Articles | Volume 19, issue 2
https://doi.org/10.5194/amt-19-485-2026
https://doi.org/10.5194/amt-19-485-2026
Research article
 | 
21 Jan 2026
Research article |  | 21 Jan 2026

Synthesis of ARM User Facility Surface Rainfall Datasets to Construct a Best Estimate Value Added Product (PrecipBE)

Israel Silber, Jennifer M. Comstock, Adam K. Theisen, Michael R. Kieburtz, Zeen Zhu, and Jenni Kyrouac

Viewed

Total article views: 379 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
265 88 26 379 24 26
  • HTML: 265
  • PDF: 88
  • XML: 26
  • Total: 379
  • BibTeX: 24
  • EndNote: 26
Views and downloads (calculated since 10 Oct 2025)
Cumulative views and downloads (calculated since 10 Oct 2025)

Viewed (geographical distribution)

Total article views: 379 (including HTML, PDF, and XML) Thereof 379 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Jan 2026
Download
Short summary
We present PrecipBE, a multi-instrument precipitation event best-estimate data product developed at the Atmospheric Radiation Measurement (ARM) User Facility, providing time series and tabular statistics of events, which could help advance model evaluation and cloud-process studies. We demonstrate PrecipBE's utilization with a brief 30-year trend analysis of ARM Southern Great Plains (SGP) site data, suggesting shorter, less intense events, but rising annual rainfall, driven by rare extremes.
Share