Abstract. Tropical cyclones (TCs) are one of the most devastating natural disasters, which justifies monitoring and prediction on short long timescales in context a changing climate. In this study, we have adapted tested convolutional neural network (CNN) for classification reanalysis outputs according to presence or absence TCs. This study compares performance sensitivity CNN learning dataset....

An analogue method is presented to detect the occurrence of heavy precipitation events without relying on modeled precipitation. The approach is based on using composites to identify distinct large-scale atmospheric conditions associated with widespread heavy precipitation events across local scales. These composites, exemplified in the south-central,midwestern, andwesternUnited States, are der...

Wind and Solar Energy resources are an increasingly large fraction of generation in global electricity systems. However, the variability of these resources necessitates new datasets and tools for understanding their economics and integration in electricity systems. To enable such analyses and more, we have developed a free web-based tool (Global Renewable Energy Atlas & Time-series, or GRETA) t...

A 16-year (2003–2018) evaluation of CO, NO2, SO2, O3, and PM10 from three reanalysis products (CAMS, TCR-2, MERRA-2) against independent observations intercomparison among reanalyses are performed over South Korea. All show significant persistent biases in the five pollutants, but partly capture decreasing trends increasing O3 period. CAMS outperforms TCR-2 MERRA-2 terms area-averaged climatolo...

This paper uses a Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) re-analysis to identify long-term Mediterranean Sea Offshore Wind (OW) classification possible locations. In particular, an OW based on the last 40-years period speeds highlighted best areas potential Turbine Generators (OWTG) installations in basin. Preliminary, results show that several basin...

Modeling of ambient PM2.5 exposure has improved in recent years with the application satellite data, but India, where ground-based measurements are still inadequate, satellite-based assessment cannot provide temporal continuity. In this work, we analyze MERRA-2 (Modern-Era Retrospective analysis for Research and Applications) reanalysis aerosol products to estimate at an hourly scale over India...

Objectives: (a) ground-truthing of black and organic aerosol mass simulated by CAMS MERRA-2, (b) identification different atmospheric processes that propagated errors in these reanalysis datasets.