Atmospheric Radiation Measurement (ARM) program

Knowledge graph centered on Atmospheric Radiation Measurement (ARM) program with 17 nodes and 34 connections. Top connected: Crested Butte, Phytoplankton, Gunnison, Ascension Island, Interpretable ensemble learning unveils main aeros.

Method synopsis

Continuous measurement of aerosol optical properties and cloud condensation nuclei concentrations using standardized ARM instrumentation across multiple global sites representing diverse atmospheric conditions.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure from a recent peer-reviewed implementation

Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Interpretable ensemble learning unveils main aerosol optical properties in predicting cloud condensation nuclei number concentration (2025), NPJ Climate and Atmospheric Science. Implementations in other papers (listed below) may differ.

1. Data collection from ARM sites
   Continuous observational measurements collected from five ARM sites: SGP (April 2017 to January 2021), GUC (September 2021 to October 2017), ENA (May 2016 to October 2017), ASI (data from 2016-2023), and MOS (October 2019 to October 2020). Total data points: 26,741 for SGP, 125,806 for ASI, and 55,163 for MOS.
   Quantities: Five sites total with varying data collection periods and sample sizesDuration: Multi-year continuous measurements from 2016-2023 depending on siteConditions: Diverse atmospheric conditions including continental, marine, and polar environments
   Equipment: Cloud Condensation Nuclei counter (CCNc), nephelometer, Particle soot absorption photometer (PSAP), humidified nephelometer system
2. Quality control and data filtering
   Data points exceeding three standard deviations from mean were removed. Missing values were considered outliers and removed. Only CCN data at supersaturation SS = 0.4% were retained for analysis. Data was temporally aligned and standardized across instruments.
   Quantities: Three standard deviation threshold for outlier detectionDuration: Applied to entire dataset during preprocessingConditions: Supersaturation level fixed at 0.4% for CCN measurements
   Equipment: statistical quality control algorithms

Typical Equipment

• Cloud Condensation Nuclei counter (CCNc)
• nephelometer
• Particle soot absorption photometer (PSAP)
• humidified nephelometer system

Output Measurements

• CCN concentration
• aerosol optical parameters
• scattering coefficients
• absorption coefficients

Papers Using This Protocol (1)

Species Studied With This Protocol

Places Where Used