Jim Java 👉@priscian 🦋 Bluesky 🦣 mastodon.social

#climeseries, an R package for downloading, aggregating, analyzing, and displaying latest monthly data from several climatological agencies. 1100 distinct data sets, available here as a spreadsheet: github.com/priscian/climeser…. Overview & columns: github.com/priscian/climeser… #climatedata

New GitHub repo detailing the work of @hausfath &al. evaluating many of the (often surprisingly accurate) historical climate models github.com/hausfath/old-mode…. Fig1: Implied transient climate response accuracy over time. Fig 2: Implied TCR per model w/ 95% CI's. (See "figures" dir.)

Reminder for when some climate denier posts journalistic climate "predictions" while ignoring what the scientists have actually said.

Steele is a loudmouth coward.

This Eagle Scout agrees.

Probably for the best.

Fig 1: Avg series of GHCN-m v4 stations in Japan, gridded & latitude-weighted, w/ 95% CIs; wholly rural stations green (N=29), urban blue (N=142). Trends 1970–: rural & urban about the same, w/ overlapping CI's. Fig 2: No. of stations avg'd at each time point. Fig 3: Station map.

Fig 1: Global avg series of long-term (1920–2020, 90% of yrs have 12 mos) GHCN-m v4 stations, adjusted & unadj., compared to GISTEMPv4 series. Fig 2: Station counts for unadj. series, showing N=856 long stations 1920–2020. Anomalies on 1981–2010 baseline; gridded, lat. weighted.

It's that time of year again! (Adapted from Dixon & Hood: 𝘔𝘢𝘯 𝘈𝘧𝘵𝘦𝘳 𝘔𝘢𝘯: 𝘈𝘯 𝘈𝘯𝘵𝘩𝘳𝘰𝘱𝘰𝘭𝘰𝘨𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘍𝘶𝘵𝘶𝘳𝘦. St Martin's Press, 1990.)

Fig 1: Avg temperature time series, raw & adjusted temps, of GHCN-m v4 stations in Australia (N=926), gridded & latitude-weighted, w/ 95% CI's & LOESS trend. Fig 2: No. of stations avg'd at each time point. Fig 3: Map of included stations.

Fig 1: Avg temperature time series, raw & adjusted temps, of GHCN-m v4 stations in the United Kingdom (N=163), gridded & latitude-weighted, w/ 95% CI's & LOESS trend. Fig 2: No. of stations avg'd at each time point. Fig 3: Map of included stations.

Fig 1: Avg temperature time series of GHCN v4 stations, raw & adjusted, in Canada (N=2.5 k), gridded & latitude-weighted, w/ 95% CI's & LOESS trend. Fig 2: No. of stations avg'd at each time point. Fig 3: Map of included stations.

Fig 1: Global avg series of all GHCN-m v4 met stations—adjusted & unadj.—compared to official GISTEMPv4 series. Fig 2: Station counts for the unadj. series, w/ max N=20k. Fig 3: Station dist'n. Anomalies 1951–1980 baseline; gridded, latitude-weighted. Code github.com/priscian/climeser…

I've updated the "climeseries" R package for the first time in months. climeseries includes > 1100 individual monthly climate time series that have been updated to their latest versions; the data can be downloaded to use w/ any analysis package you want. xitter.twitterapi.xyz/priscian/status/192146…

The influence of exogenous factors characterizing ENSO, volcanic activity, & solar can be removed from the major GAT series (v. Foster & Rahmstorf 2011 dx.doi.org/10.1088/1748-9326…), but only the noise is reduced, not the warming trend. Cf. the orig. series & the adj., 1st fig vs 2nd.

@Lance_Macho 😂

Be there or be 🟥

"AGW is not a theory in the colloquial sense—it is a direct consequence of applying fundamental physical laws to measured changes in atmospheric composition. These laws are not debated.… The only scientific debates concern feedback strengths, regional impacts & future emissions"

Represent!