Dust-climate couplings over the past 800,000 years from the EPICA Dome C ice core

first_imgDust can affect the radiative balance of the atmosphere by absorbing or reflecting incoming solar radiation(1); it can also be a source of micronutrients, such as iron, to the ocean(2). It has been suggested that production, transport and deposition of dust is influenced by climatic changes on glacial-interglacial timescales(3-6). Here we present a high- resolution record of aeolian dust from the EPICA Dome C ice core in East Antarctica, which provides an undisturbed climate sequence over the past eight climatic cycles(7,8). We find that there is a significant correlation between dust flux and temperature records during glacial periods that is absent during interglacial periods. Our data suggest that dust flux is increasingly correlated with Antarctic temperature as the climate becomes colder. We interpret this as progressive coupling of the climates of Antarctic and lower latitudes. Limited changes in glacial-interglacial atmospheric transport time(4,9,10) suggest that the sources and lifetime of dust are the main factors controlling the high glacial dust input. We propose that the observed similar to 25-fold increase in glacial dust flux over all eight glacial periods can be attributed to a strengthening of South American dust sources, together with a longer lifetime for atmospheric dust particles in the upper troposphere resulting from a reduced hydrological cycle during the ice ages.last_img read more

Forestalling food waste

first_img Food that’s better for all of us and the planet Summit looks at production, health, sustainability, and social justice Related Food programs grow as Harvard cooks up new ideas Law School’s Food Law and Policy Clinic steps up its efforts in time of pandemic Each year, about 40 percent of all food in the U.S. goes uneaten. That means Americans throw away $165 billion worth of food that could been used to make more than 58 billion meals, according to the National Resource Defense Council.A team of Harvard John A. Paulson School of Engineering and Applied Sciences students tackled this complex problem as their project in “Engineering Problem Solving and Design Project” (ES 96), and this time came up with an answer to the always head-scratching supermarket and kitchen question: How do you know when an avocado is ripe?The course routinely challenges students to use engineering design skills to create a solution for a real-world client. They partnered with Savormetrics, a predictive food safety startup, to develop a product that could help reduce food waste. The juniors in the course, who represent all five engineering concentrations, collaborated to design and drive the project.After studying the supply chain, the students chose to focus on food waste at the retail level. Grocery stores and distributors are responsible for about 13 percent of all food waste, with produce comprising an outsized portion, the council reports. Overstocking is one reason so much produce is wasted in grocery stores. Consumers are drawn to abundant displays of produce, but since the appearance of that produce declines as it becomes overripe, much is discarded before it can be purchased.“In order to prevent produce from being discarded, what we need is metrics in order to know which produce are going to ripen faster,” said project co-lead Mark Meneses ’21, an engineering sciences concentrator. “How can we use metrics to drive retailer action in reducing food loss and waste?”,To generate those metrics, the students developed a multi-sensing device that could predict when produce would ripen. They focused on avocados, since the fruits have a high price and high market value — about $2.28 billion per year in the U.S. — with about a 10 percent annual growth rate in the market.“Saving just a few avocados could help justify the price of our device,” said Joseph Sanchez ’21, a mechanical engineering concentrator.The device they developed incorporates sensors to measure certain chemical properties of an avocado. Information from these sensors is incorporated into a machine-learning model the students developed to predict when an avocado will be ripe. The model’s output is displayed through an app that shows the estimated date of ripeness and the number of days until each tested avocado will be ripe.The app also allows users to view batch stats on avocados that were scanned together, providing information on the average days until avocados in that group will be ripe, and also a graph that shows the count of avocados at each of five stages, from hard to overripe.,“Ripeness prediction is really difficult for avocados, and because they are so valuable, it is really a critical point for retailers,” said Juliet Nwagwu Ume-Ezeoke ’21, a mechanical engineering concentrator. “We hope this information would allow retailers to take very decisive actions.”For instance, retailers could advertise the ripeness states of avocados so consumers can make more informed produce purchasing decisions. Retailers could also set different prices for different levels of ripeness, or change store displays so the ripest avocados are at the front.The biggest challenge the students faced resulted from the University’s transition to remote instruction in mid-March — right in the middle of their project. After they left campus, the members of the sensor development team were forced to individually assemble sensors and then ship them to teammate John Schmidt ’21, a mechanical engineering concentrator, who faced the burden of assembling the device and testing 80 avocados on his own, said project co-lead Jonas LaPier ’21, an environmental engineering concentrator.And a sudden sensor malfunction during testing threatened to derail the entire project, but the students were able to get a new part shipped the next day.Despite those challenges, the students created an effective prototype — 60 percent of the estimates were accurate to within one day, with an additional 30 percent accurate within two days. “Because [avocados] are so valuable, it is really a critical point for retailers. We hope this information would allow retailers to take very decisive actions.” — Juliet Nwagwu Ume-Ezeok Students turn dining hall surplus into frozen meals for the hungry Waste not, want not “The predictive model worked fairly well, which was great to see because we really weren’t sure with all of the moving parts in our project. The success of the modeling was contingent on our sensing approach and our avocado testing procedure which were both difficult to implement,” said LaPier. “I was consistently surprised by the hard work and exceptional skills that my fellow engineers brought to our team. There was never a point where we couldn’t count on someone to finish a task and move us all forward.”Instructor Nabil Harfoush, visiting associate professor, was impressed by the determination the students showed to complete the project, even in the face of the unprecedented challenges they faced during the spring term.“My hope is that students learned how to dwell more in the problem space before jumping to solutions, how to engage collectively with a complex problem, and what aspects and perspectives must be considered beyond technology in a real-world project,” he said.Harjeet Bajaj, president and CEO of Savormetrics, was also impressed by the students’ work.“Savormetrics will be polishing this off and bringing this product into market. I am very surprised at the efficacy of the students on our project,” he said. “Kudos to Dr. Harfoush and Dr. [Fawwaz] Habbal. We are planning on presenting a stock option opportunity to the students to bring this product to market, by providing them access to our office in Boston and other resources.”last_img read more

Poll shows fans back Hammers move

first_img The survey showed that 51% of those questioned believed the move would provide West Ham with the resources to improve the squad and build the club. The other reasons given for supporting the move included growing the club’s supporter base and the belief the Olympic Stadium would provide an improved fan experience. Press Association Only 5% of the 11,858 supporters questioned were against West Ham leaving Upton Park under any circumstances while 10% said they would consider backing the move but they required more information. Those supporters have been offered the chance to take part in on-going consultation sessions throughout this summer. West Ham plan to move into the Olympic Stadium, with a post-conversion capacity of 54,000, for the start of the 2016/17 season. The club’s vice-chairman Karren Brady said: “I am delighted that the SMG YouGov independent poll shows that such an overwhelming majority of our fans are in favour of our plans to move to the Olympic Stadium. “I would like to thank each and every supporter that took the time to have their say on what is an historic and monumental decision for the club. We must now engage further with the fans who’ve requested more information but it is fantastic to know that the consensus among our supporters is that they are behind the move.” MG YouGov said the poll was six times larger than typical surveys of 2000 people used for robust research analysis, therefore greatly reducing the margin for error. The results have been published on West Ham’s official website whufc.com. center_img West Ham’s plan to move into the Olympic Stadium has the backing of 85% of the club’s supporters, according to a comprehensive poll conducted by SMG YouGov.last_img read more