Improving the analysis and forecast of hurricane dorian (2019) with simultaneous assimilation of goes-16 all-sky infrared brightness temperatures and tail doppler radar radial velocities

Christopher M. Hartman, Xingchao Chen, Eugene E. Clothiaux, Man Yau Chan

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Recent studies have shown that the assimilation of all-sky infrared (IR) observations can be beneficial for tropical cyclone analyses and predictions. The assimilation of tail Doppler radar (TDR) radial velocity observations has also been shown to improve tropical cyclone analyses and predictions; however, there is a paucity of literature on the impacts of simultaneously assimilating them with all-sky IRbrightness temperatures (BTs). This study examines the impacts of assimilating combinations ofGOES-16 all-sky IRbrightness temperatures,NOAAP-3 TDRradial velocities, and conventional observations from the Global Telecommunications System (GTS) on the analyses and forecasts of Hurricane Dorian (2019). It is shown that including IR and/or TDR observations on top of conventional GTS observations significantly reduces both track and intensity forecast errors. Track errors are reduced the most (25%at lead times greater than 48 h) when TDR and GTS observations are assimilated. In terms of intensity, errors are always lower at lead times greater than 48 h when IR BTs are assimilated. Simultaneously assimilating TDR and IR observations has the potential to further improve the intensity forecast by as much as 37%at a lead time of 48 72 h. The improved intensity forecasts produced by the experiments assimilating all three observation sources are shown to be a result of the competing effects of IR assimilation producing an overly broad area of strong cyclonic circulation and TDR assimilation constraining that circulation to a more realistic size and intensity. Interestingly, the order in which observations are assimilated has nonnegligible impacts on the analyses and forecasts of Dorian.

Original languageEnglish (US)
Pages (from-to)2193-2212
Number of pages20
JournalMonthly Weather Review
Volume149
Issue number7
DOIs
StatePublished - Jul 2021

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

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