A Simple Statistical Model of the Uncertainty Distribution for Daily Gridded Precipitation Multi-Platform Satellite Products

Multi-platform satellite-based precipitation gridded estimates are becoming widely available in support of climate monitoring and climate science. The characterization of the performances of these emerging Level-4 products is an active field of research. This study introduced a simple Gaussian mixtu...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2022-08, Vol.14 (15), p.3726
Main Authors: Oliveira, Rômulo A. J., Roca, Rémy
Format: Article
Language:English
Subjects:
Algorithms
Climate monitoring
Climate science
Environmental Sciences
error model
Estimates
Gauges
Gaussian mixtures
Mathematical models
Precipitation
Probabilistic models
Rain
Rain gauges
satellite
Satellite constellations
Satellites
Statistical models
Time series
Uncertainty
uncertainty analysis
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Summary:Multi-platform satellite-based precipitation gridded estimates are becoming widely available in support of climate monitoring and climate science. The characterization of the performances of these emerging Level-4 products is an active field of research. This study introduced a simple Gaussian mixture model (GMM) to characterize the distribution of uncertainty in these satellite products. The following three types of uncertainty were analyzed: constellation changes-induced uncertainties, sampling uncertainties and comparison with rain-gauges. The GMM was systematically compared with a single Gaussian approach and shown to perform well for the variety of uncertainties under consideration regardless of the precipitation levels. Additionally, GMM has also been demonstrated to be effective in evaluating the impact of Level-2 PMW rain estimates’ detection threshold definition on the constellation changes-induced uncertainty characteristics at Level-4. This simple additive perspective opens future avenues for better understanding error propagation from Level-2 to Level-4.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14153726