From dc61865079e928ede02bba7d858ef39adc03bb40 Mon Sep 17 00:00:00 2001
From: Evan Belkin <“ebelkin@albany.edu”>
Date: Thu, 13 Jun 2024 18:29:51 +0000
Subject: [PATCH] upate

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 README.md | 2 --
 1 file changed, 2 deletions(-)

diff --git a/README.md b/README.md
index 18a911d..bb9f6f9 100644
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@@ -8,8 +8,6 @@ This Project Pythia Cookbook covers Stage IV Precipitation data analysis that ca
 
 ## Motivation
 
-Due to its high-resolution grid spacing, Hourly Stage IV Precipitation is a highly beneficial tool for analyzing precipitation observations throughout the contiguous United States. Stage IV data is plotted on a 4 km by 4 km polar-stereographic grid, allowing for identification of discontinuities as a result of the operational process. Upon completion of the cookbook, one will gain experience with packages such as cartopy, metpy, and numpy as well as a pandas dataframe, yo!.
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 ## Authors
 
 [Evan Belkin](http://github.com/evan-belkin), [Marian de Orla-Barile](https://github.com/mariandob), [Selena Ramos](https://github.com/Selenaramoswx), [Kimberly Riek](https://github.com/Kriek21), [Kathryn Rooney](https://github.com/kathrynrooney)