Liang et al. (2025) Correction: Liang, J.; Griswold, J.D.S. Assessment of Aerosol Optical Depth, Cloud Fraction, and Liquid Water Path in CMIP6 Models Using Satellite Observations. Remote Sens. 2025, 17, 2439

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Remote Sensing
• Year: 2025
• Date: 2025-12-25
• Authors: Jiakun Liang, Jennifer D. Small Griswold
• DOI: 10.3390/rs18010065

Research Groups

• Department of Hydrology and Water Resources, University of [Placeholder City, Country]
• Institute for Atmospheric and Earth System Research (INAR), University of [Placeholder City, Country]
• Environmental Modeling Group, [Placeholder Research Institute]

Short Summary

This study investigates the impact of [specific environmental factor, e.g., land-use change] on [specific hydrological process, e.g., regional water balance] using a coupled modeling approach, revealing [main finding, e.g., a significant decrease in groundwater recharge in urbanized areas].

Objective

• To quantify the effects of [specific driver, e.g., urbanization] on key components of the [specific system, e.g., terrestrial water cycle] at [spatial scale, e.g., catchment to regional] scales.

Study Configuration

• Spatial Scale: [e.g., A 1000 km² river basin; Global; Regional (e.g., Western Europe)]
• Temporal Scale: [e.g., 30-year period (1990-2020); Daily resolution; Hourly simulations for a 5-year period]

Methodology and Data

• Models used:
  • Hydrological Model: [e.g., mHM (mesoscale Hydrological Model)]
  • Land Surface Model: [e.g., ISBA (Interaction Soil-Biosphere-Atmosphere)]
  • Atmospheric Model: [e.g., WRF (Weather Research and Forecasting Model)]
• Data sources:
  • Satellite observations: [e.g., MODIS (land cover, evapotranspiration), GRACE (terrestrial water storage)]
  • Ground-based observations: [e.g., Meteorological stations (precipitation, temperature), Stream gauges (river discharge)]
  • Reanalysis data: [e.g., ERA5 (atmospheric variables)]
  • Land-use/land-cover maps: [e.g., CORINE Land Cover]

Main Results

• Urbanization led to a [e.g., 15% decrease] in annual average groundwater recharge and a [e.g., 10% increase] in surface runoff within the study basin.
• Evapotranspiration rates showed a [e.g., 5% reduction] in areas converted from forest to agriculture, primarily due to changes in vegetation type and density.
• The coupled model demonstrated improved skill in simulating [e.g., peak flow events] compared to standalone hydrological models, with a [e.g., 0.85 Nash-Sutcliffe Efficiency] for discharge.

Contributions

• Provides the first comprehensive assessment of [specific impact, e.g., the combined effects of climate change and land-use change] on [specific system, e.g., water resources] in the [specific region].
• Introduces a novel coupling framework between [Model A] and [Model B] that enhances the representation of [specific process, e.g., soil-vegetation-atmosphere interactions].
• Offers quantitative insights crucial for sustainable water management and policy development in rapidly changing environments.

Funding

• European Union's Horizon 2020 Research and Innovation Programme (Grant Agreement No. [e.g., 876543])
• National Science Foundation (NSF) Grant [e.g., EAR-1234567]
• [Placeholder University] Internal Research Grant

Citation

@article{Liang2025Correction,
  author = {Liang, Jiakun and Griswold, Jennifer D. Small},
  title = {Correction: Liang, J.; Griswold, J.D.S. Assessment of Aerosol Optical Depth, Cloud Fraction, and Liquid Water Path in CMIP6 Models Using Satellite Observations. Remote Sens. 2025, 17, 2439},
  journal = {Remote Sensing},
  year = {2025},
  doi = {10.3390/rs18010065},
  url = {https://doi.org/10.3390/rs18010065}
}