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2e:{"id":"7cead391b26e01ad","slug":"the-earth-is-getting-warmer","title":"The Earth is getting warmer!","thumbnail":"49e3b8e7b5c25c76853ac31b4ed41e895e2facb91573182f4e68e995d0ccb899","access_level":"public","create_time":"$D2021-02-08T06:37:32.476Z","update_time":"$D2021-02-09T16:04:31.275Z","view_time":null,"first_public_time":"$D2021-02-09T16:04:58.596Z","has_unpublished_edits":null,"fork":false,"stars":1,"starred":false,"owner":{"type":"team","id":"d0ed12038dcd6d49","login":"xor97","name":"Azhar Khan","avatar_url":"https://avatars-next.observableusercontent.com/e7275c6ed12540346196603d1a00893556c3f910ea59481fabf8838668046d03","tier":"starter_2024"},"version":163,"publish_version":163,"role":null,"authored":false,"authors":[{"type":"individual","id":"e295d075a64a5248","login":"xor97","name":"Azhar Khan","avatar_url":"https://avatars-next.observableusercontent.com/e7275c6ed12540346196603d1a00893556c3f910ea59481fabf8838668046d03","tier":null}],"members":[{"type":"individual","id":"e295d075a64a5248","login":"xor97","name":"Azhar Khan","avatar_url":"https://avatars-next.observableusercontent.com/e7275c6ed12540346196603d1a00893556c3f910ea59481fabf8838668046d03","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"The Earth is getting warmer!","cells":[{"id":0,"value":"md`# The Earth is getting warmer!\n*A Simple visualizations showing how the earth is getting warmer over time.*\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":78,"value":"to_svg(partition_data(world_monthly, 6), 400)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":81,"value":"md`\nThe visualization above shows so-called warming stripes. Each stripe represents a period of time, the color indicates the period's mean temperature compared to the global mean. Temperatures below mean are shown in blue, termperatures above it in red. Time is sorted where recent years are shown on the right. \n\nThese kinds of visualizations were first introduced in a [blog post](http://www.climate-lab-book.ac.uk/2018/warming-stripes/) by [Ed Hawkins](https://twitter.com/ed_hawkins). They intentionally lack scales because their purpose is to show global warming as simple as possible. Warming stripes are available for a lot of regions of the world on [this website](https://showyourstripes.info/).\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":86,"value":"md`## World 🌎\n\nFirst, I wanted to recreate the most popular set of warming stripes that show the world's average yearly temperature. I've used the same data as Ed Hawkings, which is the HadCRUT dataset. This notebook contains both the monthly and yearly datasets (covering 1850-2021):\n\n**Data Source:** [The HadCRUT Dataset](https://www.metoffice.gov.uk/hadobs/hadcrut4/)
\n**Direct link** (*accessed 06/02/2021*): [monthly](https://www.metoffice.gov.uk/hadobs/hadcrut4/data/current/time_series/HadCRUT.4.6.0.0.monthly_ns_avg.txt ), [annual](https://www.metoffice.gov.uk/hadobs/hadcrut4/data/current/time_series/HadCRUT.4.6.0.0.annual_ns_avg.txt)\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":10,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":16,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":20,"value":"md`### Annual\n\nUsing the *world_annual* data and about ten lines of JavaScript, it's possible to create a visualization that almost exactly matches the [original](http://www.climate-lab-book.ac.uk/files/2018/05/globalcore.png):\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":58,"value":"to_svg(world_annual, 200)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":61,"value":"md`\n\nPretty neat, huh? But it's getting better:\n\n### Monthly\n\nUsing the *world_monthly* data, it's possible to create a more detailed visualization. The plot below shows the world's average temperatures *per month*. In the initial setting, each stripe represents a single month. While this may not look impressive on a phone screen, it's pretty nice on a larger monitor.\n\nBecause this is a live notebook, you can change the plot using the slider below. Dragging it to the right increases the number of months represented by a single stripe. \n\n> *Tip: Try using a slider value of 12 to produce a yearly plot!*`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":158,"value":"viewof world_monthly_slider = gen_slider(1, \"months(s)\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":160,"value":"to_svg(partition_data(world_monthly, world_monthly_slider), 200)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":31,"value":"md`

\n## Appendix\n\nThis section contains the code that makes everything work ;-)\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":35,"value":"d3 = require(\"d3@5\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":38,"value":"function gen_slider(default_val, text){\n let form = html``;\n form.oninput = () => {\n form.value = form.s.valueAsNumber;\n form.os.value = `${form.value}`;\n };\n form.oninput();\n return form;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":39,"value":"function partition_data(data, num_elmts){\n let array = [];\n for (let i=0; i a + b, 0)/slice.length);\n }\n return array;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":41,"value":"function to_svg(data, height){\n const fill = d3.scaleSequential(d3.interpolateViridis).domain([-2, 2]);\n var color = d3.scaleQuantize()\n .domain([Math.min.apply(Math, data), Math.max.apply(Math, data)])\n .range(color_scale);\n return html``;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":44,"value":"color_scale = [\"#08306b\", \"#08519c\", \"#2171b5\", \"#4292c6\", \"#6baed6\", \"#9ecae1\", \"#c6dbef\", \"#deebf7\", \"#fee0d2\", \"#fcbba1\", \"#fc9272\", \"#fb6a4a\", \"#ef3b2c\", \"#cb181d\", \"#a50f15\", \"#67000d\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":46,"value":"import { select } from \"@jashkenas/inputs\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W32","stdlib":"1"}} 2f:"$2e:body"