Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yasir H. Kaheil"'
Autor:
Luciana Fenoglio, Damien Brunel, Faisal Hossain, Alice Andral, S. Jayasinghe, Margaret Srinivasan, Jerad Bales, Nicholas Elmer, Bareerah Fatima, Matt Bonnema, Sébastien Legrand, Edward Beighley, Bradley Doorn, Fabien Lefevre, Indu Jayaluxmi, Yasir H. Kaheil, Pierre-Yves Le Traon
Publikováno v:
Bulletin of the American Meteorological Society. 101:E259-E264
Autor:
Chiara Lepore, Andreas Muehlbauer, John T. Allen, Yasir H. Kaheil, Shangyao Nong, Adam H. Sobel, Michael K. Tippett
Publikováno v:
Monthly Weather Review. 145:4501-4519
The spatial distribution of return intervals for U.S. hail size is explored within the framework of extreme value theory using observations from the period 1979–2013. The center of the continent has experienced hail in excess of 5 in. (127 mm) duri
Publikováno v:
Risk Analysis. 36:57-73
Multivariate simulations of a set of random variables are often needed for risk analysis. Given a historical data set, the goal is to develop simulations that reproduce the dependence structure in that data set so that the risk of potentially correla
Autor:
Jessica Hausman, Abhijit Mukherjee, Cheryl Ann Blain, Gregg A. Jacobs, Colin J. Gleason, Sophie Ricci, Guy Schumann, Eric Trehubenko, Lee-Lueng Fu, Subimal Ghosh, Li Li, Adrien Paris, Faisal Hossain, Cédric H. David, S. Cherchali, Margaret Srinivasan, Subhrendu Gangopadhay, Craig Peterson, C. D. Frans, Charon Birkett, Robert R. Mason, Bradley Doorn, Anthony L. Nguy-Robertson, S. R. Shrestha, Yasir H. Kaheil, Benoit Laignel, John W. Fulton, Pierre-Yves Le Traon, Edward Beighley, Fabien Lefevre, Eric Anderson, Amita Mehta, Jorge Escurra, Tamlin M. Pavelsky, Alice Andral, Marielle Gosset, Rashied Amini, Patrick Le Moigne, David M. Bjerklie, John W. Jones, Nicolas Picot
Publikováno v:
Bulletin of the American Meteorological Society
Bulletin of the American Meteorological Society, 2017, 98 (11), pp.ES285-ES290. ⟨10.1175/BAMS-D-17-0161.1⟩
Bulletin of the American Meteorological Society, American Meteorological Society, 2017, 98 (11), pp.ES285-ES290. ⟨10.1175/BAMS-D-17-0161.1⟩
Bulletin of the American Meteorological Society, 2017, 98 (11), pp.ES285-ES290. ⟨10.1175/BAMS-D-17-0161.1⟩
Bulletin of the American Meteorological Society, American Meteorological Society, 2017, 98 (11), pp.ES285-ES290. ⟨10.1175/BAMS-D-17-0161.1⟩
Scheduled for launch in 2021, the Surface Water and Ocean Topography (SWOT) mission will be a truly unique mission that will provide high-temporal-frequency maps of surface water extents and elevation variations of global water bodies (lakes/reservoi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3215d0150002aa20c929aec1279a36c8
Publikováno v:
Climatic Change. 118:307-320
An analysis procedure is developed to explore the robustness and overall productivity of reservoir management under plausible assumptions about climate fluctuation and change. Results are presented based on a stylized version of a multi-use reservoir
Autor:
Enrique Rosero, Yasir H. Kaheil, Luis Gustavo Gonçalves de Gonçalves, Guo Yue Niu, Lindsey E. Gulden, Zong-Liang Yang
Publikováno v:
Journal of Hydrometeorology. 12:45-64
The ability of two versions of the Noah land surface model (LSM) to simulate the water cycle of the Little Washita River experimental watershed is evaluated. One version that uses the standard hydrological parameterizations of Noah 2.7 (STD) is compa
Publikováno v:
Hydrological Sciences Journal. 55:333-350
Weather-state models have been shown to be effective in downscaling the synoptic atmospheric information to local daily precipitation patterns. We explore the ability of non-homogeneous hidden Markov models (NHMM) to downscale regional seasonal clima
Publikováno v:
Soil Science Society of America Journal. 73:1157-1167
Soil respiration (Rs) is an important source of CO 2 to the atmosphere, yet understanding the processes controlling the combined autotrophic and heterotrophic components has proven challenging. Numerous statistical models have been developed to expla
Autor:
Irena F. Creed, Yasir H. Kaheil
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 6:179-183
This letter presents an approach to classify wet areas from European Remote Sensing 2 (ERS-2) synthetic aperture radar (SAR)-, Landsat Thematic Mapper (TM)-, and Light Detection and Ranging (LiDAR)-derived terrain data and downscale the result from t
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 46:2692-2707
Providing reliable forecasts of evapotranspiration (ET) at farm level is a key element toward efficient water management in irrigated basins. This paper presents an algorithm that provides a means to downscale and forecast dependent variables such as