Abstract. Aerosols play an important role in key atmospheric processes and feature high
spatial and temporal variabilities. This has motivated scientific interest in
the development of networks capable of measuring aerosol properties over
large geographical areas in near-real time. In this work we present and
discuss results of an aerosol optical depth (AOD) algorithm applied to
instruments of the European Brewer Network. This network is comprised of
close to 50 Brewer spectrophotometers, mostly located in Europe and adjacent
areas, although instruments operating at, for example, South America and Australia are
also members. Although we only show results for instruments calibrated by the
Regional Brewer Calibration Center for Europe, the implementation of the AOD
algorithm described is intended to be used by the whole network in the
future. Using data from the Brewer intercomparison campaigns in the years
2013 and 2015, and the period in between, plus comparisons with Cimel
sun photometers and UVPFR instruments, we check the precision, stability, and
uncertainty of the Brewer AOD in the ultraviolet range from 300 to
320 nm. Our results show a precision better than 0.01, an uncertainty
of less than 0.05, and, for well-maintained instruments, a stability similar to that of the ozone measurements. We also discuss future improvements to our
algorithm with respect to the input data, their processing, and the
characterization of the Brewer instruments for the measurement of AOD.
In this paper we present a novel FPGA implementation of the Consultative Committee for Space Data Systems Image Data Compression (CCSDS-IDC 122.0-B-1) for performing image compression aboard the Polarimetric and Helioseismic Imager instrument of the ESA's Solar Orbiter mission. This is a System-On-Chip solution based on a light multicore architecture combined with an efficient ad-hoc Bit Plane Encoder core. This hardware architecture performs an acceleration of ~30 times with respect to a software implementation running into space-qualified processors, like LEON3. The system stands out over other FPGA implementations because of the low resource usage, which does not use any external memory, and of its configurability.
Abstract. The high spatial and temporal variability of aerosols make networks capable of measuring their properties in near real time of high scientific interest. In this work we present and discuss results of an aerosol optical depth algorithm to be used in the European Brewer Network, which provides data in near real time of more than 30 spectrophotometers located from Tamanrasset (Algeria) to Kangerlussuaq (Greenland). Using data from the Brewer Intercomparison Campaigns in the years 2013 and 2015, and the period in between, plus comparisons with Cimel sunphotometers and UVPFR instruments, we check 5 the precision, stability, and uncertainty of the Brewer AOD in the ultraviolet range from 300 to 320 nm. Our results show a precision better than 0.01, an uncertainty of less than 0.05, and a stability similar to that of the ozone measurements for wellmaintained instruments. We also discuss future improvements to our algorithm with respect to the input data, their processing, and the characterization of the Brewer instruments for the measurement of aerosols.1 Atmos. Chem. Phys. Discuss., https://doi
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.