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The future of rain: Predicting the extremes

June 12, 2018

ASU researcher models present rainfall data to improve future forecasts of how extreme weather will affect urban living

The weather-related effects of climate change will affect the next phase of urban living. We just need to know how and when.

In 2017, calamitous weather seemed ever present. Three hurricanes brought record rain, intense flooding and widespread damage to Texas, Florida, Puerto Rico and the U.S. Virgin Islands. California floods led to the Oroville Dam crisis, where the main and emergency spillways eroded and resulted in extensive evacuations. Heavy rains led to a deadly flash flood that tore through a canyon near Payson, Arizona, killing 10.

Extreme weather, including heavy rainfall, drought and excessive heat, now threatens urban centers on an unprecedented scale. That’s why Giuseppe Mascaro, an assistant professor of civil engineering at Arizona State University, sought to characterize daily rainfall in the Phoenix metropolitan area and throughout central Arizona using statistical models. His results are published in the Journal of Hydrology.

“Why do we want to characterize extremes?” asked Mascaro, a faculty member in the School of Sustainable Engineering and the Built Environment — one of the six schools in the Ira A. Fulton Schools of Engineering. “The recent occurrence of natural disasters triggered by heavy rainfall and the perception that this has been happening more frequently than usual require conducting this type of quantitative analysis to understand the current situation, compare it with the past and try to model the future.”

Statistical models of extreme rainfall are crucial to support water, engineering and climate studies. Mascaro’s models will inform efforts in flood prediction, water management and urban infrastructure design. Additionally, Mascaro’s models will evaluate the ability of current climate models to reliably forecast heavy rainfall scenarios.

Video by Deanna Dent/ASU Now

Methodology reduces uncertainty

Extremes are rare by definition. A 100-year storm theoretically happens once every 100 years. This makes observing extreme weather events challenging, especially in the Southwestern United States where records of rainfall observations can be sparser and shorter as compared with the Eastern part of the country.

For instance, the National Oceanic and Atmospheric Administration created Atlas 14, a precipitation atlas that characterizes the frequency and intensity of rainfall in the Southwestern U.S. In Arizona, the atlas is based on data from a network of just 270 rain gauges across the entire state.

Civil engineers rely on statistical models to design infrastructure and stormwater systems for urban centers, assuming that the climate variability observed in the past will remain the same in the future. However, theoretical arguments suggest that a warmer climate can lead to increased frequency and magnitude of extreme weather-related events, implying that the existing infrastructure may not be able to mitigate the effects of heavy rainfall and flooding.

“The drawback of sparse and shorter records for statistical analyses is that the probability distributions are not robust enough,” said Mascaro, who is also a research engineer in ASU’s Julie Ann Wrigley Global Institute of Sustainability and an assistant professor in the Urban Climate Research Center. “There is uncertainty. I want to reduce uncertainty in the estimation of extremes so we can plan for the future better.”

To characterize daily rainfall extremes in the Phoenix metropolitan area and central Arizona, Mascaro utilized an untapped data set from the Flood Control District of Maricopa County. The network includes records from 310 rain gauges, of which 240 have more than 15 years of data.

Mascaro analyzed this “treasure” of data using an alternative statistical approach called peak-over-threshold analysis, which expands the amount of data used to characterize extreme events.

“People in my field say, ‘OK, this method is not new,’” Mascaro said. “But then I applied recent methodological advancements that have been developed using global long-term rainfall records to help correct errors in the frequency analysis of shorter datasets. This improves the robustness while limiting the effect of small sample sizes.”

Empirical results useful in forecasting the future

Mascaro conducted analyses of heavy rainfall in the Phoenix metropolitan area and central Arizona, annually and seasonally. For the seasonal analysis, Mascaro accounted for Arizona’s summer monsoon marked July through September and the winter season marked November to March. He estimated the parameters of a statistical distribution, called the Generalized Pareto distribution, to reproduce the frequency of daily extreme rainfall.

Through this analysis, Mascaro found that the statistical behavior of extreme rainfall in summer differs from that in winter. In summer, storms are very localized and short, while they are generally longer and widespread in winter due to cold fronts from the Pacific Ocean.

Mascaro also found the intensity of wintertime daily rainfall extremes increases with elevation. However, there are no organized patterns of rainfall extremes based on latitude, longitude or elevation for summertime extremes. This type of information helps refine statistical models that estimate rainfall frequency across Phoenix and Central Arizona.

The results of Mascaro’s work on daily rainfall extremes inform the design of civil infrastructure and provide tools to evaluate the ability of climate models to predict extreme events. These methodologies are broadly applicable to other regions, including urban areas where rainfall records are becoming increasingly available due to growing networks of rain gauges.

Mascaro’s rainfall prediction models will be a vital component to promote urban resilience and water sustainability as urban centers face unprecedented weather-related challenges with a warming climate.

In addition to informing the climate sciences, Mascaro’s results will have far-reaching impacts for research networks currently active at ASU, such as the Urban Resilience to Extremes Sustainability Research Network and the Decision Center for a Desert City.

UREx SRN promotes the transition from contemporary urban areas to cities of the future. These cities will have flexible, adaptable, socially equitable and ecologically based infrastructure that remains resilient even through an increased occurrence of extreme weather events. The researchers of UREx SRN analyze extremes in urban areas to figure out how to update design standards for the infrastructure of the future. Mascaro’s research can help analyze the uncertainty of current statistical models used to design and operate infrastructure.

A change in the rainfall patterns, including extremes, will also have an impact on the region’s water resources. Thus, DCDC can use Mascaro’s rainfall models to help advance knowledge about decision making with uncertainty in the context of water sustainability and urban climate-change adaptation.

“If we trust the ability of climate models to reproduce large-scale weather patterns that cause extreme rainfall, we can quantify how the frequency of these patterns will change in future greenhouse gas emission scenarios,” Mascaro said. “We can combine this information with the statistical analyses on rainfall extremes observed by the gauges to obtain a more realistic prediction of the future rainfall distribution at local scales.”

Top photo: Assistant Professor Giuseppe Mascaro's research focuses on statistical analysis of rain gauge data collected by the Flood Control District of Maricopa County to better forecast extreme weather and build better infrastructure. Photo by Deanna Dent/ASU Now

Amanda Stoneman

Science Writer , Ira A. Fulton Schools of Engineering

480-727-5622

 
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Bitcoin goes to Wall Street: Cryptocurrency’s newest phase

June 12, 2018

ASU director says blockchain technology is more evolutionary than revolutionary

The Intercontinental Exchange, which owns the New York Stock Exchange, has been developing an online trading platform that will allow large investors to buy and hold bitcoin. The plan, along with commodity exchanges now offering bitcoin futures, signals a shift from the financial industry’s pervasive mistrust of cryptocurrencies to a cautious entry into mainstream adoption.

Dragan Boscovic, an Arizona State University computer science research professor and director of the Blockchain Research Lab, gave ASU Now some insight into bitcoin’s latest step toward legitimacy.

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Dragan Boscovic

Question: After years of skepticism about cryptocurrencies, what is motivating the New York Stock Exchange to develop its own trading platform?

Answer: Cryptocurrencies, while relatively new, are about a decade old now — within the normal cycle for any new technology to gain some traction. What we have seen over the past few years is that original cryptocurrencies like bitcoin did produce some additional platforms and networks that do not necessarily have the same objective as currencies tied to a country or consortium of countries.

The industry now sees an opportunity to offer a new asset for trade, broadening choices for investors.

Q: What will bitcoin look like on the NYSE?

A: Traders have been looking into cryptocurrencies for some time now. From the investment perspective, cryptocurrency is considered an asset and as such, it is traded as a commodity. Just like we trade precious metals like gold or silver or platinum, we can look at cryptocurrencies in the same way. In other words, the NYSE now looks at cryptocurrency as an investment option in the same way it treats gold as a commodity.

Why now? I think it’s because people are now more familiar with bitcoin.

Video by Jamie Ell/ASU Now

Q: What does this mean for the consumer?

A: Consumers now will have another choice. In addition to investing in assets like gold or land, now they can invest in an intangible asset that has an accompanying proof of ownership. The vulnerability of a digital currency is based on demand, and it is not open to influence by additional supply. A government can bootstrap an economy by introducing a new supply of traditional currency to influence borrowing. That can’t happen with cryptocurrency.

Q: How would these transactions work?

A: In the same way you buy any commodity on the stock exchange, you will be able to buy digital currencies like bitcoin, Ethereum or Dash.

Q: Does bitcoin’s acceptance open the door to other cryptocurrencies?

A: Certainly. The trading or acceptance of bitcoin will open the door to other currencies. It’s a very positive development in the sense that it injects confidence into the marketplace. Institutional investors are recognizing this new asset as a valued investment opportunity; this will encourage individual investors. It will also encourage consumers and small shops to start trading in cryptocurrency.

Q: Why have institutions been so resistant to cryptocurrencies in the past?

A: I wouldn’t call it resistance but rather inertia and maybe time to understand how it works and what does it mean to any business or operation. I think self-preservation is natural behavior for both humans and institutional organizations and bodies.

It takes courage and curiosity to understand how this new thing would impact their business. It’s essentially doing business in a new way. When institutions saw the long-term value in doing business this way, they became much more embracing and started to adopt technology for optimizing their internal processes and making them more efficient to audit.

The acceptance of cryptocurrencies and the blockchain platforms on which they exist is evolutionary more than revolutionary.

Q: Does the NYSE give this some legitimacy for consumer confidence?

A: It’s an encouraging development. Consumers do develop confidence when they see a large institution such as the stock exchange backing and selling cryptocurrencies.

Q: Will cryptocurrency ever be commonplace?

A: I believe cryptocurrency will be one asset that will feed and provide fuel for a new economy. We will still continue to trade in gold, silver and platinum. It’s simply another trading asset.