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Maybe the most elegant fix would be to use a datetime object (like POSIXct in R + some c++ equivalent) to parse the timestamp and do all of the conversions between different representations. That way the weather data would only need a single column / variable containing the year, day, and time (and timezone). Alternatively, we could have the |
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Looking at the module
thermal_time_and_frost_senescence, I noticed that this module accommodates (or tries to accomodate) locations in the southern hemisphere. But how would weather data for such a location be presented? Presumably the growing season would span years. But the year column is ignored by all modules exceptsolar_position_michalsky. Presumably the row afterdoy = 365, hour = 23would havedoy = 1, hour = 0and the corresponding times would be computed as365.958333and1.000000. This will obviously cause problems.Beta Was this translation helpful? Give feedback.
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