Vital Signs of the Planet from NASA is a place for graphs and data. The graph here is change in the mass of the Greenland Ice Sheet. On the Land Ice page there is also a graph of changes in the Antarctica Ice. Underneath each graph is a link to data (HTTP), which will give you data for both Greenland and Antarctica ice as well as sea level change. All three sets can be used for linear regression or multiple regression predicting sea level change based on both ice mass changes (recall that melting sea ice doesn’t raise sea levels but land ice does).
This move is from NOAA and embedded in their page Trends in Atmospheric Carbon Dioxide where you can download a full resolution version of this animation. There is a lot of information in this video and simply reading the information could be a challenge for students.
A NOAA news report, Global Climate Report – March 2017 Monthly temperature anomalies versus El Niño, provides us with the graph here of monthly temperature colored coded by ENSO events. The report notes that
March 2017 marks the first time since April 2016 that the global land and ocean temperature departure from average is greater than 1.0°C (1.8°F).
This is also the first time a monthly temperature departure from average surpasses 1.0°C (1.8°F) in the absence of an El Niño episode in the tropical Pacific Ocean.
March 2017 tied with January 2016 as the fifth highest monthly global land and ocean temperature departure from average on record (1,647 monthly records).
According to the NOAA report Carbon dioxide levels rose at record pace for 2nd straight year (graph here from their report).
“The rate of CO2 growth over the last decade is 100 to 200 times faster than what the Earth experienced during the transition from the last Ice Age,” Tans said. “This is a real shock to the atmosphere.”
Globally averaged CO2 levels passed 400 ppm in 2015 — a 43-percent increase over pre-industrial levels. In February 2017, CO2 levels at Mauna Loa had already climbed to 406.42 ppm.
The Economic Policy Institute has a State of Working America Data Library. Here you will find downloadable excel files on employment and wages by race and gender. For example, you might be interested in the median hourly wages for men and women over time (see the graph – you can guess which is women and men). Not only is the data suitable for regression, but also for rich discussion on equality and policy. This data set will get added to the statistics material pages.
Kevin Drum keep us updated on the lead crime hypothesis. His latest post on this topic: Lead Update: White Folks and Alabama Prisoners.
The lead hypothesis predicts that young cohorts are less crime prone than older cohorts, so their share of the jail and prison population should decline. It predicts that black crime rates will drop faster than white crime rates. And it also predicts that small-city crime rates will drop faster than big-city crime rates. All of these things have turned out to be true.
The lead crime connection has an element of environmental racism, which is not often discussed. In Statistics Materials you’ll find lead and crime data for linear regression and further information.
According to Climate Policy Observer EU electricity companies to cut investment in coal plants after 2020. While this is good news there is still a long way to go.
However, coal remains an important energy source for many European member states. According to the most recent EURACOAL data analysis, in 2014 EU indigenous coal and lignite production exceeded indigenous natural gas production by 28 percent and indigenous oil production by 78 percent.
If all existing coal plants continue operating to the end of their full life span, Climate Analytics highlights, the EU will by far exceed the level of emissions from coal compatible with the Paris Agreement’s commitments. For the EU to remain within its carbon budget, 25 percent of currently operating coal-fired power units need to be shut down by 2020, rising to 72 percent by 2025, before a complete shutdown by 2030, the study finds.
U.S. coal use has been on the decline and you can find U.S. coal data in Calculus Materials.
The ARC Centre of Excellence for Coral Reef Studies released the statement Two-thirds of Great Barrier Reef hit by back-to-back mass coral bleaching today (graphic here from them).
“The bleaching is caused by record-breaking temperatures driven by global warming. This year, 2017, we are seeing mass bleaching, even without the assistance of El Niño conditions.”
“Clearly the reef is struggling with multiple impacts,” explains Prof. Hughes. “Without a doubt the most pressing of these is global warming. As temperatures continue to rise the corals will experience more and more of these events: 1°C of warming so far has already caused four events in the past 19 years.”
“Ultimately, we need to cut carbon emissions, and the window to do so is rapidly closing.”
The Guardian also has a related article, Great Barrier Reef at ‘terminal stage’: scientists despair at latest coral bleaching data, and in that there are graphs that could be used in classrooms if someone wants to track down the data. There are materials on the ARC Center’s page worth exploring.
I have just posted a new project in the calculus section dealing with arctic ice and feedback loops. To go along with that here is quick tutorial on the ice albedo feedback loop.
If you are looking for U.S. energy data then visit the EIA’s Monthly Energy Review. If you are interested in coal or renewable energy, nuclear or natural gas, or consumption by sector, the data is there. You can choose from pdf files or excel files and each data set has an interactive graph link. All data sets are historical providing an abundance of time series. On the right sidebar are interesting graphs like the one here that are archived dating back to 1996. Enjoy.