Evaluation of the CMORPH high-resolution precipitation product for hydrological applications over South Korea

Kim, Jungho; Han, Heechan

doi:10.1016/j.atmosres.2021.105650

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Evaluation of the CMORPH high-resolution precipitation product for hydrological applications over South Korea

2021
By Kim, Jungho ; Han, Heechan
Source: Atmospheric Research 258, 105650, 2021

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Journal Title:

Atmospheric Research
Personal Author:

Kim, Jungho ; Han, Heechan

Kim, Jungho ; Han, Heechan Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; PSL (Physical Sciences Laboratory) ; CIRA (Cooperative Institute for Research in the Atmosphere)

OAR (Oceanic and Atmospheric Research) ; PSL (Physical Sciences Laboratory) ; CIRA (Cooperative Institute for Research in the Atmosphere) Less -
Description:

The use of a high-resolution satellite-based precipitation product on a global-scale is attractive to hydrological applications. However, it should be systematically evaluated from various perspectives as the quality property is dependent on the geographical and topographical features of a region. This study aims to comprehensively assess the Climate Prediction Center morphing technique (CMORPH) precipitation product over South Korea. Two evaluation approaches, the general evaluation using statistical metrics and the detection evaluation (to measure skill in detecting precipitation and non-precipitation) using categorical metrics, are employed based on an 18-year long-term period of record. As a result, the CMORPH product tended to underestimate precipitation over South Korea, and the level of the underestimation varied with the seasons and regions. The overall quality was adequate for hydrological applications that require precipitation data at the annual-to-daily resolution but not at hourly resolution. Skill in detecting hourly precipitation in a storm event was 60% of the rain-gauge data, and the accuracies of total volume and peak value were 45% and 40%, respectively. The quality in the coastal regions and islands was not as good as in inland areas at low altitudes. The accuracy in a wet season was better than that in a dry/winter season. Notably, the CMORPH precipitation product was not suitable for snowfall data. Ultimately, the CMORPH product at hourly resolution needs a correction process using the local measurement systems for enhancing the quality property over South Korea.
Keywords:

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Hydrology Numerical Weather Forecasting Rain And Rainfall
Source:

Atmospheric Research 258, 105650, 2021
DOI:

https://doi.org/10.1016/j.atmosres.2021.105650
Document Type:

Journal Article
Place as Subject:

Korea (South)
Rights Information:

Accepted Manuscript
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Submitted
Main Document Checksum:

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urn:sha256:3e0253943021b5dfe02335f3766310793b38d5e83941bf8c50a9148315215cf2
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https://repository.library.noaa.gov/view/noaa/33266/noaa_33266_DS1.pdf
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Evaluation of the CMORPH high-resolution precipitation product for hydrological applications over South Korea

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