Average Weather in Taipa New Zealand
In Taipa, the summers are short and comfortable; the winters are long, cool, and wet; and it is windy and partly cloudy year round. Over the course of the year, the temperature typically varies from 54°F to 74°F and is rarely below 50°F or above 77°F.
Based on the tourism score, the best time of year to visit Taipa for warm-weather activities is from late December to early April.
The warm season lasts for 2.9 months, from December 28 to March 25, with an average daily high temperature above 71°F. The hottest day of the year is February 10, with an average high of 74°F and low of 66°F.
The cool season lasts for 3.9 months, from June 6 to October 2, with an average daily high temperature below 62°F. The coldest day of the year is August 17, with an average low of 54°F and high of 59°F.
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
In Taipa, the average percentage of the sky covered by clouds experiences mild seasonal variation over the course of the year.
The clearer part of the year in Taipa begins around January 20 and lasts for 2.7 months, ending around April 9. On March 18, the clearest day of the year, the sky is clear, mostly clear, or partly cloudy 72% of the time, and overcast or mostly cloudy 28% of the time.
The cloudier part of the year begins around April 9 and lasts for 9.3 months, ending around January 20. On December 15, the cloudiest day of the year, the sky is overcast or mostly cloudy 42% of the time, and clear, mostly clear, or partly cloudy 58% 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 in Taipa varies throughout the year.
The wetter season lasts 4.6 months, from May 10 to September 29, with a greater than 31% chance of a given day being a wet day. The chance of a wet day peaks at 41% on July 3.
The drier season lasts 7.4 months, from September 29 to May 10. The smallest chance of a wet day is 20% on March 14.
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 41% on July 3.
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. Taipa experiences significant seasonal variation in monthly rainfall.
Rain falls throughout the year in Taipa. The most rain falls during the 31 days centered around July 14, with an average total accumulation of 4.4 inches.
The least rain falls around October 26, with an average total accumulation of 2.3 inches.
Average Monthly Rainfall
The length of the day in Taipa varies significantly over the course of the year. In 2021, the shortest day is June 21, with 9 hours, 48 minutes of daylight; the longest day is December 22, with 14 hours, 31 minutes of daylight.
Hours of Daylight and Twilight
The earliest sunrise is at 6:05 AM on December 6, and the latest sunrise is 1 hour, 35 minutes later at 7:40 AM on April 3. The earliest sunset is at 5:20 PM on June 11, and the latest sunset is 3 hours, 23 minutes later at 8:43 PM on January 6.
Daylight saving time (DST) is observed in Taipa during 2021, starting in the spring on September 26 and ending in the fall on April 4.
Sunrise & Sunset with Twilight and Daylight Saving Time
The figure below presents a compact representation of key lunar data for 2021. 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.
Taipa experiences some seasonal variation in the perceived humidity.
The muggier period of the year lasts for 4.0 months, from December 12 to April 13, during which time the comfort level is muggy, oppressive, or miserable at least 5% of the time. The muggiest day of the year is February 8, with muggy conditions 18% of the time.
The least muggy day of the year is August 18, when muggy conditions are essentially unheard of.
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 in Taipa experiences significant seasonal variation over the course of the year.
The windier part of the year lasts for 5.3 months, from May 12 to October 21, with average wind speeds of more than 14.8 miles per hour. The windiest day of the year is July 5, with an average hourly wind speed of 16.7 miles per hour.
The calmer time of year lasts for 6.7 months, from October 21 to May 12. The calmest day of the year is January 9, with an average hourly wind speed of 13.0 miles per hour.
Average Wind Speed
The predominant average hourly wind direction in Taipa varies throughout the year.
The wind is most often from the south for 1.6 weeks, from January 4 to January 15; for 2.3 months, from March 3 to May 11; and for 1.0 weeks, from December 23 to December 30, with a peak percentage of 35% on March 11. The wind is most often from the east for 1.6 months, from January 15 to March 3, with a peak percentage of 36% on February 12. The wind is most often from the west for 7.4 months, from May 11 to December 23 and for 5.0 days, from December 30 to January 4, with a peak percentage of 45% on October 1.
Taipa 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 2.9 months, from January 13 to April 11, with an average temperature above 67°F. The day of the year with the warmest water is February 22, with an average temperature of 69°F.
The time of year with cooler water lasts for 4.1 months, from June 27 to November 1, with an average temperature below 62°F. The day of the year with the coolest water is August 26, with an average temperature of 60°F.
Average Water Temperature
Best Time of Year to Visit
To characterize how pleasant the weather is in Taipa 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 Taipa for general outdoor tourist activities is from late December to early April, with a peak score in the second week of February.
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 Taipa for hot-weather activities is from late January to late February, with a peak score in the second week of February.
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 in Taipa 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 extreme seasonal variation over the course of the year.
The brighter period of the year lasts for 3.6 months, from November 2 to February 20, with an average daily incident shortwave energy per square meter above 6.6 kWh. The brightest day of the year is January 1, with an average of 7.7 kWh.
The darker period of the year lasts for 3.5 months, from May 1 to August 17, with an average daily incident shortwave energy per square meter below 3.3 kWh. The darkest day of the year is June 21, with an average of 2.2 kWh.
Average Daily Incident Shortwave Solar Energy
For the purposes of this report, the geographical coordinates of Taipa are -34.996 deg latitude, 173.467 deg longitude, and 26 ft elevation.
The topography within 2 miles of Taipa contains only modest variations in elevation, with a maximum elevation change of 430 feet and an average elevation above sea level of 80 feet. Within 10 miles contains only modest variations in elevation (1,184 feet). Within 50 miles contains very significant variations in elevation (2,566 feet).
The area within 2 miles of Taipa is covered by water (55%), trees (19%), and grassland (12%), within 10 miles by water (42%) and trees (38%), and within 50 miles by water (75%) and trees (17%).
This report illustrates the typical weather in Taipa, based on a statistical analysis of historical hourly weather reports and model reconstructions from January 1, 1980 to December 31, 2016.
Taipa 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 Taipa, 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 © 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.