WeatherProfit.com - Weather Calendar: Lewistown, ID, United States

Summary
Avg Temp: NA
LY Avg Temp: NA
Temp Diff: NA
HDD (vs LY): NA (NA)
CDD (vs LY): NA (NA)
Total Precip: NA
Vs. LY: NA
LY Precip: NA
TY Snow (vs LY): N/A (N/A)

The Monthly Planner tool shows max and min temperatures by day and weekly total precipitation by U.S. zip code and 4,000 locations in 129 countries. The default view will show how daily temperatures are different than the same day last year. A positive value indicates that day is warmer than last year by X degrees, while a negative value indicates the day is colder by X degrees compared to last year. The color coding defaults to a comparison to last year with reds implying it's much warmer than last year (>5F warmer), orange indication it is warmer than last year (1F-5F warmer), gray implies similar to last year (+1F to -1F), light blue means colder than last year (-1F to -5F colder) and dark blue indicates much colder than last year (< -5F colder). The toggle buttons at the bottom allow for comparisons to "normal" which is defined as a 30-year average (1977-2007). In some remote areas of the world the average is based on a 10-year average (1997-2007). Other toggle buttons include a Lo/Hi Temperature which will change the values in the boxes to actual low and high temperatures. U.S. (F/Inches) or Metric (C/mm) units can be displayed. The weekly bars show weekly total precipitation amounts with the % change showing the difference vs. last year or normal depending on which toggle button is selected. Dark green shaded weeks are much wetter than last year (>200% more precipitation), light green means wetter than last year (200% to 125% more precipitation), gray is similar to last year (125% to 75% similar precipitation), yellow is drier than last year (75% to 50% less precipitation) and peach is much drier than last year (50% or less precipitation).

The PREVIOUS button will show actual weather conditions for any month back to January 1992. If the date is in the past, all data is actual observed weather conditions. The NEXT button will show any future month up to 11 months in advance. These year-ahead long range forecasts use Weather Trends' proprietary trade secret formulas that are built on math, statistics, climate, historical weather and other meteorological factors. Unlike short-range forecasts, our year-ahead forecasts do not change once they are made as there is no new information in our process to necessitate a change. These forecasts have an 8-year proven track record of reliability with year-ahead daily temperature accuracy in the 75% to 95% range and weekly total precipitation in the 65% to 95% range. Most companies plan off last year and last year's weather repeats between 5% and 20% of the time, making WTI's year-ahead forecasts 3 to 19 times more accurate and reliable. The Summary table to the right of the calendar shows monthly figures for average observed temperature, last year's average temperature, the difference from last year, Heating Degree Days (HDD) a Winter energy usage metric with the difference from last year noted in brackets, Cooling Degree Days (CDD) a Summer energy metric with the difference from last year noted in brackets, Total Precipitation for the month, Precipitation vs. last year, Last year Precipitation and This year snowfall with the difference noted in brackets. Historical data back to January 1992 is readily available on-line and can be quickly obtained by entering the month and year in the box at the bottom of the page (MM/YYYY format) and then hitting submit.

There are many business applications depending on the industry. For the Retail industry the year-ahead calendar forecasts are quick tools to make a decision at a store (city) level. In the Spring, we would want to identify the periods that show the greatest change toward warmer and drier weather compared to a year ago as those periods will show the greatest lift in same-store sales. Our industry seasonal category sales show that for every 1F warmer year-on-year there can be very significant increases in sales. The table below shows that for every degree warmer year-on-year there is a 1.2% increase in beer or beverage sales, 2.5% increase in apparel sales, 6% increase in a pest product like fire ant control, 10% more fans sold, 13% more garden hedge trimmers sold and 24% more air conditioners sold. Small changes in the weather have a significant impact on seasonal category sales. Knowing this and the future weather trends it's possible to identify which periods up to a year-ahead will have the strongest consumer demand for a seasonal product. Timing advertising, marketing and store displays around these periods are very effective at driving even higher sales. It's important to note that there is a downside to unfavorable weather that is typically about 1/2 of the upside. So, 1F colder can cause beer or beverage sales to go down by 0.6%. When the weather is working against your category (i.e. cold/wet is bad for cold beverage sales) price incentives work well to minimize the downside.

1° Hotter = +240,000 more units of ICE CREAM sold each week in Summer
1° Colder = +60,000 more units of ORANGE JUICE sold each week
1° Colder = +15,000 more units of SOUP sold each week
1° Hotter = +1.2% more BEER or SOFT DRINKS sold each week
1° Hotter = +13,220 more units of ANT & ROACH SPRAYS sold each week
1° Hotter = +4,875 more units of UV BUG ZAPPERS sold each week
1° Hotter = +6% increase in FIRE ANT products sold each week
1° Hotter = +10% more units of FANS sold each week
1° Hotter = +24% more units of AIR CONDITIONERS sold each week
1° Hotter = +2,917 more units of ITCH CATEGORY products sold each week
1° Hotter = +90,000 more units of SUNCARE products sold each week
1° Hotter = +37,500 more units of FIRST AID CATEGORY products sold each week
1° Colder = +5,000 more units of MEDICATED LIPCARE products sold each week
1° Colder = +10% to 25% increase in PORTABLE HEATER products sold each week
1° Colder = +25% increase in MOUSE TRAP products sold each week
1° Colder = +24% increase in ELECTRIC BLANKETS sold each week
1° Hotter = +2,448 more pairs of MEN'S SHORTS sold each week
1° Colder = +2.5% increase in TOTAL COMPANY SOFTLINE sales each week
1° Hotter = +22,424 more AUTOMOTIVE BATTERY failures each week
1° Hotter = +13% more HEDGE TRIMMER products sold each week
1° Colder = +1,000 more VAPORIZERS sold each week
1° Hotter = +2.0% increase in STORE KWH ENERGY CONSUMPTION each week
1° Hotter = +2.3% increase in HOME COOLING COSTS each week

In the Ski industry these long-range forecasts can be used to develop strategies on early season snow making. If there was a strong cold period in November but then an unfavorable warm December forecast, it would be wise to put down as much snow as possible on a few important trails rather than trying to put less snow on all trails. With a substantial base of snow on fewer trails, the resort will remain open during the hotter December and could capitalize as other resorts close. This scenario happened in 2006 for many Northeast resorts.

The Golf industry typically experiences a 2% decline in golf rounds played for every inch of rain. Colder weather year-on-year will further reduce rounds played in the Spring and Fall months. Extended periods of much drier weather week-after-week is a good sign that rounds played will be up but also indicates the threat for a drought. Knowing when the much drier periods are likely to occur helps turf management staff proactively plan for contingencies on watering greens (extra personnel or equipment), determining if fertilizers or pest controls should be delayed, determining demand for pro shop apparel items and demand for food and concessions at the club.

Other outdoor sporting venues like Football, Soccer, Baseball, NASCAR and Theme Parks can all be impacted by the weather. Really cold and inclement weather can cost an NFL franchise a 30%+ reduction in game attendance impacting concession sales and apparel merchandise sales.

The Movie Industry has scouts and location managers that plan the best possible location for a film, TV show, commercial, music video and the weather is always a factor. Being able to proactively find the ideal conditions can save millions of dollars by reducing the threat of having the wrong weather for a particular shoot.

Consumers will find this tool easy to use to plan a vacation, back-yard BBQ, wedding, graduation party or any other outdoor event dependent on the weather.

	Much Warmer		Warmer		Similar		Cooler		Much Cooler
	Much Wetter		Wetter		Similar		Drier		Much Drier

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