Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Mohammed Ombadi"'
Autor:
Alan M. Rhoades, Colin M. Zarzycki, Héctor A. Inda‐Diaz, Mohammed Ombadi, Ulysse Pasquier, Abhishekh Srivastava, Benjamin J. Hatchett, Eli Dennis, Anne Heggli, Rachel McCrary, Seth McGinnis, Stefan Rahimi‐Esfarjani, Emily Slinskey, Paul A. Ullrich, Michael Wehner, Andrew D. Jones
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 10, Pp n/a-n/a (2023)
Abstract The 1997 New Year's flood event was the most costly in California's history. This compound extreme event was driven by a category 5 atmospheric river that led to widespread snowmelt. Extreme precipitation, snowmelt, and saturated soils produ
Externí odkaz:
https://doaj.org/article/e29b384d61e849128a2b3c5114000a84
Autor:
Mohammed Ombadi, Mark D. Risser
Publikováno v:
Weather and Climate Extremes, Vol 38, Iss , Pp 100515- (2022)
Several studies have recently shown that rapid changes in temperature are linked to higher mortality and hospitalization rates, increased risk of respiratory epidemics and lower economic growth. Here, we present the first continental-scale analysis o
Externí odkaz:
https://doaj.org/article/99d52f369fdf485488a2f1f22637b63c
Autor:
Charuleka Varadharajan, Alison P. Appling, Bhavna Arora, Danielle S. Christianson, Valerie C. Hendrix, Vipin Kumar, Aranildo R. Lima, Juliane Müller, Samantha Oliver, Mohammed Ombadi, Talita Perciano, Jeffrey M Sadler, Helen Weierbach, Jared D. Willard, Zexuan Xu, Jacob Zwart
Publikováno v:
Hydrological Processes, vol 36, iss 4
The global decline of water quality in rivers and streams has resulted in a pressing need to design new watershed management strategies. Water quality can be affected by multiple stressors including population growth, land use change, global warming,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d84d1fee57bc1f3874beb41278144ffb
https://escholarship.org/uc/item/9m7568rs
https://escholarship.org/uc/item/9m7568rs
Publikováno v:
Journal of Hydrometeorology. 22:217-229
The Nile River basin is one of the global hotspots vulnerable to climate change impacts because of a fast-growing population and geopolitical tensions. Previous studies demonstrated that general circulation models (GCMs) frequently show disagreement
Autor:
E. J. Shearer, Soroosh Sorooshian, Phu Nguyen, Kuolin Hsu, Vesta Afzali Gorooh, David T. Bolvin, Mohammed Ombadi, Martin F. Ralph, Mojtaba Sadeghi
Publikováno v:
Journal of hydrometeorology, vol 21, iss 12
J Hydrometeorol
J Hydrometeorol
This study presents the Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Dynamic Infrared Rain Rate (PDIR-Now) near-real-time precipitation dataset. This dataset provides hourly, quasi-global, infrared-base
Autor:
E. J. Shearer, Mohammed Ombadi, Marty Ralph, Phu Nguyen, Kuolin Hsu, Soroosh Sorooshian, W. S. Logan, Vesta Afzali Gorooh
Publikováno v:
Bulletin of the American Meteorological Society. 101:389-394
Autor:
W. S. Logan, Mohammed Ombadi, Marty Ralph, E. J. Shearer, Kuolin Hsu, Vesta Afzali Gorooh, Phu Nguyen, Soroosh Sorooshian
Publikováno v:
Bulletin of the American Meteorological Society. 101:E286-E302
Precipitation measurements with high spatiotemporal resolution are a vital input for hydrometeorological and water resources studies; decision-making in disaster management; and weather, climate, and hydrological forecasting. Moreover, real-time prec
Autor:
Konstantinos M. Andreadis, Soroosh Sorooshian, Phu Nguyen, Mohammed Ombadi, Kuolin Hsu, Hoang Tran
Publikováno v:
Journal of Hydrometeorology. 20:2203-2214
Flood mapping from satellites provides large-scale observations of flood events, but cloud obstruction in satellite optical sensors limits its practical usability. In this study, we implemented the Variational Interpolation (VI) algorithm to remove c
Publikováno v:
Water Research. 220:118664
Salinity is an important water quality parameter that affects ecosystem health and the use of freshwaters for industrial, agricultural, and other beneficial purposes. Although a number of studies have investigated the variability and trends of salini
Autor:
Andrea Thorstensen, Hamed Ashouri, Dan Braithwaite, Mohammed Ombadi, Amir AghaKouchak, Soroosh Sorooshian, Phu Nguyen, Kuolin Hsu
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 5801-5816 (2018)
Over the past 2 decades, a wide range of studies have incorporated Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) products. Currently, PERSIANN offers several precipitation products based on diff