:11 am on 1 February and the earliest sunrise is 27 minutes earlier at 6:45 am on 28 February.

The earliest sunset is 5:46 pm on 1 February and the latest sunset is 25 minutes later at 6:11 pm on 28 February.

Daylight saving time is observed in Myrtle Beach during 2022, but it neither starts nor ends during February, so the entire month is in standard time.

For reference, on 21 June, the longest day of the year, the Sun rises at 6:05 am and sets 14 hours, 24 minutes later, at 8:29 pm, while on 21 December, the shortest day of the year, it rises at 7:16 am and sets 9 hours, 55 minutes later, at 5:11 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.

Solar Elevation and Azimuth in February in Myrtle Beach

Solar Elevation and Azimuth in February in Myrtle Beach Feb. 11 22 33 44 55 66 77 88 99 1010 11111212 13131414 15151616171718181919202021212222232324242525 2626 2727282812 am12 am2 am2 am 4 am4 am6 am6 am8 am8 am10 am10 am12 pm12 pm2 pm2 pm4 pm4 pm6 pm6 pm8 pm8 pm10 pm10 pm12 am12 amJan.Mar.01010202020304050000102020303030

northeastsouthwest

Solar elevation and azimuth over the course of February 2022. The black lines are lines of constant solar elevation (the angle of the sun above the horizon, in degrees). The background color fills indicate the azimuth (the compass bearing) of the sun. The lightly tinted areas at the boundaries of the cardinal compass points indicate the implied intermediate directions (northeast, southeast, southwest, and northwest).

Moon

The figure below presents a compact representation of key lunar data for February 2022. 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.

Humidity

We 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 Myrtle Beach is essentially constant during February, remaining around 0% throughout.

For reference, on 22 July, the muggiest day of the year, there are muggy conditions 95% of the time, while on 21 January, the least muggy day of the year, there are muggy conditions 0% of the time.

Wind

This section discusses the wide-area hourly average wind vector (speed and direction) at 10 metres 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 Myrtle Beach is essentially constant during February, remaining within 0.2 kilometres per hour of 19.0 kilometres per hour throughout.

For reference, on 26 February, the windiest day of the year, the daily average wind speed is 19.2 kilometres per hour, while on 9 August, the calmest day of the year, the daily average wind speed is 13.4 kilometres per hour.

The highest daily average wind speed during February is 19.2 kilometres per hour on 26 February.

The hourly average wind direction in Myrtle Beach throughout February is predominantly from the north, with a peak proportion of 36% on 3 February.

Wind Direction in February in Myrtle Beach

Wind Direction in February in Myrtle BeachNSFeb.1 12 23 34 45 56 67 78 89 910 1011 1112 1213 1314 1415 1516 1617 1718 1819 1920 2021 2122 2223 2324 2425 2526 2627 2728 280%100%20%80%40%60%60%40%80%20% 100%0%Jan.Mar.westsouthnortheast

northeastsouthwest

The percentage of hours in which the mean wind direction is from each of the four cardinal wind directions, excluding hours in which the mean wind speed is less than 1.6 km/h. The lightly tinted areas at the boundaries are the percentage of hours spent in the implied intermediate directions (northeast, southeast, southwest, and northwest).

Water Temperature

Myrtle Beach is located near a large body of water (e.g., ocean, sea, or large lake). This section reports on the wide-area average surface temperature of that water.

The average surface water temperature in Myrtle Beach is essentially constant during February, remaining around 18°C throughout.

Growing Season

Definitions 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 (≥ 0°C) in the year (the calendar year in the Northern Hemisphere, or from 1 July until 30 June in the Southern Hemisphere).

The growing season in Myrtle Beach typically lasts for 8.7 months (268 days), from around 8 March to around 30 November, rarely starting before 8 February or after 30 March, and rarely ending before 10 November or after 25 December.

The month of February in Myrtle Beach is more likely than not fully outside of the growing season, with the chance that a given day is in the growing season rapidly increasing from 5% to 35% over the course of the month.

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 10°C and a cap of 30°C.

The average accumulated growing degree days in Myrtle Beach are gradually increasing during February, increasing by 60°C, from 55°C to 115°C, over the course of the month.

Solar Energy

This 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 Myrtle Beach is increasing during February, rising by 1.0 kWh, from 3.3 kWh to 4.3 kWh, over the course of the month.

Topography

For the purposes of this report, the geographical coordinates of Myrtle Beach are 33.689 deg. latitude, -78.887 deg. longitude, and 7 m elevation.

The topography within 3 kilometres of Myrtle Beach is essentially flat, with a maximum elevation change of 11 metres and an average elevation above sea level of 3 metres. Within 16 kilometres is also essentially flat (17 metres). Within 80 kilometres is essentially flat (81 metres).

The area within 3 kilometres of Myrtle Beach is covered by artificial surfaces (57%) and water (41%), within 16 kilometres by water (46%) and artificial surfaces (26%), and within 80 kilometres by water (42%) and trees (31%).

Data Sources

This report illustrates the typical weather in Myrtle Beach, based on a statistical analysis of historical hourly weather reports and model reconstructions from 1 January 1980 to 31 December 2016.

Temperature and Dew Point

There are 2 weather stations near enough to contribute to our estimation of the temperature and dew point in Myrtle Beach.

For each station, the records are corrected for the elevation difference between that station and Myrtle Beach according to the International Standard Atmosphere , and by the relative change present in the MERRA-2 satellite-era reanalysis between the two locations.

The estimated value at Myrtle Beach is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Myrtle Beach and a given station.

The stations contributing to this reconstruction are:

• Myrtle Beach International Airport (KMYR, 91%, 4.3 km, west, 0 m elevation change)
• Grand Strand Airport (KCRE, 9%, 21 km, northeast, 2 m elevation change)

To get a sense of how much these sources agree with each other, you can view a comparison of Myrtle Beach and the stations that contribute to our estimates of its temperature history and climate. Please note that each source's contribution is adjusted for elevation and the relative change present in the MERRA-2 data.

Other Data

All 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.

Disclaimer

The 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.

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