Sea Level Rise in Salt Marshes¶

With a warming climate, we have observed global sea level rise due to 1) melting ice sheets and glaciers and 2) seawater expanding at higher temperatures (NASA). Sea level rise is a global threat, but this project will examine sea level rise at a more local level -- specifically, in Plum Island Estuary in Massachusetts.

Plum Island Estuary (PIE) is the largest contiguous salt marsh in the Northeastern U.S. and an important habitat for many species. In the event of rising sea levels, more saline water (salty ocean water) would enter the marsh and potentially compromise plants' growing environment (Jacobson). Marshes are also very efficient at capturing carbon, making them important ecosystems to protect (NOAA).

This project will look at monthly mean sea level data in PIE from 1921 to 2018 to determine whether sea level rise is occuring in PIE. Regression will then be used to estimate sea levels in the next few years by using time as an input feature and sea level as an output feature.

The Dataset¶

This data is taken from the Environmental Data Initiative, the main repository for PIE data. It provides robust data on sea level from 1921 to 2018, and will be very informative in tracking/predicting sea level rise in PIE.

In [7]:
import pandas as pd
df_slr = pd.read_csv('MON-BO-SeaLevel-Monthly-MSL.csv')
df_slr.head(10)
Out[7]:
Station Year Month Highest MHHW MHW MSL MTL MLW MLLW Lowest
0 8443970 1921 1 NaN NaN NaN -0.228 NaN NaN NaN NaN
1 8443970 1921 2 NaN NaN NaN -0.268 NaN NaN NaN NaN
2 8443970 1921 3 NaN NaN NaN -0.335 NaN NaN NaN NaN
3 8443970 1921 4 NaN NaN NaN -0.277 NaN NaN NaN NaN
4 8443970 1921 5 NaN NaN NaN -0.198 NaN NaN NaN NaN
5 8443970 1921 6 NaN NaN NaN -0.222 NaN NaN NaN NaN
6 8443970 1921 7 NaN NaN NaN -0.240 NaN NaN NaN NaN
7 8443970 1921 8 1.759 NaN 1.143 -0.298 -0.338 -1.822 NaN -2.447
8 8443970 1921 9 1.698 NaN 1.183 -0.262 -0.301 -1.783 NaN -2.447
9 8443970 1921 10 1.820 NaN 1.177 -0.274 -0.308 -1.792 NaN -2.356

Metadata¶

Attribute Description
Station numerical identifier for the station data was collected from
Year year (YYYY)
Month month (numerical)
Highest highest tide of the month
MHHW mean higher-high water (average of the highest tides each day over the month)
MHW mean high water (average of all high tides over the month)
MSL mean sea level
MTL mean of MHW and MLW
MLW mean low water (average of all low tides over the month)
MLLW mean lower-low water (average of the lowest tides each day over the month)
Lowest lowest tide of the month

References¶

Giblin, A. and Plum Island Ecosystems LTER. 2019. Monthly mean sea level data (1921-2018) relative to NAVD88 for Boston, Massachusetts, NOAA/NOS ver 7. Environmental Data Initiative. https://doi.org/10.6073/pasta/94d41263ef3f9f19e9ccd83d89b422fd (Accessed 2023-02-23).

Jacobson, R. What happens to a marsh when sea levels rise? https://www.pbs.org/newshour/science/will-salt-marshes survive-rising-sea-levels (accessed Feb 23, 2023).

NASA. Sea level. https://climate.nasa.gov/vital-signs/sea-level/ (accessed Feb 23, 2023).

NOAA. Coastal Blue Carbon. https://oceanservice.noaa.gov/ecosystems/coastal-blue-carbon/ (accessed Feb 23, 2023).