---
jupytext:
  text_representation:
    extension: .md
    format_name: myst
    format_version: 0.13
    jupytext_version: 1.18.1
---

```{code-cell}
import intake
import hvplot.pandas
import hvplot.xarray
import cook_inlet_catalogs as cic
import holoviews as hv
```

# HF Radar (UAF)

HF Radar from UAF.

Files are:

* Upper Cook Inlet (System A): 2002-2003 and 2009
* Lower Cook Inlet (System B): 2006-2007

Data variables available include tidally filtered and weekly averaged along with tidal constituents calculated from hourly data.

Several new datasets were derived in 2024 with the CIOFS freshwater project which narrow the full time datasets (`lower-ci_system-B_2006-2007.nc` and `upper-ci_system-A_2002-2003.nc`) in time to just 2003 and 2006, respectively, before running processing in Research Workspace and are otherwise identical. See processing notebook [https://researchworkspace.com/file/44879475/add_variables_to_notebooks_limited_time_range.ipynb](https://researchworkspace.com/file/44879475/add_variables_to_notebooks_limited_time_range.ipynb):
* lower-ci_system-B_2006_subtidal_daily_mean.nc
* lower-ci_system-B_2006_tidecons_base.nc
* lower-ci_system-B_2006_subtidal_weekly_mean.nc
* upper-ci_system-A_2003_subtidal_daily_mean
* upper-ci_system-A_2003_tidecons_base
* upper-ci_system-A_2003_subtidal_weekly_mean.nc
    
Some of the data is written up in reports:

* [https://espis.boem.gov/final%20reports/5009.pdf](https://espis.boem.gov/final%20reports/5009.pdf)
* [https://www.govinfo.gov/app/details/GOVPUB-I-47b721482d69e308aec1cca9b3e51955](https://www.govinfo.gov/app/details/GOVPUB-I-47b721482d69e308aec1cca9b3e51955)

![pic](https://researchworkspace.com/files/40338104/UAcoverage.gif)



```{code-cell}
cat = intake.open_catalog(cic.utils.cat_path("hfradar"))
```

## Plot all datasets in catalog

```{code-cell}
dd, ddlabels = cic.utils.combine_datasets_for_map(cat)
dd.hvplot(**cat.metadata["map"]) * ddlabels.hvplot(**cat.metadata["maplabels"])
```

## List available datasets in the catalog

```{code-cell}
dataset_ids = list(cat)
dataset_ids
```

## Select one dataset to investigate

```{code-cell}
try:
    dataset_id = dataset_ids[2]
except:
    dataset_id = dataset_ids[0]
print(dataset_id)

dd = cat[dataset_id].read()
dd
```

## Plot one dataset

```{code-cell}
keys = list(cat[dataset_id].metadata["plots"].keys())
print(keys)

plots = []
for key in keys:
    plot_kwargs = cat[dataset_id].metadata["plots"][key]
    if "clim" in plot_kwargs and isinstance(plot_kwargs["clim"], list):
        plot_kwargs["clim"] = tuple(plot_kwargs["clim"])
    if "dynamic" in plot_kwargs:
        plot_kwargs["dynamic"] = False
    plots.append(cat[dataset_id].ToHvPlot(**plot_kwargs).read())
hv.Layout(plots).cols(1)
```