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DI NOIA, ANTONIO

DI NOIA, ANTONIO  

Dipartimento di Ingegneria Civile e Ingegneria informatica  

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Risultati 1 - 20 di 29 (tempo di esecuzione: 0.02 secondi).
Data di pubblicazione Titolo Autore(i) Tipo File
1-gen-2020 A decade of GOSAT Proxy satellite CH4 observations Parker, Rj; Webb, A; Boesch, H; Somkuti, P; Barrio Guillo, R; Di Noia, A; Kalaitzi, N; Anand, Js; Bergamaschi, P; Chevallier, F; Palmer, Pi; Feng, L; Deutscher, Nm; Feist, Dg; Griffith, Dwt; Hase, F; Kivi, R; Morino, I; Notholt, J; Oh, Y-; Ohyama, H; Petri, C; Pollard, Df; Roehl, C; Sha, Mk; Shiomi, K; Strong, K; Sussmann, R; T('e), Y; Velazco, Va; Warneke, T; Wennberg, Po; Wunch, D Articolo su rivista
1-gen-2021 A New TanSat XCO2 Global Product towards Climate Studies Yang, D; Liu, Y; Boesch, H; Yao, L; Di Noia, A; Cai, Z; Lu, N; Lyu, D; Wang, M; Wang, J; Yin, Z; Zheng, Y Articolo su rivista
1-gen-2019 Aerosol measurements by SPEXone on the NASA PACE mission: expected retrieval capabilities Hasekamp, Op; Fu, G; Rusli, Sp; Wu, L; Di Noia, A; aan de Brugh, J; Landgraf, J; Smit, Jm; Rietjens, J; van Amerongen, A Articolo su rivista
1-gen-2020 Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm Fu, G; Hasekamp, O; Rietjens, J; Smit, M; Di Noia, A; Cairns, B; Wasilewski, A; Diner, D; Seidel, F; Xu, F; Knobelspiesse, K; Gao, M; Da Silva, A; Burton, S; Hostetler, C; Hair, J; Ferrare, R Articolo su rivista
1-gen-2012 Application of neural networks to atmospheric ozone retrievals from the ozone monitoring instrument - Tesi di dottorato
1-gen-2014 Atmospheric aerosol characterization with a ground-based SPEX spectropolarimetric instrument Van Harten, G; De Boer, J; Rietjens, Jhh; Di Noia, A; Snik, F; Volten, H; Smit, Jm; Hasekamp, Op; Henzing, Js; Keller, Cu Articolo su rivista
1-gen-2021 Can a regional-scale reduction of atmospheric CO2 during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO2 retrievals Buchwitz, M; Reuter, M; Noël, S; Bramstedt, K; Schneising, O; Hilker, M; Fuentes Andrade, B; Bovensmann, H; Burrows, Jp; DI NOIA, A; Boesch, H; Wu, L; Landgraf, J; Aben, I; Retscher, C; O'Dell, Cw; Crisp, D Articolo su rivista
1-gen-2017 Combined neural network/Phillips-Tikhonov approach to aerosol retrievals over land from the NASA Research Scanning Polarimeter Di Noia, A; Hasekamp, Op; Wu, L; Van Diedenhoven, B; Cairns, B; Yorks, Je Articolo su rivista
1-gen-2020 Ensemble-based satellite-derived carbon dioxide and methane column-averaged dry-air mole fraction data sets (2003-2018) for carbon and climate applications Reuter, M; Buchwitz, M; Schneising, O; Noël, S; Bovensmann, H; Burrows, Jp; Boesch, H; Di Noia, A; Anand, J; Parker, Rj; Somkuti, P; Wu, L; Hasekamp, Op; Aben, I; Kuze, A; Suto, H; Shiomi, K; Yoshida, Y; Morino, I; Crisp, D; O'Dell, Cw; Notholt, J; Petri, C; Warneke, T; Velazco, Va; Deutscher, Nm; Griffith, Dwt; Kivi, R; Pollard, Df; Hase, F; Sussmann, R; Té, Yv; Strong, K; Roche, S; Sha, Mk; De Mazière, M; Feist, Dg; Iraci, Lt; Roehl, Cm; Retscher, C; Schepers, D Articolo su rivista
1-mag-2010 Feasibility of aerosol retrievals from hyperspectral data DEL FRATE, F; Di Noia, A; Sellitto, P; Curci, G Intervento a convegno
1-gen-2013 Global tropospheric ozone column retrievals from OMI data by means of neural networks Di Noia, A; Sellitto, P; DEL FRATE, F; de Laat, J Articolo su rivista
1-gen-2014 Mapping atmospheric aerosols with a citizen science network of smartphone spectropolarimeters Snik, F; Rietjens, Jhh; Apituley, A; Volten, H; Mijling, B; Di Noia, A; Heikamp, S; Heinsbroek, Rc; Hasekamp, Op; Smit, Jm; Vonk, J; Stam, Dm; Van Harten, G; De Boer, J; Keller, Cu Articolo su rivista
1-gen-2021 Monitoring greenhouse gases from space Boesch, H; Liu, Y; Tamminen, J; Yang, D; Palmer, Pi; Lindqvist, H; Cai, Z; Che, K; Di Noia, A; Feng, L; Hakkarainen, J; Ialongo, I; Kalaitzi, N; Karppinen, T; Kivi, R; Kivim(\, Articolo su rivista
1-gen-2012 Neural network algorithm to retrieve tropospheric ozone from the ozone monitoring instrument: design and validation Di Noia, A; Sellitto, P; DEL FRATE, F; de Laat, J Intervento a convegno
1-gen-2018 Neural networks and support vector machines and their application to aerosol and cloud remote sensing: a review DI NOIA, A; Hasekamp Otto, P Contributo in libro
1-gen-2009 On the role of VIS radiation for the ozone information retrieval from SCIAMACHY data by means of neural network algorithms Sellitto, P; Di Noia, A; DEL FRATE, F; Solimini, D Intervento a convegno
1-gen-2012 On the role of visible radiation in ozone profile retrieval from nadir UV/VIS satellite measurements: An experiment with neural network algorithms inverting SCIAMACHY data Sellitto, P; Di Noia, A; DEL FRATE, F; Burini, A; Casadio, S; Solimini, D Articolo su rivista
1-gen-2022 Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm Noël, S; Reuter, M; Buchwitz, M; Borchardt, J; Hilker, M; Schneising, O; Bovensmann, H; Burrows, Jp; DI NOIA, A; Parker, Rj; Suto, H; Yoshida, Y; Buschmann, M; Deutscher, Nm; Feist, Dg; Griffith, Dwt; Hase, F; Kivi, R; Liu, C; Morino, I; Notholt, J; Oh, Y; Ohyama, H; Petri, C; Pollard, Df; Rettinger, M; Roehl, C; Rousogenous, C; Kumar Sha, M; Shiomi, K; Strong, K; Sussmann, R; Té, Y; Velazco, Va; Vrekoussis, M; Warneke, T Articolo su rivista
1-gen-2019 Retrieval of liquid water cloud properties from POLDER-3 measurements using a neural network ensemble approach Di Noia, A; Hasekamp, Op; Van Diedenhoven, B; Zhang, Z Articolo su rivista
1-gen-2015 Space-based remote sensing of atmospheric aerosols: the multi-angle spectro-polarimetric frontier Kokhanovsky, Aa; Davis, Ab; Cairns, B; Dubovik, O; Hasekamp, Op; Sano, I; Mukai, S; Rozanov, Vv; Litvinov, P; Lapyonok, T; Kolomiets, Is; Oberemok, Ya; Savenkov, S; Martin, W; Wasilewski, A; Di Noia, A; Stap, Fa; Rietjens, J; Xu, F; Natraj, V; Duan, M; Cheng, T; Munro, R Articolo su rivista