Long-term multi-source precipitation estimation with high resolution (RainGRS Clim)
Anna Jurczyk,Katarzyna Ośródka,Jan Szturc,Magdalena Pasierb,and Agnieszka Kurcz
Anna Jurczyk
Centre of Meteorological Modelling, Institute of Meteorology and
Water Management – National Research Institute, ul. Podleśna 61, 01-673
Warsaw, Poland
Katarzyna Ośródka
Centre of Meteorological Modelling, Institute of Meteorology and
Water Management – National Research Institute, ul. Podleśna 61, 01-673
Warsaw, Poland
Centre of Meteorological Modelling, Institute of Meteorology and
Water Management – National Research Institute, ul. Podleśna 61, 01-673
Warsaw, Poland
Centre of Meteorological Modelling, Institute of Meteorology and
Water Management – National Research Institute, ul. Podleśna 61, 01-673
Warsaw, Poland
Agnieszka Kurcz
Centre of Meteorological Modelling, Institute of Meteorology and
Water Management – National Research Institute, ul. Podleśna 61, 01-673
Warsaw, Poland
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Total article views: 2,094 (including HTML, PDF, and XML)
Thereof 2,069 with geography defined
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Total article views: 1,269 (including HTML, PDF, and XML)
Thereof 1,259 with geography defined
and 10 with unknown origin.
Total article views: 825 (including HTML, PDF, and XML)
Thereof 810 with geography defined
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A data-processing algorithm, RainGRS Clim, has been developed to work on precipitation accumulations such as daily or monthly totals. The algorithm makes the most of additional opportunities: access to high-quality data that are not operationally available and greater efficiency of the algorithms for data quality control and merging for longer accumulations. Monthly accumulations estimated by RainGRS Clim were found to be significantly more reliable than accumulations generated operationally.
A data-processing algorithm, RainGRS Clim, has been developed to work on precipitation...
