Next Article in Journal
Spatiotemporal Variations of Meteorological Droughts and the Assessments of Agricultural Drought Risk in a Typical Agricultural Province of China
Previous Article in Journal
Optical Energy Variability Induced by Speckle: The Cases of MERLIN and CHARM-F IPDA Lidar
Open AccessArticle

Developing Spatially Accurate Rainfall Predictions for the San Francisco Bay Area through Case Studies of Atmospheric River and other Synoptic Events

Meteorology and Climate Science Department, San Jose State University, San Jose, CA 95192-0104, USA
*
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(9), 541; https://doi.org/10.3390/atmos10090541
Received: 24 July 2019 / Revised: 6 September 2019 / Accepted: 10 September 2019 / Published: 12 September 2019
(This article belongs to the Section Climatology and Meteorology)
Rainfall patterns in the San Francisco Bay Area (SFBA) are highly influenced by local topography. It has been a forecasting challenge for the main US forecast models. This study investigates the ability of the Weather Research and Forecasting (WRF) model to improve upon forecasts, with particular emphasis on the rain shadow common to the southern end of the SFBA. Three rain events were evaluated: a mid-season atmospheric river (AR) event with copious rains; a typical non-AR frontal passage rain event; and an area-wide rain event in which zero rain was recorded in the southern SFBA. The results show that, with suitable choices of parameterizations, the WRF model with a resolution around 1 km can forecast the observed rainfall patterns with good accuracy, and would be suitable for operational use, especially to water and emergency managers. Additionally, the three synoptic situations were investigated for further insight into the common ingredients for either flooding rains or strong rain shadow events. View Full-Text
Keywords: WRF; rain shadow; microphysics; California WRF; rain shadow; microphysics; California
Show Figures

Figure 1

MDPI and ACS Style

Bridger, A.F.; Nguyen, D.; Chiao, S. Developing Spatially Accurate Rainfall Predictions for the San Francisco Bay Area through Case Studies of Atmospheric River and other Synoptic Events. Atmosphere 2019, 10, 541.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop