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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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Detection and attribution of temperature changes in the mountainous Western United States

TL;DR: In this paper, a rigorous detection and attribution analysis is performed to determine the causes of the late winter/early spring changes in hydrologically relevant temperature variables over mountain ranges of the western United States.
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The Key Role of Heavy Precipitation Events in Climate Model Disagreements of Future Annual Precipitation Changes in California

TL;DR: In this paper, the authors explored model projections of changes in the incidence of rare heavy (>60 mm day−1) daily precipitation events and found that divergent model projections explain much of the model disagreement on annual time scales.
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Increases in Flood Magnitudes in California Under Warming Climates

TL;DR: In this article, the authors used an ensemble of 16 global climate models to predict that flooding may become more intense on the western slopes of the Sierra Nevada mountains, the primary source for California's managed water system.
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The importance of warm season warming to western U.S. streamflow changes

TL;DR: In this article, a uniform warm season warming of 3°C drives a wide range of annual flow declines across the basins: 13.3%, 7.2%, 1.8%, and 3.6% in the Colorado, Columbia, Northern and Southern Sierra basins, respectively.
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Climatic correlates of tree mortality in water- and energy-limited forests.

TL;DR: Using long-term data from California’s Sierra Nevada mountain range, it is found that in water-limited (low-elevation) forests mortality was unambiguously best modeled by climatic water deficit, consistent with the first mechanism, and in energy-limited forests deficit models were only equivocally better than temperature models.