For me climate is a weighted average with data from at least 5 years, 10 years of daily data would be better.
When we started looking at out land, I started keeping a log (hourly charting) of; Temperature, humidity, sunrise and sunset times, rain (when how much in how long), wind (speed, direction, humid or drying).
This gives a way to build an idea of what to expect your plants and trees will have to deal with. At first it is short term but as your data builds you should be able to see a bigger and bigger picture of what is happening on your land weather wise.
Once you know what happens over a long period of time you can then determine the climate and start to predict what to expect in months to come.
Climate can be broken down or expanded (your acreage or all the way to your continent) Large scale climate has many extra variables if compared to a
local climate sub set of data.
Things like an El Nino or La Nina can effect weather patterns over the entire hemisphere. The temperature of ocean currents and their rate of flow can effect things like the intensity of storms, the size of storms, wind shear and all the other aspects of a storm event.
Since the 1970's our ability to collect data and use it has been improving, but this is leading to a dependency on computer modeling for predicting weather events and there are occasions when all the algorithms used give out wrong predictions.
This is getting better as we go along because we make corrections to the algorithms and modeling software.
All this is getting us to the point where we should be able to predict, with accuracy, the strength, duration, expected direction, of most supercell storms and hurricanes, we aren't there yet, but we keep getting closer and closer.
Redhawk