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Working with multiple ARM files and Xarray

When working with multiple ARM files such as the datastream sgpmfrsraod1michE13.c1, errors can occur depending on the parameters used to read in the files. ACT uses xarray open_mfdataset to read in multiple files and feeds these parameters into the xarray function. Parameters such as combine (how xarray combines the files), data_vars (whether to attempt to combine all variables despite dimensions), and much more. Depending on how coordinates and dimensions are in the files, such as multiple dimensions outside of time, the default reader in ACT and xarray can fail.

Lets start by looking at one singular file in for our sgpmfrsraod1michE13.c1 datastream:

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2025 ARM Open Science in the Forest Summer School

The 2025 ARM Open Science Summer School focused on the newly established ARM Bankhead National Forest (BNF) observatory, charging students to explore earth science processes within the forest canopy utilizing BNF’s unique observations.

Hence Open Science in the Forest.

arm-bnf

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Exploration of data from the 2024 eclipse at SGP

The 2024 solar eclipse was an exciting event that saw roughly 90% coverage at ARM’s SGP observatory. The large array of instrumentation at the site provides a unique view into the atmospheric impacts of the eclipse. This notebook gathers a few of the instruments together for a close look at the data during the event.

If you have not used the ARM Live webservice before, please take a moment to check it out and login (https://adc.arm.gov/armlive/). Please insert your own username and token after you log in below.

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Visualize and compare data from the SAIL campaign and NOAA

When reading and analyzing data, its is useful to bring together data from different organizations. This not only expands the data available for scientists and their research, but is also useful for quality controls checks. In this notebook, we look at both the datasets produce by ARM instruments in the SAIL campaign as well as instruments provided by NOAA at their KPS site near the SAIL campaign location.

By comparing these datasets, we can see similar and differences between the two datasets, but overall the structure is comparable. We can see the usefulness of ACT to not only read ARM datasets, but datasets outside of ARM. These workflows allow for scientists to have many different tools to use different datasets for their research, as well as quality control checks which increases the confidence in the quality and calibration of the instrumentation.

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New Docs

Hello All!

Welcome to our new documentation page! This is a new section within the docs meant for:

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