Tag Archives: data source

How may Arctic precipitation change?

Changes in total precipitation (TP) (red, orange), snowfall (snow) (blue, light blue) and rainfall (rain) (green, light green) in CMIP6 and CMIP5 are shown relative to the 1981–2009 climatological mean for a December–February (DJF), b March–May (MAM), c June–August (JJA) and d September–November (SON). The light blue vertical dashed line denotes when the historical period for CMIP5 ends and the light purple vertical dashed line denotes when the historical period of CMIP6 ends and thereafter the RCP8.5 and SSP5–8.5 climate scenarios for CMIP5 and CMIP6 are used. The shading around each line highlights the spread based upon the lower 5th and 95th percentiles among the model members. The violin plots represent the model spread from 2090 to 2100 for each total precipitation (TP), snowfall (snow) and rainfall (rain) with the dashed black lines representing the 25th and 75th percentiles, and the black vertical line representing the mean of all models.

 

The paper New climate models reveal faster and larger increases in Arctic precipitation than previous projected by Michelle R McCrystall, et. el (11/30/2021) in Nature Communication has some great graphs. In fact, stop reading here and study the graph along with the caption; so much inf. Of course, the results are important too. From the abstract:

The latest projections from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) point to more rapid Arctic warming and sea-ice loss by the year 2100 than in previous projections, and consequently, larger and faster changes in the hydrological cycle. Arctic precipitation (rainfall) increases more rapidly in CMIP6 than in CMIP5 due to greater global warming and poleward moisture transport, greater Arctic amplification and sea-ice loss and increased sensitivity of precipitation to Arctic warming. The transition from a snow- to rain-dominated Arctic in the summer and autumn is projected to occur decades earlier and at a lower level of global warming, potentially under 1.5 °C, with profound climatic, ecosystem and socio-economic impacts.

There are other excellent graphs in this paper. If you need great graphs to talk about look here. Plus, there are links to data sources at the end. If you want a quick overview see this NSIDC summary.

Do men always earn more than women?

The Pew article, Young women are out-earning young men in several U.S. cities by Richard Fry (3/28/2022) provides the graph copied here.

Overall, about 16% of all young women who are working full time, year-round live in the 22 metros where women are at or above wage parity with men.

There are four metro areas where young women make 110% or more of what young men make: Wenatchee, WA; Morgantown WV; Barnstable Town, MA; and Gainesville, FL.

From a regional perspective, metropolitan areas in the Midwest tend to have wider gender wage gaps among young workers. Young women working full time, year-round in Midwestern metros earn about 90% of their male counterparts. In other regions, by comparison, young women earn 94% or more of what young men earn.

The article doesn’t talk about the types of jobs or why disparities exist but they do note:

Labor economists examine earnings disparities among full-time, year-round workers in order to control for differences in part-time employment between men and women as well as attachment to the labor market. However, even among full-time, year-round workers, men and women devote different amounts of time to work. Men under 30 usually work 44 hours per week, on average, compared with 42 hours among young women.

There is a link to a Google sheet with the data for 250 U.S. metro areas at the bottom of the article.

When is your last freeze date?

Climate.gov has an interactive map in their article Interactive map: average date of last spring freeze across the United States by Rebecca Lindsey (3/21/2022). A picture of the map is posted here. You can zoom in on a location and click a dot to get and exact data for the day the chance of freeze drops below 50%.

Places where this milestone is reached before the first day of spring in mid-March appear in shades of purple, while places where it comes after that are colored in shades of green. Clearly, from the amount of green, the odds of freezing air temperature remain above 50 percent until after the solar start of spring in most of the Lower 48. As you’d expect, the farther north or higher in elevation you go, the later in the season (darker greens) this day generally arrives.

At the bottom of there is a link to Annual/Seasonal Normals and how to get data for this graph and for other cutoff percentages.

What is the connection between flu and humidity?

The NASA post NASA Finds Each State Has Its Climatic Threshold for Flu Outbreaks (3/4/2022) summarizes the recent paper Spatial Variation in Humidity and the Onset of Seasonal Influenza Across the Contiguous United States by E. Sherman, et. el (12/13/2021). From the NASA Post:

Researchers at NASA’s Jet Propulsion Laboratory in Southern California and the University of Southern California correlated AIRS measurements of water vapor in the lower atmosphere with flu case estimates for each week from 2003 to 2015. The researchers found that in each state, there is a specific level of low humidity that may signal a flu outbreak is imminent. When this threshold is crossed each year, a large increase in flu cases follows within two or three weeks, on average.

The graph here is from the paper. The x-axis is the humidity level and the y-axis is the number of flu cases. One interesting feature is that all states have this clear ben in the scatter plot. The paper could be interesting for a stats course or maybe an independent project for students. Data availability is at the bottom of the paper.

 

 

What’s new at NASA’s Scientific Visualization Studio?

The visualization here is Zonal Climate Anomalies by Mark SubbaRao (3/7/2022).

The visualization presents monthly zonal temperature anomalies between the years 1880-2021. The visualization illustrates that the Arctic is warming much faster than other regions of the Earth.

The page has a link to the data that was used to create the visualization.

How hot was Jan 2022?

From NOAA’s Global Climate Report – January 2022:

The global surface temperature for January 2022 was 0.89°C (1.60°F) above the 20th century average and the sixth highest for January since global records began in 1880. The last eight Januarys (2015–2022) rank among the 10 warmest Januarys on record.

Similar to 2021, the year 2022 began with an episode of a La Niña in the tropical Pacific Ocean. The El Niño-Southern Oscillation (ENSO) can affect global temperatures. La Niña tends to cool global temperatures slightly, while El Niño tends to boost global temperatures. With a slightly cool start to the year, there is only a 10% chance of 2022 ending as the warmest year on record. However, there is over 99% chance of the year ranking among the 10 warmest years on record.

Time series data available at the top of the page.

 

How do vaccination rate differ?

The Pew article Increasing Public Criticism, Confusion Over COVID-19 Response in U.S. by Alec Tyson and Cary Funk (2/9/2022) has the graph copied here, which seems unrelated to the title but is interesting. I’ll leave you to decide what is surprising and what isn’t. Further:

Some demographic differences in vaccination status are more pronounced within one partisan group than another. For instance, 80% of Republicans ages 65 and older say they have received a COVID-19 vaccine, compared with far fewer Republicans 18 to 29 (52%). There is a much more modest gap between the shares of Democrats 65 and older and those 18 to 29 who say they’ve received a vaccine (94% vs. 88%). See the Appendix for more details on vaccination status within partisan groups.

This all seems like good data for statistical tests. There are more  graphs, a methodology section, and more data.