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Tapash Das

Researcher at Scripps Institution of Oceanography

Publications -  41
Citations -  5585

Tapash Das is an academic researcher from Scripps Institution of Oceanography. The author has contributed to research in topics: Climate change & Climate model. The author has an hindex of 24, co-authored 41 publications receiving 5071 citations. Previous affiliations of Tapash Das include University of California, San Diego & National Oceanic and Atmospheric Administration.

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Human-Induced Changes in the Hydrology of the Western United States

TL;DR: A regional, multivariable climate change detection and attribution study, using a high-resolution hydrologic model forced by global climate models, focusing on the changes that have already affected this primarily arid region with a large and growing population.
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Atmospheric Rivers, Floods and the Water Resources of California

TL;DR: In this paper, the authors show that California experiences unusually large variations in annual precipitation and streamflow relative to the rest of the US, variations which mostly reflect the unusually small average number of wet days per year needed to accumulate most of its annual precipitation totals.
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Future dryness in the Southwest US and the hydrology of the early 21st century drought

TL;DR: Hydrological model runs from downscaled Intergovernmental Panel on Climate Change Fourth Assessment climate change simulations suggest that the region is likely to become drier and experience more severe droughts than this, and sustaining water supplies in parts of the Southwest will be a challenge.
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The utility of daily large-scale climate data in the assessment of climate change impacts on daily streamflow in California

TL;DR: In this article, three statistical downscaling methods were applied to NCEP/NCAR reanalysis (used as a surrogate for the best possible general circulation model), and the downscaled meteorology was used to drive a hydrologic model over California.
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Detection and Attribution of Streamflow Timing Changes to Climate Change in the Western United States

TL;DR: In this article, the authors apply formal detection and attribution techniques to investigate the nature of observed shifts in the timing of streamflow in the western United States, which manifest themselves in the form of more rain and less snow, in reductions in the snow water contents, and in earlier snowmelt and associated advances in streamflow "center" timing.