Zobrazeno 1 - 10
of 29
pro vyhledávání: '"aerosol data assimilation"'
Autor:
Soyoung Ha, Rajesh Kumar, Gabriele Pfister, Yonghee Lee, Daegyun Lee, Hyun Mee Kim, Young‐Hee Ryu
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 2, Pp n/a-n/a (2024)
Abstract This study introduces a new chemistry option in the Weather Research and Forecasting model data assimilation (WRFDA) system, coupled with the WRF‐Chem model (Version 4.4.1), to incorporate aqueous chemistry (AQCHEM) in the assimilation of
Externí odkaz:
https://doaj.org/article/4d2d765204b343deb7398e3f5121f29a
Autor:
Bo Huang, Mariusz Pagowski, Samuel Trahan, Cory R. Martin, Andrew Tangborn, Shobha Kondragunta, Daryl T. Kleist
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 4, Pp n/a-n/a (2023)
Abstract A three‐dimensional ensemble‐variational global aerosol data assimilation system based on the Joint Effort for Data assimilation Integration (JEDI) was developed for the Global Ensemble Forecast System‐Aerosols (GEFS‐Aerosols) couple
Externí odkaz:
https://doaj.org/article/2bd560bd009b408789dd04eb2518e8e2
Publikováno v:
GIScience & Remote Sensing, Vol 58, Iss 7, Pp 1175-1194 (2021)
This study develops an aerosol data assimilation and forecast system using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) and the three-dimensional variational (3D-VAR) data assimilation method. The system assimilates th
Externí odkaz:
https://doaj.org/article/64815ae65b474baaa5889ba9fa99f628
Akademický článek
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Autor:
Yueming Cheng, Tie Dai, Daisuke Goto, Hiroshi Murakami, Mayumi Yoshida, Guangyu Shi, Teruyuki Nakajima
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 3020 (2021)
Dust aerosols have great effects on global and regional climate systems. The Global Change Observation Mission-Climate (GCOM-C), also known as SHIKISAI, which was launched on 23 December 2017 by the Japan Aerospace Exploration Agency (JAXA), is a nex
Externí odkaz:
https://doaj.org/article/f9d96e79198446aeab517ba415a76344
Publikováno v:
Tellus: Series B, Chemical and Physical Meteorology, Vol 68, Iss 0, Pp 1-14 (2016)
Observing system experiments are presented to characterise impacts of surface and vertical profile measurements on aerosol analysis and forecast skill. A three-dimensional (3D) variational data assimilation system is implemented within the Weather Re
Externí odkaz:
https://doaj.org/article/593940deaa3944afa029ed180ecb3af6
Akademický článek
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Akademický článek
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Data for the manuscript: "Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system" atAtmospheric Chemistry and Physics. The tar file contains two folders. The folder Experim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::b01e0751bb6b23ab4deed6968be67d17
https://zenodo.org/record/6141819
https://zenodo.org/record/6141819
Autor:
Di Tomaso, Enza, Escribano, Jerónimo, Basart, Sara, Ginoux, Paul, Macchia, Francesca, Barnaba, Francesca, Benincasa, Francesco, Bretonnière, Pierre Antoine, Buñuel, Arnau, Castrillo, Miguel, Cuevas, Emilio, Formenti, Paola, Gonçalves-Ageitos, María, Jorba, Oriol, Klose, Martina, Mona, Lucia, Montané, Gilbert, Mytilinaios, Michail, Obiso, Vincenzo, Olid, Miriam, Schutgens, Nick, Votsis, Athanasios, Werner, Ernest, Pérez García-Pando, Carlos, Mensink, Clemens
Publikováno v:
Air Pollution Modeling and its Application XXVIII ISBN: 9783031127854
Air Pollution Modeling and its Application XXVIII, 241-247
STARTPAGE=241;ENDPAGE=247;TITLE=Air Pollution Modeling and its Application XXVIII
Air Pollution Modeling and its Application XXVIII, 241-247
STARTPAGE=241;ENDPAGE=247;TITLE=Air Pollution Modeling and its Application XXVIII
Aerosol reanalyses are a well-established tool for monitoring aerosol trends, for validation and calibration of weather chemical models, as well as for the enhancement of strategies for environmental monitoring and hazard mitigation. By providing a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dadddabcf18322aebc45f144cf165722
https://doi.org/10.1007/978-3-031-12786-1_33
https://doi.org/10.1007/978-3-031-12786-1_33