Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311404507> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4311404507 abstract "Abstract. The energy and moisture exchange between the land surface and atmospheric boundary layer plays a critical role in regional climate simulations. This paper implemented a hybrid data assimilation and machine learning framework (DA-ML method) into the Weather Research and Forecasting (WRF) model to optimize surface soil and vegetation conditions. The hybrid method can integrate remotely sensed leaf area index (LAI), multi-source soil moisture (SM) observations, and land surface models (LSMs) to accurately describe land surface states and fluxes. The performance of the hybrid method on the regional climate was evaluated in the Heihe River Basin (HRB), the second largest endorheic river basin in Northwest China. The findings indicate that the DA-ML method improved the estimation of evapotranspiration (ET) and generated a spatial distribution consistent with the ML-based watershed ET (ETMap). The WRF simulations overestimated (underestimated) the air temperature (specific humidity) in the vegetated areas of the HRB. In contrast, the estimated air temperature and specific humidity from WRF (DA-ML) agree well with the observations, especially in the midstream oasis. The DA-ML framework enhanced oasis-desert interactions by improving the soil and vegetation characteristics. The wetting and cooling effects and wind shield effects of the oasis were enhanced by the DA-ML. The wetting and cooling effect of the oasis can transfer water vapor to the surrounding desert, which benefits the oasis-desert ecosystem. The results show that the wetting and cooling effects only negligibly changed the local precipitation in the midstream oasis. However, upstream of the HRB, the integration of LAI and SM will induce water vapor intensification and promote precipitation, particularly on windward slopes." @default.
- W4311404507 created "2022-12-26" @default.
- W4311404507 creator A5004129455 @default.
- W4311404507 creator A5019020773 @default.
- W4311404507 creator A5032769690 @default.
- W4311404507 creator A5040089495 @default.
- W4311404507 creator A5042772858 @default.
- W4311404507 creator A5049917224 @default.
- W4311404507 creator A5053649349 @default.
- W4311404507 creator A5054709496 @default.
- W4311404507 creator A5073800333 @default.
- W4311404507 creator A5074889369 @default.
- W4311404507 creator A5077558876 @default.
- W4311404507 creator A5081675173 @default.
- W4311404507 date "2022-12-14" @default.
- W4311404507 modified "2023-10-05" @default.
- W4311404507 title "Improving predictions of land-atmosphere interactions based on a hybrid data assimilation and machine learning method" @default.
- W4311404507 doi "https://doi.org/10.5194/hess-2022-379" @default.
- W4311404507 hasPublicationYear "2022" @default.
- W4311404507 type Work @default.
- W4311404507 citedByCount "0" @default.
- W4311404507 crossrefType "posted-content" @default.
- W4311404507 hasAuthorship W4311404507A5004129455 @default.
- W4311404507 hasAuthorship W4311404507A5019020773 @default.
- W4311404507 hasAuthorship W4311404507A5032769690 @default.
- W4311404507 hasAuthorship W4311404507A5040089495 @default.
- W4311404507 hasAuthorship W4311404507A5042772858 @default.
- W4311404507 hasAuthorship W4311404507A5049917224 @default.
- W4311404507 hasAuthorship W4311404507A5053649349 @default.
- W4311404507 hasAuthorship W4311404507A5054709496 @default.
- W4311404507 hasAuthorship W4311404507A5073800333 @default.
- W4311404507 hasAuthorship W4311404507A5074889369 @default.
- W4311404507 hasAuthorship W4311404507A5077558876 @default.
- W4311404507 hasAuthorship W4311404507A5081675173 @default.
- W4311404507 hasBestOaLocation W43114045071 @default.
- W4311404507 hasConcept C107054158 @default.
- W4311404507 hasConcept C127313418 @default.
- W4311404507 hasConcept C133204551 @default.
- W4311404507 hasConcept C142724271 @default.
- W4311404507 hasConcept C153294291 @default.
- W4311404507 hasConcept C176783924 @default.
- W4311404507 hasConcept C187320778 @default.
- W4311404507 hasConcept C18903297 @default.
- W4311404507 hasConcept C205649164 @default.
- W4311404507 hasConcept C24552861 @default.
- W4311404507 hasConcept C2776133958 @default.
- W4311404507 hasConcept C2776941364 @default.
- W4311404507 hasConcept C39432304 @default.
- W4311404507 hasConcept C526740375 @default.
- W4311404507 hasConcept C71924100 @default.
- W4311404507 hasConcept C76886044 @default.
- W4311404507 hasConcept C86803240 @default.
- W4311404507 hasConcept C87717796 @default.
- W4311404507 hasConcept C91586092 @default.
- W4311404507 hasConceptScore W4311404507C107054158 @default.
- W4311404507 hasConceptScore W4311404507C127313418 @default.
- W4311404507 hasConceptScore W4311404507C133204551 @default.
- W4311404507 hasConceptScore W4311404507C142724271 @default.
- W4311404507 hasConceptScore W4311404507C153294291 @default.
- W4311404507 hasConceptScore W4311404507C176783924 @default.
- W4311404507 hasConceptScore W4311404507C187320778 @default.
- W4311404507 hasConceptScore W4311404507C18903297 @default.
- W4311404507 hasConceptScore W4311404507C205649164 @default.
- W4311404507 hasConceptScore W4311404507C24552861 @default.
- W4311404507 hasConceptScore W4311404507C2776133958 @default.
- W4311404507 hasConceptScore W4311404507C2776941364 @default.
- W4311404507 hasConceptScore W4311404507C39432304 @default.
- W4311404507 hasConceptScore W4311404507C526740375 @default.
- W4311404507 hasConceptScore W4311404507C71924100 @default.
- W4311404507 hasConceptScore W4311404507C76886044 @default.
- W4311404507 hasConceptScore W4311404507C86803240 @default.
- W4311404507 hasConceptScore W4311404507C87717796 @default.
- W4311404507 hasConceptScore W4311404507C91586092 @default.
- W4311404507 hasFunder F4320321001 @default.
- W4311404507 hasFunder F4320321133 @default.
- W4311404507 hasLocation W43114045071 @default.
- W4311404507 hasOpenAccess W4311404507 @default.
- W4311404507 hasPrimaryLocation W43114045071 @default.
- W4311404507 hasRelatedWork W2244585662 @default.
- W4311404507 hasRelatedWork W2332988634 @default.
- W4311404507 hasRelatedWork W2340912137 @default.
- W4311404507 hasRelatedWork W2411792586 @default.
- W4311404507 hasRelatedWork W2484817371 @default.
- W4311404507 hasRelatedWork W2521693053 @default.
- W4311404507 hasRelatedWork W2610011880 @default.
- W4311404507 hasRelatedWork W2733927550 @default.
- W4311404507 hasRelatedWork W2883122540 @default.
- W4311404507 hasRelatedWork W3139996901 @default.
- W4311404507 isParatext "false" @default.
- W4311404507 isRetracted "false" @default.
- W4311404507 workType "article" @default.