P
Panagiotis Kokkalis
Researcher at Kuwait University
Publications - 41
Citations - 1347
Panagiotis Kokkalis is an academic researcher from Kuwait University. The author has contributed to research in topics: Aerosol & Lidar. The author has an hindex of 17, co-authored 38 publications receiving 1107 citations. Previous affiliations of Panagiotis Kokkalis include National Technical University of Athens.
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Journal ArticleDOI
Sun-induced fluorescence - a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant.
Uwe Rascher,Luis Alonso,Andreas Burkart,C Cilia,C Cilia,Sergio Cogliati,Roberto Colombo,Alexander Damm,Matthias Drusch,Luis Guanter,Jan Hanuš,Timo Hyvärinen,Tommaso Julitta,Jouni Jussila,Kari Kataja,Panagiotis Kokkalis,S. Kraft,Thorsten Kraska,M. Matveeva,Jose Moreno,Onno Muller,Cinzia Panigada,Miroslav Pikl,Francisco de Assis de Carvalho Pinto,Lukas Prey,Ralf Pude,Micol Rossini,Anke Schickling,Ulrich Schurr,Dirk Schüttemeyer,Jochem Verrelst,František Zemek +31 more
TL;DR: The first validated maps of sun-induced fluorescence in that critical, intermediate spatial resolution are presented, employing the novel airborne imaging spectrometer HyPlant, which allows for the first time quantifying sun- induced fluorescence fluxes in physical units according to the Fraunhofer Line Depth Principle.
Journal ArticleDOI
Red and far red Sun‐induced chlorophyll fluorescence as a measure of plant photosynthesis
Micol Rossini,Ladislav Nedbal,Luis Guanter,A. Ač,Luis Alonso,Andreas Burkart,Sergio Cogliati,Roberto Colombo,Alexander Damm,Matthias Drusch,Jan Hanuš,R. Janoutova,Tommaso Julitta,Panagiotis Kokkalis,J. Moreno,Jan Novotny,Cinzia Panigada,Francisco de Assis de Carvalho Pinto,Anke Schickling,Dirk Schüttemeyer,František Zemek,Uwe Rascher +21 more
TL;DR: In this paper, the two peaks of the chlorophyll fluorescence spectrum can be accurately mapped from high-resolution radiance spectra and the signal is linked to variations in actual photosynthetic efficiency.
Journal ArticleDOI
LIVAS: a 3-D multi-wavelength aerosol/cloud database based on CALIPSO and EARLINET
Vassilis Amiridis,Eleni Marinou,Alexandra Tsekeri,Ulla Wandinger,Anja Schwarz,E. Giannakaki,Rodanthi-Elisavet Mamouri,Panagiotis Kokkalis,Ioannis Binietoglou,Stavros Solomos,T. Herekakis,Stelios Kazadzis,Evangelos Gerasopoulos,Emmanouil Proestakis,Michael Kottas,Dimitris Balis,A. Papayannis,Charalampos Kontoes,Kostas Kourtidis,Nikolaos Papagiannopoulos,Lucia Mona,Gelsomina Pappalardo,O. Le Rille,Albert Ansmann +23 more
TL;DR: The LIVAS database as mentioned in this paper provides averaged profiles of aerosol optical properties for the potential spaceborne laser operating wavelengths of 355, 532, 1064, 1570 and 2050 nm and of cloud optical properties at the wavelength of 532 nm.
Journal ArticleDOI
Three-year ground based measurements of aerosol optical depth over the Eastern Mediterranean: the urban environment of Athens
Evangelos Gerasopoulos,Vassilis Amiridis,Stelios Kazadzis,Panagiotis Kokkalis,Kostas Eleftheratos,Kostas Eleftheratos,Meinrat O. Andreae,T. W. Andreae,Hesham El-Askary,Hesham El-Askary,Christos Zerefos,Christos Zerefos +11 more
TL;DR: In this article, three years (2006-2008) of ground-based observations of the Aerosol Optical Depth (AOD) in the urban environment of Athens, in the Eastern Mediterranean, are analyzed.
Journal ArticleDOI
A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals
Ioannis Binietoglou,Sara Basart,Lucas Alados-Arboledas,Vassilis Amiridis,Athina Argyrouli,Holger Baars,José María Baldasano,Dimitris Balis,Livio Belegante,Juan Antonio Bravo-Aranda,Pasquale Burlizzi,Víctor M. S. Carrasco,Anatoli Chaikovsky,Adolfo Comerón,Giuseppe D'Amico,Maria Filioglou,María José Granados-Muñoz,Juan Luis Guerrero-Rascado,Luka Ilić,Panagiotis Kokkalis,Alberto Maurizi,Lucia Mona,F. Monti,Constantino Muñoz-Porcar,Doina Nicolae,Alexandros Papayannis,Gelsomina Pappalardo,Goran Pejanovic,Sergio Pereira,Maria Rita Perrone,Aleksander Pietruczuk,Michał Posyniak,Francesc Rocadenbosch,Alejandro Rodríguez-Gómez,Michaël Sicard,Nikolaos Siomos,Artur Szkop,Enric Terradellas,Alexandra Tsekeri,Ana Vukovic,Ulla Wandinger,J. Wagner +41 more
Abstract: . Systematic measurements of dust concentration profiles at a continental scale were recently made possible by the development of synergistic retrieval algorithms using combined lidar and sun photometer data and the establishment of robust remote-sensing networks in the framework of Aerosols, Clouds, and Trace gases Research InfraStructure Network (ACTRIS)/European Aerosol Research Lidar Network (EARLINET). We present a methodology for using these capabilities as a tool for examining the performance of dust transport models. The methodology includes considerations for the selection of a suitable data set and appropriate metrics for the exploration of the results. The approach is demonstrated for four regional dust transport models (BSC-DREAM8b v2, NMMB/BSC-DUST, DREAMABOL, DREAM8-NMME-MACC) using dust observations performed at 10 ACTRIS/EARLINET stations. The observations, which include coincident multi-wavelength lidar and sun photometer measurements, were processed with the Lidar-Radiometer Inversion Code (LIRIC) to retrieve aerosol concentration profiles. The methodology proposed here shows advantages when compared to traditional evaluation techniques that utilize separately the available measurements such as separating the contribution of dust from other aerosol types on the lidar profiles and avoiding model assumptions related to the conversion of concentration fields to aerosol extinction values. When compared to LIRIC retrievals, the simulated dust vertical structures were found to be in good agreement for all models with correlation values between 0.5 and 0.7 in the 1–6 km range, where most dust is typically observed. The absolute dust concentration was typically underestimated with mean bias values of -40 to -20 μg m−3 at 2 km, the altitude of maximum mean concentration. The reported differences among the models found in this comparison indicate the benefit of the systematic use of the proposed approach in future dust model evaluation studies.