ECOSTRESS Collection 2 Calibration/Validation Data Tables

This Python package provides calibration and validation data tables used in the evaluation of the ECOSTRESS Collection 2 Evapotranspiration (ET) data products. The included datasets and loader functions support reproducible research and validation workflows for ET modeling and remote sensing studies.

The CSV files used in this repository were sourced from the @zoepierrat/ECOSTRESS_C2_L3_ET_Validation repository.

Authors

Zoe Pierrat (she/her)
zoe.a.pierrat@jpl.nasa.gov
NASA Jet Propulsion Laboratory 329G

Gregory H. Halverson (they/them)
gregory.h.halverson@jpl.nasa.gov
NASA Jet Propulsion Laboratory 329G

Installation

Install the package directly from PyPI using pip. Note that the package name uses dashes (-) for installation:

pip install ECOv002-calval-tables

Usage

Import the loader functions to access the data tables as pandas DataFrames. Note that the importable package name uses underscores (_):

from ECOv002_calval_tables import load_combined_eco_flux_ec_filtered, load_metadata_ebc_filt

df_flux = load_combined_eco_flux_ec_filtered()
df_metadata = load_metadata_ebc_filt()

Data Tables

• combined_eco_flux_EC_filtered: Filtered eddy covariance flux data for ECOSTRESS validation.
• metadata_ebc_filt: Metadata for the filtered flux sites.

Citation

If you use these data tables or code in your research, please cite:

Pierrat, Zoe A.; Purdy, Adam J.; Halverson, Gregory H.; Fisher, Joshua B.; et al. (2024). Evaluation of ECOSTRESS Collection 2 Evapotranspiration Products: Strengths and Uncertainties for Evapotranspiration Modeling. Water Resources Research. https://doi.org/10.1029/2024WR039404

BibTeX:

@article{Pierrat2024,
  author       = {Pierrat, Zoe A. and Purdy, Adam J. and Halverson, Gregory H. and Fisher, Joshua B. and et al.},
  title        = {Evaluation of ECOSTRESS Collection 2 Evapotranspiration Products: Strengths and Uncertainties for Evapotranspiration Modeling},
  journal      = {Water Resources Research},
  year         = {2024},
  doi          = {10.1029/2024WR039404}
}