Is there an existing issue for this?
Describe the question
I'll start by saying I'm not an expert in applying SPEI, so my question might seem naive, but:
I’m wondering if it would be meaningful to add an option to fit the SPEI distribution once over a fixed calibration period (e.g., 1981–2010), and then apply the fitted parameters to all time steps in the series (or across multiple scenarios).
Unless I'm mistaken this is a use case in climate change studies, where we want to compare future projections (e.g., different SSPs) relative to a consistent historical baseline. It's also an option in climate-indices (calibration_start_year, calibration_end_year).
If I understand this correctly, the fit_window parameter enables a moving calibration window, which is great for non-stationary real-time monitoring — but makes direct comparisons across time or scenarios more difficult? :
Thanks again!
Is there an existing issue for this?
Describe the question
I'll start by saying I'm not an expert in applying SPEI, so my question might seem naive, but:
I’m wondering if it would be meaningful to add an option to fit the SPEI distribution once over a fixed calibration period (e.g., 1981–2010), and then apply the fitted parameters to all time steps in the series (or across multiple scenarios).
Unless I'm mistaken this is a use case in climate change studies, where we want to compare future projections (e.g., different SSPs) relative to a consistent historical baseline. It's also an option in climate-indices (
calibration_start_year,calibration_end_year).If I understand this correctly, the
fit_windowparameter enables a moving calibration window, which is great for non-stationary real-time monitoring — but makes direct comparisons across time or scenarios more difficult? :Thanks again!