Giulia Saponaro

ORCID: 0000-0002-8752-9104
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About
Contact & Profiles
Research Areas
  • Atmospheric aerosols and clouds
  • Atmospheric chemistry and aerosols
  • Air Quality Monitoring and Forecasting
  • Atmospheric Ozone and Climate
  • Atmospheric and Environmental Gas Dynamics
  • Air Quality and Health Impacts
  • COVID-19 impact on air quality
  • Aeolian processes and effects
  • Medical Image Segmentation Techniques
  • Infrared Target Detection Methodologies
  • Research Data Management Practices
  • Remote Sensing and LiDAR Applications
  • Satellite Image Processing and Photogrammetry
  • Solar Radiation and Photovoltaics
  • Remote Sensing and Land Use
  • Advanced Computational Techniques and Applications
  • Advanced Vision and Imaging

Finnish Meteorological Institute
2013-2024

Ericsson (Finland)
2024

Abstract The Aerosol, Clouds and Trace Gases Research Infrastructure (ACTRIS) officially became the 33rd European Consortium (ERIC) on 25 April 2023 with support of 17 founding member observer countries. As a pan-European legal organization, ACTRIS ERIC will coordinate provision data products short-lived atmospheric constituents clouds relevant to climate air pollution over next 15–20 years. was designed more than decade ago, its development funded at national levels. It included in Strategy...

10.1175/bams-d-23-0064.1 article EN other-oa Bulletin of the American Meteorological Society 2024-05-03

Abstract. Understanding long-term variations in aerosol loading is essential for evaluating the health and climate effects of airborne particulates as well effectiveness pollution control policies. The expected satellite lifetime about 10 to 15 years. Therefore, study atmospheric constituents over longer periods information from different satellites must be utilized. Here we introduce a method construct combined annual seasonal long time series AOD at 550 nm using Along-Track Scanning...

10.5194/acp-18-16631-2018 article EN cc-by Atmospheric chemistry and physics 2018-11-26

Abstract. Retrieved from the Moderate Resolution Imaging Spectroradiometer (MODIS) on-board Aqua satellite, 12 years (2003–2014) of aerosol and cloud properties were used to statistically quantify aerosol–cloud interaction (ACI) over Baltic Sea region, including relatively clean Fennoscandia more polluted central–eastern Europe. These areas allowed us study effects different types concentrations on macro- microphysical clouds: effective radius (CER), fraction (CF), optical thickness (COT),...

10.5194/acp-17-3133-2017 article EN cc-by Atmospheric chemistry and physics 2017-02-28

Abstract. Satellite-based aerosol products are routinely validated against ground-based reference data, usually obtained from sun photometer networks such as AERONET (AEROsol RObotic NETwork). In a typical validation exercise spatial sample of the instantaneous satellite data is compared temporal point-like data. The observations do not correspond to exactly same column atmosphere at time, and representativeness depends on spatiotemporal variability properties in samples. associated...

10.5194/amt-11-925-2018 article EN cc-by Atmospheric measurement techniques 2018-02-16

Abstract. Cloud misclassification is a serious problem in the retrieval of aerosol optical depth (AOD), which might considerably bias AOD results. On one hand, residual cloud contamination leads to overestimation, whereas removal high-AOD pixels (due their as clouds) underestimation. To remove cloud-contaminated areas retrieved from reflectances measured with (Advanced) Along Track Scanning Radiometers (ATSR-2 and AATSR), using ATSR dual-view algorithm (ADV) over land or single-view (ASV)...

10.5194/amt-10-491-2017 article EN cc-by Atmospheric measurement techniques 2017-02-13

Abstract. The evaluation of modelling diagnostics with appropriate observations is an important task that establishes the capabilities and reliability models. In this study we compare aerosol cloud properties obtained from three different climate models (ECHAM-HAM, ECHAM-HAM-SALSA, NorESM) satellite using Moderate Resolution Imaging Spectroradiometer (MODIS) data. simulator MODIS-COSP version 1.4 was implemented into to obtain MODIS-like diagnostics, thus enabling model-to-model...

10.5194/acp-20-1607-2020 article EN cc-by Atmospheric chemistry and physics 2020-02-10

Abstract. The discrimination of cloudy from cloud-free pixels is required in almost any estimate a parameter retrieved satellite data the ultraviolet (UV), visible (VIS) or infrared (IR) parts electromagnetic spectrum. In this paper we report on development neural network (NN) algorithm to cloud fractions using radiances measured at top atmosphere with NASA-Aura Ozone Monitoring Instrument (OMI). We present and discuss results obtained application two different types networks, i.e., extreme...

10.5194/amt-6-2301-2013 article EN cc-by Atmospheric measurement techniques 2013-09-09

Abstract A total of 118 stratiform water clouds were observed by ground‐based remote sensing instruments at the Mace Head Atmospheric Research Station on west coast Ireland from 2009 to 2015. Microphysical and optical characteristics these studied as well impact aerosols properties. cloud properties derived using algorithm SYRSOC (SYnergistic Remote Sensing Of Clouds). Ground‐based in situ measurements aerosol concentrations transport path air masses level investigated well. The dependence...

10.1002/2016jd025360 article EN Journal of Geophysical Research Atmospheres 2016-11-22

Abstract. Satellite based aerosol products are routinely validated against ground reference data, usually obtained from sunphotometer networks such as AERONET (AEROsol Robotic Network). In a typical validation exercise spatial sample of the instantaneous satellite data is compared temporal point-like data. The observations do not correspond to exactly same column atmosphere at time, and representativiness depends on spatiotemporal variability properties in samples. associated uncertainty...

10.5194/amt-2017-420 preprint EN cc-by 2017-11-23

Abstract. Understanding long-term trends in aerosol loading is essential for evaluating the health and climate effects of airborne particulates as well effectiveness pollution control policies. Here we introduce a method to construct combined annual seasonal AOD long time series using Along-Track Scanning Radiometers (ATSR: ATSR-2 AATSR) MODerate resolution Imaging Spectroradiometer Terra (MODIS/Terra), which together cover period 1995–2017. The (1995–2017) are presented all mainland China,...

10.5194/acp-2018-288 preprint EN cc-by 2018-04-24

Abstract. Clouds reflect solar light much stronger than aerosol particles. Therefore, the retrieval of optical depth (AOD) is usually only attempted over cloud-free areas. To achieve this, a strict cloud detection scheme needs to be applied consisting several tests. However, often not all clouds are detected which results in cloud-contaminated areas with reflectance higher that for aerosols. The AOD retrieved from reflectances measured (Advanced) Along Track Scanning Radiometers (ATSR-2 and...

10.5194/amt-2016-109 preprint EN cc-by 2016-07-06

Abstract. Twelve years (2003–2014) of aerosol and cloud properties retrieved from the Moderate Resolution Imaging Spectroradiometer (MODIS) on-board Aqua satellite were used to statistically quantify aerosol-cloud interaction (ACI) over Baltic Sea region including relatively clean Fennoscandia more polluted Central-Eastern Europe. These areas allowed us study effects different types concentrations on macro- microphysical clouds: effective radius (CER), fraction (CF), optical thickness (COT),...

10.5194/acp-2016-678 preprint EN cc-by 2016-10-27

Abstract. The discrimination of cloudy pixels is required in almost any estimate a parameter retrieved from satellite image the ultraviolet (UV), visual (VIS) or infra-red (IR) parts electromagnetic spectrum. Also, distincion clouds within imagery and distribution their micro-physical properties essential to understanding radiative transfer through atmosphere. This paper reports development neural network algorithms for cloud detection NASA-Aura Ozone Monitoring Instrument (OMI). We present...

10.5194/amtd-6-1649-2013 article EN cc-by 2013-02-13
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