We did the following modifications to the treatment of missing data in DailyRDAHMM:
1. For the input data, if the dates used for getting the input is 1994-01-01 to 2006-09-30, and we only get data for 1995-10-03 to 2006-8-22, then we will only fill those time sections between 1995-10-03 and 2006-8-22, and leave the gaps before and after as they are, in order to avoid the distortion to results;
2. For the big flat file that contains input for all stations, we use NaNs to fill all missing lines.
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