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January Weather in Faya-Largeau Chad

Daily high temperatures increase by 3°F, from 78°F to 82°F, rarely falling below 71°F or exceeding 91°F. The lowest daily average high temperature is 78°F on January 4.

Daily low temperatures are around 51°F, rarely falling below 44°F or exceeding 59°F. The lowest daily average low temperature is 50°F on January 5.

For reference, on June 7, the hottest day of the year, temperatures in Faya-Largeau typically range from 79°F to 109°F, while on January 5, the coldest day of the year, they range from 50°F to 78°F.

Average High and Low Temperature in January in Faya-Largeau

Average High and Low Temperature in January in Faya-LargeauJan112233445566778899101011111212131314141515161617171818191920202121222223232424252526262727282829293030313140°F40°F45°F45°F50°F50°F55°F55°F60°F60°F65°F65°F70°F70°F75°F75°F80°F80°F85°F85°F90°F90°F95°F95°F100°F100°FDecFebJan 478°FJan 478°F50°F50°FJan 3182°FJan 3182°F52°F52°FJan 1179°FJan 1179°F51°F51°FJan 2180°FJan 2180°F51°F51°F
The daily average high (red line) and low (blue line) temperature, with 25th to 75th and 10th to 90th percentile bands. The thin dotted lines are the corresponding average perceived temperatures.

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.

Average Hourly Temperature in January in Faya-Largeau

Average Hourly Temperature in January in Faya-LargeauJan112233445566778899101011111212131314141515161617171818191920202121222223232424252526262727282829293030313112 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 AMDecFebcoldcoolcoolcomfortablecomfortablewarmhotcomfortable
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.

Shāhdādpur, Pakistan (3,207 miles away) is the far-away foreign place with temperatures most similar to Faya-Largeau (view comparison).

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The month of January in Faya-Largeau experiences essentially constant cloud cover, with the percentage of time that the sky is overcast or mostly cloudy remaining about 22% throughout the month. The lowest chance of overcast or mostly cloudy conditions is 20% on January 24.

The clearest day of the month is January 24, with clear, mostly clear, or partly cloudy conditions 80% of the time.

For reference, on August 1, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 30%, while on June 8, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 84%.

Cloud Cover Categories in January in Faya-Largeau

Cloud Cover Categories in January in Faya-LargeauJan11223344556677889910101111121213131414151516161717181819192020212122222323242425252626272728282929303031310%100%10%90%20%80%30%70%40%60%50%50%60%40%70%30%80%20%90%10%100%0%DecFebAug 170%Aug 170%Jan 177%Jan 177%Jan 3178%Jan 3178%Jan 1178%Jan 1178%Jan 2179%Jan 2179%clearmostly clearmostly cloudyovercastpartly cloudy
0% clear 20% mostly clear 40% partly cloudy 60% mostly cloudy 80% overcast 100%
The percentage of time spent in each cloud cover band, categorized by the percentage of the sky covered by clouds.

Over the course of January in Faya-Largeau, the length of the day is gradually increasing. From the start to the end of the month, the length of the day increases by 16 minutes, implying an average daily increase of 32 seconds, and weekly increase of 3 minutes, 45 seconds.

The shortest day of the month is January 1, with 11 hours, 5 minutes of daylight and the longest day is January 31, with 11 hours, 21 minutes of daylight.

Hours of Daylight and Twilight in January in Faya-Largeau

The number of hours during which the Sun is visible (black line). From bottom (most yellow) to top (most gray), the color bands indicate: full daylight, twilight (civil, nautical, and astronomical), and full night.

The earliest sunrise of the month in Faya-Largeau is 6:14 AM on January 1 and the latest sunrise is 3 minutes later at 6:17 AM on January 20.

The earliest sunset is 5:19 PM on January 1 and the latest sunset is 18 minutes later at 5:37 PM on January 31.

Daylight saving time is not observed in Faya-Largeau during 2024.

For reference, on June 20, the longest day of the year, the Sun rises at 5:09 AM and sets 13 hours, 12 minutes later, at 6:21 PM, while on December 21, the shortest day of the year, it rises at 6:10 AM and sets 11 hours, 3 minutes later, at 5:13 PM.

Sunrise & Sunset with Twilight in January in Faya-Largeau

Sunrise & Sunset with Twilight in January in Faya-LargeauJan112233445566778899101011111212131314141515161617171818191920202121222223232424252526262727282829293030313112 AM2 AM4 AM6 AM8 AM10 AM12 PM2 PM4 PM6 PM8 PM10 PMDecFeb6:14 AM6:14 AMJan 15:19 PMJan 15:19 PM6:16 AM6:16 AMJan 315:37 PMJan 315:37 PM6:17 AM6:17 AMJan 205:31 PMJan 205:31 PMSolarMidnightSolarMidnightSolarNoonSunriseSunset
The solar day over the course of January. From bottom to top, the black lines are the previous solar midnight, sunrise, solar noon, sunset, and the next solar midnight. The day, twilights (civil, nautical, and astronomical), and night are indicated by the color bands from yellow to gray.

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 January in Faya-Largeau

Solar Elevation and Azimuth in January in Faya-LargeauJan112233445566778899101011111212131314141515161617171818191920202121222223232424252526262727282829293030313112 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 AMDecFeb0010102020203030404050500001010202030303040405060
northeastsouthwest
Solar elevation and azimuth over the course of January 2024. 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).

The 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.

Moon Rise, Set & Phases in January in Faya-Largeau

Moon Rise, Set & Phases in January in Faya-LargeauJan112233445566778899101011111212131314141515161617171818191920202121222223232424252526262727282829293030313112 AM12 AM4 AM4 AM8 AM8 AM12 PM12 PM4 PM4 PM8 PM8 PM12 AM12 AMDecFebDec 1312:33 AMDec 1312:33 AMDec 271:34 AMDec 271:34 AMJan 1112:58 PMJan 1112:58 PMJan 256:55 PMJan 256:55 PMFeb 1012:00 AMFeb 1012:00 AMFeb 241:31 PMFeb 241:31 PM6:29 AM6:29 AM5:38 PM5:38 PM4:45 PM4:45 PM6:36 AM6:36 AM6:16 AM6:16 AM5:29 PM5:29 PM5:25 PM5:25 PM6:53 AM6:53 AM5:51 AM5:51 AM5:20 PM5:20 PM5:53 PM5:53 PM6:41 AM6:41 AM
The time in which the moon is above the horizon (light blue area), with new moons (dark gray lines) and full moons (blue lines) indicated. The shaded overlays indicate night and civil twilight.
Jan 2024IlluminationMoonriseMoonsetMoonriseMeridian PassingDistance
1
77%-10:08 AMW10:03 PME3:43 AMS251,498 mi
2
69%-10:40 AMW10:50 PME4:23 AMS251,508 mi
3
59%-11:12 AMW11:36 PME5:01 AMS250,710 mi
4
50%-11:43 AMW-5:40 AMS249,084 mi
5
40%12:25 AME12:17 PMWSW-6:21 AMS246,674 mi
6
30%1:15 AMESE12:54 PMWSW-7:04 AMS243,600 mi
7
21%2:09 AMESE1:36 PMWSW-7:52 AMS240,056 mi
8
13%3:08 AMESE2:24 PMWSW-8:45 AMS236,304 mi
9
6%4:10 AMESE3:20 PMWSW-9:44 AMS232,660 mi
10
2%5:13 AMESE4:22 PMWSW-10:48 AMS229,460 mi
11
0%6:16 AMESE5:29 PMWSW-11:53 AMS227,013 mi
12
1%7:14 AMESE6:37 PMWSW-12:56 PMS225,533 mi
13
6%8:06 AMESE7:42 PMWSW-1:55 PMS225,106 mi
14
13%8:52 AMESE8:45 PMWSW-2:49 PMS225,682 mi
15
22%9:35 AME9:44 PMW-3:39 PMS227,102 mi
16
33%10:14 AME10:42 PMW-4:27 PMS229,148 mi
17
45%10:53 AME11:39 PMW-5:14 PMS231,586 mi
18
50%11:32 AMENE--6:02 PMS234,206 mi
19
67%-12:36 AMWNW12:13 PMENE6:51 PMN236,847 mi
20
77%-1:34 AMWNW12:58 PMENE7:43 PMN239,399 mi
21
85%-2:33 AMWNW1:46 PMENE8:38 PMN241,803 mi
22
92%-3:32 AMWNW2:38 PMENE9:33 PMN244,030 mi
23
97%-4:29 AMWNW3:33 PMENE10:28 PMN246,066 mi
24
99%-5:22 AMWNW4:29 PMENE11:21 PMN247,894 mi
25
100%-6:10 AMWNW5:25 PMENE--
26
100%-6:53 AMWNW6:18 PMENE12:11 AMN249,480 mi
27
99%-7:32 AMWNW7:09 PMENE12:57 AMN250,768 mi
28
95%-8:07 AMWNW7:57 PME1:40 AMS251,679 mi
29
90%-8:40 AMW8:44 PME2:20 AMS252,115 mi
30
84%-9:11 AMW9:31 PME2:59 AMS251,977 mi
31
76%-9:43 AMW10:18 PME3:37 AMS251,175 mi

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 Faya-Largeau is essentially constant during January, remaining around 0% throughout.

For reference, on August 13, the muggiest day of the year, there are muggy conditions 12% of the time, while on October 13, the least muggy day of the year, there are muggy conditions 0% of the time.

Humidity Comfort Levels in January in Faya-Largeau

Humidity Comfort Levels in January in Faya-LargeauJan11223344556677889910101111121213131414151516161717181819192020212122222323242425252626272728282929303031310%0%10%10%20%20%30%30%40%40%50%50%60%60%70%70%80%80%90%90%100%100%DecFebJan 10%Jan 10%Jan 310%Jan 310%Jan 110%Jan 110%Jan 210%Jan 210%drydry
dry 55°F comfortable 60°F humid 65°F muggy 70°F oppressive 75°F miserable
The percentage of time spent at various humidity comfort levels, categorized by dew point.

This 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 Faya-Largeau is gradually decreasing during January, decreasing from 15.5 miles per hour to 15.0 miles per hour over the course of the month.

For reference, on December 27, the windiest day of the year, the daily average wind speed is 15.5 miles per hour, while on July 30, the calmest day of the year, the daily average wind speed is 8.6 miles per hour.

Average Wind Speed in January in Faya-Largeau

The average of mean hourly wind speeds (dark gray line), with 25th to 75th and 10th to 90th percentile bands.

The hourly average wind direction in Faya-Largeau throughout January is predominantly from the east, with a peak proportion of 54% on January 9.

Wind Direction in January in Faya-Largeau

Wind Direction in January in Faya-LargeauJan11223344556677889910101111121213131414151516161717181819192020212122222323242425252626272728282929303031310%100%20%80%40%60%60%40%80%20%100%0%DecFebeastnorth
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 1.0 mph. The lightly tinted areas at the boundaries are the percentage of hours spent in the implied intermediate directions (northeast, southeast, southwest, and northwest).

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 (≥ 32°F) in the year (the calendar year in the Northern Hemisphere, or from July 1 until June 30 in the Southern Hemisphere).

Temperatures in Faya-Largeau are sufficiently warm year round that it is not entirely meaningful to discuss the growing season in these terms. We nevertheless include the chart below as an illustration of the distribution of temperatures experienced throughout the year.

Time Spent in Various Temperature Bands and the Growing Season in January in Faya-Largeau

Time Spent in Various Temperature Bands and the Growing Season in January in Faya-LargeauJan11223344556677889910101111121213131414151516161717181819192020212122222323242425252626272728282929303031310%100%10%90%20%80%30%70%40%60%50%50%60%40%70%30%80%20%90%10%100%0%DecFeb100%Jan 16100%Jan 16coldcoolcomfortablewarmhot
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 percentage of time spent in various temperature bands. The black line is the percentage chance that a given day is within the growing season.

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 Faya-Largeau are increasing during January, increasing by 422°F, from 13°F to 436°F, over the course of the month.

Growing Degree Days in January in Faya-Largeau

The average growing degree days accumulated over the course of January, with 25th to 75th and 10th to 90th percentile bands.

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 Faya-Largeau is gradually increasing during January, rising by 0.6 kWh, from 5.2 kWh to 5.8 kWh, over the course of the month.

Average Daily Incident Shortwave Solar Energy in January in Faya-Largeau

Average Daily Incident Shortwave Solar Energy in January in Faya-LargeauJan11223344556677889910101111121213131414151516161717181819192020212122222323242425252626272728282929303031310 kWh0 kWh1 kWh1 kWh2 kWh2 kWh3 kWh3 kWh4 kWh4 kWh5 kWh5 kWh6 kWh6 kWh7 kWh7 kWhDecFebJan 15.2 kWhJan 15.2 kWhJan 315.8 kWhJan 315.8 kWhJan 115.3 kWhJan 115.3 kWhJan 215.6 kWhJan 215.6 kWh
The average daily shortwave solar energy reaching the ground per square meter (orange line), with 25th to 75th and 10th to 90th percentile bands.

For the purposes of this report, the geographical coordinates of Faya-Largeau are 17.926 deg latitude, 19.104 deg longitude, and 794 ft elevation.

The topography within 2 miles of Faya-Largeau contains only modest variations in elevation, with a maximum elevation change of 200 feet and an average elevation above sea level of 790 feet. Within 10 miles contains only modest variations in elevation (564 feet). Within 50 miles contains significant variations in elevation (919 feet).

The area within 2 miles of Faya-Largeau is covered by bare soil (98%), within 10 miles by bare soil (100%), and within 50 miles by bare soil (100%).

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

Faya-Largeau is further than 200 kilometers from the nearest reliable weather station, so the weather-related data on this page were taken entirely from NASA's MERRA-2 satellite-era reanalysis . 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.

The temperature and dew point estimates are corrected for the difference between the reference elevation of the MERRA-2 grid cell and the elevation of Faya-Largeau, according to the International Standard Atmosphere .

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.

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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