Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Minki Choo"'
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTGeostationary satellites are valuable tools for monitoring the entire lifetime of tropical cyclones (TCs). Although the most widely used method for TC intensity estimation is manual, several automatic methods, particularly artificial intellig
Externí odkaz:
https://doaj.org/article/f705ba3d5bb94acaaf7790cbd2db08e9
Publikováno v:
GIScience & Remote Sensing, Vol 60, Iss 1 (2023)
Skillful quantitative precipitation nowcasting (QPN) is important for predicting precipitation in the upcoming few hours and thus avoiding significant socioeconomic damage. Recent QPN studies have actively adopted deep learning (DL) to generate preci
Externí odkaz:
https://doaj.org/article/775385eaca724f60aef20f97a6005b89
Quantitative precipitation nowcasting (QPN) is crucial for forecasting precipitation within the next several hours (generally up to 6) to prevent substantial socioeconomic damage. In general, ground radar data has been widely employed in QPN due to i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb34aa2abdb10064e88da0151ae01cbb
https://doi.org/10.5194/egusphere-egu23-13644
https://doi.org/10.5194/egusphere-egu23-13644
Publikováno v:
Asian Society for Precision Engineering and Nanotechnology (ASPEN 2022).
Publikováno v:
Asian Society for Precision Engineering and Nanotechnology (ASPEN 2022).