Temiz et al. (2026) A Station-Anchored Open-Data Reference Evapotranspiration Screening Workflow for Climate-Resilient Water-Demand Assessment Under Incomplete Meteorological Records
⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.
Identification
- Journal: Water
- Year: 2026
- Date: 2026-09-05
- Authors: Temel Temiz, Osman Sönmez
- DOI: 10.3390/w18172208
Research Groups
- Turkish State Meteorological Service (MGM)
- University of [Unknown]
Short Summary
This study develops a station-anchored open-data evapotranspiration (ETo) screening workflow for assessing local product compatibility under incomplete meteorological records in the eastern Marmara region.
Objective
- Investigate the feasibility of using open-data reference ETo products as substitutes for station-derived ETo under incomplete meteorological records.
Study Configuration
- Spatial Scale: Eastern Marmara region, Turkey.
- Temporal Scale: 1990–2020.
Methodology and Data
- Models used: Hargreaves-Samani (HS), FAO-56 Penman-Monteith (PM).
- Data sources: TerraClimate v1.1 reference ETo, Turkish State Meteorological Service (MGM) stations.
Main Results
- TerraClimate reproduced the annual ETo cycle strongly but showed station-dependent and calendar-month-dependent biases.
- Train-only monthly-bias and nested L2 residual corrections reduced pooled blocked out-of-sample mean absolute error (MAE).
- Measured-radiation PM subsets at Kocaeli and Yalova showed offsets of −4.42% and +3.37%, respectively.
Contributions
- This study provides a station-anchored open-data ETo screening workflow for assessing local product compatibility under incomplete meteorological records.
- The results highlight the importance of season-aware compatibility screening before using gridded ETo for climate-resilient water-resource planning.
Funding
- [Not specified in the paper]
Citation
@article{Temiz2026StationAnchored,
author = {Temiz, Temel and Sönmez, Osman},
title = {A Station-Anchored Open-Data Reference Evapotranspiration Screening Workflow for Climate-Resilient Water-Demand Assessment Under Incomplete Meteorological Records},
journal = {Water},
year = {2026},
doi = {10.3390/w18172208},
url = {https://doi.org/10.3390/w18172208}
}
Original Source: https://doi.org/10.3390/w18172208