Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
| Published in: | Journal of Advances in Modeling Earth Systems |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1869753821246259200 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Journal of Advances in Modeling Earth Systems |
| description | |
| discipline_display | Earth Sciences |
| discipline_facet | Earth Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:99443 |
| institution | FRELIP |
| journal_source_facet | Journal of Advances in Modeling Earth Systems |
| last_indexed | 2026-07-04T03:36:36.925Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Integration of Deep Neural Network‐Based Boundary Layer Subgrid Frictional Effects Into the Momentum Equation Constraint of WRFDA EnVar to Improve Tropical Cyclone Forecasts Earth Sciences General Earth Sciences |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Earth Sciences General Earth Sciences |
| subject_facet | Earth Sciences General Earth Sciences |
| title | Integration of Deep Neural Network‐Based Boundary Layer Subgrid Frictional Effects Into the Momentum Equation Constraint of WRFDA EnVar to Improve Tropical Cyclone Forecasts |
| title_alt | Integración de efectos friccionales de la capa límite de subcuadrícula basados en redes neuronales profundas en la restricción de la ecuación de momento de WRFDA EnVar para mejorar los pronósticos de ciclones tropicales Intégration des effets de friction sous-maille de la couche limite basés sur un réseau neuronal profond dans la contrainte de l'équation de quantité de mouvement de WRFDA EnVar pour améliorer les prévisions de cyclones tropicaux Integração de Efeitos de Fricção Subgrade da Camada Limite Baseados em Rede Neural Profunda na Restrição da Equação de Momento do WRFDA EnVar para Melhorar as Previsões de Ciclones Tropicais |
| title_auth | Integration of Deep Neural Network‐Based Boundary Layer Subgrid Frictional Effects Into the Momentum Equation Constraint of WRFDA EnVar to Improve Tropical Cyclone Forecasts |
| title_es_txt | Integración de efectos friccionales de la capa límite de subcuadrícula basados en redes neuronales profundas en la restricción de la ecuación de momento de WRFDA EnVar para mejorar los pronósticos de ciclones tropicales |
| title_fr_txt | Intégration des effets de friction sous-maille de la couche limite basés sur un réseau neuronal profond dans la contrainte de l'équation de quantité de mouvement de WRFDA EnVar pour améliorer les prévisions de cyclones tropicaux |
| title_full | Integration of Deep Neural Network‐Based Boundary Layer Subgrid Frictional Effects Into the Momentum Equation Constraint of WRFDA EnVar to Improve Tropical Cyclone Forecasts |
| title_fullStr | Integration of Deep Neural Network‐Based Boundary Layer Subgrid Frictional Effects Into the Momentum Equation Constraint of WRFDA EnVar to Improve Tropical Cyclone Forecasts |
| title_full_unstemmed | Integration of Deep Neural Network‐Based Boundary Layer Subgrid Frictional Effects Into the Momentum Equation Constraint of WRFDA EnVar to Improve Tropical Cyclone Forecasts |
| title_pt_txt | Integração de Efeitos de Fricção Subgrade da Camada Limite Baseados em Rede Neural Profunda na Restrição da Equação de Momento do WRFDA EnVar para Melhorar as Previsões de Ciclones Tropicais |
| title_short | Integration of Deep Neural Network‐Based Boundary Layer Subgrid Frictional Effects Into the Momentum Equation Constraint of WRFDA EnVar to Improve Tropical Cyclone Forecasts |
| title_sort | integration of deep neural network‐based boundary layer subgrid frictional effects into the momentum equation constraint of wrfda envar to improve tropical cyclone forecasts |
| topic | Earth Sciences General Earth Sciences |
| url | https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025MS005605?af=R |