Sea Floor Mapping, Hurricane Season Forecast. June 1, 2018, Part 2
The deep sea is the largest habitat on Earth, but it’s also one of the least understood. As mining companies eye the mineral resources of the deep sea—from oil and gas, to metal deposits—marine biologists like London’s Natural History Museum’s Diva Amon are working to discover and describe as much of the deep sea as they can. Amon has been on dozens of expeditions to sea, where she’s helped characterize ecosystems and discover new species all over the world. And she says we still don’t know enough about deep sea ecology to know how to protect these species, the ones we’ve found and the ones we haven’t yet, from mining. But accessing the deep ocean is expensive; it can cost anywhere from $50,000 to $100,000 a day to run a research ship. So roboticists and artificial intelligence designers are developing underwater drones to map and sniff out the secrets of the deep with the help of sophisticated chemical sensors.
June 1 marks the start of the official “hurricane season” in the Atlantic, the time when powerful storms are most likely to spin their way out of the tropics. Each year, teams of forecasters try to anticipate the number and severity of storms to come. Some try to run climate models that simulate atmospheric behavior over multi-month timeframes, while other teams rely on statistics and comparisons with historic data for their estimates of the upcoming storm season. Michael Bell, co-author of Colorado State University’s seasonal hurricane forecast, says that after looking at factors including Atlantic sea surface temperatures, sea level pressures, vertical wind shear levels, and El Niño, their team is predicting 13 additional named storms during the 2018 Atlantic hurricane season (in addition to Alberto, which formed before the Atlantic hurricane season began). Of those storms, the forecast calls for six to become hurricanes and two to reach major hurricane strength. That’s in line with a separate forecast from NOAA’s Climate Prediction Center estimating between 10-16 named storms and 5-9 hurricanes.
Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that’s keeping you up at night? Call us: 877-472-4374
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.