To characterize how pleasant the weather is in Makakilo throughout the year, we compute two travel scores.
The tourism score favors clear, rainless days with perceived temperatures between 18°C and 27°C. Based on this score, the best time of year to visit Makakilo for general outdoor tourist activities is from late to early 十月, with a peak score in the third week of 六月.
The tourism score (filled area), and its constituents: the temperature score (red line), the cloud cover score (blue line), and the precipitation score (green line).
The beach/pool score favors clear, rainless days with perceived temperatures between 24°C and 32°C. Based on this score, the best time of year to visit Makakilo for hot-weather activities is from early 六月 to early 十月, with a peak score in the first week of 八月.
The beach/pool score (filled area), and its constituents: the temperature score (red line), the cloud cover score (blue line), and the precipitation score (green line).
For each hour between 上午8:00 and 下午9:00 of each day in the analysis period (1980年 to 2016年), 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 1毫米 of precipitation or more.
Our tourism temperature score is 0 for perceived temperatures below 10°C, rising linearly to 9 for 18°C, to 10 for 24°C, falling linearly to 9 for 27°C, and to 1 for 32°C or hotter.
Our beach/pool temperature score is 0 for perceived temperatures below 18°C, rising linearly to 9 for 24°C, to 10 for 28°C, falling linearly to 9 for 32°C, and to 1 for 38°C 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 (≥ 0°C) in the year (the calendar year in the Northern Hemisphere, or from 7月1日 until 6月30日 in the Southern Hemisphere).
Temperatures in Makakilo 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
The percentage of time spent in various temperature bands: 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 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 10°C and a cap of 30°C.
Growing Degree Days
The average growing degree days accumulated over the course of the year, with 25th to 75th and 10th to 90th percentile bands.
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.