I'm fairly new to statistics in general and R specifically and am taking a biophysics course which uses both. My project is to determine trends in temperature and precipitation for my region, using daily measurements from a single monitoring station. I have daily values for Ave. Temp, min, and max, as well as precipitation. From what I have found in my research it seems like ARIMA may be the most effective option available (RHtestV4, etc. don't seem to be available to the public). Would you recommend using ARIMA modeling or is there another option available?
I've tried linear regression but even going to yearly means, there is still too much variance to obtain a decent trend line. Any information or tips would be immensely appreciated.