Hydrometeorology Research Project: Temperature

This project involves analyzing monthly NARR variables of your choice from a geographical region(s) of your choice to examine the factors or processes responsible for changes in the hydrologic regime that may be related to a changing climate. The North American Regional Reanalysis model covers most of North and Central America and vast portions of the Atlantic, Pacific and Arctic oceans, has hundreds of output parameters at 32 km horizontal resolution and 29 pressure levels that extend back to 1979 from present. The graphics utility is quite flexible for plotting monthly or seasonal means and anomalies and the time series plotting utility is quite useful as well, although at a slightly coarser scale of 64 km.

My topic is about Florida and there are three variables which are air temperature at surface , vegetation type and specific humidity. The vegetation type is the cause of the air tem changes and the specific humidity is the implications of the air tem. (OR veg is the implication and humidity is the cause.)  

There are five excel data which are for air temperature, vegetation type, specific humidity, latitude and longitude in Florida. And each variable has 12 months data from ubkjh .  you should chose an averaging period to compare to the climate normal temperature.

In order to do statistical tests like t-tests or ANOVA or regression with the NARR data you will need some platform to convert the data from the NOAH web site which is in NETCDF format into a format you can do the analysis with.

Both MATLAB and R have modules which will convert NETCDF data. There is also an ESRI module for converting NETCDF data to Excel and we have made some provisions to provide you with training to allow you to learn how to use this. 

So do some analysis about data using t-tests or other ways and make some charts or tables.