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Winter Weather in Lithuania

We show the winter climate in Lithuania by comparing the average winter weather in 2 representative places: Vilnius and Palanga.

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Vilnius
Lithuania
Palanga
Lithuania
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Average Winter High and Low Temperature in Lithuania

Average Winter High and Low Temperature in LithuaniaDecJanFeb10°F10°F15°F15°F20°F20°F25°F25°F30°F30°F35°F35°F40°F40°F45°F45°FFallSpring272220223430293332272526393532351912101421221613162623VilniusVilniusPalangaPalanga
The daily average high and low air temperature at 2 meters above the ground. The thin dotted lines are the corresponding perceived temperatures.

Vilnius

Average Hourly Temperature in Vilnius in the winterDecJanFeb12 AM12 AM4 AM4 AM8 AM8 AM12 PM12 PM4 PM4 PM8 PM8 PM12 AM12 AMFallSpringfreezingvery coldvery cold

Palanga

Average Hourly Temperature in Palanga in the winterDecJanFeb12 AM12 AM4 AM4 AM8 AM8 AM12 PM12 PM4 PM4 PM8 PM8 PM12 AM12 AMFallSpringfreezingvery coldvery cold
frigid 15°F freezing 32°F very cold 45°F cold 55°F cool 65°F comfortable 75°F warm 85°F hot 95°F sweltering
The average hourly temperature, color coded into bands. The shaded overlays indicate night and civil twilight.

Chance of Clearer Skies in the Winter in Lithuania

Chance of Clearer Skies in the Winter in LithuaniaDecJanFeb0%0%10%10%20%20%30%30%40%40%50%50%60%60%70%70%80%80%90%90%100%100%FallSpring2120242831293237VilniusVilniusPalangaPalanga
The percentage of time the sky is clear, mostly clear, or partly cloudy (i.e., less than 60% of the sky is covered by clouds).

Daily Chance of Precipitation in the Winter in Lithuania

Daily Chance of Precipitation in the Winter in LithuaniaDecJanFeb0%0%10%10%20%20%30%30%40%40%50%50%60%60%70%70%80%80%90%90%100%100%FallSpring2424221836352722VilniusVilniusPalangaPalanga
The percentage of days in which precipitation is observed, excluding trace quantities.

Average Monthly Rainfall in the Winter in Lithuania

Average Monthly Rainfall in the Winter in LithuaniaDecJanFeb0.0 in0.0 in0.5 in0.5 in1.0 in1.0 in1.5 in1.5 in2.0 in2.0 in2.5 in2.5 inFallSpring0.80.70.60.61.91.51.20.9VilniusVilniusPalangaPalanga
The average rainfall accumulated over the course of a sliding 31-day period centered on the day in question.

Average Monthly Snowfall in the Winter in Lithuania

Average Monthly Snowfall in the Winter in LithuaniaDecJanFeb0 in0 in1 in1 in2 in2 in3 in3 in4 in4 in5 in5 inFallSpring3.74.94.13.32.84.12.8VilniusVilniusPalangaPalanga
The average snowfall accumulated over the course of a sliding 31-day period centered on the day in question.

Hours of Daylight in the Winter in Lithuania

Hours of Daylight in the Winter in LithuaniaDecJanFeb0 hr0 hr4 hr4 hr8 hr8 hr12 hr12 hr16 hr16 hr20 hr20 hr24 hr24 hrFallSpring7.67.38.810.7VilniusVilnius
The number of hours during which the Sun is at least partly above the horizon.

Chance of Muggy Conditions in the Winter in Lithuania

Chance of Muggy Conditions in the Winter in LithuaniaDecJanFeb0%0%10%10%20%20%30%30%40%40%50%50%60%60%70%70%80%80%90%90%100%100%FallSpringVilniusVilniusPalangaPalanga
The percentage of time that is muggy, oppressive, or miserable (i.e., a dew point greater than 65°F).

Average Wind Speed in the Winter in Lithuania

Average Wind Speed in the Winter in LithuaniaDecJanFeb0 mph0 mph2 mph2 mph4 mph4 mph6 mph6 mph8 mph8 mph10 mph10 mph12 mph12 mph14 mph14 mph16 mph16 mph18 mph18 mphFallSpring8.69.09.18.615.015.915.313.8VilniusVilniusPalangaPalanga
The average of mean hourly wind speeds at 10 meters above the ground.

Tourism Score in the Winter in Lithuania

Tourism Score in the Winter in LithuaniaDecJanFeb00224466881010FallSpringVilniusVilniusPalangaPalanga
The tourism score, which favors clear, rainless days with perceived temperatures between 65°F and 80°F.

Beach/Pool Score in the Winter in Lithuania

Beach/Pool Score in the Winter in LithuaniaDecJanFeb00224466881010FallSpringVilniusVilnius
The beach/pool score, which favors clear, rainless days with perceived temperatures between 75°F and 90°F.

Growing Season in the Winter in Lithuania

Growing Season in the Winter in LithuaniaDecJanFeb0%0%20%20%40%40%60%60%80%80%100%100%FallSpringVilniusVilniusPalangaPalanga
The percentage chance that a given day is within the growing season, defined 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).

Growing Degree Days in the Winter in Lithuania

Growing Degree Days in the Winter in LithuaniaDecJanFeb0°F0°F500°F500°F1,000°F1,000°F1,500°F1,500°FFallSpringVilniusVilniusPalangaPalanga
The average growing degree days accumulated over the course of the winter, where growing degree days are defined as the integral of warmth above a base temperature (50°F in this case).

Average Water Temperature in the Winter in Lithuania

Average Water Temperature in the Winter in LithuaniaDecJanFeb34°F34°F36°F36°F38°F38°F40°F40°F42°F42°F44°F44°F46°F46°F48°F48°F50°F50°F52°F52°FFallSpring45403736PalangaPalanga
The daily average wide-area surface water temperature.

Average Daily Incident Shortwave Solar Energy in the Winter in Lithuania

Average Daily Incident Shortwave Solar Energy in the Winter in LithuaniaDecJanFeb0.0 kWh0.0 kWh0.5 kWh0.5 kWh1.0 kWh1.0 kWh1.5 kWh1.5 kWh2.0 kWh2.0 kWh2.5 kWh2.5 kWh3.0 kWh3.0 kWh3.5 kWh3.5 kWhFallSpring0.50.40.91.90.8VilniusVilniusPalangaPalanga
The average daily shortwave solar energy reaching the ground per square meter.

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

The details of the data sources used on this page vary between places and are discussed in detail on each place's dedicated page:

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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