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robfatland committed Jun 19, 2024
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4 changes: 2 additions & 2 deletions book/chapters/rob/anomaly.ipynb
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"id": "1c216635-59e5-4886-bbd5-634c54c5606b",
"metadata": {},
"source": [
"## anomaly\n",
"# Anomaly\n",
"\n",
"\n",
"This notebook generates anomaly metadata for an OOI RCA shallow profiler, typically scanning a time series lasting\n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.11.4"
}
},
"nbformat": 4,
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4 changes: 2 additions & 2 deletions book/chapters/rob/anomaly2.ipynb
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"id": "1c216635-59e5-4886-bbd5-634c54c5606b",
"metadata": {},
"source": [
"## anomaly\n",
"# Anomaly 2\n",
"\n",
"\n",
"The objective of this notebook is to generate anomaly data from a shallow profiler on a one month time scale. \n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
"version": "3.11.4"
}
},
"nbformat": 4,
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4 changes: 2 additions & 2 deletions book/chapters/rob/anomaly3.ipynb
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"id": "1c216635-59e5-4886-bbd5-634c54c5606b",
"metadata": {},
"source": [
"## anomaly\n",
"# Anomaly 3\n",
"\n",
"\n",
"The objective of this notebook is to generate anomaly data from a shallow profiler on a one month time scale. \n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.11.4"
}
},
"nbformat": 4,
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2 changes: 1 addition & 1 deletion book/chapters/rob/argo.ipynb
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"id": "respective-floating",
"metadata": {},
"source": [
"# Introduction\n",
"# ARGO\n",
"\n",
"This notebook brings ARGO drifter data into the picture.\n",
"\n",
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4 changes: 2 additions & 2 deletions book/chapters/rob/data.ipynb
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"cell_type": "markdown",
"metadata": {},
"source": [
"# Introduction\n",
"# Data\n",
"\n",
"\n",
"Data are pulled in as large files for ingest. These are external to the\n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.11.4"
}
},
"nbformat": 4,
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4 changes: 2 additions & 2 deletions book/chapters/rob/glodap.ipynb
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"id": "38126a96-6de0-4650-af7b-699d8a2282ef",
"metadata": {},
"source": [
"## Global Ocean Data Analysis Project\n",
"# GLODAP: Global Ocean Data Analysis Project\n",
"\n",
"\n",
"This notebook is a viewer for global ocean chemistry. It depends upon downloading local copies\n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
"version": "3.11.4"
}
},
"nbformat": 4,
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4 changes: 3 additions & 1 deletion book/chapters/rob/modis.ipynb
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"id": "aeeaa44e-7e6c-46dc-b1f1-bc88f9474642",
"metadata": {},
"source": [
"# Introduction\n",
"# MODIS\n",
"\n",
"## Introduction\n",
"\n",
"\n",
"This notebook concerns comparison of MODIS and VIIRS remote sensing observations\n",
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53 changes: 50 additions & 3 deletions book/chapters/rob/ocean_science.ipynb
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"[Jupyter Book](https://geo-smart.github.io/oceanography/intro.html) and [GitHub repo](https://github.com/geo-smart/oceanography).\n",
"\n",
"\n",
"Markdown A: USe `img` html to show Revelle: \n",
"Markdown A: Use `img` html to show Revelle? \n",
"\n",
"\n",
"\n",
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"Markdown B: Use a more complicated back-tick construct to show the Revelle:\n",
"\n",
"\n",
" \n",
"Backtick Try 1\n",
" \n",
"\n",
"<br>\n",
"\n",
"\n",
"```\n",
"{image} ../img/rca/images/vessels/revelle.png\n",
"{image} ./../../img/revelle.png\n",
":alt: revelle\n",
":class: bg-primary mb-1\n",
":width: 500px\n",
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"\n",
"<br><br><br>\n",
"\n",
" \n",
"\n",
"Backtick Try 2\n",
" \n",
"\n",
"<br>\n",
"\n",
"\n",
"```\n",
"{image} ./../img/revelle.png\n",
":alt: revelle\n",
":class: bg-primary mb-1\n",
":width: 500px\n",
":align: left\n",
"```\n",
"\n",
"<br><br><br>\n",
"\n",
" \n",
" \n",
"Backtick Try 3\n",
" \n",
"\n",
"<br>\n",
"\n",
"\n",
"```\n",
"{image} ./img/revelle.png\n",
":alt: revelle\n",
":class: bg-primary mb-1\n",
":width: 500px\n",
":align: left\n",
"```\n",
"\n",
"<br><br><br>\n",
" \n",
" \n",
" \n",
"Bang Try 1\n",
" \n",
"![Revelle](./../../img/revelle.png)\n",
"\n",
"\n",
"### To Do\n",
"\n",
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"\n",
"<BR>\n",
"<img src=\"./../../img/shallowprofilerinsitu.png\" style=\"float: left;\" alt=\"drawing\" width=\"400\"/>\n",
"<div style=\"clear: left\"><BR>\n",
"<div style=\"clear: left\">\n",
"<BR>\n",
"\n",
"\n",
"\n",
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2 changes: 1 addition & 1 deletion book/chapters/rob/roms.ipynb
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"id": "b5b7f9e1-63af-46e3-8452-c8ef703c23d8",
"metadata": {},
"source": [
"# Introduction\n",
"# ROMS Regional Ocean Modeling System\n",
"\n",
"\n",
"This notebook works with what Parker calls a 'mooring extraction'. The ROMS model operates on a vast area divided into a 3D grid of cells.\n",
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28 changes: 25 additions & 3 deletions book/chapters/rob/shallowprofiler.ipynb
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"id": "63f97121-dd06-44b0-9886-e9e996417339",
"metadata": {},
"source": [
"[Jupyter Book](https://geo-smart.github.io/oceanography/intro.html), [GitHub repo](https://github.com/geo-smart/oceanography).\n",
"# Shallow Profiler\n",
"\n",
"\n",
"[Jupyter Book](https://geo-smart.github.io/oceanography/intro.html), [GitHub repo](https://github.com/geo-smart/oceanography).\n",
"\n",
"## The OOI RCA Shallow Profiler\n",
"\n",
"\n",
"This notebook introduces physical and bio-optical data from the Ocean Observatories \n",
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"chlorophyll fluorescence and so on. \n",
"\n",
"\n",
"Try 1\n",
"\n",
" \n",
"<BR>\n",
"<img src=\"./img/shallowprofilerinsitu.png\" style=\"float: left;\" alt=\"drawing\" width=\"400\"/>\n",
"<div style=\"clear: left\">\n",
"<BR>\n",
" \n",
" \n",
"Try 2\n",
"\n",
" \n",
"<BR>\n",
"<img src=\"./../../img/shallowprofilerinsitu.png\" style=\"float: left;\" alt=\"drawing\" width=\"400\"/>\n",
"<div style=\"clear: left\"><BR>\n",
"<div style=\"clear: left\">\n",
"<BR>\n",
"\n",
" \n",
"Try 3\n",
" \n",
"\n",
"<BR>\n",
"<img src=\"./../img/shallowprofilerinsitu.png\" style=\"float: left;\" alt=\"drawing\" width=\"400\"/>\n",
"<div style=\"clear: left\">\n",
"<BR>\n",
"\n",
"\n",
"Photo taken by the Remotely Operated Vehicle (ROV) \"Ropos\" at a depth of 200 meters.\n",
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7 changes: 5 additions & 2 deletions book/chapters/rob/spectrophotometer.ipynb
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"id": "aba26e12-c3a3-4fd1-b7bd-467007e5a699",
"metadata": {},
"source": [
"# Introduction\n",
"# Spectrophotometer\n",
"\n",
"\n",
"## Introduction\n",
"\n",
"\n",
"This notebook concerns the interpretation of data acquired by an 'AC-S' \n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
"version": "3.11.4"
}
},
"nbformat": 4,
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