Closed rogerlew closed 6 years ago
@marianadobre I did a couple analyses to try to get to the bottom of the climates. The first found all the climate stations around lake tahoe and compared the station monthly precipitations to daymet and prism. It looks like prism is closer to the stations and daymet is slightly wetter.
Then I generated climate files with cligen for 26 years (to match the length of daymet) and compared precipitation intensities at the 90th, 95th, and 99th percentile events. Daymet has slightly more intense precipitation.
Lastly, I compared the observed climate files we have for lake tahoe to observed daymet climates. Daymet is slightly wetter and has fewer wet days in each month.
I'm not exactly sure what that means for our model fits???, but should we proceed in changing the daymet observed climates to match the PRISM monthlies? That will lower the total precip, which might not help since we are underpredicting streamflow.
I'll work on getting the observed data into the LT interfaces...
The observed daily climates have been added to lt and lt-fire. On both interfaces they can be ran in single or multiple. The multiple spatial mode uses the PRISM revision.
define observed climate files and future climate files in implementation config
if those are populated show option Climate Method for observed and future climate with selection to choose station (daily only) and hide the station selection
for observed daymet and observed station have a Modify Timeseries based on PRISM option