Landscape photographers love to shoot a mirroring in a calm water surface. VIEWFINDRs algorithm forecast when you must visit a photo spot containing a water surface in the image composition to photograph water reflections.
The algorithm works best for lakes and rivers, not for the seaside. We do not calculate wave height on the open ocean into the algorithm as it is nearly impossible to have a mirroring in open water. We regard windspeed only. No wind, perfect mirroring. Also, local turbulence in rivers are not in calculated.
The more the map is visible, the higher the chance of calm water. Simply choose a photo spot and tap the preview. You can combine a mirroring with other parameters, like a burning sky. Greyed out areas have no chance for a mirroring.
Only photo spots which contain calm water are connected to this parameter and will be visible on the map. Tap the icon to see a preview. If it suits your needs, go and visit the spot.
This parameter guarantees water reflection on inland waters. Waves on the sea are not taken into account. Rapids and waves on the water surface caused by flowing water are also not taken into account. Chose the parameter to photograph water reflections at calm lakes and rivers. If you need calm water for your composition, we show you the perfect moment.
Like any parameter with a gray color overlay, this is a template parameter. Areas where the map is clearly visible have a high probability. Areas where the map is grayed out have a low probability.
Based on the visualization we use, the “Streets” and “Outdoor” background maps provide the best contrast to see the color overlay well. The background map can be changed at the top of the menu bar.
The scale can be used to translate how high the probability is. Simply compare the map with the scale and read off the value. Please remember: a probability of 20% means that you will come up empty in 4/5 cases!
By scrolling the time scale you can change the date. An up arrow marks the sunrise, a down arrow the sunset on the respective date.
In the highly visible areas of the map, the probability of occurrence of the weather phenomenon is particularly high. Pick out photo spots in these areas. The weather overlay covers the photo spots up like a template. The better a marker can be seen, the higher the probability for the weather phenomenon to occur at this specific photo spot. To photograph water reflections you should take a closer look on the photo spots to see if they contain a useful body of water for your composition.
The weather forecast in VIEWFINDR is a computer simulation that very realistically forecasts the coming weather. However, the forecast is not exactly the reality and there will be deviations.
In VIEWFINDR new weather data is provided every 3h. For example, if you check for the probability of afterglow after sunset in the morning hours, the forecast will change several times over day. This is perfectly normal and that’s a good thing!
The closer the deadline, i.e. the sunset in the evening, the smaller the deviation of the computer simulation from reality becomes. The forecast becomes more precise. Before you finally set out to take pictures, you should therefore take another look at the current forecast.
You should therefore check the forecast again before you start your photography tour to see, if the probability is still high. Don’t be mad if the forecast probability changed into worse, it probably saved you from a bad outcome!
The weather forecast in VIEWFINDR is limited to 24h for local weather models and 72h for continental weather models. It is not useful to look into the future for a longer period. The forecast becomes inaccurate and is not reliable. Weather apps that allow forecasts of more than 3 days but do not provide any indication that the forecast is extremely inaccurate are a disgrace. This gives the
Just as the resolution of your camera is limited, i.e. it cannot take an “infinitely” sharp photo, the resolution of the weather model is also limited. This is 2.8km for Central European weather data and 7km for European weather data.
Structures and features of the landscape that are not that large are averaged by the model. For example, if a mountain is 800m high, and the valley next to it is 400m high, then the landscape for the weather model in that “pixel” is 600m high, corresponding to the average altitude.
This means that small structures, like narrow mountain valleys or local small river valleys cannot be properly captured by the model. This is not a problem, you just have to learn to deal with it. If a valley in the mountains is much smaller than the resolution of our weather model, then you have to interpolate.
Small valleys always end in larger valleys. You can therefore use the weather in the next larger valley as a good reference for the weather in a smaller, adjacent valley. In the example, you can see that the large valley is filled with fog. It is almost certain that the small valley is also filled with fog.
Due to the limited resolution, it makes sense not to use too much zoom. It is important that you look at the overall context. Therefore, consider the weather forecast not only for your location, but at least for the entire region where you are shooting.
This example show how the weather model sees the landscape. It is pixelated because of the limited resolution.
Due to limited resolution, this layer of low clouds/fog will not indicate fog in valleys with a size below the resolution.
Obviously only link photo spots to this parameter if they actually countain a water surface where a mirroring is possible, such as calm mountain lakes or slow rivers. Do not connect seaside places to this algorithm, except if they are disconnected to the open water, like a bay.
The algorithm is based on a high resolution weather forecast model. The high resolution allows to forecast windspeeds altered by the local topography, such as high altitude mountain lakes or lakes in small valleys which can be affected by foehn winds. Common weather apps do not provide such a high resolution and are imprecise for the needs of landscape photographers. Our weather algorithm can detect local winds even in complex areas such as mountain ranges.