Automated and Objective Thunderstorm Identification and Tracking Using Geostationary Lightning Mapper (GLM) DataSource: Journal of Applied Meteorology and Climatology:;2024:;volume( 063 ):;issue: 001::page 47Author:Murphy, Kelley M.
,
Carey, Lawrence D.
,
Schultz, Christopher J.
,
Curtis, Nathan
,
Calhoun, Kristin M.
DOI: 10.1175/JAMC-D-22-0143.1Publisher: American Meteorological Society
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| contributor author | Murphy, Kelley M. | |
| contributor author | Carey, Lawrence D. | |
| contributor author | Schultz, Christopher J. | |
| contributor author | Curtis, Nathan | |
| contributor author | Calhoun, Kristin M. | |
| date accessioned | 2024-12-24T14:19:02Z | |
| date available | 2024-12-24T14:19:02Z | |
| date copyright | 01 Jan. 2024 | |
| date issued | 2024 | |
| identifier other | apme-JAMC-D-22-0143.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4300531 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Automated and Objective Thunderstorm Identification and Tracking Using Geostationary Lightning Mapper (GLM) Data | |
| type | Journal Paper | |
| journal volume | 63 | |
| journal issue | 1 | |
| journal title | Journal of Applied Meteorology and Climatology | |
| identifier doi | 10.1175/JAMC-D-22-0143.1 | |
| journal fristpage | 47 | |
| journal lastpage | 64 | |
| tree | Journal of Applied Meteorology and Climatology:;2024:;volume( 063 ):;issue: 001 | |
| contenttype | Fulltext |