Spatial-Temporal resolution implementation of cloud-aerosols data through satellite cross-correlation.
AOD
Atmospheric effects
Methods: statistical analysis
Site testing
Spatial-Temporal Implementation Algorithm (STIA)
Journal
MethodsX
ISSN: 2215-0161
Titre abrégé: MethodsX
Pays: Netherlands
ID NLM: 101639829
Informations de publication
Date de publication:
Jun 2024
Jun 2024
Historique:
received:
27
10
2023
accepted:
03
01
2024
medline:
31
1
2024
pubmed:
31
1
2024
entrez:
31
1
2024
Statut:
epublish
Résumé
The Moderate Resolution Imaging Spectroradiometer (MODIS) instrument aboard Terra and Aqua satellites provides measurements of several atmospheric parameters. This paper focuses on the cloud fraction data representing the number of cloudy pixels divided by the total number of pixels, and available through 1° x 1° grids spatial resolution with daily or monthly temporal resolution. The aim of the study is to propose a novel method called The Spatial-Temporal Implementation Algorithm (STIA) for analysing satellite daily 1° x 1°grid cloud fraction average values for•Comparing two datasets retrieved by MODIS aboard Aqua and Terra satellites to obtain information on the cloud formation in the afternoon and morning, respectively, thus enhancing the temporal resolution.•Comparing the actual parameter with others retrieved by instruments aboard of different satellites characterized by a better resolution. As an example of STIA application, this study uses the Aerosol Optical Depth (AOD) collected by the Ozone Monitoring Instrument (OMI) on board of Aura satellite for comparison with MODIS instrument to achieve and enhanced spatial resolution of the grid-cell.
Identifiants
pubmed: 38292309
doi: 10.1016/j.mex.2024.102547
pii: S2215-0161(24)00002-5
pmc: PMC10825479
doi:
Types de publication
Journal Article
Langues
eng
Pagination
102547Informations de copyright
© 2024 The Authors. Published by Elsevier B.V.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.