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Comparison of radar data versus rainfall data.

Espinosa B, Hromadka TV, Perez R - MethodsX (2015)

Bottom Line: Because the subject storms were very intense rainfall events lasting approximately one hour in duration, direct comparisons between the three radar gages themselves can be made, as well as a comparison to rain gage data at a rain gage location subjected to the same storm cells.It is shown that topographic interference with the radar outcomes can be a significant factor leading to differences between radar and rain gage readings, and that care is needed in calibrating radar outcomes using available rain gage data in order to interpolate rainfall estimates between rain gages using the spatial variation observed in the radar readings.The paper establishes and describes•the need for "ground-truthing" of radar data, and•possible errors due to topographic interference.

View Article: PubMed Central - PubMed

Affiliation: Hromadka & Associates, 29809 Santa Margarita Parkway Suite 102, RSM, CA 92688, United States.

ABSTRACT
Doppler radar data are increasingly used in rainfall-runoff synthesis studies, perhaps due to radar data availability, among other factors. However, the veracity of the radar data are often a topic of concern. In this paper, three Doppler radar outcomes developed by the United States National Weather Service at three radar sites are examined and compared to actual rain gage data for two separate severe storm events in order to assess accuracy in the published radar estimates of rainfall. Because the subject storms were very intense rainfall events lasting approximately one hour in duration, direct comparisons between the three radar gages themselves can be made, as well as a comparison to rain gage data at a rain gage location subjected to the same storm cells. It is shown that topographic interference with the radar outcomes can be a significant factor leading to differences between radar and rain gage readings, and that care is needed in calibrating radar outcomes using available rain gage data in order to interpolate rainfall estimates between rain gages using the spatial variation observed in the radar readings. The paper establishes and describes•the need for "ground-truthing" of radar data, and•possible errors due to topographic interference.

No MeSH data available.


Radar station KSOX Santa Ana published rainfall estimate (storm total for storm event 9/8/14 at rain Gage 296 = 0.04 in.).
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fig0030: Radar station KSOX Santa Ana published rainfall estimate (storm total for storm event 9/8/14 at rain Gage 296 = 0.04 in.).

Mentions: Fig. 6, Fig. 7, Fig. 8 show the usual radar graphical presentations of the daily rainfall for each of the three radar stations. Again, it is noted that the estimates of the amount of rainfall which fell at the Gage 296 location varies significantly, depending on which radar station is considered. Note that based on the Storm Total for the day (midnight to midnight), as well as the Peak Hour measurements, rain Gage 296 data seem to correlate well with radar station KYUX Yuma; however, rain Gage 296 overall records higher rainfall quantities than the KYUX Yuma radar station estimates indicate.


Comparison of radar data versus rainfall data.

Espinosa B, Hromadka TV, Perez R - MethodsX (2015)

Radar station KSOX Santa Ana published rainfall estimate (storm total for storm event 9/8/14 at rain Gage 296 = 0.04 in.).
© Copyright Policy - CC BY
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4644244&req=5

fig0030: Radar station KSOX Santa Ana published rainfall estimate (storm total for storm event 9/8/14 at rain Gage 296 = 0.04 in.).
Mentions: Fig. 6, Fig. 7, Fig. 8 show the usual radar graphical presentations of the daily rainfall for each of the three radar stations. Again, it is noted that the estimates of the amount of rainfall which fell at the Gage 296 location varies significantly, depending on which radar station is considered. Note that based on the Storm Total for the day (midnight to midnight), as well as the Peak Hour measurements, rain Gage 296 data seem to correlate well with radar station KYUX Yuma; however, rain Gage 296 overall records higher rainfall quantities than the KYUX Yuma radar station estimates indicate.

Bottom Line: Because the subject storms were very intense rainfall events lasting approximately one hour in duration, direct comparisons between the three radar gages themselves can be made, as well as a comparison to rain gage data at a rain gage location subjected to the same storm cells.It is shown that topographic interference with the radar outcomes can be a significant factor leading to differences between radar and rain gage readings, and that care is needed in calibrating radar outcomes using available rain gage data in order to interpolate rainfall estimates between rain gages using the spatial variation observed in the radar readings.The paper establishes and describes•the need for "ground-truthing" of radar data, and•possible errors due to topographic interference.

View Article: PubMed Central - PubMed

Affiliation: Hromadka & Associates, 29809 Santa Margarita Parkway Suite 102, RSM, CA 92688, United States.

ABSTRACT
Doppler radar data are increasingly used in rainfall-runoff synthesis studies, perhaps due to radar data availability, among other factors. However, the veracity of the radar data are often a topic of concern. In this paper, three Doppler radar outcomes developed by the United States National Weather Service at three radar sites are examined and compared to actual rain gage data for two separate severe storm events in order to assess accuracy in the published radar estimates of rainfall. Because the subject storms were very intense rainfall events lasting approximately one hour in duration, direct comparisons between the three radar gages themselves can be made, as well as a comparison to rain gage data at a rain gage location subjected to the same storm cells. It is shown that topographic interference with the radar outcomes can be a significant factor leading to differences between radar and rain gage readings, and that care is needed in calibrating radar outcomes using available rain gage data in order to interpolate rainfall estimates between rain gages using the spatial variation observed in the radar readings. The paper establishes and describes•the need for "ground-truthing" of radar data, and•possible errors due to topographic interference.

No MeSH data available.