| contributor author | Theodore M. McHardy | |
| contributor author | James R. Campbell | |
| contributor author | David A. Peterson | |
| contributor author | Simone Lolli | |
| contributor author | Anne Garnier | |
| contributor author | Arunas P. Kuciauskas | |
| contributor author | Melinda L. Surratt | |
| contributor author | Jared W. Marquis | |
| contributor author | Steven D. Miller | |
| contributor author | Erica K. Dolinar | |
| contributor author | Xiquan Dong | |
| date accessioned | 2023-04-12T18:53:12Z | |
| date available | 2023-04-12T18:53:12Z | |
| date copyright | 2022/09/01 | |
| date issued | 2022 | |
| identifier other | JTECH-D-21-0160.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4290418 | |
| description abstract | This study develops a new thin cirrus detection algorithm applicable to overland scenes. The methodology builds from a previously developed overwater algorithm, which makes use of the | |
| publisher | American Meteorological Society | |
| title | GOES ABI Detection of Thin Cirrus over Land | |
| type | Journal Paper | |
| journal volume | 39 | |
| journal issue | 9 | |
| journal title | Journal of Atmospheric and Oceanic Technology | |
| identifier doi | 10.1175/JTECH-D-21-0160.1 | |
| journal fristpage | 1415 | |
| journal lastpage | 1429 | |
| page | 1415–1429 | |
| tree | Journal of Atmospheric and Oceanic Technology:;2022:;volume( 039 ):;issue: 009 | |
| contenttype | Fulltext | |
