Akademik Veri Yönetim Sistemi
Aslanoğlu S. Y. (Yürütücü)
AB Destekli Diğer Projeler, 2025 - 2025
Atmospheric observations
using conventional passive remote sensing instruments typically require
daylight, which limits the ability to cover the entire diurnal cycle and
creates a nighttime information gap in climatological datasets. However,
several techniques can perform nocturnal observations, including ground-based
and space-borne lidars, stellar photometry, and lunar photometry.
Lidars can cover the
full diurnal cycle but are expansive instruments requiring operational efforts
and complicate inversion processes to obtain the profile of aerosol extinction.
Aerosol columnar parameters like Aerosol Optical Depth (AOD) are obtained only
indirectly. Stellar photometers are measuring during the whole night so far
there are cloudless conditions, but the infrastructures are very bulky and
expansive, the instrumentation maintenance is expansive and complicated and the
measurements require partial human intervention (non-full automatic modus),
what is an obstacle to permanent operational monitoring of the AOD. Therefore,
the most appropriate instrument for operational AOD monitoring during the night
is the lunar photometer, even if it only measures the half of the nights (at
least half-moon is required) and usually only during the half of each night
(from moon rise to sun rise or from sun set to moon set). Lunar photometers are
usually solar photometer with a robotic sun/moon tracker that point the sun or
the sky during the day and the moon during the night.
Several lunar
photometers currently perform measurements on well-established global networks
such as the Cimel CE318-T on AERONET, LunarPFR on GAW-PFR, and Lunar-Sky
Radiometer on SKYNET.
This proposed study aims to perform a comparative analysis of solar and lunar measurements using a single instrument, the Cimel CE318-T sun-sky-lunar photometer, at the station Lindenberg (DWD Meteorological Observatory Lindenberg: MOL-RAO, (AERONET station “MetObs_Lindenberg”, 52.209275ºN, 14.12087ºE, 120m) over the period from 2016 to 2022. The study is structured into two main parts: (1) comparing solar and lunar measurements to assess diurnal variations across all available wavelengths, and (2) detecting uncorrelated patterns in the time series, identifying possible causes, and determining their origins and general source attributions through back-trajectory analysis with HYSPLIT tool.