I need to calculate the average daily temperature for each month. As an input I have 5 .asc grids for 6, 9, 12, 15, and 18 GMT for each month of the year. I was wondering if there is a predefined tool to calculate the average using polynomial fitting. There is one GRASS module r.fitpoly, however it is not available in the standard version. The information about the GRASS module I had found here: http://www.sciencedirect.com/science/article/pii/S1364815205001593. Could you please give me a hint what else I can use for such procedure?
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Please edit the post and add the link to r.fitpoly (never heard of and don't find it). Please also add the link to the dataset.– markusNCommented May 8, 2014 at 6:46
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I found another solution as well. For those who are interested in the same applications you can use the tool - umesc.usgs.gov/management/dss/curve_fit.html– KatjaCommented May 9, 2014 at 8:32
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1 Answer
There is a new GRASS GIS 7 Addon which can reconstruct incomplete time series by calculating the missing data from a harmonic analysis. See
http://grass.osgeo.org/grass70/manuals/addons/r.hants.html
In order to install, use the Addon manager of the graphical user interface or g.extension. The method does not use polynomial fitting but HANTS which is also able to detect outliers.
