M
Marouane Temimi
Researcher at Stevens Institute of Technology
Publications - 126
Citations - 2539
Marouane Temimi is an academic researcher from Stevens Institute of Technology. The author has contributed to research in topics: Weather Research and Forecasting Model & Water content. The author has an hindex of 25, co-authored 115 publications receiving 1742 citations. Previous affiliations of Marouane Temimi include City College of New York & Masdar Institute of Science and Technology.
Papers
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Journal ArticleDOI
A Review of High Impact Weather for Aviation Meteorology
Ismail Gultepe,Robert Sharman,Paul Williams,Binbin Zhou,Gary P. Ellrod,Patrick Minnis,Stanley B. Trier,Sarah M. Griffin,Seong Soo Yum,Bahram Gharabaghi,Wayne F. Feltz,Marouane Temimi,Zhaoxia Pu,Luke N. Storer,Philipp Kneringer,Michael Weston,Hui-ya Chuang,Ludovic Thobois,A. P. Dimri,Sebastian J. Dietz,Gutemberg Borges França,Manoel Valdonel de Almeida,F. L. Albquerque Neto +22 more
TL;DR: In this paper, the authors summarized current knowledge available for aviation operations related to meteorology and provided suggestions for necessary improvements in the measurement and prediction of weather-related parameters, new physical methods for numerical weather predictions (NWP), and next-generation integrated systems.
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Exploring the Potential of Optical Remote Sensing for Oil Spill Detection in Shallow Coastal Waters--A Case Study in the Arabian Gulf
TL;DR: The synergistic use of satellite observations and hydrodynamic modeling is recommended for establishing an early warning and decision support system for oil pollution response.
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Multi-Criteria Evaluation of Irrigated Agriculture Suitability to Achieve Food Security in an Arid Environment
TL;DR: In this paper, the authors aim at assessing land suitability for large-scale agriculture using multiple spatial datasets which include climate conditions, water potential, soil capabilities, topography and land management.
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Assessment of the consistency among global precipitation products over the United Arab Emirates
TL;DR: In this paper, the authors cross-validated and analyzed the consistency of four global precipitation products from the GPCC, TRMM, WM, and CMORPH datasets over the United Arab Emirates (UAE) using a network of 53 rain gauges from 2000 to 2010.
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Sensitivity of the meteorological model WRF-ARW to planetary boundary layer schemes during fog conditions in a coastal arid region
TL;DR: In this paper, the authors compare seven different PBL schemes in the United Arab Emirates (UAE) and assess their impact on the performance of the simulations and show that local PBL scheme showed better performance than non-local schemes.