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Cake day: June 13th, 2023

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  • Even better, here’s a direct link to a NASA page discussing the data: https://earthobservatory.nasa.gov/images/150192/tracking-30-years-of-sea-level-rise

    Some quotes from the page:

    Scientists have found that global mean sea level—shown in the line plot above and below—has risen 10.1 centimeters (3.98 inches) since 1992. Over the past 140 years, satellites and tide gauges together show that global sea level has risen 21 to 24 centimeters (8 to 9 inches).

    “With 30 years of data, we can finally see what a huge impact we have on the Earth’s climate,” said Josh Willis, an oceanographer at the Jet Propulsion Laboratory and NASA’s project scientist for Sentinel-6 Michael Freilich. “The rise of sea level caused by human interference with the climate now dwarfs the natural cycles. And it is happening faster and faster every decade.”

    The altimetry data also show that the rate of sea level rise is accelerating. Over the course of the 20th century, global mean sea level rose at about 1.5 millimeters per year. By the early 1990s, it was about 2.5 mm per year. Over the past decade, the rate has increased to 3.9 mm (0.15 inches) per year.

    While a few millimeters of sea level rise per year may seem small, scientists estimate that every 2.5 centimeters (1 inch) of sea level rise translates into 2.5 meters (8.5 feet) of beachfront lost along the average coast. It also means that high tides and storm surges can rise even higher, bringing more coastal flooding, even on sunny days. In a report issued in February 2022, U.S. scientists concluded that by 2050 sea level along U.S. coastlines could rise between 25 to 30 centimeters (10 to 12 inches) above today’s levels.






  • If you’re measuring the temperature in the room currently, you could try trending it yourself. Start the heater, and see how quickly the temperature rises (e.g., degrees per hour). Call this Rate 1.

    Then turn off the heat and see how quickly the temperature drops. Call this Rate 2. For the formula below, make it a positive number.

    Assuming the weather conditions are similar and the room temperature doesn’t change too much during data collection:

    Rate of heat loss = Heater power * Rate 2 / (Rate 1 + Rate 2)

    This number could be impacted by the weather: temperature, wind and insolation (affected by time of day, time of year, latitude, and cloud cover). It’s also impacted by room conditions (temperature, slade position, how many times the door is opened), so you’d need to do a few trials to get a sense for thr impact of different variables.

    You’ve probably already thought of this, but your strategy is going to result in noticeable swings in temperature in the room, because ypure going to do a lot of heating at once when prices are cheap, then turn off the heating and let the room cool. Compare that to a thermostat that tries to maintain a constant temperature.

    Sounds like a fun project - good luck! I’d love to hear updates here as you go.


  • The most intuitive analogy to federation to me is email. You may have an account with one provider (gmail.com in the example of email, or lemmy.world in the example of Lemmy) but you can send emails to other providers (email example) or post messages to other instances (Lemmy).

    Just like with email providers, a Lemmy instance may decide not to allow communication with another instance - this is “defederation.” Instances that allow communication are “federated.”

    Just like email, you don’t normally need to worry much about whether you are on the same instance as a particular community or user - it just works.

    This is a simplification, but for me is a good working model.