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Dive into the research topics where Sihan Li is active.

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Featured researches published by Sihan Li.


Geophysical Research Letters | 2016

Perspectives on the causes of exceptionally low 2015 snowpack in the western United States

Philip W. Mote; David E. Rupp; Sihan Li; Darrin Sharp; Friederike E. L. Otto; Peter Uhe; Mu Xiao; Dennis P. Lettenmaier; Heidi Cullen; Myles R. Allen

Augmenting previous papers about the exceptional 2011-15 California drought, we offer new perspectives on the ‘snow drought’ that extended into Oregon in 2014 and Washington in 2015. Over 80% of measurement sites west of 115°W experienced record low snowpack in 2015, and we estimate a return period of 400-1000 years for Californias snowpack under the questionable assumption of stationarity. Hydrologic modeling supports the conclusion that 2015 was the most severe on record by a wide margin. Using a crowd-sourced superensemble of regional climate model simulations, we show that both human influence and sea surface temperature anomalies contributed strongly to the risk of snow drought in Oregon and Washington: the contribution of SST anomalies was about twice that of human influence. By contrast, SSTs and humans appear to have played a smaller role in creating Californias snow drought. In all three states, the anthropogenic effect on temperature exacerbated the snow drought.


Bulletin of the American Meteorological Society | 2016

Superensemble Regional Climate Modeling for the Western United States

Philip W. Mote; Myles R. Allen; Richard G. Jones; Sihan Li; Roberto Mera; David E. Rupp; Ahmed Salahuddin; Dean Vickers

AbstractComputing resources donated by volunteers have generated the first superensemble of regional climate model results, in which the Hadley Centre Regional Model, version 3P (HadRM3P), and Hadley Centre Atmosphere Model, version 3P (HadAM3P), were implemented for the western United States at 25-km resolution. Over 136,000 valid and complete 1-yr runs have been generated to date: about 126,000 for 1960–2009 using observed sea surface temperatures (SSTs) and 10,000 for 2030–49 using projected SSTs from a global model simulation. Ensemble members differ in initial conditions, model physics, and (potentially, for future runs) SSTs. This unprecedented confluence of high spatial resolution and large ensemble size allows high signal-to-noise ratio and more robust estimates of uncertainty. This paper describes the experiment, compares model output with observations, shows select results for climate change simulations, and gives examples of the strength of the large ensemble size.


Geophysical Research Letters | 2015

Anthropogenic influence on the changing likelihood of an exceptionally warm summer in Texas, 2011

David E. Rupp; Sihan Li; Neil Massey; Sarah Sparrow; Philip W. Mote; Myles R. Allen

The impact of anthropogenic forcing on the probability of high mean summer temperatures being exceeded in Texas in the year 2011 was investigated using an atmospheric circulation model to simulate large ensembles of the world with 2011 level forcing and 5 “counterfactual” worlds under preindustrial forcing. In Texas, drought is a strong control on summer temperature, so an increased frequency in large precipitation deficits and/or soil moisture deficits that may result from anthropogenic forcing could magnify the regional footprint of global warming. However, no simulated increase in the frequency of large precipitation deficits, or of soil moisture deficits, was detected from preindustrial to year 2011 conditions. Despite the lack of enhancement to warming via these potential changes in the hydrological cycle, the likelihood of a given unusually high summer temperature being exceeded was simulated to be about 10 times greater due to anthropogenic emissions.


Journal of Climate | 2015

Evaluation of a Regional Climate Modeling Effort for the Western United States Using a Superensemble from Weather@home*

Sihan Li; Philip W. Mote; David E. Rupp; Dean Vickers; Roberto Mera; Myles R. Allen

AbstractSimulations from a regional climate model (RCM) as part of a superensemble experiment were compared with observations of surface meteorological variables over the western United States. The RCM is the Hadley Centre Regional Climate Model, version 3, with improved physics parameterizations (HadRM3P) run at 25-km resolution and nested within the Hadley Centre Atmosphere Model, version 3 (HadAM3P). Overall, the means of seasonal temperature were well represented in the simulations; 95% of grid points were within 2.7°, 2.4°, and 3.6°C of observations in winter, spring, and summer, respectively. The model was too warm over most of the domain in summer except central California and southern Nevada. HadRM3P produced more extreme temperatures than observed. The overall magnitude and spatial pattern of precipitation were well characterized, though HadRM3P exaggerated the orographic enhancement along the coastal mountains, Cascade Range, and Sierra Nevada. HadRM3P produced warm/dry northwest, cool/wet south...


Journal of Climate | 2017

Influence of the Ocean and Greenhouse Gases on Severe Drought Likelihood in the Central United States in 2012

David E. Rupp; Sihan Li; Philip W. Mote; Neil Massey; Sarah Sparrow; David Wallom

AbstractThe impacts of sea surface temperature (SST) anomalies and anthropogenic greenhouse gases on the likelihood of extreme drought occurring in the central United States in the year 2012 were investigated using large-ensemble simulations from a global atmospheric climate model. Two sets of experiments were conducted. In the first, the simulated hydroclimate of 2012 was compared to a baseline period (1986–2014) to investigate the impact of SSTs. In the second, the hydroclimate in a world with 2012-level anthropogenic forcing was compared to five “counterfactual” versions of a 2012 world under preindustrial forcing. SST anomalies in 2012 increased the simulated likelihood of an extreme summer precipitation deficit (e.g., the deficit with a 2% exceedance probability) by a factor of 5. The likelihood of an extreme summer soil moisture deficit increased by a similar amount, due in great part to a large spring soil moisture deficit carrying over into summer. An anthropogenic impact on precipitation was dete...


Environmental Research Letters | 2017

Attribution of extreme rainfall from Hurricane Harvey, August 2017

Geert Jan van Oldenborgh; Karin van der Wiel; Antonia Sebastian; Roop Singh; Julie Arrighi; Friederike E. L. Otto; Karsten Haustein; Sihan Li; Gabriel A. Vecchi; Heidi Cullen


Climate Dynamics | 2017

Seasonal spatial patterns of projected anthropogenic warming in complex terrain: a modeling study of the western US

David E. Rupp; Sihan Li; Philip W. Mote; Karen M. Shell; Neil Massey; Sarah Sparrow; David Wallom; Myles R. Allen


International Journal of Climatology | 2017

Less warming projected during heavy winter precipitation in the Cascades and Sierra Nevada

David E. Rupp; Sihan Li


Hydrology and Earth System Sciences Discussions | 2018

Risks of seasonal extreme rainfall events in Bangladesh under 1.5 and 2.0degrees’ warmer worlds n How anthropogenic aerosols change the story

Ruksana H. Rimi; Karsten Haustein; Emily J. Barbour; Sarah Sparrow; Sihan Li; David Wallom; Myles R. Allen


Environmental Research Letters | 2018

Corrigendum: Attribution of extreme rainfall from Hurricane Harvey, August 2017 (2017 Environ. Res. Lett. 12 124009)

Geert Jan van Oldenborgh; Karin van der Wiel; Antonia Sebastian; Roop Singh; Julie Arrighi; Friederike E. L. Otto; Karsten Haustein; Sihan Li; Gabriel A. Vecchi; Heidi Cullen

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Darrin Sharp

Oregon State University

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Dean Vickers

Oregon State University

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