Marouan Bouali

Pós-doutorado

Idiomas

Áreas de atuação

Produções bibliográficas

• VAZQUEZ-CUERVO, JORGE ; GENTEMANN, CHELLE ; TANG, WENQING ; CARROLL, DUSTIN ; ZHANG, HONG ; MENEMENLIS, DIMITRIS ; GOMEZ-VALDES, JOSE ; BOUALI, MAROUAN ; STEELE, MICHAEL . Using Saildrones to Validate Arctic Sea-Surface Salinity from the SMAP Satellite and from Ocean Models. Remote Sensing , v. 13, p. 831, 2021.

• PEREIRA, F. ; BOUALI, M. ; POLITO, P. S. ; DA SILVEIRA, I. C. A. ; CANDELLA, R. N. . Discrepancies between satellite-derived and in situ SST data in the Cape Frio Upwelling System, Southeastern Brazil (23-S). Remote Sensing Letters , v. 11, p. 555-562, 2020.

• BOUALI, M. ; POLITO, P. S. ; SATO, O. T. ; BERNARDO, P. S. ; VAZQUEZ-CUERVO, J. . The impact of cloud masking on the climatology of sea surface temperature gradients. Remote Sensing Letters , v. 11, p. 1110-1117, 2020.

• VAZQUEZ-CUERVO, JORGE ; GOMEZ-VALDES, JOSE ; BOUALI, MAROUAN . Comparison of Satellite-Derived Sea Surface Temperature and Sea Surface Salinity Gradients Using the Saildrone California/Baja and North Atlantic Gulf Stream Deployments. Remote Sensing , v. 12, p. 1839, 2020.

• VAZQUEZ-CUERVO, JORGE ; GOMEZ-VALDES, JOSE ; BOUALI, MAROUAN ; MIRANDA, LUIS ; VAN DER STOCKEN, TOM ; TANG, WENQING ; GENTEMANN, CHELLE . Using Saildrones to Validate Satellite-Derived Sea Surface Salinity and Sea Surface Temperature along the California/Baja Coast. Remote Sensing , v. 11, p. 1964, 2019.

• O?CARROLL, ANNE G. ARMSTRONG, EDWARD M. BEGGS, HELEN M. BOUALI, MAROUAN CASEY, KENNETH S. CORLETT, GARY K. DASH, PRASANJIT DONLON, CRAIG J. GENTEMANN, CHELLE L. HYER, JACOB L. IGNATOV, ALEXANDER KABOBAH, KAMILA KACHI, MISAKO KURIHARA, YUKIO KARAGALI, IOANNA MATURI, EILEEN MERCHANT, CHRISTOPHER J. MARULLO, SALVATORE MINNETT, PETER J. PENNYBACKER, MATTHEW RAMAKRISHNAN, BALAJI RAMSANKARAN, RAAJ SANTOLERI, ROSALIA SUNDER, SWATHY SAUX PICART, STÉPHANE , et al. VÁZQUEZ-CUERVO, JORGE WIMMER, WERENFRID ; Observational Needs of Sea Surface Temperature. FRONTIERS IN MARINE SCIENCE , v. 6, p. na, 2019.

• BOUALI, M. ; POLITO, P. S. ; SATO, O. T. ; VAZQUEZ-CUERVO, J. . On the use of NLSST and MCSST for the study of spatio-temporal trends in SST gradients. Remote Sensing Letters , v. 10, p. 1163-1171, 2019.

• BOUALI, MAROUAN ; SATO, OLGA T. ; POLITO, PAULO S. . Temporal trends in sea surface temperature gradients in the South Atlantic Ocean. REMOTE SENSING OF ENVIRONMENT , v. 194, p. 100-114, 2017.

• BOUALI, M. ; SATO, O. ; POLITO, P. . An algorithm to improve the detection of ocean fronts from whiskbroom scanner images. Remote Sensing Letters , v. 6, p. 942-951, 2015.

• BOUALI, MAROUAN ; IGNATOV, ALEXANDER . Adaptive Reduction of Striping for Improved Sea Surface Temperature Imagery from ( ) Visible Infrared Imaging Radiometer Suite (VIIRS). JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY , v. 31, p. 150-163, 2014.

• MIKELSONS, KARLIS ; WANG, MENGHUA ; JIANG, LIDE ; BOUALI, MAROUAN . Destriping algorithm for improved satellite-derived ocean color product imagery. OPTICS EXPRESS , v. 22, p. 28058, 2014.

• BOUALI, MAROUAN . Estimation of Detector Biases in MODIS Thermal Emissive Bands. IEEE Transactions on Geoscience and Remote Sensing , v. 51, p. 4339-4348, 2013.

• BOUALI, MAROUAN ; LADJAL, SAÏD . Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model. IEEE Transactions on Geoscience and Remote Sensing , v. 49, p. 2924-2935, 2011.

• MIKELSONS, KARLIS ; IGNATOV, ALEXANDER ; BOUALI, MAROUAN ; KIHAI, YURY . A fast and robust implementation of the adaptive destriping algorithm for SNPP VIIRS and Terra/Aqua MODIS SST. In: SPIE Defense + Security, 2015, Baltimore, 2015. p. 94590R.

• BOUALI, MAROUAN ; IGNATOV, ALEXANDER . A comparative study of stripe noise on MODIS and VIIRS thermal emissive bands. In: SPIE Optical Engineering + Applications, 2012, San Diego, 2012. p. 85100O.

• BOUALI, M. ; SATO, O. T. ; POLITO, P. S. . Trends in SST submesoscale gradients in the South Atlantic Ocean using Terra and Aqua MODIS data. 2016. (Apresentação de Trabalho/Conferência ou palestra).

• BOUALI, M. ; SATO, O. T. ; POLITO, P. S. . Estatísticas espaço-temporais dos gradientes de TSM no Oceano Atlântico Sul. 2016. (Apresentação de Trabalho/Seminário).

• BOUALI, M. ; SATO, O. T. ; POLITO, P. S. . Seasonal and Interannual Variability of Biophysical Submesoscale Fronts in the South Atlantic Ocean. 2015. (Apresentação de Trabalho/Conferência ou palestra).

• BOUALI, M. ; SATO, O. T. ; POLITO, P. S. . Spatial and temporal statistics of Sea Surface Temperature submesoscale gradients in the region of Cape Frio. 2015. (Apresentação de Trabalho/Simpósio).

• BOUALI, M. . Detection of ocean submesoscale fronts from high resolution satellite imagery. 2014. (Apresentação de Trabalho/Seminário).

• BOUALI, M. ; IGNATOV, ALEXANDER . Destriping of MODIS/VIIRS SST Imagery. 2013. (Apresentação de Trabalho/Outra).

• BOUALI, M. ; IGNATOV, ALEXANDER . Towards Improved ACSPO SST Imagery. 2013. (Apresentação de Trabalho/Conferência ou palestra).

• BOUALI, M. ; IGNATOV, ALEXANDER . Reduction of stripe noise for improved ACSPO SST. 2013. (Apresentação de Trabalho/Conferência ou palestra).

• BOUALI, M. ; IGNATOV, ALEXANDER . Mitigation of striping in ACSPO clear-sky radiances and SST products. 2013. (Apresentação de Trabalho/Conferência ou palestra).

• BOUALI, M. ; IGNATOV, ALEXANDER . Quantication and reduction of striping on MODIS/VIIRS top of atmosphere clear-sky radiances and derived products. 2012. (Apresentação de Trabalho/Congresso).

• BOUALI, M. ; IGNATOV, ALEXANDER . A comparative study of stripe noise in MODIS and VIIRS thermal emissive bands. 2012. (Apresentação de Trabalho/Conferência ou palestra).

• BOUALI, M. ; LADJAL, S. . A Simple and Robust Destriping Algorithm for Imaging Spectroradiometers: Application to MODIS data. 2010. (Apresentação de Trabalho/Conferência ou palestra).

• BOUALI, M. ; LADJAL, SAÏD . A Variational Approach for the Destriping of MODIS data. 2010. (Apresentação de Trabalho/Simpósio).

Projetos de pesquisa

• 2017 - 2021

  Estimation of high resolution Sea Surface Temperature (SST) fields using multi-sensor satellite observations, Descrição: Accurate estimation of Sea Surface Temperature (SST) from satellite observations plays a pivotal role in a variety of applications. Ocean and atmospheric models as well as numerical weather prediction systematically use as input, gap free SST fields derived from SST analysis techniques. Most SST analysis currently run by oceanographic and meteorological operational agencies rely on the seminal Optimum Interpolation (OI) technique. Despite its robust statistical foundation, OI suffers from many limitations that lead to level 4 SST fields with significant amounts of blur. Consequently, SST analysis based on OI schemes are unable to capture ocean small scale structures that are typically seen in high resolution level 2 SST imagery derived from infrared satellite instruments. Given the growing importance of sub-mesoscale processes in the study of ocean dynamics and its interaction with the atmosphere, innovative research is needed to estimate high resolution gap free SST from multiple satellite missions, without any of the limitations of OI. In this project, we aim to develop a new SST analysis methodology able to produce SST fields that are both statistically accurate and geometrically consistent, i.e., able to preserve ocean small scale features.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Marouan Bouali - Coordenador / Paulo Simionatto Polito - Integrante / Olga Tiemi Sato - Integrante., Financiador(es): Fundação de Amparo à Pesquisa do Estado de São Paulo - Bolsa.

• 2011 - 2017

  Impact of the Southwestern Atlantic Ocean on South American climate for the 20th and 21st centuries, Descrição: A better understanding of coupled atmosphere-ocean interactions has long been recognized as having the most potential to improve prediction climate and weather. The role of these interactions in the Southwestern Atlantic Ocean (SAO), however, is not well understood. The SAO is the birthplace of cyclones, cold fronts passage and blocking activity. Further study is required to understand how the SAO impacts the climate over South America and particularly over Brazil considering that the ocean/atmosphere variability has the potential to have climate and (by extension) societal impacts which indicates the need for adaptation and mitigation. The main objective of this research project is to understand the South American climate variability in the present day with atmospheric and oceanographic observational data analysis and analyze future climate scenarios using data from Global Circulation Models and dynamical downscaling simulations through Regional Climate Models (RCMs). As part of its observational component, an array of buoys will be deployed in the SAO. The lack of data, and in particular surface observations, has been an enormous obstacle to a better understanding of the influence of this region on the climate of Brazil. In parallel, surface properties will be monitored via satellite and compared to in-situ observations, and historical data will be analyzed. Also, numerical experiments will be utilized to test hypotheses of the SAO influence on climate change over Brazil.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Marouan Bouali - Coordenador / Paulo Simionatto Polito - Integrante / Olga Tiemi Sato - Integrante / Tércio Ambrizzi - Integrante / Ilana Elazari Klein Coaracy Wainer - Integrante / Ilson Carlos Almeida da Silveira - Integrante / Belmiro Mendes de Castro Filho - Integrante / Edmo J. D. Campos - Integrante.

• 2011 - Atual

  Joint Polar Satellite System (JPSS) SST Project, Descrição: The Joint Polar Satellite System (JPSS) is the Nation's new generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between the National Oceanic and Atmospheric Administration (NOAA) and its acquisition agent, National Aeronautics and Space Administration (NASA). This interagency effort (JPSS) is the latest generation of U.S. polar-orbiting, non-geosynchronous environmental satellites. JPSS was established in the President's Fiscal Year 2011 budget request (February 2010) as the civilian successor to the restructured National Polar-orbiting Operational Environmental Satellite System (NPOESS). As the backbone of the global observing system, JPSS polar satellites circle the Earth from pole-to-pole and cross the equator about 14 times daily in the afternoon orbit?providing full global coverage twice a day. Satellites in the JPSS constellation gather global measurements of atmospheric, terrestrial and oceanic conditions, including sea and land surface temperatures, vegetation, clouds, rainfall, snow and ice cover, fire locations and smoke plumes, atmospheric temperature, water vapor and ozone. JPSS delivers key observations for the Nation's essential products and services, including forecasting severe weather like hurricanes, tornadoes and blizzards days in advance, and assessing environmental hazards such as droughts, forest fires, poor air quality and harmful coastal waters. Further, JPSS will provide continuity of critical, global Earth observations? including our atmosphere, oceans and land through 2038. NOAA, an agency within the Department of Commerce (DOC), works in partnership with NASA on all JPSS missions, ensuring a continuous series of global weather data and increased accurate weather prediction? securing a more "Weather-Ready Nation.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Marouan Bouali - Integrante / IGNATOV, ALEXANDER - Coordenador.

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