Visualization 1 | Percent Bias Between Observation Data & WRF Model Output 

This visualization shows the percent bias between a station’s observation record and the Weather Regional Forecasting (WRF) model hindcast across the historical period. This data can be used to assess how well WRF is able to model precipitation spatially and temporally across the region. Percent bias data is presented for 16 different metrics of interest. The annual sum of precipitation, monthly sums, and three extreme metrics which represent the top 1% of annual 24-, 48-, and 72-hour events. 

 

Visualization 2 | Observation Data from Stations in Washington and Oregon 

This Tableau Visualization enables users to explore observational data for 16 different metrics of interest. The annual sum of precipitation, monthly sums, and three extreme metrics which represent the top 1% of annual 24-, 48-, and 72-hour events.