Uncertainties in Atmospheric River Lifecycles by Detection Algorithms: Climatology and Variability
نویسندگان
چکیده
Atmospheric rivers (ARs) are long and narrow filaments of vapor transport that responsible for most poleward moisture outside the tropics. Many AR detection algorithms have been developed to automatically identify ARs in climate data. The diversity these has introduced appreciable uncertainties quantitative measures properties thereby impedes construction a unified internally consistent climatology ARs. This paper compares nine global from perspective lifecycles following propagation origin termination MERRA2 reanalysis over period 1980–2017. Uncertainties lifecycle characteristics, including event number, lifetime, intensity, frequency distribution discussed. Notably, number events per year Northern Hemisphere can vary by factor 5 with different algorithms. Although all show maximum (termination) is located western (eastern) portion ocean basins, significant disagreements appear regional distribution. Spreads large lifetime intensity. landfalling produced 16 80 year, although agreement improves stronger By examining ARs' connections Madden-Julian Oscillation El Niño Southern Oscillation, we find overall responses (such as changes frequency, origin, landfall activity) variability among
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ژورنال
عنوان ژورنال: Journal Of Geophysical Research: Atmospheres
سال: 2021
ISSN: ['2169-8996', '2169-897X']
DOI: https://doi.org/10.1029/2020jd033711