Articles | Volume 17, issue 21
https://doi.org/10.5194/acp-17-13151-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-13151-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Nov 2017
Research article |
| 07 Nov 2017
Unveiling aerosol–cloud interactions – Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate
Matthew W. Christensen
CORRESPONDING AUTHOR
RAL Space, STFC Rutherford Appleton Laboratory, Harwell, OX11 0QX, UK
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, OX1 3PU, UK
David Neubauer
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, 8092, Switzerland
Caroline A. Poulsen
RAL Space, STFC Rutherford Appleton Laboratory, Harwell, OX11 0QX, UK
Gareth E. Thomas
RAL Space, STFC Rutherford Appleton Laboratory, Harwell, OX11 0QX, UK
Gregory R. McGarragh
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, OX1 3PU, UK
Adam C. Povey
National Centre for Earth Observation, University of Oxford, Oxford, OX1 3PU, UK
Simon R. Proud
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, OX1 3PU, UK
Roy G. Grainger
National Centre for Earth Observation, University of Oxford, Oxford, OX1 3PU, UK
Viewed
Total article views: 4,701 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 May 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,753 | 1,855 | 93 | 4,701 | 87 | 115 |
- HTML: 2,753
- PDF: 1,855
- XML: 93
- Total: 4,701
- BibTeX: 87
- EndNote: 115
Total article views: 3,357 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 07 Nov 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,201 | 1,094 | 62 | 3,357 | 77 | 80 |
- HTML: 2,201
- PDF: 1,094
- XML: 62
- Total: 3,357
- BibTeX: 77
- EndNote: 80
Total article views: 1,344 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 May 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 552 | 761 | 31 | 1,344 | 10 | 35 |
- HTML: 552
- PDF: 761
- XML: 31
- Total: 1,344
- BibTeX: 10
- EndNote: 35
Viewed (geographical distribution)
Total article views: 4,701 (including HTML, PDF, and XML)
Thereof 4,703 with geography defined
and -2 with unknown origin.
Total article views: 3,357 (including HTML, PDF, and XML)
Thereof 3,371 with geography defined
and -14 with unknown origin.
Total article views: 1,344 (including HTML, PDF, and XML)
Thereof 1,332 with geography defined
and 12 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
60 citations as recorded by crossref.
- Consistent signal of aerosol indirect and semi-direct effect on water clouds in the oceanic regions adjacent to the Indian subcontinent S. Rao & S. Dey 10.1016/j.atmosres.2019.104677
- Reply to “Comments on ‘Rethinking the Lower Bound on Aerosol Radiative Forcing’” B. Stevens 10.1175/JCLI-D-18-0185.1
- An Adaptive Dark-Target Algorithm for Retrieving Land AOD Applied to FY-4B/AGRI Data Y. Si et al. 10.1109/JSTARS.2024.3408251
- Building a cloud in the southeast Atlantic: understanding low-cloud controls based on satellite observations with machine learning J. Fuchs et al. 10.5194/acp-18-16537-2018
- Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al. 10.5194/acp-20-613-2020
- Observational evidence of strong forcing from aerosol effect on low cloud coverage T. Yuan et al. 10.1126/sciadv.adh7716
- Retrieved XCO2 Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite Mission J. Ke et al. 10.3390/atmos13091384
- Observational constraint on cloud susceptibility weakened by aerosol retrieval limitations P. Ma et al. 10.1038/s41467-018-05028-4
- Reducing uncertainties in satellite estimates of aerosol–cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations D. Painemal et al. 10.5194/acp-20-7167-2020
- Weak average liquid-cloud-water response to anthropogenic aerosols V. Toll et al. 10.1038/s41586-019-1423-9
- Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties M. Stengel et al. 10.5194/essd-12-41-2020
- Long-term (2006–2015) variations and relations of multiple atmospheric pollutants based on multi-remote sensing data over the North China Plain Y. Si et al. 10.1016/j.envpol.2019.113323
- Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models S. Park et al. 10.1016/j.scitotenv.2020.136516
- A cloud identification algorithm over the Arctic for use with AATSR–SLSTR measurements S. Jafariserajehlou et al. 10.5194/amt-12-1059-2019
- Influence of Spatial Resolution on Satellite-Based PM2.5 Estimation: Implications for Health Assessment H. Bai et al. 10.3390/rs14122933
- Cloud<i>_</i>cci ATSR-2 and AATSR data set version 3: a 17-year climatology of global cloud and radiation properties C. Poulsen et al. 10.5194/essd-12-2121-2020
- Unveiling aerosol–cloud interactions – Part 2: Minimising the effects of aerosol swelling and wet scavenging in ECHAM6-HAM2 for comparison to satellite data D. Neubauer et al. 10.5194/acp-17-13165-2017
- The role of anthropogenic aerosols in the anomalous cooling from 1960 to 1990 in the CMIP6 Earth system models J. Zhang et al. 10.5194/acp-21-18609-2021
- Opportunistic experiments to constrain aerosol effective radiative forcing M. Christensen et al. 10.5194/acp-22-641-2022
- Quantifying cloud adjustments and the radiative forcing due to aerosol–cloud interactions in satellite observations of warm marine clouds A. Douglas & T. L'Ecuyer 10.5194/acp-20-6225-2020
- Global evidence of aerosol-induced invigoration in marine cumulus clouds A. Douglas & T. L'Ecuyer 10.5194/acp-21-15103-2021
- Examining Intrinsic Aerosol‐Cloud Interactions in South Asia Through Multiple Satellite Observations Z. Pan et al. 10.1029/2017JD028232
- Direct Measurement of pH Evolution in Aerosol Microdroplets Undergoing Ammonium Depletion: A Surface-Enhanced Raman Spectroscopy Approach L. Li et al. 10.1021/acs.est.1c08626
- Machine-Learning Based Analysis of Liquid Water Path Adjustments to Aerosol Perturbations in Marine Boundary Layer Clouds Using Satellite Observations L. Zipfel et al. 10.3390/atmos13040586
- Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations H. Andersen et al. 10.5194/acp-23-10775-2023
- Untangling causality in midlatitude aerosol–cloud adjustments D. McCoy et al. 10.5194/acp-20-4085-2020
- Aerosol Optical Thickness Retrieval in Presence of Cloud: Application to S3A/SLSTR Observations M. Luffarelli et al. 10.3390/atmos13050691
- Spatiotemporally Resolved pH Measurement in Aerosol Microdroplets Undergoing Chloride Depletion: An Application of In Situ Raman Microspectrometry X. Jing et al. 10.1021/acs.analchem.2c03381
- Impact of Inclusion of the Indirect Effects of Sulfate Aerosol on Radiation and Cloudiness in the INMCM Model A. Poliukhov et al. 10.1134/S0001433822050097
- Satellite Observations of Cloud-Related Variations in Aerosol Properties T. Várnai & A. Marshak 10.3390/atmos9110430
- Evaluation of aerosol–cloud interactions in E3SM using a Lagrangian framework M. Christensen et al. 10.5194/acp-23-2789-2023
- Investigation of aerosol effects on diurnal cycle of precipitation amount, frequency and intensity over Central Africa S. Matho Lontio et al. 10.1007/s00382-024-07303-1
- Constraining the aerosol influence on cloud liquid water path E. Gryspeerdt et al. 10.5194/acp-19-5331-2019
- Reconciling Compensating Errors Between Precipitation Constraints and the Energy Budget in a Climate Model T. Michibata & K. Suzuki 10.1029/2020GL088340
- Aerosol impacts on warm-cloud microphysics and drizzle in a moderately polluted environment Y. Chen et al. 10.5194/acp-21-4487-2021
- Validation of satellite-retrieved CCN based on a cruise campaign over the polluted Northwestern Pacific ocean Y. Wang et al. 10.1016/j.atmosres.2021.105722
- Quantifying variations in shortwave aerosol–cloud–radiation interactions using local meteorology and cloud state constraints A. Douglas & T. L'Ecuyer 10.5194/acp-19-6251-2019
- Aerosols enhance cloud lifetime and brightness along the stratus-to-cumulus transition M. Christensen et al. 10.1073/pnas.1921231117
- Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods H. Jia et al. 10.1038/s41467-021-23888-1
- Predicting decadal trends in cloud droplet number concentration using reanalysis and satellite data D. McCoy et al. 10.5194/acp-18-2035-2018
- Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives D. Grosvenor et al. 10.1029/2017RG000593
- Snow-induced buffering in aerosol–cloud interactions T. Michibata et al. 10.5194/acp-20-13771-2020
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
- Separating radiative forcing by aerosol–cloud interactions and rapid cloud adjustments in the ECHAM–HAMMOZ aerosol–climate model using the method of partial radiative perturbations J. Mülmenstädt et al. 10.5194/acp-19-15415-2019
- Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites H. Bai et al. 10.5194/acp-18-1763-2018
- Realism of Lagrangian Large Eddy Simulations Driven by Reanalysis Meteorology: Tracking a Pocket of Open Cells Under a Biomass Burning Aerosol Layer J. Kazil et al. 10.1029/2021MS002664
- Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions G. Saponaro et al. 10.5194/acp-20-1607-2020
- Aerosol-cloud interaction in water clouds observed using ground-based, in-situ, and satellite-based observations over an Indian continental region R. Nandan et al. 10.1016/j.atmosres.2022.106436
- A seasonal analysis of aerosol-cloud-radiation interaction over Indian region during 2000–2017 S. Kant et al. 10.1016/j.atmosenv.2018.12.044
- Exploring Satellite-Derived Relationships between Cloud Droplet Number Concentration and Liquid Water Path Using a Large-Domain Large-Eddy Simulation S. Dipu et al. 10.16993/tellusb.27
- Aerosol microdroplets exhibit a stable pH gradient H. Wei et al. 10.1073/pnas.1720488115
- Analysis of Near-Cloud Changes in Atmospheric Aerosols Using Satellite Observations and Global Model Simulations T. Várnai & A. Marshak 10.3390/rs13061151
- Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China Y. Liu et al. 10.5194/acp-24-4651-2024
- Evaluation of the MISR fine resolution aerosol product using MODIS, MISR, and ground observations over China Y. Si et al. 10.1016/j.atmosenv.2019.117229
- Global Estimates of Changes in Shortwave Low‐Cloud Albedo and Fluxes Due to Variations in Cloud Droplet Number Concentration Derived From CERES‐MODIS Satellite Sensors D. Painemal 10.1029/2018GL078880
- Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations H. Jia et al. 10.5194/acp-22-7353-2022
- An Improved Aerosol Retrieval Algorithm Based on Nonlinear Surface Model From FY-3D/MERSI-II Remote Sensing Data Y. Si et al. 10.1109/TGRS.2024.3367883
- Evaluation of liquid cloud albedo susceptibility in E3SM using coupled eastern North Atlantic surface and satellite retrievals A. Varble et al. 10.5194/acp-23-13523-2023
- Assessment of aerosol–cloud–radiation correlations in satellite observations, climate models and reanalysis F. Bender et al. 10.1007/s00382-018-4384-z
- The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
58 citations as recorded by crossref.
- Consistent signal of aerosol indirect and semi-direct effect on water clouds in the oceanic regions adjacent to the Indian subcontinent S. Rao & S. Dey 10.1016/j.atmosres.2019.104677
- Reply to “Comments on ‘Rethinking the Lower Bound on Aerosol Radiative Forcing’” B. Stevens 10.1175/JCLI-D-18-0185.1
- An Adaptive Dark-Target Algorithm for Retrieving Land AOD Applied to FY-4B/AGRI Data Y. Si et al. 10.1109/JSTARS.2024.3408251
- Building a cloud in the southeast Atlantic: understanding low-cloud controls based on satellite observations with machine learning J. Fuchs et al. 10.5194/acp-18-16537-2018
- Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al. 10.5194/acp-20-613-2020
- Observational evidence of strong forcing from aerosol effect on low cloud coverage T. Yuan et al. 10.1126/sciadv.adh7716
- Retrieved XCO2 Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite Mission J. Ke et al. 10.3390/atmos13091384
- Observational constraint on cloud susceptibility weakened by aerosol retrieval limitations P. Ma et al. 10.1038/s41467-018-05028-4
- Reducing uncertainties in satellite estimates of aerosol–cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations D. Painemal et al. 10.5194/acp-20-7167-2020
- Weak average liquid-cloud-water response to anthropogenic aerosols V. Toll et al. 10.1038/s41586-019-1423-9
- Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties M. Stengel et al. 10.5194/essd-12-41-2020
- Long-term (2006–2015) variations and relations of multiple atmospheric pollutants based on multi-remote sensing data over the North China Plain Y. Si et al. 10.1016/j.envpol.2019.113323
- Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models S. Park et al. 10.1016/j.scitotenv.2020.136516
- A cloud identification algorithm over the Arctic for use with AATSR–SLSTR measurements S. Jafariserajehlou et al. 10.5194/amt-12-1059-2019
- Influence of Spatial Resolution on Satellite-Based PM2.5 Estimation: Implications for Health Assessment H. Bai et al. 10.3390/rs14122933
- Cloud<i>_</i>cci ATSR-2 and AATSR data set version 3: a 17-year climatology of global cloud and radiation properties C. Poulsen et al. 10.5194/essd-12-2121-2020
- Unveiling aerosol–cloud interactions – Part 2: Minimising the effects of aerosol swelling and wet scavenging in ECHAM6-HAM2 for comparison to satellite data D. Neubauer et al. 10.5194/acp-17-13165-2017
- The role of anthropogenic aerosols in the anomalous cooling from 1960 to 1990 in the CMIP6 Earth system models J. Zhang et al. 10.5194/acp-21-18609-2021
- Opportunistic experiments to constrain aerosol effective radiative forcing M. Christensen et al. 10.5194/acp-22-641-2022
- Quantifying cloud adjustments and the radiative forcing due to aerosol–cloud interactions in satellite observations of warm marine clouds A. Douglas & T. L'Ecuyer 10.5194/acp-20-6225-2020
- Global evidence of aerosol-induced invigoration in marine cumulus clouds A. Douglas & T. L'Ecuyer 10.5194/acp-21-15103-2021
- Examining Intrinsic Aerosol‐Cloud Interactions in South Asia Through Multiple Satellite Observations Z. Pan et al. 10.1029/2017JD028232
- Direct Measurement of pH Evolution in Aerosol Microdroplets Undergoing Ammonium Depletion: A Surface-Enhanced Raman Spectroscopy Approach L. Li et al. 10.1021/acs.est.1c08626
- Machine-Learning Based Analysis of Liquid Water Path Adjustments to Aerosol Perturbations in Marine Boundary Layer Clouds Using Satellite Observations L. Zipfel et al. 10.3390/atmos13040586
- Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations H. Andersen et al. 10.5194/acp-23-10775-2023
- Untangling causality in midlatitude aerosol–cloud adjustments D. McCoy et al. 10.5194/acp-20-4085-2020
- Aerosol Optical Thickness Retrieval in Presence of Cloud: Application to S3A/SLSTR Observations M. Luffarelli et al. 10.3390/atmos13050691
- Spatiotemporally Resolved pH Measurement in Aerosol Microdroplets Undergoing Chloride Depletion: An Application of In Situ Raman Microspectrometry X. Jing et al. 10.1021/acs.analchem.2c03381
- Impact of Inclusion of the Indirect Effects of Sulfate Aerosol on Radiation and Cloudiness in the INMCM Model A. Poliukhov et al. 10.1134/S0001433822050097
- Satellite Observations of Cloud-Related Variations in Aerosol Properties T. Várnai & A. Marshak 10.3390/atmos9110430
- Evaluation of aerosol–cloud interactions in E3SM using a Lagrangian framework M. Christensen et al. 10.5194/acp-23-2789-2023
- Investigation of aerosol effects on diurnal cycle of precipitation amount, frequency and intensity over Central Africa S. Matho Lontio et al. 10.1007/s00382-024-07303-1
- Constraining the aerosol influence on cloud liquid water path E. Gryspeerdt et al. 10.5194/acp-19-5331-2019
- Reconciling Compensating Errors Between Precipitation Constraints and the Energy Budget in a Climate Model T. Michibata & K. Suzuki 10.1029/2020GL088340
- Aerosol impacts on warm-cloud microphysics and drizzle in a moderately polluted environment Y. Chen et al. 10.5194/acp-21-4487-2021
- Validation of satellite-retrieved CCN based on a cruise campaign over the polluted Northwestern Pacific ocean Y. Wang et al. 10.1016/j.atmosres.2021.105722
- Quantifying variations in shortwave aerosol–cloud–radiation interactions using local meteorology and cloud state constraints A. Douglas & T. L'Ecuyer 10.5194/acp-19-6251-2019
- Aerosols enhance cloud lifetime and brightness along the stratus-to-cumulus transition M. Christensen et al. 10.1073/pnas.1921231117
- Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods H. Jia et al. 10.1038/s41467-021-23888-1
- Predicting decadal trends in cloud droplet number concentration using reanalysis and satellite data D. McCoy et al. 10.5194/acp-18-2035-2018
- Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives D. Grosvenor et al. 10.1029/2017RG000593
- Snow-induced buffering in aerosol–cloud interactions T. Michibata et al. 10.5194/acp-20-13771-2020
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
- Separating radiative forcing by aerosol–cloud interactions and rapid cloud adjustments in the ECHAM–HAMMOZ aerosol–climate model using the method of partial radiative perturbations J. Mülmenstädt et al. 10.5194/acp-19-15415-2019
- Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites H. Bai et al. 10.5194/acp-18-1763-2018
- Realism of Lagrangian Large Eddy Simulations Driven by Reanalysis Meteorology: Tracking a Pocket of Open Cells Under a Biomass Burning Aerosol Layer J. Kazil et al. 10.1029/2021MS002664
- Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions G. Saponaro et al. 10.5194/acp-20-1607-2020
- Aerosol-cloud interaction in water clouds observed using ground-based, in-situ, and satellite-based observations over an Indian continental region R. Nandan et al. 10.1016/j.atmosres.2022.106436
- A seasonal analysis of aerosol-cloud-radiation interaction over Indian region during 2000–2017 S. Kant et al. 10.1016/j.atmosenv.2018.12.044
- Exploring Satellite-Derived Relationships between Cloud Droplet Number Concentration and Liquid Water Path Using a Large-Domain Large-Eddy Simulation S. Dipu et al. 10.16993/tellusb.27
- Aerosol microdroplets exhibit a stable pH gradient H. Wei et al. 10.1073/pnas.1720488115
- Analysis of Near-Cloud Changes in Atmospheric Aerosols Using Satellite Observations and Global Model Simulations T. Várnai & A. Marshak 10.3390/rs13061151
- Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China Y. Liu et al. 10.5194/acp-24-4651-2024
- Evaluation of the MISR fine resolution aerosol product using MODIS, MISR, and ground observations over China Y. Si et al. 10.1016/j.atmosenv.2019.117229
- Global Estimates of Changes in Shortwave Low‐Cloud Albedo and Fluxes Due to Variations in Cloud Droplet Number Concentration Derived From CERES‐MODIS Satellite Sensors D. Painemal 10.1029/2018GL078880
- Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations H. Jia et al. 10.5194/acp-22-7353-2022
- An Improved Aerosol Retrieval Algorithm Based on Nonlinear Surface Model From FY-3D/MERSI-II Remote Sensing Data Y. Si et al. 10.1109/TGRS.2024.3367883
- Evaluation of liquid cloud albedo susceptibility in E3SM using coupled eastern North Atlantic surface and satellite retrievals A. Varble et al. 10.5194/acp-23-13523-2023
2 citations as recorded by crossref.
- Assessment of aerosol–cloud–radiation correlations in satellite observations, climate models and reanalysis F. Bender et al. 10.1007/s00382-018-4384-z
- The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
Latest update: 15 Nov 2024
Short summary
The cloud-aerosol pairing algorithm (CAPA) is developed to quantify the impact of near-cloud aerosol retrievals on satellite-based aerosol–cloud statistical relationships. We find that previous satellite-based radiative forcing estimates of aerosol–cloud interactions represented in key climate reports are likely exaggerated by up to 50 % due to including retrieval artefacts in the aerosols located near clouds. It is demonstrated that this retrieval artefact can be corrected in current products.
The cloud-aerosol pairing algorithm (CAPA) is developed to quantify the impact of near-cloud...
Altmetrics
Final-revised paper
Preprint