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Climate change

2013

Series

Articles 1 - 8 of 8

Full-Text Articles in Engineering

Quantifying Risks Of Climate Change And Sea Level Rise To Naval Station Norfolk (Serdp Rc-1701), Kelly Burks-Copes Oct 2013

Quantifying Risks Of Climate Change And Sea Level Rise To Naval Station Norfolk (Serdp Rc-1701), Kelly Burks-Copes

October 2, 2013: Quantifying Risks and Moving Forward

No abstract provided.

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Climate Change Impacts On Streamflow And Subbasin- Scale Hydrology In The Upper Colorado River Basin, Darren L. Ficklin, Edwin P. Maurer, Iris T. Stewert Aug 2013

Climate Change Impacts On Streamflow And Subbasin- Scale Hydrology In The Upper Colorado River Basin, Darren L. Ficklin, Edwin P. Maurer, Iris T. Stewert

Civil, Environmental and Sustainable Engineering

In the Upper Colorado River Basin (UCRB), the principal source of water in the southwestern U.S., demand exceeds supply in most years, and will likely continue to rise. While General Circulation Models (GCMs) project surface temperature warming by 3.5 to 5.6uC for the area, precipitation projections are variable, with no wetter or drier consensus. We assess the impacts of projected 21st century climatic changes on subbasins in the UCRB using the Soil and Water Assessment Tool, for all hydrologic components (snowmelt, evapotranspiration, surface runoff, subsurface runoff, and streamflow), and for 16 GCMs under the A2 emission scenario. Over the GCM …

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The Key Role Of Heavy Precipitation Events In Climate Model Disagreements Of Future Annual Precipitation Changes In California, David W. Pierce, Daniel R. Cayan, Tapash Das, Edwin P. Maurer, Norman L. Miller, Yan Bao, M. Kanamitsu, Kei Yoshimura, Mark A. Snyder, Lisa C. Sloan, Guido Franco, Mary Tyree Aug 2013

The Key Role Of Heavy Precipitation Events In Climate Model Disagreements Of Future Annual Precipitation Changes In California, David W. Pierce, Daniel R. Cayan, Tapash Das, Edwin P. Maurer, Norman L. Miller, Yan Bao, M. Kanamitsu, Kei Yoshimura, Mark A. Snyder, Lisa C. Sloan, Guido Franco, Mary Tyree

Civil, Environmental and Sustainable Engineering

Climate model simulations disagree on whether future precipitation will increase or decrease over California, which has impeded efforts to anticipate and adapt to human-induced climate change. This disagreement is explored in terms of daily precipitation frequency and intensity. It is found that divergent model projections of changes in the incidence of rare heavy (>60 mm day−1) daily precipitation events explain much of the model disagreement on annual time scales, yet represent only 0.3% of precipitating days and 9% of annual precipitation volume. Of the 25 downscaled model projections examined here, 21 agree that precipitation frequency will decrease by the …

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Tools For Assessing Climate Impacts On Fish And Wildlife, Chad B. Wilsey, Joshua J. Lawler, Edwin P. Maurer, Donald Mckenzie, Patricia A. Townsend, Richard Gwozdz, James A. Freund, Keala Hagmann, Karen M. Hutten Jun 2013

Tools For Assessing Climate Impacts On Fish And Wildlife, Chad B. Wilsey, Joshua J. Lawler, Edwin P. Maurer, Donald Mckenzie, Patricia A. Townsend, Richard Gwozdz, James A. Freund, Keala Hagmann, Karen M. Hutten

Civil, Environmental and Sustainable Engineering

Climate change is already affecting many fish and wildlife populations. Managing these populations requires an understanding of the nature, magnitude, and distribution of current and future climate impacts. Scientists and managers have at their disposal a wide array of models for projecting climate impacts that can be used to build such an understanding. Here, we provide a broad overview of the types of models available for forecasting the effects of climate change on key processes that affect fish and wildlife habitat (hydrology, fire, and vegetation), as well as on individual species distributions and populations. We present a framework for how …

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Explaining The Hydroclimatic Variability And Change In The Salmon River Basin, Venkataramana Sridhar, Xin Jin, W. Thilini Jaksa Apr 2013

Explaining The Hydroclimatic Variability And Change In The Salmon River Basin, Venkataramana Sridhar, Xin Jin, W. Thilini Jaksa

Civil Engineering Faculty Publications and Presentations

Climate change in the Pacific Northwest and in particular, the Salmon River Basin (SRB), is expected to bring about 3–5 °C rise in temperatures and an 8 % increase in precipitation. In order to assess the impacts due to these changes at the basin scale, this study employed an improved version of Variable Infiltration Capacity (VIC) model, which includes a parallel version of VIC combined with a comprehensive parameter estimation technique, Shuffled Complex Evolution (SCE) to estimate the streamflow and other water balance components. Our calibration (1955–1975) and validation (1976–1999) of the model at the outlet of the basin, White …

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Probabilistic Estimates Of Future Changes In California Temperature And Precipitation Usingstatistical And Dynamical Downscaling, David W. Pierce, Tapash Das, Daniel R. Cayan, Edwin P. Maurer, Norman L. Miller, Yan Bao, M. Kanamitsu, Kei Yoshimura, Mark A. Snyder, Lisa C. Sloan, Guido Franco, Mary Tyree Feb 2013

Probabilistic Estimates Of Future Changes In California Temperature And Precipitation Usingstatistical And Dynamical Downscaling, David W. Pierce, Tapash Das, Daniel R. Cayan, Edwin P. Maurer, Norman L. Miller, Yan Bao, M. Kanamitsu, Kei Yoshimura, Mark A. Snyder, Lisa C. Sloan, Guido Franco, Mary Tyree

Civil, Environmental and Sustainable Engineering

Sixteen global general circulation models were used to develop probabilistic projections of temperature (T) and precipitation (P) changes over California by the 2060s. The global models were downscaled with two statistical techniques and three nested dynamical regional climate models, although not all global models were downscaled with all techniques. Both monthly and daily timescale changes in T and P are addressed, the latter being important for a range of applications in energy use, water management, and agriculture. The T changes tend to agree more across downscaling techniques than the P changes. Year-to-year natural internal climate variability is roughly of similar …

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Tackling Change: Future-Proofing Water, Agriculture, And Food Security In An Era Of Climate Uncertainty, Peter G. Mccornick, Vladimir Smakhtin, Luna Bharati, Robyn Johnston, Matthew Mccartney, Fraser Sugden, Floriane Clement, Beverly Mcintyre Jan 2013

Tackling Change: Future-Proofing Water, Agriculture, And Food Security In An Era Of Climate Uncertainty, Peter G. Mccornick, Vladimir Smakhtin, Luna Bharati, Robyn Johnston, Matthew Mccartney, Fraser Sugden, Floriane Clement, Beverly Mcintyre

Daugherty Water for Food Global Institute: Faculty Publications

In 1950 the global population was just over 2.5 billion. Now, in 2013, it is around 7 billion. Although population growth is slowing, the world is projected to have around 9.6 billion inhabitants by 2050. Most of the population increase will be in developing countries where food is often scarce, and land and water are under pressure. To feed the global population in 2050 the world will have to produce more food without significantly expanding the area of cultivated land and, because of competition between a greater number of water users, with less freshwater. On top of land and water …

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Probabilistic Sea-Level Rise Hazard Analysis, Ting Lin Jan 2013

Probabilistic Sea-Level Rise Hazard Analysis, Ting Lin

Civil and Environmental Engineering Faculty Research and Publications

This paper proposes a framework termed Probabilistic Sea-Level Rise Hazard Analysis (PSLRHA), to integrate the sea-level rise knowledge of current climate change scientific communities for informed engineering and policy decisions that affect coastal infrastructure, populations, and ecosystems. PSLRHA combines probabilities of all emission scenarios with predictions of the resulting sea-level rise over time, in order to compute sea-level rise hazard. PSLRHA also incorporates uncertainties in those sea-level rise predictions, by considering multiple Sea-Level Rise Prediction Models (SLRPMs). The output of the PSLRHA framework could be a Global Sea-Level Rise Hazard Map (GSLRHM) that can be used for Performance- Based Sea-Level …

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