Overview: The Network for the Detection of Atmospheric Composition Change at 35 years: achievements and future strategy
Authors:
- Irina PetropavlovskikhIrina Petropavlovskikh
- Martine De MazièreMartine De Mazière
- Anne M. ThompsonAnne M. Thompson
- James W. HanniganJames W. Hannigan
- Reem A. HannunRHReem A. Hannun
- Wolfgang SteinbrechtWolfgang Steinbrecht
- Jean-Christopher LambertJean-Christopher Lambert
- Roeland Van MalderenRoeland Van Malderen
- Raul R. CorderoRaul R. Cordero
Open Access
- 22 June 2026
- journal article
- research article
- Published by Copernicus GmbH in Atmospheric Chemistry and Physics
- Vol. 26 (12) , 8637-8675
Abstract
Since 1991, continuous, consistently calibrated and openly archived ground-based measurements from the Network for the Detection of Atmospheric Composition Change (NDACC) have been collected to investigate processes responsible for decadal-scale changes, anomalies in atmospheric composition, and to validate satellite observations and model simulations. These measurements, from nearly 120 stations, support fundamental research in the area of stratospheric and tropospheric processes impacting ozone chemistry, greenhouse gases, atmospheric radiative forcing, air quality, and interactions with solar radiation and the entire Earth system. NDACC data are supplemented by observations from eleven global Cooperating Networks. The operational principles of Cooperating Networks are well aligned with NDACC objectives and protocols, focusing on data that (a) are high-quality, uniformly processed and traceable to reference standards; and (b) capture short-term (daily to interannual) anomalies and long-term trends. This paper summarizes the NDACC organizational structure. We also review the major accomplishments of NDACC since De Mazière et al. (2018), collaborative research with Cooperating Networks, and interactions with the satellite and modeling communities. Ground-based atmospheric composition monitoring is at a crossroads. Challenges include sustainability of human and financial resources required for complex and intensive data collection, technical issues including aging instrumentation, requirements for FAIR (findable, accessible, interoperable, reusable) data, and lack of data over large parts of Asia, Africa and South America. NDACC is well-positioned to adopt a three-pronged strategy going forward: protecting and modernizing existing stations; promoting the growing use of NDACC data; expanding the number of measured species and network coverage in under-sampled or under-reporting regions.Keywords
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Funding Information
- National Oceanic and Atmospheric Administration (NA19NES4320002)
- National Aeronautics and Space Administration (80NM0018D0004)
- Cooperative Institute for Research in Environmental Sciences (NA22OAR4320151)
This publication has 174 references indexed in Scilit:
- Relationship between ozone and biologically relevant UV at 4 NDACC sitesPhotochemical & Photobiological Sciences, 2022
- Optimization and impact assessment of Aeolus HLOS wind assimilation in NOAA's global forecast systemQuarterly Journal of the Royal Meteorological Society, 2022
- Can the data assimilation of CO from MOPITT or IASI constrain high-latitude wildfire emissions? A Case Study of the 2017 Canadian WildfiresESS Open Archive, 2022
- The impact of Aeolus wind retrievals on ECMWF global weather forecastsQuarterly Journal of the Royal Meteorological Society, 2021
- Global gridded anthropogenic emissions inventory of carbonyl sulfideAtmospheric Environment, 2018
- Chemical Mechanisms and Their Applications in the Goddard Earth Observing System (GEOS) Earth System ModelJournal of Advances in Modeling Earth Systems, 2017
- Large‐Scale Atmospheric Transport in GEOS Replay SimulationsJournal of Advances in Modeling Earth Systems, 2017
- Observations of the chemical composition of stratospheric aerosol particlesQuarterly Journal of the Royal Meteorological Society, 2013
- The contributions of chemistry and transport to low arctic ozone in March 2011 derived from Aura MLS observationsJournal of Geophysical Research: Atmospheres, 2013
- Lagrangian transport of water vapor and cloud water in the ECHAM4 GCM and its impact on the cold biasClimate Dynamics, 2007