title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	pinned	license
Carbon.bird	💻	yellow	blue	gradio	3.20.1	app.py	false	apache-2.0

Clim4x is a climate AI project, developing enhanced climate projections by correcting using observerational data.

https://docs.google.com/document/d/1mZgRFhKuqv9cWR1RvxGKw20VoKU6Qwc9dB62n636PYE/edit

air temp from satellite land temp https://www.nature.com/articles/sdata2018246

Data Sources:

NCAR https://rda.ucar.edu/thredds/catalog/catalog.html

NOAA https://www.ncei.noaa.gov/thredds/catalog.html

NASA https://data.giss.nasa.gov/gistemp/

Gistemp also available on opendap gistemp/combined/250km/ air.2x2.250.mon.1991-2020.ltm.comb.nc air.2x2.250.mon.anom.comb.nc

Xarray can be fast or slow, depending. Think carefully about what your function calls are triggering. https://climate-cms.org/posts/2021-07-29-coarsen_climatology.html

Converting to/from xarray and panads: xarray: dataarrays, dataframes and pandas: multi-indexes panesl deprecated https://docs.xarray.dev/en/stable/user-guide/pandas.html

Using netCDF4 files in Python: https://pypi.org/project/netCDF4/

Plotting Use html renderer for ease https://plotly.com/python/renderers/ Combine map and contour https://gradio.app/plot-component-for-maps/ https://plotly.com/python/contour-plots/