Sergio Ciamprone

ORCID: 0000-0002-1493-2322
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About
Contact & Profiles
Research Areas
  • Advanced Topics in Algebra
  • Algebraic structures and combinatorial models
  • Advanced Operator Algebra Research
  • Atmospheric chemistry and aerosols
  • Atmospheric aerosols and clouds
  • Atmospheric and Environmental Gas Dynamics
  • Air Quality Monitoring and Forecasting
  • Atmospheric Ozone and Climate
  • Homotopy and Cohomology in Algebraic Topology
  • Meteorological Phenomena and Simulations

National Research Council - Institute of Methodologies for Environmental Analysis
2020-2023

Sapienza University of Rome
2015-2017

Abstract. Aerosol reanalysis datasets are model-based, observationally constrained, continuous 3D aerosol fields with a relatively high temporal frequency that can be used to assess variations and trends, climate effects, impacts on socioeconomic sectors, such as health. Here we compare the recently published MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) high-resolution regional desert dust over northern Africa, Middle East, Europe (NAMEE) combination of ground-based...

10.5194/acp-23-5487-2023 article EN cc-by Atmospheric chemistry and physics 2023-05-17

We discuss tensor categories motivated by CFT, their unitarizability and applications to various models including the affine VOAs. classification of type A Verlinde fusion categories. propose an approach Kazhdan-Lusztig-Finkelberg theorem. This theorem gives a ribbon equivalence between category associated quantum group at certain root unity that corresponding vertex operator algebra suitable positive integer level. develop ideas Wenzl. Our results rely on notion weak-quasi-Hopf...

10.48550/arxiv.2101.10016 preprint EN other-oa arXiv (Cornell University) 2021-01-01

10.1016/j.aim.2017.10.025 article EN publisher-specific-oa Advances in Mathematics 2017-11-13

<p>In December 2019, a contract between CNR and ECMWF was signed for pilot ACTRIS/EARLINET data provision to the Copernicus Atmosphere Monitoring Service (CAMS). Such (CAMS21b) aims put in place first set of selected stations it will demonstrate feasibility fully traceable quality-controlled whole network.</p><p>In CAMS21b, main effort is devoted design, test up products Real Time (RRT) and/or Near (NRT) CAMS. The activities are focused on automatic...

10.5194/egusphere-egu21-14943 article EN 2021-03-04

We construct a new class of finite-dimensional C^*-quantum groupoids at roots unity q=e^{i\pi/\ell}, with limit the discrete dual classical SU(N) for large orders. The representation category our groupoid turns out to be tensor equivalent well known quotient C^*-category tilting modules non-semisimple quantum group U_q({\mathfrak sl}_N) Drinfeld, Jimbo and Lusztig. As an algebra, C^*-groupoid is sl}_N). coalgebra, it naturally reflects categorical construction. In particular, not...

10.48550/arxiv.1506.02619 preprint EN other-oa arXiv (Cornell University) 2015-01-01

<p>An advanced dust reanalysis with high spatial (at 10km x 10km) and temporal resolution is produced in the framework of DustClim project (Dust Storms Assessment for development user-oriented Climate Services Northern Africa, Middle East Europe) [1], aiming to provide reliable information on storms current conditions predictions, focusing impacts various socio-economic sectors.</p><p>This regional based assimilation dust-related satellite...

10.5194/egusphere-egu2020-21863 article EN 2020-03-10

Abstract. Aerosol reanalysis datasets are model-based observationally constrained continuous 3D aerosol fields with relatively high temporal frequency that can be used to assess variations and trends, climate effects impacts upon socio–economic sectors, such as health. Here we compare the recently published MONARCH resolution regional desert dust over Northern Africa, Middle East Europe (NAMEE) a combination of ground-based observations space-based retrievals products. In particular, total...

10.5194/acp-2022-655 preprint EN cc-by 2022-11-01

Figure S1.Regional DOD skill scores (mean ± standard deviation, MB, RMSE, FGE and CC) for the MONARCH reanalysis considering MIDAS as a reference, averaged over study period 2007-2016 on annual basis (ANN) by season (DJF, MAM, JJA SON), along with corresponding regional number of samples N. The full name acronym each sub-region is given in Fig. 1.The color scale metric based color-bars shown if 6 7.

10.5194/acp-2022-655-supplement preprint EN 2022-11-01
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