Search NASASearch

DOE OSTI · 3362427

BNF Radar b1 Data Processing Report: Spring 2025

Abstract

The U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) User Facility supports atmospheric science through an integrated network of fixed and mobile observatories. These facilities collect continuous and campaign-based observations of atmospheric properties, with the goal of improving the representation of clouds, aerosols, precipitation, and radiation in Earth system models. The Bankhead National Forest (BNF) site, established as an ARM Mobile Facility (AMF) on 1 October 2024, is situated in a forested region of northern Alabama. Its strategic location in a southeastern U.S. environment characterized by complex terrain, diverse land cover, and frequent convective storms provides a valuable opportunity to examine coupled land-atmosphere processes under natural variability.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Rocque, Marqi [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Matthews, Alyssa [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Deng, Min [Brookhaven National Laboratory (BNL), Upton, NY (United States)], Feng, Ya-Chien [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Schuman, Eddie [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Lindenmaier, Iosif [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Wendler, Timothy [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Castro, Vagner [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Theisen, Adam [Argonne National Laboratory (ANL), Argonne, IL (United States)]. 2026-04-01. BNF Radar b1 Data Processing Report: Spring 2025. https://doi.org/10.2172/3362427

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

Water4Energy Step-1 Band-M Ready-to-Train Samples for TVA Weeks-to-Years Prediction, Version 0

AI-ready Band-M (monthly) labelled training pack for the Water4Energy Genesis Task-1 project on weeks-to-years prediction of Tennessee Valley temperature and precipitation. The deposit includes leakage-aware issue-time samples (samples_M_v0.nc; N=486), train-only scalers, issue-time split table, supporting monthly panels, and Python generation scripts to recreate the pack from the companion Tier-1 raw observation collection (https://doi.org/10.13139/ORNLNCCS/3398576). Each sample pairs a 12-month lookback of teleconnection indices and SST box anomalies with TVA-mean ERA5 anomaly targets (t2m, tp, msl) at leads 1–3 months.

54 ENVIRONMENTAL SCIENCES

Multi-Angle Snowflake Camera, particle analysis

The c1 level data product for the Mutli-Angle Snowflake Camera contains snowflake fall speeds and particle size, among other analysis for images associated with each hydrometeor.

54 ENVIRONMENTAL SCIENCES

Multi-Angle Snowflake Camera, time bins

The c1 level data product for the Mutli-Angle Snowflake Camera contains snowflake fall speeds and particle size, among other analysis for images associated with each hydrometeor.

54 ENVIRONMENTAL SCIENCES