From bd22af08f74a08da19c8aaeb6ca41d982d5deb96 Mon Sep 17 00:00:00 2001
From: shelbykniss <156869754+shelbykniss@users.noreply.github.com>
Date: Mon, 9 Dec 2024 13:37:44 -0700
Subject: [PATCH] Update README.md

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index cc2390b..714ec87 100644
--- a/README.md
+++ b/README.md
@@ -16,9 +16,9 @@ Data_Processing.ipynb: Download, clean and fill missing Sea Ice Concentration Da
 
 Arctic_Analysis.ipynb: Calculate percent area of sea ice coverage for the overall Arctic using NSIDC's Sea Ice Index V3 data. Export to csv for easier access later.
 
-Route_Analysis.ipynb: Calculate the percent length of each sea route containing greater than 15% SIC for each September using NOAA OISST V2 Data.
+Route_Analysis.ipynb: Calculate the percent length of each sea route containing greater than 15% SIC for each September using NOAA OISST V2 Data. Export data to .csv for easier access later.
 
-Trouble_Spot_Analysis.ipynb: Identify trouble spots along each sea route by plotting increasing SIC using NOAA OISST V2 long term mean SIC Data. Then, use monthly mean SIC data to replicate calculations from Route-Analysis to generate a time series of percent coverage data for each trouble spot in September.
+Trouble_Spot_Analysis.ipynb: Identify trouble spots along each sea route by plotting increasing SIC using NOAA OISST V2 long term mean SIC Data. Then, use monthly mean SIC data to replicate calculations from Route-Analysis to generate a time series of percent coverage data for each trouble spot in September. Export data to .csv for easier access later.
 
 Trend_Analysis.ipynb: Plot time series for each scale and location, fit a linear regression model to each, calculate slope and RMSE for each model, then resample residuals with replacement to generate 1000 bootstraps for each model to calculate 95% CIs and inform projection estimates to 2100.