@hangInThere Windy interpolation is applied between grid points based on GRIB files provided by the weather model. You know that forecast parameters are supplied in this format files on a grid at the resolution spacing. It is the reason why the temperature near the sea shore is an weighted average between temperature over the land and over the sea. So interpolation is smoothing the reality, but it allows to produce weather map. Meteoblue is not a non-gridded model. The parameters like temperature is based on a Multimodel using the nearest grid point of several weather models. So this model is not able to plot a weather map as it provides discrete values. Note there is no Meteoblue map in Windy. Furthermore, as I use to sail at sea, I discovered that the wind speed at short distance of the coast was lower by Meteoblue than that predicted by each individual model. Meteoblue explained to me that on seashore their model considers the nearest grid point on the land but not over the sea, probably because there are much more people wanting to know weather forecast on land rather over the sea. So for temperature on land near the sea, Meteoblue provides a better estimation than an interpolation between sea and land, but worst over the sea near the coast. Hope it helps and explanation is clear.