Matches in SemOpenAlex for { <https://semopenalex.org/work/W4324133342> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W4324133342 abstract "Abstract Fast and accurate prediction of lightning occurrence is important for protecting human health and global environment. The machine learning (ML)-based model has advantages in computation efficiency; however it suffers low accuracy due to insufficient depiction of complex lightning mechanisms and poor training dataset. To address such limitations, here we propose a novel ML-based lightning nowcast model (LightGBM) by incorporating aerosol feature to better capture the lightning mechanisms, together with the aid of enriched satellite observations from Geostationary Lightning Mapper (GLM). The well-trained LightGBM model has successfully predicted spatially continuous (0.25° by 0.25°) and hourly level lightning occurrence over summertime Contiguous United Stated (CONUS) with improved performance (accuracy = 94.3%, POD = 75.0%, FAR = 38.1%, PRC-AUC = 0.727) from competitive baselines (POD < 60%, FAR > 40%). Besides enriched dataset, such improved performance is also associated with the inclusion of aerosol feature (with > 10% enhancement on correct rejection rate when demand for POD exceeds 75%) which is proven to be essential for predicting lightning but overlooked in previous studies. Furthermore, the model reveals the contribution of aerosol composition and loading to the formation of lightning, suggesting high loading of aerosols compositing of sulfate and organic compounds tend to enhance the lightning while black carbon inhibits it. These findings are consistent with the current scientific knowledge and demonstrate the great potentials to explore the complex mechanisms of lightning associated with aerosols." @default.
- W4324133342 created "2023-03-15" @default.
- W4324133342 creator A5023207999 @default.
- W4324133342 creator A5065338783 @default.
- W4324133342 creator A5074341701 @default.
- W4324133342 date "2023-03-14" @default.
- W4324133342 modified "2023-10-14" @default.
- W4324133342 title "Lightning nowcasting with aerosol-informed machine learning and satellite-enriched dataset" @default.
- W4324133342 doi "https://doi.org/10.21203/rs.3.rs-2616886/v1" @default.
- W4324133342 hasPublicationYear "2023" @default.
- W4324133342 type Work @default.
- W4324133342 citedByCount "0" @default.
- W4324133342 crossrefType "posted-content" @default.
- W4324133342 hasAuthorship W4324133342A5023207999 @default.
- W4324133342 hasAuthorship W4324133342A5065338783 @default.
- W4324133342 hasAuthorship W4324133342A5074341701 @default.
- W4324133342 hasBestOaLocation W43241333421 @default.
- W4324133342 hasConcept C121332964 @default.
- W4324133342 hasConcept C127313418 @default.
- W4324133342 hasConcept C138885662 @default.
- W4324133342 hasConcept C153294291 @default.
- W4324133342 hasConcept C163258240 @default.
- W4324133342 hasConcept C182236062 @default.
- W4324133342 hasConcept C205649164 @default.
- W4324133342 hasConcept C2776401178 @default.
- W4324133342 hasConcept C2779345167 @default.
- W4324133342 hasConcept C2781013037 @default.
- W4324133342 hasConcept C39432304 @default.
- W4324133342 hasConcept C41008148 @default.
- W4324133342 hasConcept C41895202 @default.
- W4324133342 hasConcept C62520636 @default.
- W4324133342 hasConcept C62649853 @default.
- W4324133342 hasConcept C69398868 @default.
- W4324133342 hasConcept C80316258 @default.
- W4324133342 hasConceptScore W4324133342C121332964 @default.
- W4324133342 hasConceptScore W4324133342C127313418 @default.
- W4324133342 hasConceptScore W4324133342C138885662 @default.
- W4324133342 hasConceptScore W4324133342C153294291 @default.
- W4324133342 hasConceptScore W4324133342C163258240 @default.
- W4324133342 hasConceptScore W4324133342C182236062 @default.
- W4324133342 hasConceptScore W4324133342C205649164 @default.
- W4324133342 hasConceptScore W4324133342C2776401178 @default.
- W4324133342 hasConceptScore W4324133342C2779345167 @default.
- W4324133342 hasConceptScore W4324133342C2781013037 @default.
- W4324133342 hasConceptScore W4324133342C39432304 @default.
- W4324133342 hasConceptScore W4324133342C41008148 @default.
- W4324133342 hasConceptScore W4324133342C41895202 @default.
- W4324133342 hasConceptScore W4324133342C62520636 @default.
- W4324133342 hasConceptScore W4324133342C62649853 @default.
- W4324133342 hasConceptScore W4324133342C69398868 @default.
- W4324133342 hasConceptScore W4324133342C80316258 @default.
- W4324133342 hasLocation W43241333421 @default.
- W4324133342 hasOpenAccess W4324133342 @default.
- W4324133342 hasPrimaryLocation W43241333421 @default.
- W4324133342 hasRelatedWork W1660141821 @default.
- W4324133342 hasRelatedWork W1966791108 @default.
- W4324133342 hasRelatedWork W2109959508 @default.
- W4324133342 hasRelatedWork W2348623158 @default.
- W4324133342 hasRelatedWork W24874166 @default.
- W4324133342 hasRelatedWork W2885381288 @default.
- W4324133342 hasRelatedWork W2998818612 @default.
- W4324133342 hasRelatedWork W3171342330 @default.
- W4324133342 hasRelatedWork W3199929974 @default.
- W4324133342 hasRelatedWork W4377111694 @default.
- W4324133342 isParatext "false" @default.
- W4324133342 isRetracted "false" @default.
- W4324133342 workType "article" @default.