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June 13, 20260 citationsOpen Access

Rainy Days Ahead? An Analysis of the Hydroclimatology in the Albemarle-Pamlico Region of North Carolina

PSPaige Strecker

Key Points

  • To identify climate teleconnections influencing precipitation variability in Northeast North Carolina and document its spatial distribution.
  • Analyzed historical precipitation data from 1981 to 2024
  • Identified correlations with the Bermuda High Index and El Niño-Southern Oscillation
  • Conducted spatial and temporal analyses of seasonal precipitation patterns.
  • Bermuda High Index and El Niño-Southern Oscillation significantly influence seasonal precipitation variability
  • Fall and summer have the highest frequency and severity of dry and wet spells
  • Findings support sustainable water management and climate mitigation planning.

Abstract

Northeast North Carolina is a region rich in agriculture, close-knit communities, and thriving wildlife. However, in terms of weather and climate, it is critically understudied. Understanding precipitation patterns within a specific region is important for decision making, especially in the agricultural and water resource management industries. Additionally, this region experiences saltwater intrusion, causing the rivers used for irrigation to become brackish. By identifying the seasonal patterns in precipitation, growers and agricultural consultants can better predict when a heavy rain event may occur to help flush out salts. Various modes of climate variability have been investigated in previous literature to understand what is driving the precipitation patterns in the greater southeastern United States, but what about Northeast North Carolina specifically?   This study aimed to identify the teleconnection(s) with the strongest correlation to precipitation variability as well as document how that variability is distributed spatially across the region. The results of this study found that the Bermuda High Index and the El Niño-Southern Oscillation contributed the most to seasonal precipitation variability from 1981 to 2024. Additionally, this project identified the wet and dry spells that are experienced in the region seasonally. This analysis showed that the fall and summer exhibited the greatest frequency and severity of dry and wet spells, respectively. Spatial and temporal analyses aided in the identification of when, where, and how much it rains in the region. The results of this study provide useful information to support sustainable water usage and guide the development of climate mitigation plans.

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Cite This Study

Paige Strecker (2026) studied this question.

synapsesocial.com/papers/6a2cf6d7faef96ed7f05881chttps://doi.org/10.17615/y271-vs22
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