Average Weather at Tunggul Wulung Airport Indonesia
The climate at Tunggul Wulung Airport is hot, oppressive, and overcast. Over the course of the year, the temperature typically varies from 73°F to 89°F and is rarely below 70°F or above 91°F.
Based on the beach/pool score, the best time of year to visit Tunggul Wulung Airport for hot-weather activities is from mid June to late September.
The temperature at Tunggul Wulung Airport varies so little throughout the year that it is not entirely meaningful to discuss hot and cold seasons.
Average High and Low Temperature
The figure below shows you a compact characterization of the entire year of hourly average temperatures. The horizontal axis is the day of the year, the vertical axis is the hour of the day, and the color is the average temperature for that hour and day.
Average Hourly Temperature
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
At Tunggul Wulung Airport, the average percentage of the sky covered by clouds experiences significant seasonal variation over the course of the year.
The clearer part of the year at Tunggul Wulung Airport begins around May 16 and lasts for 4.7 months, ending around October 7. On August 1, the clearest day of the year, the sky is clear, mostly clear, or partly cloudy 44% of the time, and overcast or mostly cloudy 56% of the time.
The cloudier part of the year begins around October 7 and lasts for 7.3 months, ending around May 16. On February 1, the cloudiest day of the year, the sky is overcast or mostly cloudy 88% of the time, and clear, mostly clear, or partly cloudy 12% of the time.
Cloud Cover Categories
0% clear 20% mostly clear 40% partly cloudy 60% mostly cloudy 80% overcast 100%
A wet day is one with at least 0.04 inches of liquid or liquid-equivalent precipitation. The chance of wet days at Tunggul Wulung Airport varies very significantly throughout the year.
The wetter season lasts 6.6 months, from October 19 to May 7, with a greater than 42% chance of a given day being a wet day. The chance of a wet day peaks at 70% on February 7.
The drier season lasts 5.4 months, from May 7 to October 19. The smallest chance of a wet day is 14% on August 29.
Among wet days, we distinguish between those that experience rain alone, snow alone, or a mixture of the two. Based on this categorization, the most common form of precipitation throughout the year is rain alone, with a peak probability of 70% on February 7.
Daily Chance of Precipitation
To show variation within the months and not just the monthly totals, we show the rainfall accumulated over a sliding 31-day period centered around each day of the year. Tunggul Wulung Airport experiences extreme seasonal variation in monthly rainfall.
Rain falls throughout the year at Tunggul Wulung Airport. The most rain falls during the 31 days centered around November 24, with an average total accumulation of 12.6 inches.
The least rain falls around August 15, with an average total accumulation of 1.9 inches.
Average Monthly Rainfall
The length of the day at Tunggul Wulung Airport does not vary substantially over the course of the year, staying within 34 minutes of 12 hours throughout. In 2020, the shortest day is June 21, with 11 hours, 41 minutes of daylight; the longest day is December 21, with 12 hours, 34 minutes of daylight.
Hours of Daylight and Twilight
The earliest sunrise is at 5:14 AM on November 14, and the latest sunrise is 44 minutes later at 5:58 AM on July 15. The earliest sunset is at 5:32 PM on May 24, and the latest sunset is 38 minutes later at 6:10 PM on January 31.
Daylight saving time (DST) is not observed at Tunggul Wulung Airport during 2020.
Sunrise & Sunset with Twilight
The figure below presents a compact representation of key lunar data for 2020. 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.
Moon Rise, Set & Phases
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 perceived humidity level at Tunggul Wulung Airport, as measured by the percentage of time in which the humidity comfort level is muggy, oppressive, or miserable, does not vary significantly over the course of the year, remaining a virtually constant 100% throughout.
Humidity Comfort Levels
dry 55°F comfortable 60°F humid 65°F muggy 70°F oppressive 75°F miserable
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 at Tunggul Wulung Airport experiences significant seasonal variation over the course of the year.
The windier part of the year lasts for 5.4 months, from May 29 to November 9, with average wind speeds of more than 7.6 miles per hour. The windiest day of the year is August 17, with an average hourly wind speed of 9.7 miles per hour.
The calmer time of year lasts for 6.6 months, from November 9 to May 29. The calmest day of the year is March 23, with an average hourly wind speed of 5.5 miles per hour.
Average Wind Speed
The predominant average hourly wind direction at Tunggul Wulung Airport varies throughout the year.
The wind is most often from the west for 2.3 months, from January 1 to March 10, with a peak percentage of 57% on February 7. The wind is most often from the south for 1.1 months, from March 10 to April 13 and for 4.4 months, from August 20 to December 31, with a peak percentage of 78% on November 17. The wind is most often from the east for 4.2 months, from April 13 to August 20, with a peak percentage of 65% on June 6.
Tunggul Wulung Airport 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 water temperature experiences some seasonal variation over the course of the year.
The time of year with warmer water lasts for 5.9 months, from December 7 to June 4, with an average temperature above 83°F. The day of the year with the warmest water is April 4, with an average temperature of 84°F.
The time of year with cooler water lasts for 2.4 months, from July 30 to October 10, with an average temperature below 80°F. The day of the year with the coolest water is August 31, with an average temperature of 79°F.
Average Water Temperature
Best Time of Year to Visit
To characterize how pleasant the weather is at Tunggul Wulung Airport throughout the year, we compute two travel scores.
The tourism score favors clear, rainless days with perceived temperatures between 65°F and 80°F. Based on this score, the best time of year to visit Tunggul Wulung Airport for general outdoor tourist activities is from early July to mid September, with a peak score in the second week of August.
The beach/pool score favors clear, rainless days with perceived temperatures between 75°F and 90°F. Based on this score, the best time of year to visit Tunggul Wulung Airport for hot-weather activities is from mid June to late September, with a peak score in the second week of August.
For each hour between 8:00 AM and 9:00 PM of each day in the analysis period (1980 to 2016), independent scores are computed for perceived temperature, cloud cover, and total precipitation. Those scores are combined into a single hourly composite score, which is then aggregated into days, averaged over all the years in the analysis period, and smoothed.
Our cloud cover score is 10 for fully clear skies, falling linearly to 9 for mostly clear skies, and to 1 for fully overcast skies.
Our precipitation score, which is based on the three-hour precipitation centered on the hour in question, is 10 for no precipitation, falling linearly to 9 for trace precipitation, and to 0 for 0.04 inches of precipitation or more.
Our tourism temperature score is 0 for perceived temperatures below 50°F, rising linearly to 9 for 65°F, to 10 for 75°F, falling linearly to 9 for 80°F, and to 1 for 90°F or hotter.
Our beach/pool temperature score is 0 for perceived temperatures below 65°F, rising linearly to 9 for 75°F, to 10 for 82°F, falling linearly to 9 for 90°F, and to 1 for 100°F or hotter.
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 at Tunggul Wulung Airport 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
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
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.
Growing Degree Days
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 experiences some seasonal variation over the course of the year.
The brighter period of the year lasts for 2.0 months, from August 13 to October 15, with an average daily incident shortwave energy per square meter above 6.0 kWh. The brightest day of the year is September 15, with an average of 6.4 kWh.
The darker period of the year lasts for 4.2 months, from January 2 to May 9, with an average daily incident shortwave energy per square meter below 4.8 kWh. The darkest day of the year is April 8, with an average of 4.4 kWh.
Average Daily Incident Shortwave Solar Energy
For the purposes of this report, the geographical coordinates of Tunggul Wulung Airport are -7.643 deg latitude, 109.031 deg longitude, and 85 ft elevation.
The topography within 2 miles of Tunggul Wulung Airport contains only modest variations in elevation, with a maximum elevation change of 243 feet and an average elevation above sea level of 50 feet. Within 10 miles contains only modest variations in elevation (1,204 feet). Within 50 miles contains very significant variations in elevation (11,243 feet).
The area within 2 miles of Tunggul Wulung Airport is covered by cropland (34%), trees (32%), and shrubs (14%), within 10 miles by trees (31%) and cropland (29%), and within 50 miles by water (46%) and trees (27%).
This report illustrates the typical weather at Tunggul Wulung Airport, based on a statistical analysis of historical hourly weather reports and model reconstructions from January 1, 1980 to December 31, 2016.
Temperature and Dew Point
Tunggul Wulung Airport has a weather station that reported reliably enough during the analysis period that we have included it in our network. When available, historical temperature and dew point measurements are taken directly from this weather station. These records are obtained from NOAA's Integrated Surface Hourly data set, falling back on ICAO METAR records as required.
In the case of missing or erroneous measurements from this station, we fall back on records from nearby stations, adjusted according to typical seasonal and diurnal intra-station differences. For a given day of the year and hour of the day, the fallback station is selected to minimize the prediction error over the years for which there are measurements for both stations.
In this case, the only station close and reliable enough to use as a fallback is Achmad Yani International Airport.
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 © Esri, with data from National Geographic, Esri, DeLorme, NAVTEQ, UNEP-WCMC, USGS, NASA, ESA, METI, NRCAN, GEBCO, NOAA, and iPC.
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.