Evaluation of Operational and Experimental Precipitation Algorithms and Microphysical Insights during IPHExSource: Journal of Hydrometeorology:;2017:;volume 019:;issue 001::page 113Author:Erlingis, Jessica M.
,
Gourley, Jonathan J.
,
Kirstetter, Pierre-Emmanuel
,
Anagnostou, Emmanouil N.
,
Kalogiros, John
,
Anagnostou, Marios N.
,
Petersen, Walt
DOI: 10.1175/JHM-D-17-0080.1Publisher: American Meteorological Society
Abstract: AbstractDuring May and June 2014, NOAA X-Pol (NOXP), the National Severe Storms Laboratory?s dual-polarized X-band mobile radar, was deployed to the Pigeon River basin in the Great Smoky Mountains of North Carolina as part of the NASA Integrated Precipitation and Hydrology Experiment. Rain gauges and disdrometers were positioned within the basin to verify precipitation estimates from various radar and satellite precipitation algorithms. First, the performance of the Self-Consistent Optimal Parameterization?Microphysics Estimation (SCOP-ME) algorithm for NOXP was examined using ground instrumentation as validation and was found to perform similarly to or slightly outperform other precipitation algorithms over the course of the intensive observation period (IOP). Radar data were also used to examine ridge?valley differences in radar and microphysical parameters for a case of stratiform precipitation passing over the mountains. Inferred coalescence microphysical processes were found to dominate within the upslope region, while a combination of processes were present as the system propagated over the valley. This suggests that enhanced updrafts aided by orographic lift sustain convection over the upslope regions, leading to larger median drop diameters.
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| contributor author | Erlingis, Jessica M. | |
| contributor author | Gourley, Jonathan J. | |
| contributor author | Kirstetter, Pierre-Emmanuel | |
| contributor author | Anagnostou, Emmanouil N. | |
| contributor author | Kalogiros, John | |
| contributor author | Anagnostou, Marios N. | |
| contributor author | Petersen, Walt | |
| date accessioned | 2019-09-19T10:01:43Z | |
| date available | 2019-09-19T10:01:43Z | |
| date copyright | 11/7/2017 12:00:00 AM | |
| date issued | 2017 | |
| identifier other | jhm-d-17-0080.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4260750 | |
| description abstract | AbstractDuring May and June 2014, NOAA X-Pol (NOXP), the National Severe Storms Laboratory?s dual-polarized X-band mobile radar, was deployed to the Pigeon River basin in the Great Smoky Mountains of North Carolina as part of the NASA Integrated Precipitation and Hydrology Experiment. Rain gauges and disdrometers were positioned within the basin to verify precipitation estimates from various radar and satellite precipitation algorithms. First, the performance of the Self-Consistent Optimal Parameterization?Microphysics Estimation (SCOP-ME) algorithm for NOXP was examined using ground instrumentation as validation and was found to perform similarly to or slightly outperform other precipitation algorithms over the course of the intensive observation period (IOP). Radar data were also used to examine ridge?valley differences in radar and microphysical parameters for a case of stratiform precipitation passing over the mountains. Inferred coalescence microphysical processes were found to dominate within the upslope region, while a combination of processes were present as the system propagated over the valley. This suggests that enhanced updrafts aided by orographic lift sustain convection over the upslope regions, leading to larger median drop diameters. | |
| publisher | American Meteorological Society | |
| title | Evaluation of Operational and Experimental Precipitation Algorithms and Microphysical Insights during IPHEx | |
| type | Journal Paper | |
| journal volume | 19 | |
| journal issue | 1 | |
| journal title | Journal of Hydrometeorology | |
| identifier doi | 10.1175/JHM-D-17-0080.1 | |
| journal fristpage | 113 | |
| journal lastpage | 125 | |
| tree | Journal of Hydrometeorology:;2017:;volume 019:;issue 001 | |
| contenttype | Fulltext |