| contributor author | Muñoz, Josué | |
| contributor author | Muñoz, Paul | |
| contributor author | Muñoz, David F. | |
| contributor author | Célleri, Rolando | |
| date accessioned | 2026-08-20T11:06:24Z | |
| date available | 2026-08-20T11:06:24Z | |
| date copyright | 2025/08/30 | |
| date issued | 2025 | |
| identifier other | JHYEFF.HEENG-6543.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311700 | |
| description abstract | AbstractAccurate representation of spatiotemporal precipitation patterns is essential for
developing hydrological applications, particularly in operational hydrology and early
warning systems. In regions with scarce in situ precipitation data, freely ...Practical ApplicationsUnderstanding precipitation patterns is crucial for managing water resources, predicting
floods, and mitigating drought impacts. However, in many regions, reliable ground-based
precipitation data are limited, making it difficult to ... | |
| publisher | American Society of Civil Engineers | |
| title | Reducing Latency in Satellite-Based Precipitation Estimates Using GOES-16 and Machine Learning | |
| type | Journal Article | |
| journal volume | 30 | |
| journal issue | 6 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/JHYEFF.HEENG-6543 | |
| journal fristpage | 04025036-1 | |
| journal lastpage | 04025036-13 | |
| page | 13 | |
| tree | Journal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 006 | |
| contenttype | Fulltext | |