Articles with public access mandates - Cynthia A. RandlesLearn more
Recused: 1
Evaluation of the surface PM2. 5 in Version 1 of the NASA MERRA Aerosol Reanalysis over the United States
V Buchard, AM Da Silva, CA Randles, P Colarco, R Ferrare, J Hair, ...
Atmospheric Environment 125, 100-111, 2016
Mandates: US National Aeronautics and Space Administration
Responsible authors: AM Da Silva
Available somewhere: 20
The modern-era retrospective analysis for research and applications, version 2 (MERRA-2)
R Gelaro, W McCarty, MJ Suárez, R Todling, A Molod, L Takacs, ...
Journal of climate 30 (14), 5419-5454, 2017
Mandates: US National Aeronautics and Space Administration
The MERRA-2 aerosol reanalysis, 1980 onward. Part I: System description and data assimilation evaluation
CA Randles, AM Da Silva, V Buchard, PR Colarco, A Darmenov, ...
Journal of climate 30 (17), 6823-6850, 2017
Mandates: US Department of Energy, US National Aeronautics and Space Administration
The MERRA-2 aerosol reanalysis, 1980 onward. Part II: Evaluation and case studies
V Buchard, CA Randles, AM Da Silva, A Darmenov, PR Colarco, ...
Journal of climate 30 (17), 6851-6872, 2017
Mandates: US National Aeronautics and Space Administration
Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis
V Buchard, AM Da Silva, PR Colarco, A Darmenov, CA Randles, ...
Atmospheric Chemistry and Physics 15 (10), 5743-5760, 2015
Mandates: US National Aeronautics and Space Administration
Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space
DH Cusworth, DJ Jacob, DJ Varon, C Chan Miller, X Liu, K Chance, ...
Atmospheric Measurement Techniques 12 (10), 5655-5668, 2019
Mandates: US National Aeronautics and Space Administration, State of Califonia
Multisatellite imaging of a gas well blowout enables quantification of total methane emissions
DH Cusworth, RM Duren, AK Thorpe, S Pandey, JD Maasakkers, I Aben, ...
Geophysical Research Letters 48 (2), e2020GL090864, 2021
Mandates: US National Aeronautics and Space Administration, Netherlands Organisation …
Detecting high-emitting methane sources in oil/gas fields using satellite observations
DH Cusworth, DJ Jacob, JX Sheng, J Benmergui, AJ Turner, J Brandman, ...
Atmospheric Chemistry and Physics 18 (23), 16885-16896, 2018
Mandates: US Department of Energy, US National Aeronautics and Space Administration
Observations of the interaction and transport of fine mode aerosols with cloud and/or fog in Northeast Asia from Aerosol Robotic Network and satellite remote sensing
TF Eck, BN Holben, JS Reid, P Xian, DM Giles, A Sinyuk, A Smirnov, ...
Journal of Geophysical Research: Atmospheres 123 (10), 5560-5587, 2018
Mandates: US Department of Defense, US National Aeronautics and Space Administration
Assessing the capability of different satellite observing configurations to resolve the distribution of methane emissions at kilometer scales
AJ Turner, DJ Jacob, J Benmergui, J Brandman, L White, CA Randles
Atmospheric Chemistry and Physics 18 (11), 8265-8278, 2018
Mandates: US National Science Foundation, US Department of Energy
A global model–measurement evaluation of particle light scattering coefficients at elevated relative humidity
MA Burgos, E Andrews, G Titos, A Benedetti, H Bian, V Buchard, G Curci, ...
Atmospheric Chemistry and Physics 20 (17), 10231-10258, 2020
Mandates: US Department of Energy, Swiss National Science Foundation, US National …
Surface warming and wetting due to methane’s long-wave radiative effects muted by short-wave absorption
RJ Allen, X Zhao, CA Randles, RJ Kramer, BH Samset, CJ Smith
Nature Geoscience 16 (4), 314-320, 2023
Mandates: US National Science Foundation, US National Aeronautics and Space …
Large sub-regional differences of ammonia seasonal patterns over India reveal inventory discrepancies
CA Beale, F Paulot, CA Randles, R Wang, X Guo, L Clarisse, ...
Environmental Research Letters 17 (10), 104006, 2022
Mandates: US National Aeronautics and Space Administration, US National Oceanic and …
Integrated Methane Inversion (IMI 1.0): a user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations
DJ Varon, DJ Jacob, M Sulprizio, LA Estrada, WB Downs, L Shen, ...
Geoscientific Model Development 15 (14), 5787-5805, 2022
Mandates: US National Aeronautics and Space Administration
Automated machine learning to evaluate the information content of tropospheric trace gas columns for fine particle estimates over India: A modeling testbed
Z Zheng, AM Fiore, DM Westervelt, GP Milly, J Goldsmith, A Karambelas, ...
Journal of Advances in Modeling Earth Systems 15 (3), e2022MS003099, 2023
Mandates: US National Science Foundation
File specification for the MERRA aerosol reanalysis (MERRAero): MODIS AOD assimilation based on a MERRA replay
AM Da Silva, CA Randles, V Buchard, A Darmenov, PR Colarco, ...
Mandates: US National Aeronautics and Space Administration
Evaluating the detectability of methane point sources from satellite observing systems using microscale modeling
P Bhardwaj, R Kumar, DA Mitchell, CA Randles, N Downey, D Blewitt, ...
Scientific Reports 12 (1), 17425, 2022
Mandates: US National Science Foundation
Methane emissions from the Nord Stream subsea pipeline leaks
SJ Harris, S Schwietzke, JL France, N Velandia Salinas, ...
Nature, 1-7, 2025
Mandates: Swedish Research Council for Environment, Agricultural Sciences and Spatial …
Satellite quantification of methane emissions from South American countries: A high-resolution inversion of TROPOMI and GOSAT observations
SE Hancock, D Jacob, Z Chen, H Nesser, A Davitt, DJ Varon, ...
EGUsphere 2024, 1-33, 2024
Mandates: UK Natural Environment Research Council
Satellite quantification of methane emissions from South American countries: a high-resolution inversion of TROPOMI and GOSAT observations
SE Hancock, DJ Jacob, Z Chen, H Nesser, A Davitt, DJ Varon, ...
Atmospheric Chemistry and Physics 25 (2), 797-817, 2025
Mandates: UK Natural Environment Research Council
Publication and funding information is determined automatically by a computer program