Abstract

Typhoon Bilis which struck Taiwan in July 2006 was chosen to assess the potential impact of GPS radio occultation (RO) refractivity soundings on numerical simulation using the WRF model. We found that this case elucidates the impact of the limited GPS RO soundings on typhoon prediction due to their favorable locations. In addition, on top of available precipitable water (PW) and near-surface wind speed from S SM/I data, we have also explored their combined impacts on model prediction. The two GPS RO soundings available from FORMOSAT-3 near the model initial time are assimilated using the nonlocal operator in WRF 3DVAR. More contributions after the assimilation are found in the moisture increments (up to -1.2 g kg^(-1)) surrounding the corresponding occultation positions to the east of the typhoon vortex and southwest of the subtropical high, with dryness occurring in the lower troposphere. The assimilation of PW induces much larger and wider moisture increments to the west of the typhoon center. The ingestion of near-surface wind speeds produces more pronounced temperature and wind increments at lower levels. The S SM/I data improve the predictions of typhoon intensity and intense rainfall over Taiwan, especially for the later simulation time, but generally have a less impact on track prediction as compared to the GPS RO data. Assimilation of the two GPS RO soundings leads to a marked improvement on the track that otherwise will be southward biased prior to landfall and also enhances the positive impact when the SSMII data have been assimilated as well. An improvement using the GPS RO data is also found for daily rainfall but only for larger thresholds at later times when the bias in track in the control experiment is remedied. In general, the combined assimilation of both GPS RO and SSM/I data has shown the most promising performances. Finally, the sensitivity tests indicate that the closer GPS RO sounding to the east of the typhoon plays a more crucial role in the positive impact on track prediction.

Highlights

  • The assimilation of satellite data would be helpful for improving numerical weather prediction since satellite data provide observations over data-poor regions such as open oceans

  • The Sensor Microwave/ Imager (SSM/I) data can retrieve the total amount of the integrated moisture (i.e., precipitable water (PW)) but not a vertical profile which can be retrieved at a resolution of about 200 m from Global Positioning System (GPS) radio occultation (RO) measurements

  • We found that the major rainfalls over northeast Taiwan in the second day are better simulated by the control experiment than the experiment excess phase (EPH)

Read more

Summary

Introduction

The assimilation of satellite data would be helpful for improving numerical weather prediction since satellite data provide observations over data-poor regions such as open oceans. Chen et al (2004) assessed the impact of SSM/I data on hurricane simulations and showed that the simulated storm’s intensity was greatly improved due to the modification of the moisture content in the atmosphere and the increase of the low-level cyclonic circulation. Both GPS and SSM/I provide valuable observations over the ocean, and both are complementary to each other. Due to the fact that the GPS RO data can not provide wind information, it is meaningful to explore the impact of the SSM/I-retrieved near-surface wind speed on severe weather prediction

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call