How can using weather data benefit your business?
In the outdoor world of landscape maintenance, staying ahead of the weather is crucial for success.
By using weather data to your full advantage, you can improve the efficiency of your business, leading to better resource management, and cost savings. You'll be able to prepare and adapt to the increasing unpredictability brought about by climate change, making sure your business will thrive for years to come.
What are the different types of weather data?
The usefulness of weather data isn't limited to checking the forecast to see if it will rain over the next few days; you can look at data which helps predict longer-term weather patterns that could impact your work.
You don't need to be a meteorologist to take advantage of the weather data available to you. We'll help you understand how best to use weather data, making it a more accessible tool for your business planning.
Short-term weather data
As the name suggests, weather forecasts that cover the next few hours to three days ahead are considered to be short-term forecasts. Short-term forecasts can:
- Give you a snapshot of current conditions, providing real-time data on temperature, humidity, wind speed, and precipitation to help you make immediate decisions for daily tasks.
- Provide the most accurate weather predictions available to us. They can help you plan your week and take immediate protective measures against adverse weather conditions like storms or frost.
Medium-term weather data
Officially, medium-term forecasts look between three to ten days ahead, and typically use data from the European Centre for Medium Range Weather Forecasts (ECMWF). Medium-term forecast data can be useful for:
- Planning larger projects and maintenance schedules. For example, knowing the likelihood of extended dry spells can guide irrigation plans and drought preparations.
- Anticipating severe weather. Medium-term forecasts have a good track record of accurately predicting severe weather conditions.
Extended-term weather data
Any forecast beyond this is considered to be long range. They're far less accurate or detailed than a short-term forecast, but can provide a useful indicator of what to expect.
Extended-term weather data is useful for:
- Providing predictions for the upcoming season, which can help with more strategic planning, like preparing for extreme hot weather i.e. choosing drought-resistant grass seed.
- The unpredictability of these longer-term forecasts is influenced by the chaotic nature of the atmosphere; a relatively small event over the Atlantic can develop into something major over the course of several days when it arrives in Europe.
Real-time vs historical weather data
Most weather forecasts that you would come into contact with day-to-day use real-time data, but for predicting changes in season and weather over a longer period, such as extreme heat becoming the norm, not an outlier, historical weather data is very useful.
Historical weather data is useful for:
- Noticing and understanding climate patterns. If four of the last five years have seen an unusually hot summer, it's no longer unusual – it's now a norm you must prepare for. Similarly, if spring starts earlier or the winter frost later over several years, you should adjust your schedule for the year.
- Predicting extreme weather events. Again, patterns over the course of several years can be an indicator of when to expect extreme weather such as heatwaves, droughts, and floods, so you can prepare in advance.
If you don't want to analyse data sets, you can make a note each year of significant weather and climate activity, and the start of each season yourself – or, if your memory is up to the task, cast your mind back to the past five years – and notice patterns that are becoming regular, and adjust your work schedule accordingly.
Local and global weather data
You can also distinguish between local and global weather data. As you would expect, local is specific to your location, city or country, while the latter takes a world view. Global forecast data can still be useful to landscapers; global weather phases such as El Niño and La Niña can have a significant impact on landscapers in Europe.
Data sets landscapers should closely monitor
Within meteorological data sets, there are a few specific areas landscapers should turn their focus:
- Precipitation data – useful for scheduling day-to-day activity, as well as irrigation planning and drought management.
- Relative humidity – this influences plant transpiration rates and disease susceptibility; if there are high levels of moisture in the air, pest and fungal issues may arise.
- Snowfall and freeze alerts – giving you time to prepare your clients' lawns for frost and snow.
- Wind direction and speed – you may decide against spreading fertiliser, planting or any cutting that requires a ladder if wind speeds are predicted to be high.
- UV index – for your own protection rather than the grass, keeping an eye on the UV index, even on cloudy days, can help you protect yourself from sun damage.
How to use weather forecasts and current weather data effectively