Milestone3: Compute climatology of sea ice concentration

polarwatch / internship24

PolarWatch internship

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Milestone3: Compute climatology of sea ice concentration #7

Closed shospital closed 2 months ago

shospital commented 3 months ago

[x] Sunny to provide a python code snippet that load data into memory
[x] Sunny to provide dates and frequency for climatology and how to present in the map
[x] Sunny to provide a general structure of data summary report
[x] Sunny to provide trend info

shospital commented 2 months ago

import xarray as xr

server = "https://polarwatch.noaa.gov/erddap/griddap"
dataset_id = "ERDDAP_DATASET_ID"

full_URL = '/'.join([server, dataset_id])
ds = xr.open_dataset(full_URL, chunks={"time": "auto"})
ds = ds.sel(time=slice('2024-01-01', '2024-01-07'))

shospital commented 2 months ago

Frequency: weekly Climatology date range: 2006-2020 Questions for data analysis:

compare weekly means of sea ice concentration to the current year sea ice concentration
compute anomalies and trends for 2023
what were the weeks that show significant difference?
Select weeks in 4 seasons and map trends/anomalies/sea ice concentration

example https://climate.copernicus.eu/climate-indicators/sea-ice

shospital commented 2 months ago

temporal trends article and sample codes at https://medium.com/@jaydharpure2007/exploring-temporal-trends-analyzing-time-series-and-gridded-data-with-python-50eac2a13354

@tntly let me know if you can access the article.

tntly commented 2 months ago

Thank you, @shospital. I’ve completed the analysis of the anomalies and trends and am currently working on the t-test sections. I’ve uploaded the milestone 3 notebook to my branch if you want to review the plots I’ve finished so far.

shospital commented 2 months ago

looks great! please submit PR.

shospital commented 2 months ago

@tntly In the notebook, the sea ice concentration says (%), but it's proportion 0-1.