Is your feature request related to a problem? Please describe.
So far, the AtmoRep data reader does not support consistent processing of forecast data, since all data is stacked along a time-dimension. Thus, when the lead time of the forecast application is larger than the temporal gap between two initial times using AtmoRep forecast or global_forecast evaluation model, data will be overwritten when iterating through the samples of the zarr output.
Describe the solution you'd like
Separate time-dimension into initial_time and lead_time dimension for forecasting applications.
Describe alternatives you've considered
N/A
Additional context
N/A
Is your feature request related to a problem? Please describe.
So far, the AtmoRep data reader does not support consistent processing of forecast data, since all data is stacked along a time-dimension. Thus, when the lead time of the forecast application is larger than the temporal gap between two initial times using AtmoRep
forecastorglobal_forecastevaluation model, data will be overwritten when iterating through the samples of the zarr output.Describe the solution you'd like
Separate
time-dimension intoinitial_timeandlead_timedimension for forecasting applications.Describe alternatives you've considered
N/A
Additional context
N/A