Zobrazeno 1 - 10
of 34
pro vyhledávání: '"S. Madadgar"'
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 34:2023-2031
Warming temperatures and severe droughts have contributed to increasing fire activity in California. Decadal average summer temperature in California has increased by 0.8 °C during 1984–2014, while the decadal total size of large fires has expande
Publikováno v:
Geophysical Research Letters. 44:7799-7807
Increases in the severity and frequency of drought in a warming climate may negatively impact agricultural production and food security. Unlike previous studies that have estimated agricultural impacts of climate condition using single-crop yield dis
Autor:
Steve Burian, Roger A. PielkeSr., Ji Chen, Jeffrey R. Arnold, Edward Beighley, Dave Wegner, Casey Brown, Faisal Hossain, S. Madadgar, Dev Niyogi, Anindita Mitra, Vincent C. Tidwell
Publikováno v:
Resilience of Large Water Management Infrastructure ISBN: 9783030264314
This chapter presents a compilation of work conducted by the ASCE Task Committee ‘Infrastructure Impacts of Landscape-driven Weather Change’ under the ASCE Watershed Management Technical Committee and the ASCE Hydroclimate Technical Committee. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::731e6d986d5041f50f47f2391e5fb7ee
https://doi.org/10.1007/978-3-030-26432-1_1
https://doi.org/10.1007/978-3-030-26432-1_1
Akademický článek
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Autor:
Shraddhanand Shukla, Linyin Cheng, Mark Svoboda, Amir AghaKouchak, S. Madadgar, Andrew W. Wood, Kou Lin Hsu
Publikováno v:
Water Resources Research. 52:5095-5110
Improving water management in water stressed-regions requires reliable seasonal precipitation predication, which remains a grand challenge. Numerous statistical and dynamical model simulations have been developed for predicting precipitation. However
Autor:
S. Madadgar, Hamid Moradkhani
Publikováno v:
Handbook of Drought and Water Scarcity ISBN: 9781315404219
Copula functions are a group of multivariate distribution functions that join the marginal distribution of multiple variables. They have been used in different fields of science and engineering during the past decades. The main advantage of copulas o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39560cdda4d7fe26d376d22560f80069
https://doi.org/10.1201/9781315404219-26
https://doi.org/10.1201/9781315404219-26
Autor:
S. Madadgar, Hamid Moradkhani
Publikováno v:
Journal of Hydrology. 512:134-146
Summary Spatial variations of future droughts across the Gunnison River Basin in CO, USA, are evaluated in this study, using a recently developed probabilistic forecast model. The Standardized Runoff Index (SRI) is employed to analyze drought status
Autor:
Hamid Moradkhani, S. Madadgar
Publikováno v:
Journal of Hydrometeorology. 14:1685-1705
Seasonal drought forecasting is presented within a multivariate probabilistic framework. The standardized streamflow index (SSI) is used to characterize hydrologic droughts with different severities across the Gunnison River basin in the upper Colora
Autor:
Hamid Moradkhani, S. Madadgar
Publikováno v:
Journal of Hydrologic Engineering. 18:746-759
The joint behavior of drought characteristics under climate change is evaluated using the copula method, which has recently attained popularity in the analysis of complex hydrologic systems with correlated variables. Trivariate copulas are applied, i
Publikováno v:
Hydrological Processes. 28:104-122
Forecast ensembles of hydrological and hydrometeorologial variables are prone to various uncertainties arising from climatology, model structure and parameters, and initial conditions at the forecast date. Post-processing methods are usually applied