Asset Details
Do you wish to reserve the book?
Applicability of Ensemble Singular Vectors to a Mesoscale Convective System Over the East China Sea
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Applicability of Ensemble Singular Vectors to a Mesoscale Convective System Over the East China Sea
Do you wish to request the book?
Applicability of Ensemble Singular Vectors to a Mesoscale Convective System Over the East China Sea
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Applicability of Ensemble Singular Vectors to a Mesoscale Convective System Over the East China Sea
2025
Overview
This study investigates the effectiveness of ensemble singular vectors (EnSVs) for a mesoscale convective system over the East China Sea, a challenge due to its strong nonlinearity. Employing breeding ensembles with varying horizontal resolutions, we compare linear EnSV predictions with nonlinear perturbed forecasts. The results indicate that EnSVs consistently capture sensitivity to synoptic‐scale features across all resolutions. However, the growth rate of the EnSVs decreases with increasing resolution. While nonlinear effects become more pronounced at higher resolutions, the nonlinearly developed perturbations from initial EnSVs by full models still demonstrate significant growth in the target region. The nonlinearity is likely associated with mesoscale error growth. These findings suggest that mesoscale EnSVs are capable of identifying key growing modes, but they have limitations in fully capturing the nonlinear amplification of errors inherent in mesoscale phenomena.
Publisher
John Wiley & Sons, Inc
