David Edwards is a Senior Scientist at the National Center for Atmospheric Research (NCAR). He is the Interim Director of the NCAR Earth System Laboratory and heads the Program for Atmospheric Composition and Remote Sensing (ACRESP). Edwards is also a former Science Advisor on the NCAR Executive Committee. He has 25 years experience in satellite remote sensing of atmospheric composition with contributions at every stage of mission development: science driven concept, instrument design, authoring science algorithms, and scientific utilization of measurements. He has been a Science Team member on a number of NASA and European satellite missions, and is particularly associated with the NASA Terra Measurements of Pollution in the Troposphere (MOPITT) satellite project. His personal research, reflected in more than 100 peer-reviewed publications, has emphasized investigations of trace gas and aerosol seasonal variations and global distributions, with a particular interest in the effective integration of measurements from different observational platforms using chemical transport models and data assimilation techniques. Edwards is active on numerous panels and committees related to atmospheric chemistry, global change, pollution, and remote sensing. He currently co-leads the NASA GEO-CAPE mission Science Working Group and contributes to other international missions with the goal of achieving global coverage of atmospheric pollution through a constellation of geostationary platforms.
Atmospheric Composition Remote Sensing & Prediction (ACRESP)
I am Section Head of the Atmospheric Composition Remote Sensing & Prediction
(ACRESP) Program at NCAR. Follow this link to find out more about my personal and group research.
The Measurement of Pollution in the Troposphere (MOPITT) Mission
I am a NASA co-investigator of the MOPITT instrument on the NASA Terra satellite. Follow the MOPITT link for more information on the mission, details of how to obtain the data, and related publications and images.
Tropospheric Chemistry and Transport
My research concentrates on the scientific utilization of tropospheric remote sensing data with emphasis on the cross-scale combination of measurements from multiple satellite platforms, aircraft and ground-based stations.Research interests:
- Comparison of long-term global tropospheric CO and aerosol optical depth measurements made by the Terra satellite with the aim of characterizing the seasonal variations of sources and sinks of these important pollutants and quantifying inter-annual variability.
- Using satellite measurements of different ozone precursors and source indicators to examine tropospheric ozone chemistry and the observed geographical and seasonal variations in the tropospheric ozone distribution.
- Examining the long-range transport of pollution from intense emission sources, the effects of local and regional air pollution on the global atmosphere, and also the effects of global pollution on regional air quality.
- Assessing the role of wildfire and biomass burning in determining atmospheric pollutant loadings and examining the response to climate variations.
Satellite Remote Sensing Science
My experience in the field of satellite remote sensing for atmospheric chemistry and dynamics includes contributions at every mission stage: science driven concept, instrument design, authoring science algorithms for data reduction, and scientific utilization of the measurements.Research interests:
- Quantifying satellite instrument performance through Observation System Simulation Experiments and investigation of the role of remote sensing as a component of an integrated atmospheric composition prediction capability for chemical weather.
- Atmospheric radiative transfer theory and modeling for planetary atmospheres, spectral line shape theory and modeling and molecular spectroscopy. Development of new, efficient and accurate approaches for fast radiative transfer modeling for operational retrieval codes and climate models.
- Middle atmosphere non-local thermodynamic equilibrium (non-LTE) processes and the implications for remote sensing and climate modeling, chemistry and photochemistry, and radiation balance.
- I am author of the state-of-the-art general line-by-line radiative transfer model GENLN2. This is used widely in the community and has applications in trace gas retrieval, radiative forcing studies, molecular spectroscopy, instrument design, reference calculations and coefficient generation for operational models. A new edition of this model, GENLN3, will soon be available to the community.