Northeast US Extreme Precipitation Trends from GFDL SPEAR_HI Climate Model

Zenodo repository for a study analyzing synoptic-scale contributions to extreme precipitation trends over the Northeast United States using 25-km GFDL SPEAR_HI high-resolution climate model simulations. The dataset is associated with research by Bor‐Ting Jong of Princeton University and collaborators, with a related publication in Npj Climate and Atmospheric Science in 2023. The underlying SPEAR modeling system is documented in the Journal of Advances in Modeling Earth Systems.

Use Cases

• Analyzing trends in extreme precipitation events over the Northeast U.S. based on the high-resolution model simulations described.
• Validating climate model performance for synoptic-scale weather patterns contributing to heavy rainfall.
• Studying the projected changes in regional hydroclimate under future scenarios using the SPEAR_HI framework.

Strengths

• Data is associated with peer-reviewed research published in Npj Climate and Atmospheric Science (2023).
• Uses the GFDL SPEAR modeling system, a next-generation framework documented in the scientific literature.
• Focuses on high-resolution (25-km) simulations, which likely provide finer spatial detail for regional analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and specific file formats are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Princeton University / NOAA GFDL (Geophysical Fluid Dynamics Laboratory)

Collection Method

Output from 25-km GFDL SPEAR_HI high-resolution climate model simulations.

Geography

Northeast United States