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more on data.ipynb
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robfatland committed Jul 7, 2024
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5 changes: 1 addition & 4 deletions book/_toc.yml
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chapters:
- file: chapters/ocean_science
- file: chapters/data
- file: chapters/shallowprofiler
- file: chapters/epipelargosy
- file: chapters/anomaly
- file: chapters/anomaly2
- file: chapters/anomaly3
- file: chapters/annotation
- file: chapters/annotation2
- file: chapters/argo
- file: chapters/glodap
- file: chapters/modis
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"\n",
"\n",
"\n",
"# Anomaly\n",
"# Anomaly and Coincidence\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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886 changes: 591 additions & 295 deletions book/chapters/data.ipynb

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160 changes: 0 additions & 160 deletions book/chapters/data2.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",
"# Shallow Profiler\n",
"# Epipelargosy\n",
"\n",
"\n",
"> Wavering between the profit and the loss /\n",
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28 changes: 14 additions & 14 deletions book/chapters/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",
"> Author's note: This notebook establishes a science basis that the subsequent chapters will\n",
"address (by dint of laborious data wrangling). The chapter concludes with a list of subsequent\n",
"grouped chapters to establish a roadmap.\n",
"\n",
"\n",
"# Ocean Science\n",
"\n",
"\n",
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"The purpose of this Jupyter Book is to present research ideas in oceanography relative \n",
"to observational data from sensors. The underlying intent is to provide a reproducible \n",
"methodology; but this tends to take up all the oxygen in the room. So before diving in\n",
"let us frame out the science, starting with an ambitious question:<br><br><br>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"${\\Large \\textrm{How stable is the epipelagic ocean?}}$"
"let us frame out the science, starting with an ambitious question:\n",
"<br><br><br>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"${\\Large \\textrm{How stable is the epipelagic ocean?}}$\n",
"\n",
"<br>\n",
"\n",
"### The *epipelagic ocean* defined\n",
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"shape, and second that they occasionally exhibit anomalous structure. Anomalies are interesting\n",
"for a single sensor type say like temperature. However an anomaly that is present and persistent \n",
"across multiple sensor types (say temperature, salinity and Chlorophyll-A fluorescence) is\n",
"indicating ocean structure on some physical and temporal scale. \n"
"indicating ocean structure on some physical and temporal scale. "
]
},
{
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"## Agenda\n",
"\n",
"\n",
"This Geo-SMART Jupyter Book will proceed chapter-by-chapter to cover the following agenda:\n",
"\n",
"- Getting our feet wet\n",
" - Ocean Science (this chapter): Establish a heirarchy of research questions and terminology\n",
" - Shallow Profiler: Using a particular site and month-duration time frame: A first look at profile data\n",
" - Data: Describe the baseline data access path and an alternative 'zarr' path\n",
" - Anomaly: \n",
" - Data: Structure, necessity of profile metadata, sensors-to-measurements\n",
" - Epipelargosy: A sense of the structure of the epipelagic water column\n",
" - Anomaly and Coincidence: \n",
" - Annotation:\n",
"- Other observation systems\n",
" - ARGO:\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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