This paper analyses the impact of meteorological conditions on the ridership of bike sharing (u-Bike) trips in Taipei city, Taiwan. Utilizing daily ridership data, literature has shown that adverse weather conditions have a negative impact on bike ridership and in turn, result in revenue loss for the bike sharing agencies. This paper extends this discussion by using more detailed hourly ridership data to model the weather effects. For this purpose, the daily and hourly ridership of bike sharing system from Taipei City Government for the years 2014–2015 is utilized. The paper compares the weather impacts on ridership based on day of week and time of day combinations and further demonstrates that the weather’s impact on bike sharing ridership varies based on the time period and location. The separation of ridership models based on time of day provides a deeper understanding of the relationship between trip purpose and weather for transit riders. The paper investigates the role of station characteristics such as weather protection, accessibility, proximity and the connecting transit services by developing models based on station types. The findings indicate substantial differences in the extent to which the daily and hourly models and the individual weather elements are able to explain the ridership variability and travel behavior of bike sharing riders. By utilizing the time of day and station based models, the paper demonstrates the potential sources of weather impact on bike sharing infrastructure, bike sharing service and journey characteristics. The results suggest the development of specific policy measures which can help the bike sharing agencies to mitigate the ridership differences due to adverse weather conditions.