Siphon | Firefox addon sync | Data Processing library

I'm kinda new with Metpy. I've been trying to calculate the temperature advection with Metpy but it's been unsuccessful. Since I'm new with this package, I don't understand why needs to have units to work properly. When I calculate temperature advection I end with some weird lines on my maps and I don't know why. I think it's because of the units or something but I'm not sure. I attach my script below:

I am trying to plot recent sea surface temperature data on a map. I got it working when I downloaded the netCDF4 file, but when I try to access the file from https://www.ncei.noaa.gov/thredds/, I get a TypeError saying, "Input z must be 2D, not 3D". The downloaded file I used originally was from: https://psl.noaa.gov/ Here's what I have:

I am working with the NDFD forecast datasets and would like to assign lat and long within the array to give me the ability to plot the data outside of matplotlib. My versions are:

python 3.8,metpy 1.0.0,cartopy 0.18.0, xarray 0.16.2, siphon 0.8.0

In Python I'm using a class out of library. I only want to call certain functions if a certain parameter is set.

For example:

I followed the example here (https://unidata.github.io/python-gallery/examples/Precipitation_Map.html) but when trying to access the units I get a dimensionality error. I'm assuming this is to do with pint and the way it parses units and the fact precipitation is a rate. Any help would be appreciated

I am new to plotting and examining wx data using python. I started with this example 850 hPa temp advection and its failing at this statement.

To preface I am working in Python 3.8.3 on windows 10 and using slate3k to parse through my pdf

I am working on a python program that will parse through a PDF and spit out a certain pattern and make a csv file for me.

However, when I try find the pattern with the parsed text, I am getting nothing.

I've taken an example of some parsed text and assigned it to parsed

longtime programmer but new to python and metpy. I'm trying to learn by following the examples on the unidata site and youtube (metpy mondays)

I'm trying to follow along with building a simple skew-t lesson and running into an issue. When I try to use imports like so:

I have been tasked with making plots of winds at various levels of the atmosphere to support aviation. While I have been able to make some nice plots using GFS model data (see code below), I'm really having to make a rough approximation of height using pressure coordinates available from the GFS. I'm using winds at 300 hPA, 700 hPA, and 925 hPA to make an approximation of the winds at 30,000 ft, 9000 ft, and 3000 ft. My question is really for those out there who are metpy gurus...is there a way that I can interpolate these winds to a height surface? It sure would be nice to get the actual winds at these height levels! Thanks for any light anyone can share on this subject!