Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Hendrik Elbern"'
Autor:
Aline M. de Oliveira, Cristina T. Souza, Nara P. M. de Oliveira, Aline K. S. Melo, Fabio J. S. Lopes, Eduardo Landulfo, Hendrik Elbern, Judith J. Hoelzemann
Publikováno v:
Atmosphere, Vol 10, Iss 10, p 594 (2019)
A 12-year analysis, from 2005 to 2016, of atmospheric aerosol optical properties focusing for the first time on Northeast Brazil (NEB) was performed based on four different remote sensing datasets: the Moderate Resolution Imaging Spectroradiometer (M
Externí odkaz:
https://doaj.org/article/81982d927abb472da8fe0ec7367a5f14
Autor:
Adrien Michel Deroubaix, Judith Johanna Hoelzemann, Rita Ynoue, Idir Bouarar, Ediclê de Souza Fernandes Duarte, Hendrik Elbern, Pablo Lichtig, Leila Droprinchinski Martins, Nilton Manuel Évora do Rosário, Guy P. Brasseur, rafaela Cruz Alves, Gregori de Arruda Moreira, phiipp franke, Maria de Fatima Andrade, Anne Caroline Lange, Willian Lemker Andreao, rizzieri Pedruzzi, Taciana Toledo de Almeida Albuquerque, Lya Lugon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df002e898c3c8ec4ef0b6f15fa910e47
https://doi.org/10.1002/essoar.10512847.2
https://doi.org/10.1002/essoar.10512847.2
Publikováno v:
Geoscientific model development 16(3), 1083-1104 (2023). doi:10.5194/gmd-16-1083-2023
Geoscientific model development discussions (2022). doi:10.5194/gmd-2022-118
Geoscientific model development discussions (2022). doi:10.5194/gmd-2022-118
We present the largest sensitivity study to date for cloud cover using the Weather Forecasting and Research model (WRF V3.7.1) on the European domain. The experiments utilize the meteorological part of a large-ensemble framework, ESIAS-met (Ensemble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e4a9f9cfbe74ce9039d011fc049940c
https://gmd.copernicus.org/preprints/gmd-2022-118/
https://gmd.copernicus.org/preprints/gmd-2022-118/
Emission data as main input to air quality forecast models introduce large uncertainties. These data originate from emission inventories that provide estimates of spatially distributed emissions in general as an annual total amount. The temporal vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c82cf2dee5bb0f7cb1c6bd2d0fe65174
https://doi.org/10.5194/egusphere-egu22-8023
https://doi.org/10.5194/egusphere-egu22-8023
Intercomparison of air quality models in São Paulo, towards an operational ensemble forecasts system
Autor:
Adrien Deroubaix, Judith Hoelzemann, Edicle Duarte, Philipp Franke, Hendrik Elbern, Maria de Fatima Andrade, Anne-Caroline Lange, Leila Martins, Rizzieri Pedruzzi, Taciana Toledo, Lya Von-Marttens, Rita Yuri Ynoue, Guy Brasseur
Predicting air quality in megacities is challenging due to the diversity and variability of emission sources, as well as the specific meteorology and photochemistry occurring in the urban boundary layer.São Paulo is by far the largest city in South
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::085a1972765619c2e71e2c17e31c1138
https://doi.org/10.5194/egusphere-egu22-11591
https://doi.org/10.5194/egusphere-egu22-11591
Publikováno v:
Stochastic environmental research and risk assessment 36, 1743–1760 (2022). doi:10.1007/s00477-021-02113-x
In predictive geophysical model systems, uncertain initial values and model parameters jointly influence the temporal evolution of the system. This renders initial-value-only optimization by traditional data assimilation methods as insufficient. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc0f8927bcffc48f8ef18f5e2789fea2
https://juser.fz-juelich.de/record/902298
https://juser.fz-juelich.de/record/902298
Publikováno v:
Geoscientific model development discussions (2021). doi:10.5194/gmd-2021-30
A particle filter based inversion system to derive time- and altitude-resolved volcanic ash emission fluxes along with its uncertainty is presented. For the underlying observation information only vertically integrated ash load data as provided by re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a1763085b320a2106150b386e3e4c22
https://gmd.copernicus.org/preprints/gmd-2021-30/
https://gmd.copernicus.org/preprints/gmd-2021-30/
Autor:
Hendrik Elbern, Annika Vogel
Atmospheric chemical forecasts highly rely on various model parameters, which are often insufficiently known, as emission rates and deposition velocities. However, a reliable estimation of resulting uncertainties by an ensemble of forecasts is impair
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dacee098306a5c40323b837ca64dc73
https://gmd.copernicus.org/preprints/gmd-2021-26/
https://gmd.copernicus.org/preprints/gmd-2021-26/
Autor:
Anne Caroline Lange, Eduardo Landulfo, Cláudio Moisés Santos e Silva, E. Friese, Ediclê de Souza Fernandes Duarte, Philipp Franke, Jonatan João da Silva, Fabio J.S. Lopes, Judith J. Hoelzemann, Hendrik Elbern, Jean Souza dos Reis
Publikováno v:
Atmospheric pollution research 12(2), 451-469 (2021). doi:10.1016/j.apr.2020.12.006
We present a high-resolution air quality study over Sao Paulo, Brazil with the EURopean Air Pollution Dispersion - Inverse Model (EURAD-IM) used for the first time over South America simulating detailed features of aerosols. Modeled data are evaluate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d562e7ff5002080ad2d8c4b295258804
https://hdl.handle.net/2128/29356
https://hdl.handle.net/2128/29356