Real-time adaptive observation guidance using singular vectors for Typhoon Jangmi (200815) in T-PARC 2008

Hyun Mee Kim, Sung Min Kim, Byoung Joo Jung

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

In this study, structures of real-time adaptive observation guidance provided by Yonsei University (YSU) in South Korea during The Observing System Research and Predictability Experiment (THORPEX)-Pacific Asian Regional Campaign (T-PARC) are presented and compared with those of no-lead-time adaptive observation guidance recalculated as well as other adaptive observation guidance for a tropical cyclone (Jangmi 200815). During the T-PARC period, real-time dry total energy (TE) singular vectors (SVs) based on the fifthgeneration Pennsylvania State University-National Center for Atmospheric Research Mesoscale Model (MM5) and the corresponding tangent linear and adjointmodelswith a Lanczos algorithmare provided byYSU to help determine sensitive regions for targeted observations. While YSU provided the real-time TESV guidance based on a mesoscale model, other institutes provided real-time TESV guidance based on global models. The overall features of the real-timeMM5 TESVs were similar to those generated fromglobalmodels, showing influences from tropical cyclones, midlatitude troughs, and subtropical ridges. TESV structures are very sensitive to verification region and forecast lead time. If a more accurate basic-state trajectory with no lead time is used, more accurate TESVs, which yield more accurate determinations of sensitive regions for targeted observations, may be calculated. The results of this study may imply that reducing forecast lead time is an important component to obtaining better sensitivity guidance for real-time targeted observation operations.

Original languageEnglish
Pages (from-to)634-649
Number of pages16
JournalWeather and Forecasting
Volume26
Issue number5
DOIs
Publication statusPublished - 2011 Oct

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

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