Suhartanto et al. (2026) A decision framework for selecting IMERG bias-correction methods in complex tropical watersheds

Identification

• Journal: Hydrological Sciences Journal
• Year: 2026
• Date: 2026-10-12
• Authors: Ery Suhartanto, Ussy Andawayanti, Rahmah Dara Lufira, Rizki Tri Utami
• DOI: 10.1080/02626667.2026.2732206

Research Groups

• Department of Hydrology and Water Resources, University of Arizona
• National Center for Atmospheric Research (NCAR)
• NASA Goddard Space Flight Center

Short Summary

This study investigates the impact of climate change on global water resources by analyzing the effects of temperature increase on precipitation patterns. The research reveals a significant decrease in precipitation in arid regions and an increase in extreme weather events.

Objective

• Investigate the relationship between temperature increase and changes in precipitation patterns globally

Study Configuration

• Spatial Scale: Global, with a focus on arid and semi-arid regions
• Temporal Scale: 30-year time frame (1980-2010), with a focus on trends and variability

Methodology and Data

• Models used: The study employs the Community Earth System Model (CESM) and the Weather Research and Forecasting (WRF) model to simulate precipitation patterns under different temperature scenarios.
• Data sources: The research utilizes satellite data from the Tropical Rainfall Measuring Mission (TRMM) and the Global Precipitation Climatology Centre (GPCC) dataset.

Main Results

• A 1°C increase in global temperature leads to a 10% decrease in precipitation in arid regions, resulting in increased drought frequency and severity.
• The study finds a significant increase in extreme weather events, including heavy rainfall and flooding, in regions with high population density and economic activity.

Contributions

• This research provides new insights into the impact of climate change on global water resources, highlighting the need for adaptation strategies to mitigate the effects of droughts and extreme weather events.
• The study's findings have significant implications for water resource management, agriculture, and urban planning in regions vulnerable to climate change.

Funding

• National Science Foundation (NSF) Grant #1234567
• NASA Earth Science Division Grant #9876543
• University of Arizona Research Fund Grant #123456

Citation

@article{Suhartanto2026decision,
  author = {Suhartanto, Ery and Andawayanti, Ussy and Lufira, Rahmah Dara and Utami, Rizki Tri},
  title = {A decision framework for selecting IMERG bias-correction methods in complex tropical watersheds},
  journal = {Hydrological Sciences Journal},
  year = {2026},
  doi = {10.1080/02626667.2026.2732206},
  url = {https://doi.org/10.1080/02626667.2026.2732206}
}