Four #HyRiver packages have been updated to 0.16.1 with new features and bug fixes.

Highlights:
- PyDaymet has a new function for retrieving #Daymet data from STAC which can be much faster than using THREDDS.
- A new tutorial for navigating #NHD network using networkx
#python #geospatial #GIS

You can find the tutorial here: https://docs.hyriver.io/examples/notebooks/nhd_navigation.html

and read the changelogs here: https://docs.hyriver.io/changelogs.html

With recent news about the hottest day ever recorded on our planet, I decided to update my #WarmingStripes #ClimateStripes plot for #Seattle with data since I first made it two years ago. This uses the #ulmo #python library, reading data from #NASA #DayMet. Make your own warming stripes plot for your favorite spot with this #jupyter notebook: https://nbviewer.org/github/spestana/ulmo-warming-stripes/blob/main/warming-stripes.ipynb #DataViz #climate #visualisation #climateChange #visualization
Jupyter Notebook Viewer

#30DayMapChallenge Day 12: #Scale

Gridded air #temperature over Connecticut, US from datasets with differing grid sizes.

NCEP/NCAR: ~209 km
@CopernicusECMWF ERA5: ~30 km
#Daymet: ~1 km

Grid sizes of CMIP6 #climate models fall between the first two (closer to NCEP/NCAR).