Long-term multi-source precipitation estimation with high resolution (RainGRS Clim)
<p>This paper explores the possibility of using multi-source precipitation estimates for climatological applications. A data-processing algorithm (RainGRS Clim) has been developed to work on precipitation accumulations such as daily or monthly totals, which are significantly longer than operat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2023-09-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://amt.copernicus.org/articles/16/4067/2023/amt-16-4067-2023.pdf |
| Summary: | <p>This paper explores the possibility of using multi-source
precipitation estimates for climatological applications. A data-processing
algorithm (RainGRS Clim) has been developed to work on precipitation
accumulations such as daily or monthly totals, which are significantly
longer than operational accumulations (generally between 5 min and 1 h). The
algorithm makes the most of additional opportunities, such as the
possibility of complementing data with delayed data, access to high-quality data
that are not operationally available, and the greater efficiency of the
algorithms for data quality control and merging with longer accumulations.
Verification of the developed algorithms was carried out using monthly
accumulations through comparison with precipitation from manual rain gauges.
As a result, monthly accumulations estimated by RainGRS Clim were found to
be significantly more reliable than accumulations generated operationally.
This improvement is particularly noticeable for the winter months, when
precipitation estimation is much more difficult due to less reliable radar
estimates.</p> |
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| ISSN: | 1867-1381 1867-8548 |