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DEFINING UNCERTAINTIES THROUGH COMPARISON OF ATMOSPHERIC RIVER TRACKING METHODS
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DEFINING UNCERTAINTIES THROUGH COMPARISON OF ATMOSPHERIC RIVER TRACKING METHODS
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Journal Article
DEFINING UNCERTAINTIES THROUGH COMPARISON OF ATMOSPHERIC RIVER TRACKING METHODS
2019
Overview
ARTMIP is a grassroots effort initiated by U.S. Department of Energy (DOE) and National Oceanic and Atmospheric Administration (NOAA) scientists to understand and quantify the implications of the diverse set of AR identification and tracking methods found in the literature. Understanding the uncertainties and how the choice of detection algorithm impacts quantities such as precipitation is imperative for stakeholders such as water managers, city and transportation planners, agriculture, or any industry that depends on global and regional water cycle information for the near term and into the future. The first tier of the project is aimed at understanding the impact of AR algorithm on quantitative baseline statistics and characteristics of ARs, and the second tier of the project includes sensitivity studies designed around specific science questions, such as reanalysis uncertainty and climate change. The second ARTMIP workshop provided a forum for the AR community to 1. discuss analyses of the tier 1 dataset, 2. synthesize the results and implications of the tier 1 analyses, 3. use this information to define the experimental designs for the various tier 2 experiments, 4. work toward developing a set of recommendations regarding the advantages and disadvantages of different AR algorithms for various scientific questions, and 5. discuss gaps and emerging opportunities for advancing the tracking and science of ARs.
