The Noncontiguous Rain-Gauge Method: A Working Guide to Verifying Satellite Rainfall Estimates from Sparse Point Gauges

This technical monograph presents the Noncontiguous Rain-Gauge Method (NCR) for constructing a gauge-derived areal rainfall reference distribution from sparse point rain gauges. The method addresses the support mismatch between point gauges and satellite areal rainfall estimates by combining spatial-correlation modeling, point-to-area variance conversion, Gaussian-score transformation, Hermite representation of skewed rainfall distributions, and a finite-bin correction for satellite-predictor classes. The guide develops the statistical argument, gives reproducible synthetic examples, and presents a tropical Pacific case study modeled on Micronesian gauge geometry. The intended audience is satellite-rainfall researchers, hydrologists, meteorologists, climate-data analysts, and graduate students working on environmental verification problems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-27
DOI
https://doi.org/10.5281/zenodo.20946383
Primary Topic
Precipitation Measurement and Analysis
Type
article
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article

The Noncontiguous Rain-Gauge Method: A Working Guide to Verifying Satellite Rainfall Estimates from Sparse Point Gauges

Mark L. Morrissey
Zenodo (CERN European Organization for Nuclear Research)
Precipitation Measurement and Analysis
article

The Noncontiguous Rain-Gauge Method: A Working Guide to Verifying Satellite Rainfall Estimates from Sparse Point Gauges

Mark L. Morrissey
article en

Abstract

This technical monograph presents the Noncontiguous Rain-Gauge Method (NCR) for constructing a gauge-derived areal rainfall reference distribution from sparse point rain gauges. The method addresses the support mismatch between point gauges and satellite areal rainfall estimates by combining spatial-correlation modeling, point-to-area variance conversion, Gaussian-score transformation, Hermite representation of skewed rainfall distributions, and a finite-bin correction for satellite-predictor classes. The guide develops the statistical argument, gives reproducible synthetic examples, and presents a tropical Pacific case study modeled on Micronesian gauge geometry. The intended audience is satellite-rainfall researchers, hydrologists, meteorologists, climate-data analysts, and graduate students working on environmental verification problems.

Zenodo (CERN European Organization for Nuclear Research)
University of Oklahoma (US)
Climate action
Openalex Percentile: Top 7%
Precipitation Measurement and Analysis
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The Noncontiguous Rain-Gauge Method: A Working Guide to Verifying Satellite Rainfall Estimates from Sparse Point Gauges — Mark L. Morrissey · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS