FluxNet is a worldwide collection of sensor stations that record a number of local variables relating to atmospheric conditions, solar flux and soil moisture. This notebook visualizes the data used in the NASA Goddard/University of Alabama carbon monitoring project NEE Data Fusion (Grey Nearing et al., 2018), but using Python tools rather than Matlab.
The scientific goals of this notebook are to:
- examine the carbon flux measurements from each site (net C02 ecosystem exchange, or NEE)
- determine the feasibility of using a model to predict the carbon flux at one site from every other site.
- generate and explain model
The "meta" goal is to show how Python tools let you solve the scientific goals, so that you can apply these tools to your own problems.
import sys import dask import numpy as np import pandas as pd import holoviews as hv import hvplot.pandas import geoviews.tile_sources as gts pd.options.display.max_columns = 10 hv.extension('bokeh', width=80)