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- We currently produce climate files for each reforecast run date, so in total 8*12-1 = 95 dates in a calendar year with 1/5/9/13/17/21/25/29 of each month, excluding 29 Feb.
- For each of these climate dates, there will be climate files for each possible daily lead time of the sub-seasonal range. Here not only calendar weeks are considered, but all possible 7-day lead times, starting from days1-7, then days2-8, .., out to days 40-46 (40 possible lead times). This way, the weekly mean climatology for all possible lead times will be available, and so for each real time forecast the right climatology can be used, with the correct lead time in days, depending on which day of the week the real time forecast run (i.e. which corresponding climate lead time to choose in order to get to the calendar weeks). .
- Climate sample: For the sub-seasonal, we have 20 years of reforecast with run dates roughly twice a week. For the climate sample always 3 run dates are used, the actual climate data we generate the climate for and one reforecast date before and after. For example, when generating the climate sample for 15 December 2024, all reforecasts produced for 11, 15 and 19 December will be used in the climate sample from years 2004-2023. All ensemble members are considered independently, therefore the climate sample is with 3*20*11 = 660 reforecast values for each river pixel.
- Climate distribution: The climate percentiles are produced, from 1 to 99, where the 1st percentile will the value that is exceeded 99% of the time, while the 99th percentile will be the value the reforecasts will exceed only 1% of the time. These climate percentiles will be specific to 40 possible lead times of days1-7 to days 40-46.
EFAS/GloFAS are both handled in the same way, by the same structure and same scripts. The only differences are the source name variable in the suite and the copydis_seasonal.sms script, which has slightly different retrieval options for both EFAS/GloFAS, depending on the source variable setting. And also the slight difference is in the weekly averaging, as the steps are set according whether 24-hourly (GloFAS) or 6-hourly (EFAS) data is processed.
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