The potential for snow to supply human water demand in the present and future

TitleThe potential for snow to supply human water demand in the present and future
Publication TypeJournal Article
Year of Publication2015
AuthorsMankin, Justin S., Viviroli Daniel, Singh Deepti, Hoekstra Arjen Y., and Diffenbaugh Noah S.
JournalEnvironmental Research Letters
Volume10
Pagination114016
Date Published11/2015
KeywordsCESM large ensemble, climate impacts, CMIP5, human water demand, internal climate variability, snow, water resources
Abstract

Runoff from snowmelt is regarded as a vital water source for people and ecosystems throughout the Northern Hemisphere (NH). Numerous studies point to the threat global warming poses to the timing and magnitude of snow accumulation and melt. But analyses focused on snow supply do not show where changes to snowmelt runoff are likely to present the most pressing adaptation challenges, given sub-annual patterns of human water consumption and water availability from rainfall. We identify the NH basins where present spring and summer snowmelt has the greatest potential to supply the human water demand that would otherwise be unmet by instantaneous rainfall runoff. Using a multi-model ensemble of climate change projections, we find that these basins—which together have a present population of \~{}2 billion people—are exposed to a 67% risk of decreased snow supply this coming century. Further, in the multi-model mean, 68 basins (with a present population of >300 million people) transition from having sufficient rainfall runoff to meet all present human water demand to having insufficient rainfall runoff. However, internal climate variability creates irreducible uncertainty in the projected future trends in snow resource potential, with about 90% of snow-sensitive basins showing potential for either increases or decreases over the near-term decades. Our results emphasize the importance of snow for fulfilling human water demand in many NH basins, and highlight the need to account for the full range of internal climate variability in developing robust climate risk management decisions.

DOI10.1088/1748-9326/10/11/114016