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Narasimhan K. Larkin

Researcher at United States Forest Service

Publications -  58
Citations -  3639

Narasimhan K. Larkin is an academic researcher from United States Forest Service. The author has contributed to research in topics: Smoke & Climate change. The author has an hindex of 24, co-authored 55 publications receiving 3038 citations. Previous affiliations of Narasimhan K. Larkin include Joint Institute for the Study of the Atmosphere and Ocean & United States Department of Agriculture.

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On the definition of El Niño and associated seasonal average U.S. weather anomalies

TL;DR: In this article, the seasonal weather anomalies over the U.S. associated with these additional Dateline El Nino seasons are substantially different from those associated with conventional ELN seasons.
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Global seasonal temperature and precipitation anomalies during El Niño autumn and winter

TL;DR: In this article, the seasonal weather anomalies typically associated with these additional “dateline El Nino” seasons are different in useful respects over much of the world, and suggest that it is useful to treat these as different types of "El Nino" for purposes of seasonal weather forecasting.
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Climate change presents increased potential for very large fires in the contiguous United States

TL;DR: In this article, an ensemble of 17 global climate models were statistically downscaled over the US for climate experiments covering the historic and mid-21st-century periods to estimate potential changes in VLF occurrence arising from anthropogenic climate change.
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ENSO Warm (El Niño) and Cold (La Niña) Event Life Cycles: Ocean Surface Anomaly Patterns, Their Symmetries, Asymmetries, and Implications.

TL;DR: In this article, a singlemode regression analysis of the ENSO signal is done; the patterns are very similar to those of previously published ENS OOF and regression analyses; the regression patterns obscure many of the interesting life cycles and life cycle differences of cold events and warm events.
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The BlueSky smoke modeling framework

TL;DR: In this paper, the authors proposed a smoke modeling framework called BlueSky, which links together a variety of state-of-the-art models of meteorology, fuels, consumption, emissions, and air quality.