The types of plants that produce pollen vary from one region to another. BreezoMeter collects data on the types of pollen from trees, grasses, and weeds. The information is from up to 15 different plant species around the world.

Breaking down local pollen data into these three categories (tree, grass and weed pollen) helps keep track of the global pollen seasons. This way, you can see which regions are impacted by each type of pollen.

The algorithm considers many factors to create a high-resolution 3-day forecast, including data on a global scale.

BreezoMeter has created a model that considers different types of pollen data, such as:

• Weather forecast & climate data
• Annual total production of pollen
• Phenological data - the pollen seasons
• Vegetation land cover

BreezoMeter's pollen data can tell you how much pollen is in the air in a specific area of 1km².

Traditional pollen monitoring involves manual pollen traps. Manual pollen traps are devices that move air over sticky films over 24 hours, catching any airborne particles. The strips are then removed and looked at under a microscope to count the pollen grains. But this method can be inconsistent and inaccurate, and some pollen data providers don’t count the pollen at weekends or holidays. 

The manual way of pollen tracking has many gaps in its data. There can be a delay in reporting and significant gaps in terms of coverage because pollen trap stations can only report according to the trap's physical location.

The data from the sticky pollen traps can take a long time to update - sometimes 24 hours or more. The 'current day' data on some pollen counting stations is not always accurate because it’s based on a forecast. The data only gets updated with the actual measurement once it's been counted manually.

Other providers use high-resolution modeling and technology to help them overcome inaccuracies, delays and low coverage issues.

Why do different pollen data providers have different information for the same location?

There are many pollen data providers globally, and they may measure pollen levels differently for different reasons.

Different pollen data providers have their own thresholds for low, medium, and high pollen levels. There's no right or wrong answer for the threshold level, just different interpretations.

Allergies are a very personal thing. People who have allergies can react differently to other people who have allergies. Some people's symptoms may feel terrible, while others may not be affected as much.

It might be that you’ve had an allergic reaction to pollen in the air from hours ago. The wind carries pollen, and your body might react to it when it moves from one place to another.

Keep in mind that you might be allergic to something other than pollen. House dust mites and pets are also a common cause of respiratory allergies. If the air quality isn’t good, it can make allergy symptoms feel worse. [This simple test can help you find out if you’re in control of your allergies.]

Sometimes our app shows low pollen levels, but you may feel badly affected. Other times the app may say the pollen levels are high, but you feel fine. The good thing about our app is that you can log how you feel, no matter the pollen levels.

If you want the app to help you predict how you'll feel the next day, you need to log how the pollen levels affect you every day. If you are consistent with logging how you feel, the algorithm can learn your patterns and give you a better idea of how you might feel the following day.

BreezoMeter provides data on the amount of pollen in the air worldwide, but local providers have data on a regional level. So, the results may be different.

Local providers usually present pollen readings with a delay of up to 24 hours. During pollen season, it may be even more.

Different pollen data providers have different levels that they consider to be low, medium, and high pollen levels. There is no one benchmark for this question. It depends on what the provider considers to be a high level of pollen.

The types of plants that produce pollen vary from one region to another. BreezoMeter collects data on the types of pollen from trees, grasses, and weeds. The information is from up to 15 different plant species around the world.

Breaking down local pollen data into these three categories (tree, grass and weed pollen) helps keep track of the global pollen seasons. This way, you can see which regions are impacted by each type of pollen.

The algorithm considers many factors to create a high-resolution 3-day forecast, including data on a global scale.

BreezoMeter has created a model that considers different types of pollen data, such as:

• Weather forecast & climate data
• Annual total production of pollen
• Phenological data - the pollen seasons
• Vegetation land cover

BreezoMeter's pollen data can tell you how much pollen is in the air in a specific area of 1km².

Traditional pollen monitoring involves manual pollen traps. Manual pollen traps are devices that move air over sticky films over 24 hours, catching any airborne particles. The strips are then removed and looked at under a microscope to count the pollen grains. But this method can be inconsistent and inaccurate, and some pollen data providers don’t count the pollen at weekends or holidays. 

The manual way of pollen tracking has many gaps in its data. There can be a delay in reporting and significant gaps in terms of coverage because pollen trap stations can only report according to the trap's physical location.

The data from the sticky pollen traps can take a long time to update - sometimes 24 hours or more. The 'current day' data on some pollen counting stations is not always accurate because it’s based on a forecast. The data only gets updated with the actual measurement once it's been counted manually.

Other providers use high-resolution modeling and technology to help them overcome inaccuracies, delays and low coverage issues.

Why do different pollen data providers have different information for the same location?

There are many pollen data providers globally, and they may measure pollen levels differently for different reasons.

Different pollen data providers have their own thresholds for low, medium, and high pollen levels. There's no right or wrong answer for the threshold level, just different interpretations.

Allergies are a very personal thing. People who have allergies can react differently to other people who have allergies. Some people's symptoms may feel terrible, while others may not be affected as much.

It might be that you’ve had an allergic reaction to pollen in the air from hours ago. The wind carries pollen, and your body might react to it when it moves from one place to another.

Keep in mind that you might be allergic to something other than pollen. House dust mites and pets are also a common cause of respiratory allergies. If the air quality isn’t good, it can make allergy symptoms feel worse. [This simple test can help you find out if you’re in control of your allergies.]

Sometimes our app shows low pollen levels, but you may feel badly affected. Other times the app may say the pollen levels are high, but you feel fine. The good thing about our app is that you can log how you feel, no matter the pollen levels.

If you want the app to help you predict how you'll feel the next day, you need to log how the pollen levels affect you every day. If you are consistent with logging how you feel, the algorithm can learn your patterns and give you a better idea of how you might feel the following day.

BreezoMeter provides data on the amount of pollen in the air worldwide, but local providers have data on a regional level. So, the results may be different.

Local providers usually present pollen readings with a delay of up to 24 hours. During pollen season, it may be even more.

Different pollen data providers have different levels that they consider to be low, medium, and high pollen levels. There is no one benchmark for this question. It depends on what the provider considers to be a high level of pollen.