Gan et al. (2026) Asymmetric Response of Land Precipitation Variability Under Carbon Dioxide Removal
⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.
Identification
- Journal: Journal of Geophysical Research Atmospheres
- Year: 2026
- Date: 2026-09-05
- Authors: Ruyu Gan, Kaiming Hu, Qi Liu, Gang Huang, Suqin Zhang
- DOI: 10.1029/2026jd047086
Research Groups
- Climate Modeling Intercomparison Project (CMIP6) research groups and modeling centers
- University of [Insert University Name] Department of Earth Sciences
Short Summary
This study investigates how precipitation variability responds to symmetric carbon dioxide removal experiments using CMIP6 models, revealing an asymmetric response across time scales.
Objective
- Investigate the impact of CO2 forcing on precipitation variability at various temporal scales
Study Configuration
- Spatial Scale: Global and regional (North America, Europe, South Asia, East Asia)
- Temporal Scale: Day-to-day to intraseasonal (time scales from days to weeks)
Methodology and Data
- Models used: CMIP6 models (idealized carbon dioxide removal experiments)
- Data sources: Model output data
Main Results
- Precipitation variability strengthens with increasing CO2 concentrations.
- The ramp-down phase shows stronger precipitation variability than the ramp-up phase, even at comparable CO2 concentrations.
- Asymmetry is evident across time scales and pronounced over densely populated regions.
Contributions
- This study highlights a previously unknown asymmetric response of short-timescale precipitation variability to CO2 forcing, contributing to the understanding of hydroclimatic variability beyond CO2 reduction periods.
Funding
- [Insert funding projects, programs, and reference codes]
Citation
@article{Gan2026Asymmetric,
author = {Gan, Ruyu and Hu, Kaiming and Liu, Qi and Huang, Gang and Zhang, Suqin},
title = {Asymmetric Response of Land Precipitation Variability Under Carbon Dioxide Removal},
journal = {Journal of Geophysical Research Atmospheres},
year = {2026},
doi = {10.1029/2026jd047086},
url = {https://doi.org/10.1029/2026jd047086}
}
Original Source: https://doi.org/10.1029/2026jd047086