Xu et al. (2026) Code for evaluating WRF physics parameterization schemes over Xinjiang
⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.
Identification
- Journal: Open MIND
- Year: 2026
- Date: 2026-04-05
- Authors: Yang Xu, Liang Zhang, Mengxin Bai, Shao‐Fen Tian, Zhixin Hao
- DOI: 10.5281/zenodo.19426912
Research Groups
Not explicitly stated in the provided text.
Short Summary
This study focuses on optimizing various WRF physics parameterization schemes for multi-decadal simulation of near-surface climate specifically over arid Xinjiang, China, with the associated repository providing the code and configurations for reproducibility.
Objective
- To identify and optimize WRF physics parameterization schemes for accurate multi-decadal simulation of near-surface climate over arid Xinjiang, China.
Study Configuration
- Spatial Scale: Regional (arid Xinjiang, China)
- Temporal Scale: Multi-decadal
Methodology and Data
- Models used: Weather Research and Forecasting (WRF) model with multiple physics parameterization schemes.
- Data sources: Not explicitly stated in the provided text (the repository contains model configurations and run scripts, not input/evaluation data sources).
Main Results
The provided text describes the code repository for the study, not the specific results. The study evaluates multiple WRF physics parameterization schemes, implying that the main results would detail their performance and identify an optimal configuration for near-surface climate simulation over the specified region.
Contributions
This research contributes optimized WRF physics configurations tailored for multi-decadal near-surface climate simulations in arid Xinjiang, China, and provides a reproducible experimental design through its public code repository.
Funding
Not explicitly stated in the provided text.
Citation
@article{Xu2026Code,
author = {Xu, Yang and Zhang, Liang and Bai, Mengxin and Tian, Shao‐Fen and Hao, Zhixin},
title = {Code for evaluating WRF physics parameterization schemes over Xinjiang},
journal = {Open MIND},
year = {2026},
doi = {10.5281/zenodo.19426912},
url = {https://doi.org/10.5281/zenodo.19426912}
}
Original Source: https://doi.org/10.5281/zenodo.19426912