ArticleNPJ climate and atmospheric science2026
Tropopause-aware IVT and IWV sharpen atmospheric river detection over North America.
Article in NPJ climate and atmospheric science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atmospheric rivers are among the most consequential moisture-transport systems shaping flood risk, hydroclimatic extremes, and water cycles across North America. Standard IVT/IWV threshold methods, however, fail to capture slender ARs or accurately gauge intensity due to neglected upper-tropospheric thermodynamics. Here, using ERA5 reanalysis (1984-2024), we modified IVT and IWV by incorporating a tropopause-aware thermodynamic weighting function calibrated with radiosonde profiles. Validation against radiosondes and SSMIS imagery confirms that the modified indices improve AR intensity and geometry estimation by 8.7% and narrow-filament detection by 12%. Four-decade seasonal trends reveal robust AR increases in spring, summer, and winter over eastern North America, and in winter and summer over the west. Furthermore, the modified IVT and IWV better revealed the dominant role of remote drivers in North American AR activity. Accordingly, stepwise regression findings showed that ENSO, PNA, PDO, and NAO explain more than 45% of regional AR variance. These findings emphasize the urgent need to embed upper-tropospheric thermodynamics in AR detection and their precise spatiotemporal activity for improved flood forecasting and climate projection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.