Giulia Luciani
National Research Council
6 Papers
25 Citations
Giulia Luciani is an academic researcher from National Research Council. The author has contributed to research in topics: Atmospheric model & Climate change. The author has an hindex of 3, co-authored 6 publications.
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Papers
The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake
Mariano Bresciani,Monica Pinardi,Gary Free,Giulia Luciani,Semhar Ghebrehiwot,Marnix Laanen,Steef Peters,Valentina Della Bella,Rosalba Padula,Claudia Giardino +9 more
TL;DR: In this article, high frequency chlorophyll-a data from the WISPstation was modeled using non-parametric multiplicative regression to increase knowledge of phytoplankton dynamics at different temporal and spatial scales.
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Multi-scale evaluation of a 3D lake model forced by an atmospheric model against standard monitoring data
Marina Amadori,Marina Amadori,Lorenzo Giovannini,Marco Toffolon,Sebastiano Piccolroaz,Sebastiano Piccolroaz,Dino Zardi,Mariano Bresciani,Claudia Giardino,Giulia Luciani,M. A. Kliphuis,Hans van Haren,Henk A. Dijkstra +12 more
TL;DR: In this article, the authors discuss how to assess the performance of a model at multiple scales (in time and space) with data from standard monitoring systems, i.e., mostly limited to water temperature.
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Detecting Climate Driven Changes in Chlorophyll-a in Deep Subalpine Lakes Using Long Term Satellite Data
Gary Free,Mariano Bresciani,Monica Pinardi,Nicola Ghirardi,Giulia Luciani,Rossana Caroni,Claudia Giardino +6 more
TL;DR: In this paper, nonparametric multiplicative regression (NPMR) was used to visualize and understand the changes that have occurred between 2003-2018 in Lakes Garda, Como, Iseo, and Maggiore.
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Synergistic Use of Synthetic Aperture Radar and Optical Imagery to Monitor Surface Accumulation of Cyanobacteria in the Curonian Lagoon
Francesca De Santi,Giulia Luciani,Mariano Bresciani,Claudia Giardino,Francesco P. Lovergine,Guido Pasquariello,Diana Vaiciute,Giacomo De Carolis +7 more
TL;DR: In this paper, the use of synthetic aperture radar (SAR) images can compensate for the weaknesses of optical images for cyanobacteria bloom monitoring purposes in the event of cloudy skies.
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