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Completed T5 and made minor changes to other nbs, corrections, refere…
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nsea-log committed Jul 22, 2024
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11 changes: 5 additions & 6 deletions tutorials/W2D2_TheSocioeconomicsofClimateChange/W2D2_Intro.ipynb
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"execution": {}
},
"source": [
"## TODO Day Learning Objectives"
"## Day Learning Objectives"
]
},
{
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"execution": {}
},
"source": [
"1. Describe the logic behind the socioeconomic pathway framework, and explain how the pathways differ from one another in both climate and socioeconomic variables using CMIP6 data and integrated assessment modeling results, respectively (building off of W2D1).\n",
"2. Examine the strengths and weaknesses of integrated assessment modeling practice and compare models whose results are included in the IPCC reports and understand how these results impact the report’s conclusions.\n",
"3. Examine the socioeconomic factors at the origin of anthropogenic warming and a *Just Transition*.\n",
"\n"
"1. Describe the motivation behind the Shared Socioeconomic Pathway (SSP) framework, and explain how the 5 pathways differ from one another in both climate and socioeconomic aspects using CMIP6 data and integrated assessment modeling results, respectively.\n",
"2. Examine the strengths and weaknesses of SSP-focussed integrated assessment modeling practice and understand how these support and weaken the IPCC report’s conclusions, respectively.\n",
"3. Examine the socioeconomic factors at the origin of anthropogenic warming and a *Just Transition*."
]
}
],
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.19"
"version": "3.9.18"
}
},
"nbformat": 4,
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48 changes: 15 additions & 33 deletions tutorials/W2D2_TheSocioeconomicsofClimateChange/W2D2_Tutorial1.ipynb
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"cell_type": "code",
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"id": "368d0c90-ae7e-43d9-ada7-ad42c75f5f95",
"metadata": {
"execution": {}
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"outputs": [],
"source": [
"# import\n",
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"execution_count": null,
"id": "f831d869-6072-44f2-8568-ddf04ace1abb",
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"execution_count": null,
"id": "6db786f8-e5c4-42a9-9837-e41027b9ad4d",
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"execution_count": null,
"id": "e11e3bbb-ce8f-4404-8d04-b6f86d4a9ea9",
"metadata": {
"cellView": "form",
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"outputs": [],
"source": [
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"execution_count": null,
"id": "ea9d553f-c3eb-4723-a922-e81f97e1e3ba",
"metadata": {
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},
"outputs": [],
"source": [
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"execution_count": null,
"id": "e3fe59d0-0e89-48ec-b652-2ec007d4c6f3",
"metadata": {
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"outputs": [],
"source": [
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"execution_count": null,
"id": "52ca5582-816c-423c-9ed7-cda1c7319731",
"metadata": {
"cellView": "form",
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"cellView": "form"
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"source": [
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"execution_count": null,
"id": "f9b620a1-41ec-4ded-a186-7f598ceaa045",
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
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"outputs": [],
"source": [
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"execution_count": null,
"id": "9c6b2260-bdb0-4d7b-a07d-41551d5ccf92",
"metadata": {
"cellView": "form",
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"source": [
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"cell_type": "code",
"execution_count": null,
"id": "30a81fb8-c21b-490c-9297-a6705f114957",
"metadata": {
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"outputs": [],
"source": [
"# to_remove explanation\n",
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"execution_count": null,
"id": "2523a1bd-56cc-4594-b6d6-fa84288cadfb",
"metadata": {
"cellView": "form",
"execution": {}
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},
"outputs": [],
"source": [
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"execution_count": null,
"id": "05df13b5-14ce-4515-aaae-7cc9e3765445",
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"source": [
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"\n",
"download_link = f\"https://img.climateinteractive.org/2019/09/EnROADS-one-page-guide-to-control-panel-v11-dec-2021.pdf\"\n",
"render_link = f\"https://img.climateinteractive.org/2019/09/EnROADS-one-page-guide-to-control-panel-v11-dec-2021.pdf\"\n",
"# @markdown\n",
"out = widgets.Output()\n",
"with out:\n",
" print(f\"If you want to download a cheatsheet for the En-ROADS Control Panel:\\n{download_link}\")\n",
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"cell_type": "code",
"execution_count": null,
"id": "b17595a7-b326-4edb-9f80-b8e21f1d4e5e",
"metadata": {
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"metadata": {},
"outputs": [],
"source": [
"# to_remove explanation\n",
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"execution_count": null,
"id": "39410eaf-5020-4646-a821-b90df4c361f7",
"metadata": {
"cellView": "form",
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"cellView": "form"
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"outputs": [],
"source": [
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.19"
"version": "3.9.18"
}
},
"nbformat": 4,
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4 changes: 2 additions & 2 deletions tutorials/W2D2_TheSocioeconomicsofClimateChange/W2D2_Tutorial2.ipynb
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"\n",
"You might already have clicked through the toggles at the top of the control panel of En-ROADS and tried the different *Views* (Main graphs, Kaya graphs, Miniature graphs). Select now the **Kaya graphs** view and reset the simulator (click on the anti-clockwise circular arrow to 'Reset all policies & assumptions' or just reload the page/model [here](https://en-roads.climateinteractive.org/)).\n",
"\n",
"The Kaya graphs depict four drivers of growth in carbon dioxide emissions from energy use, which reflects about two-thirds of all greenhouse gas emissions (the remaining third of emissions are from land use changes and other gases, such as methane (CH4) and nitrous oxide (N2O), which are not considered here). The corresponding equation, the so-called [***Kaya identity***](https://en.wikipedia.org/wiki/Kaya_identity) below was developed by Yoichi Kaya:\n",
"The Kaya graphs depict four drivers of growth in carbon dioxide emissions from energy use, which reflects about two-thirds of all greenhouse gas emissions (the remaining third of emissions are from land use changes and other gases, such as methane (CH$_4$) and nitrous oxide (N$_2$O), which are not considered here). The corresponding equation, the so-called [***Kaya identity***](https://en.wikipedia.org/wiki/Kaya_identity) below was developed by Yoichi Kaya:\n",
"\n",
"***CO$_2$ Emissions from Energy = Global Population × GDP per Capita × Energy Intensity of GDP × Carbon Intensity of Energy***\n",
"\n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.19"
"version": "3.9.18"
}
},
"nbformat": 4,
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38 changes: 13 additions & 25 deletions tutorials/W2D2_TheSocioeconomicsofClimateChange/W2D2_Tutorial3.ipynb
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"source": [
"# Tutorial Objectives\n",
"\n",
"*Estimated timing of tutorial:* 15 minutes\n",
"*Estimated timing of tutorial:* 20 minutes\n",
"\n",
"The last tutorials covered the necessity for an energy transition to tackle the climate emergency and many solutions at once. As emissions accumulate, it becomes substantially harder to succeed the longer we take to make big changes. This tutorial explores the temporal dimension of action, here policies, by using the Climate Solution Simulator named [En-ROADS](https://www.climateinteractive.org/en-roads/).\n",
"\n",
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"cell_type": "code",
"execution_count": null,
"id": "062c4b1a-6239-4644-a0dd-03fe1342fe99",
"metadata": {
"execution": {}
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"outputs": [],
"source": [
"# import\n",
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"execution_count": null,
"id": "33ac31c0-ac52-447a-82d7-aec0b98dc6e6",
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
},
"outputs": [],
"source": [
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"execution_count": null,
"id": "8b4722fe-cbd5-484a-be6d-96ed7aafbf62",
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
},
"outputs": [],
"source": [
Expand All @@ -119,8 +115,7 @@
"execution_count": null,
"id": "053ee0ea-d704-45c8-8b4b-aad17216710d",
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
},
"outputs": [],
"source": [
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"execution_count": null,
"id": "5b50c362",
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
},
"outputs": [],
"source": [
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"execution_count": null,
"id": "74b1c5e6-ed8f-4ca8-bbab-a0a6c417dced",
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
},
"outputs": [],
"source": [
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"execution_count": null,
"id": "703ee8f2",
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
},
"outputs": [],
"source": [
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"execution_count": null,
"id": "9fd96992-bab2-4494-aeb5-997cc8689746",
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
},
"outputs": [],
"source": [
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"cell_type": "code",
"execution_count": null,
"id": "c97e6d3d-1718-479b-a19a-ffc6a082347b",
"metadata": {
"execution": {}
},
"metadata": {},
"outputs": [],
"source": [
"# to_remove explanation\n",
Expand All @@ -320,8 +309,7 @@
"execution_count": null,
"id": "867fc0d6-6802-4d3d-888b-be960ffd54e8",
"metadata": {
"cellView": "form",
"execution": {}
"cellView": "form"
},
"outputs": [],
"source": [
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"source": [
"# Summary\n",
"\n",
"In this tutorial, we discussed the temporal dimension of the carbon price implementation in order to understand why no policy might be a silver bullet to solve all problems but comes with various ethical and political implications. At last, we discussed a few limitations of the En-ROADs model approach."
"In this tutorial, we discussed the temporal dimension of the carbon price implementation in order to understand why no policy might be a silver bullet to solve all problems but comes with various ethical and political implications. "
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.19"
"version": "3.9.18"
}
},
"nbformat": 4,
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