RADET Evapotranspiration Time Series Dataset for Flux-Site Validation with Accompanying Model and Analysis Code

Read full text
Authors: Yeonuk Kim, Justin Huntington, Bruno Comini de Andrade, Mark Stephen Johnson, John Volk, Sayantan Majumdar, Charles Morton, Peter M. ReVelle
Cited by: 0

Abstract

Overview This dataset includes daily and monthly evapotranspiration (ET) time series data produced by the RADET model, extracted at locations corresponding to in situ flux measurement sites. The in situ flux observations used for evaluation are described in Volk et al. (2023) (https://doi.org/10.1016/j.agrformet.2023.109307), with the corresponding dataset available at https://zenodo.org/records/7636781. RADET ET estimates were derived from satellite observations sampled using flux footprints and generated at both daily and monthly temporal resolutions. The resulting time series are consistent with those used in the OpenET Phase II Intercomparison, as described in Volk et al. (2024) (https://doi.org/10.1038/s44221-023-00181-7), with the associated dataset available at https://zenodo.org/records/10119477. Description of the data and file structure The dataset is distributed as a compressed (zipped) archive and must be downloaded and extracted prior to use. The archive contains the following files: 1. Daily RADET ET time-series file: A comma-separated values (CSV) file containing daily RADET ET estimates (mm day⁻¹) for each flux site at satellite overpass dates. 2. Monthly RADET ET time-series file: A CSV file containing monthly aggregated RADET ET estimates (mm month⁻¹) for the same set of flux sites. Metadata describing the flux sites included in this dataset (e.g., site identifiers, locations, and land-cover information) are available from https://zenodo.org/records/7636781 and https://zenodo.org/records/10119477. The corresponding in situ flux measurements are not included in this archive and should be obtained from the original data sources (https://zenodo.org/records/7636781).

Fields of Study & Subjects

Hydrology and Drought Analysis Soil Moisture and Remote Sensing Plant Water Relations and Carbon Dynamics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 January 2026
Language
EN
Document type
Dataset