Source Themes

Practical machine learning based on cloud computing resources

The aim of the present study is to investigate the potential for building a common platform to support direct end-user application of machine learning algorithms across diverse scientific areas, emphasizing not only the suitability of appropriate tools, but also how results can be disseminated and utilised in a shared data environment.

Ten priority science gaps in assessing climate data record quality

Decision makers need accessible robust evidence to introduce new policies to mitigate and adapt to climate change. There is an increasing amount of environmental information available to policy makers concerning observations and trends relating to the climate.

SPARC/IO3C/GAW Report on Long-term Ozone Trends and Uncertainties in the Stratosphere

This Report summarises the main results obtained during the first year of the LOTUS activity, which was targeted at providing timely inputs to the 2018 WMO/UNEP Ozone Assessment.

Earth observation-based estimation and forecasting of particulate matter impact on solar energy in Egypt

This study estimates the impact of dust aerosols on surface solar radiation and solar energy in Egypt based on Earth Observation (EO) related techniques.

Assessment of surface solar irradiance derived from real-time modelling techniques and verification with ground-based measurements

This study focuses on the assessment of surface solar radiation (SSR) based on operational neural network (NN) and multi-regression function (MRF) modelling techniques that produce instantaneous (in less than 1?min) outputs.

Dust impact on surface solar irradiance assessed with model simulations, satellite observations and ground-based measurements

This study assesses the impact of dust on surface solar radiation focussing on an extreme dust event. For this purpose, we exploited the synergy of AERONET measurements and passive and active satellite remote sensing (MODIS and CALIPSO) observations, in conjunction with radiative transfer model (RTM) and chemical transport model (CTM) simulations and the 1-day forecasts from the Copernicus Atmosphere Monitoring Service (CAMS).

TEMIS UV product validation using NILU-UV ground-based measurements in Thessaloniki, Greece

This study aims to cross-validate ground-based and satellite-based models of three photobiological UV effective dose products - the Commission Internationale de l'Eclairage (CIE) erythemal UV, the production of vitamin D in the skin, and DNA damage, using high-temporal-resolution surface-based measurements of solar UV spectral irradiances from a synergy of instruments and models.

Anthropogenic sulphur dioxide load over China as observed from different satellite sensors

Algorithms providing total SO2 columns over China based on SCIAMACHY/Envisat, OMI/Aura and GOME2/MetopA observations are presented.

Modeling the relationship between photosynthetically active radiation and global horizontal irradiance using singular spectrum analysis

We report on the construction of generic models to calculate photosynthetically active radiation (PAR) from global horizontal irradiance (GHI), and vice versa. We show how multi-linear regression and nonlinear neural network (NN) models, trained at a calibration site (Thessaloniki) can be made generic provided that the input-output time series are processed with multi-channel singular spectrum analysis (M-SSA).

Particulate matter estimation from photochemistry: A modelling approach using neural networks and synoptic clustering

We report on the development and validation of a neural network (NN) model of PM10 concentrations in terms of photochemical measurements of NO, NO2 and O3 and temporal parameters that include the day of the week and the day of the year with its sinusoidal variation.