Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Víctor Molina García"'
Autor:
Athina Argyrouli, Ronny Lutz, Fabian Romahn, Víctor Molina García, Diego Loyola, Sora Seo, Pieter Valks, Isabelle De Smedt, Folkert Boersma, Lieuwe Gijsbert Tilstra, Piet Stammes, Steven Compernolle
Publikováno v:
Environmental Sciences Proceedings, Vol 26, Iss 1, p 203 (2023)
In recent decades, there has been an increasing interest in making use of satellite measurements for identifying trends in atmospheric composition and climate. Instruments like GOME-2 and TROPOMI are dedicated to air-quality and global trace gas moni
Externí odkaz:
https://doaj.org/article/68b0f82679da4ce6bb453e079ed38b9f
Autor:
Sruthy Sasi, Vijay Natraj, Víctor Molina García, Dmitry S. Efremenko, Diego Loyola, Adrian Doicu
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3656 (2020)
An algorithm for retrieving aerosol parameters by taking into account the uncertainty in aerosol model selection is applied to the retrieval of aerosol optical thickness and aerosol layer height from synthetic measurements from the EPIC sensor onboar
Externí odkaz:
https://doaj.org/article/50d46fe67e4144048404a84bbbc4a0a0
Autor:
Sruthy Sasi, Vijay Natraj, Víctor Molina García, Dmitry S. Efremenko, Diego Loyola, Adrian Doicu
Publikováno v:
Remote Sensing, Vol 12, Iss 22, p 3724 (2020)
The retrieval of aerosol and cloud properties such as their optical thickness and/or layer/top height requires the selection of a model that describes their microphysical properties. We demonstrate that, if there is not enough information for an appr
Externí odkaz:
https://doaj.org/article/a5947f842e284efe8c7c8840109440cb
Publikováno v:
Remote Sensing, Vol 12, Iss 8, p 1250 (2020)
Current atmospheric composition sensors provide a large amount of high spectral resolution data. The accurate processing of this data employs time-consuming line-by-line (LBL) radiative transfer models (RTMs). In this paper, we describe a method to a
Externí odkaz:
https://doaj.org/article/008051eb585147a6b16dff7a3fb6f33d
Publikováno v:
Remote Sensing, Vol 11, Iss 15, p 1747 (2019)
In this work, we address the image geolocation issue that is present in the imagery of EPIC/DSCOVR (Earth Polychromatic Imaging Camera/Deep Space Climate Observatory) Level 1B version 2. To solve it, we develop an algorithm that automatically compute
Externí odkaz:
https://doaj.org/article/3320a3ca2e4040d2a3b9a30119e59418
Publikováno v:
Atmosphere, Vol 10, Iss 3, p 142 (2019)
The new generation of atmospheric composition sensors such as TROPOMI is capable of providing spectra of high spatial and spectral resolution. To process this vast amount of spectral information, fast radiative transfer models (RTMs) are required. In
Externí odkaz:
https://doaj.org/article/59e157b92edf4faa9d2893ea62d92611
Autor:
Fabian Romahn, Diego Loyola, Adrian Doicu, Víctor Molina García, Ronny Lutz, Athina Argyrouli
Due to their fast computational performance, neural networks (NNs) are nowadays commonly used in the context of remote sensing. The issue of performance is especially important in the context of big data and operational processing. Classical retrieva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0c90ca91d6066ed8d284c7234f86705
https://doi.org/10.5194/egusphere-egu23-10972
https://doi.org/10.5194/egusphere-egu23-10972
The study of ice clouds properties is of central importance to further understand the role of ice clouds in climate system processes. Therefore, it is crucial to perform accurate ice cloud retrievals in satellite-based systems in order to provide rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::060cf55ef2b06dc9a6e611b386a67cfc
https://doi.org/10.5194/egusphere-egu22-9552
https://doi.org/10.5194/egusphere-egu22-9552
Sentinel-5 Precursor and Sentinel-4 are atmospheric Copernicus missions focused on trace gas, greenhouse gas, aerosol and cloud retrieval and operate in the UV/VIS/NIR/(SWIR) spectral region. A key ingredient for the retrieval of the aforementioned t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db5feab6d2cfa12a6308098a2c007a59
https://doi.org/10.5194/egusphere-egu21-9450
https://doi.org/10.5194/egusphere-egu21-9450
The increasing amount of Earth observation data provided by the Copernicus Satellite Sensors, the already operational Sentinel-5 Precursor (S5P) and the upcoming Sentinel-4 (S4), that has to be processed within strict near real time (NRT) requirement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19c2473d9e7bf0b5aeb01a71a8dbedaa
https://doi.org/10.5194/egusphere-egu21-12525
https://doi.org/10.5194/egusphere-egu21-12525