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New Precipitation Best Estimate Product Available for Evaluation

Published: 22 September 2025

Time-series plots generated using the PrecipBE Jupyter Notebook show the precipitation rate (top) and cumulative precipitation (bottom) during TRACER precipitation events on April 25–26 (left) and January 8–9 (right), 2022. The plots depict the event mean, mean ± standard deviation (σ), minimum, and maximum (see legend), which are all included in the precipbetseries datastream files.
Time-series plots generated using the PrecipBE Jupyter Notebook show the precipitation rate (top) and cumulative precipitation (bottom) during TRACER precipitation events on April 25–26 (left) and January 8–9 (right), 2022. The plots depict the event mean, mean ± standard deviation (σ), minimum, and maximum (see legend), which are all included in the precipbetseries datastream files. Images are from Israel Silber, Pacific Northwest National Laboratory.

A new evaluation value-added product (VAP) from the Atmospheric Radiation Measurement (ARM) User Facility provides time-series data and statistics on precipitation events measured at ground level.

Processed using a per-event approach as opposed to full processing of data with different units, observables, and resolutions, the Precipitation Best Estimate (PrecipBE) VAP cuts overhead and streamlines the use of ARM precipitation data for process understanding and model evaluation studies. It integrates all available precipitation data from an ARM site while incorporating ARM Data Quality Reports and data validity considerations.

The PrecipBE VAP creates two daily data products:

  1. The precipbetseries product provides time-series data on the minimum, maximum, mean, and standard deviation of per-event cumulative precipitation and precipitation rates at one-minute resolution.
  2. The precipbestats product includes per-event statistics in an easy-to-use, one-dimensional (tabular) format. Statistics include the minimum, maximum, mean, and standard deviation of precipitation event periods, mean precipitation rates, one-minute maximum precipitation rates, and event total amounts. This datastream also includes ancillary data corresponding to each precipitation event, such as event mean, minimum, maximum, and standard deviation of temperature; relative humidity; and a selected set of drop size distribution moments derived from ARM’s Laser and Video Disdrometer Quantities VAPs (where available). Because this datastream generates files only for days with precipitation, the precipbestats data sets have slightly shorter date ranges than the precipbetseries data.

A Jupyter Notebook demonstrating use of the PrecipBE VAP is available on the ARM-Notebooks GitHub repository.

Initial PrecipBE evaluation data are now available for:

The TRACER data are c1-level because the precipitation input data were validated and characterized for data quality issues. The BNF and SGP data are c0-level because they have not yet been fully evaluated for possible instrument issues not captured in existing ARM Data Quality Reports that could influence the PrecipBE quantities in the BNF and newer SGP data. Further evaluation of the BNF and SGP data is ongoing; scientists are encouraged to contact ARM if they notice any issues in these data.

More information about PrecipBE is available on the VAP web page.

Access the data in the ARM Data Center. (To download the data, first create an ARM account.)

For questions or to report data issues before the VAP moves to production, please contact Israel Silber.

The precipbetseries data can be referenced as doi:10.5439/2523643 (c0-level) and 10.5439/2523642 (c1-level). The precipbestats data can be referenced as doi:10.5439/2523641 (c0-level) and 10.5439/2523640 (c1-level).

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ARM is a DOE Office of Science user facility operated by nine DOE national laboratories.

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Atmospheric Radiation Measurement (ARM) | Reviewed March 2025