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Temporal Disaggregation (Monthly river discharge measurements to Daily using a daily precipitation indicator) #48
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I decided to load all the data. |
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Greetings,
Thank you very much for your incredible work at "tempdisagg".
I want to disaggregate a time series of monthly river discharge measurements to a synthetic time series of daily discharges by relating them to a daily precipitation time series, which has been extracted from ERA5-land netCDF data (https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=overview).
The daily precipitation when aggregated to its monthly time step, seems to correlate strongly with the monthly time step of the river discharge measurements under disaggregation (Pearson coefficient =0.7).
When I use the "tempdisagg" package and the default (and recommended) method of chow-lin-maxlog, with truncated.rho = 0 (default), the created high frequency time series follows very well the variability of the daily precipitation but occasionally, when there is small amount or no precipitation, it produces negative value of discharge. I would also like to mention that I use as conversion method the "mean".
I would like to ask if it is possible to impose a lower, non negative, bound to the created synthetic daily discharge time series, which will prevent the package from creating negative river discharge values. That is something that also has physical meaning because we have measures of the low summer flows, which can be set as the lower bound of the disaggregated discharge time series.
I will prepare a reproducible example from my data to present you the context of my issue.
Thank you in advance
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