Articles | Volume 18, issue 14
https://doi.org/10.5194/acp-18-10615-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-10615-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
25 Jul 2018
Review article |
| 25 Jul 2018
| 25 Jul 2018
Status and future of numerical atmospheric aerosol prediction with a focus on data requirements
European Centre for Medium-Range Weather Forecasts, Reading, UK
Jeffrey S. Reid
Naval Research Laboratory, Monterey, CA, USA
Peter Knippertz
Karlsruhe Institute of Technology, Karlsruhe, Germany
John H. Marsham
University of Leeds, Leeds, UK
National Centre for Atmospheric Science, Leeds, UK
Francesca Di Giuseppe
European Centre for Medium-Range Weather Forecasts, Reading, UK
Samuel Rémy
Institut Pierre-Simon Laplace, CNRS/Sorbonne Université, Paris, France
Sara Basart
Barcelona Supercomputing Center, BSC, Barcelona, Spain
Olivier Boucher
Institut Pierre-Simon Laplace, CNRS/Sorbonne Université, Paris, France
Ian M. Brooks
University of Leeds, Leeds, UK
Laurent Menut
Laboratoire de Météorologie Dynamique, Ecole Polytechnique, IPSL Research University, Ecole Normale Supérieure, Université Paris-Saclay, Sorbonne Universités, UPMC Univ Paris 06, CNRS, Palaiseau, France
Lucia Mona
Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), C. da S. Loja, Tito Scalo (PZ), Italy
Paolo Laj
Univ. Grenoble-alpes, IGE, CNRS, IRD, Grenoble INP, Grenoble, France
Department of Physics, University of Helsinki, Helsinki, Finland
Gelsomina Pappalardo
Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), C. da S. Loja, Tito Scalo (PZ), Italy
Alfred Wiedensohler
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Alexander Baklanov
World Meteorological Organization, Geneva, Switzerland
Malcolm Brooks
UK Met Office, Exeter, UK
Peter R. Colarco
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Emilio Cuevas
Izaña Atmospheric Research Centre, AEMET, Santa Cruz de Tenerife, Spain
Arlindo da Silva
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Jeronimo Escribano
Institut Pierre-Simon Laplace, CNRS/Sorbonne Université, Paris, France
Johannes Flemming
European Centre for Medium-Range Weather Forecasts, Reading, UK
Nicolas Huneeus
Geophysics Department, University of Chile, Santiago, Chile
Center for Climate and Resilience Research (CR)2, Santiago, Chile
Oriol Jorba
Barcelona Supercomputing Center, BSC, Barcelona, Spain
Stelios Kazadzis
Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center, Switzerland, Davos, Switzerland
National Observatory of Athens, Greece
Stefan Kinne
Max-Planck-Institut für Meteorologie, Hamburg, Germany
Thomas Popp
German Aerospace Center (DLR), German Remote Sensing Data Center Atmosphere, Oberpfaffenhofen, Germany
Patricia K. Quinn
National Oceanic and Atmospheric Administration, Pacific Marine Environmental Laboratory, Seattle, WA, USA
Thomas T. Sekiyama
Japan Meteorological Agency/Meteorological Research Institute, Tsukuba, Japan
Taichu Tanaka
Japan Meteorological Agency/Meteorological Research Institute, Tsukuba, Japan
Enric Terradellas
Spanish Meteorological Agency, AEMET, Barcelona, Spain
Viewed
Total article views: 7,016 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Feb 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 5,076 | 1,827 | 113 | 7,016 | 94 | 85 |
- HTML: 5,076
- PDF: 1,827
- XML: 113
- Total: 7,016
- BibTeX: 94
- EndNote: 85
Total article views: 5,402 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Jul 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,949 | 1,354 | 99 | 5,402 | 79 | 72 |
- HTML: 3,949
- PDF: 1,354
- XML: 99
- Total: 5,402
- BibTeX: 79
- EndNote: 72
Total article views: 1,614 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Feb 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,127 | 473 | 14 | 1,614 | 15 | 13 |
- HTML: 1,127
- PDF: 473
- XML: 14
- Total: 1,614
- BibTeX: 15
- EndNote: 13
Viewed (geographical distribution)
Total article views: 7,016 (including HTML, PDF, and XML)
Thereof 6,976 with geography defined
and 40 with unknown origin.
Total article views: 5,402 (including HTML, PDF, and XML)
Thereof 5,359 with geography defined
and 43 with unknown origin.
Total article views: 1,614 (including HTML, PDF, and XML)
Thereof 1,617 with geography defined
and -3 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
52 citations as recorded by crossref.
- Earth-Observation-Based Estimation and Forecasting of Particulate Matter Impact on Solar Energy in Egypt P. Kosmopoulos et al. 10.3390/rs10121870
- Characterization of aerosol size properties from measurements of spectral optical depth: a global validation of the GRASP-AOD code using long-term AERONET data B. Torres & D. Fuertes 10.5194/amt-14-4471-2021
- Assimilating spaceborne lidar dust extinction can improve dust forecasts J. Escribano et al. 10.5194/acp-22-535-2022
- Sensitivity of aerosol optical depth trends using long-term measurements of different sun photometers A. Karanikolas et al. 10.5194/amt-15-5667-2022
- Inferring atmospheric dynamics from aerosol observations in 4D‐Var Ž. Zaplotnik et al. 10.1002/qj.3743
- Evaluating the effects of columnar NO2on the accuracy of aerosol optical properties retrievals T. Drosoglou et al. 10.5194/amt-16-2989-2023
- Marine Aerosol Production via Detrainment of Bubble Plumes Generated in Natural Seawater With a Forced‐Air Venturi A. Frossard et al. 10.1029/2019JD030299
- <i>A Tale of Two Dust Storms</i>: analysis of a complex dust event in the Middle East S. Miller et al. 10.5194/amt-12-5101-2019
- Non-Conventional Data for Farming-Related Air Pollution: Contributions to Modelling and Risk Assessment in the Lombardy Region, Italy D. Oxoli et al. 10.3390/environments11110229
- Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
- Novel estimation of aerosol processes with particle size distribution measurements: a case study with the TOMAS algorithm v1.0.0 D. McGuffin et al. 10.5194/gmd-14-1821-2021
- Multi-sectoral impact assessment of an extreme African dust episode in the Eastern Mediterranean in March 2018 A. Monteiro et al. 10.1016/j.scitotenv.2022.156861
- MEDEA randomised intervention study protocol in Cyprus, Greece and Israel for mitigation of desert dust health effects in adults with atrial fibrillation P. Anagnostopoulou et al. 10.1136/bmjopen-2022-069809
- Aerosol optical depth comparison between GAW-PFR and AERONET-Cimel radiometers from long-term (2005–2015) 1 min synchronous measurements E. Cuevas et al. 10.5194/amt-12-4309-2019
- Assessment of severe aerosol events from NASA MODIS and VIIRS aerosol products for data assimilation and climate continuity A. Gumber et al. 10.5194/amt-16-2547-2023
- Environmental Inequalities in Kathmandu, Nepal—Household Perceptions of Changes Between 2013 and 2021 J. Flacke et al. 10.3389/frsc.2022.835534
- COST Lecture 2019 AE GM Barcelona: International Network to Encourage the Use of Monitoring and Forecasting Dust Products (InDust) A. Nemuc et al. 10.1017/S1062798720000733
- Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP) P. Xian et al. 10.1002/qj.3497
- Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system A. Tsikerdekis et al. 10.5194/acp-21-2637-2021
- Accounting for fuel in fire danger forecasts: the fire occurrence probability index (FOPI) F. Di Giuseppe 10.1088/1748-9326/acd2ee
- Introducing the MISR level 2 near real-time aerosol product M. Witek et al. 10.5194/amt-14-5577-2021
- The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007–2016) E. Di Tomaso et al. 10.5194/essd-14-2785-2022
- Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network Ó. Alvárez et al. 10.5194/amt-16-4861-2023
- Impact of assimilating NOAA VIIRS aerosol optical depth (AOD) observations on global AOD analysis from the Copernicus Atmosphere Monitoring Service (CAMS) S. Garrigues et al. 10.5194/acp-23-10473-2023
- Assessment of the Meteorological Impact on Improved PM2.5 Air Quality Over North China During 2016–2019 Based on a Regional Joint Atmospheric Composition Reanalysis Data‐Set X. Kou et al. 10.1029/2020JD034382
- Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang 10.1016/j.glt.2020.11.001
- How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies A. Sayer 10.1029/2020EA001290
- Variability and combination as an ensemble of mineral dust forecasts during the 2021 CADDIWA experiment using the WRF 3.7.1 and CHIMERE v2020r3 models L. Menut 10.5194/gmd-16-4265-2023
- Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product M. Garay et al. 10.5194/amt-13-593-2020
- Comparison of dust optical depth from multi-sensor products and MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) dust reanalysis over North Africa, the Middle East, and Europe M. Mytilinaios et al. 10.5194/acp-23-5487-2023
- The Langley ratio method, a new approach for transferring photometer calibration from direct sun measurements A. Almansa et al. 10.5194/amt-17-659-2024
- Parameterizations for sea spray aerosol production flux A. Song et al. 10.1016/j.apgeochem.2023.105776
- VIIRS Deep Blue Aerosol Products Over Land: Extending the EOS Long‐Term Aerosol Data Records N. Hsu et al. 10.1029/2018JD029688
- Implementation and application of ensemble optimal interpolation on an operational chemistry weather model for improving PM2.5 and visibility predictions S. Li et al. 10.5194/gmd-16-4171-2023
- Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. 10.1029/2018JD029465
- Convective distribution of dust over the Arabian Peninsula: the impact of model resolution J. Bukowski & S. van den Heever 10.5194/acp-20-2967-2020
- Exploring analog-based schemes for aerosol optical depth forecasting with WRF-Chem A. Raman et al. 10.1016/j.atmosenv.2020.118134
- Machine learning-enabled real-time detection of cloud and aerosol layers using airborne lidar M. McGill et al. 10.3389/frsen.2023.1116817
- Simulating Heavy Rainfall Associated with Tropical Cyclones and Atmospheric Disturbances in Thailand Using the Coupled WRF-ROMS Model—Sensitivity Analysis of Microphysics and Cumulus Parameterization Schemes K. Torsri et al. 10.3390/atmos14101574
- 15-Year Analysis of Direct Effects of Total and Dust Aerosols in Solar Radiation/Energy over the Mediterranean Basin K. Papachristopoulou et al. 10.3390/rs14071535
- Assimilation of Both Column‐ and Layer‐Integrated Dust Opacity Observations in the Martian Atmosphere T. Ruan et al. 10.1029/2021EA001869
- A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
- The challenge of adopting mitigation and adaptation measures for the impacts of sand and dust storms in Eastern Mediterranean Region: a critical review A. Eleftheriou et al. 10.1007/s11027-023-10070-9
- Investigating the impact of Saharan dust aerosols on analyses and forecasts of African easterly waves by constraining aerosol effects in radiance data assimilation D. Grogan et al. 10.5194/acp-22-2385-2022
- Is Summer African Dust Arriving Earlier to Barbados? The Updated Long-Term In Situ Dust Mass Concentration Time Series from Ragged Point, Barbados, and Miami, Florida P. Zuidema et al. 10.1175/BAMS-D-18-0083.1
- Chemistry‐Weather Interacted Model System GRAPES_Meso5.1/CUACE CW V1.0: Development, Evaluation and Application in Better Haze/Fog Prediction in China H. Wang et al. 10.1029/2022MS003222
- A benchmark for testing the accuracy and computational cost of shortwave top-of-atmosphere reflectance calculations in clear-sky aerosol-laden atmospheres J. Escribano et al. 10.5194/gmd-12-805-2019
- A global analysis of climate-relevant aerosol properties retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories P. Laj et al. 10.5194/amt-13-4353-2020
- Biomass burning events measured by lidars in EARLINET – Part 1: Data analysis methodology M. Adam et al. 10.5194/acp-20-13905-2020
- Biomass Burning Measurements in Earlinet M. Adam et al. 10.1051/epjconf/202023705005
- Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. 10.5194/acp-19-14585-2019
- Bias in modeled solar radiation by non-resolved intra-daily AOD variability J. Ruiz-Arias 10.1016/j.solener.2020.04.082
52 citations as recorded by crossref.
- Earth-Observation-Based Estimation and Forecasting of Particulate Matter Impact on Solar Energy in Egypt P. Kosmopoulos et al. 10.3390/rs10121870
- Characterization of aerosol size properties from measurements of spectral optical depth: a global validation of the GRASP-AOD code using long-term AERONET data B. Torres & D. Fuertes 10.5194/amt-14-4471-2021
- Assimilating spaceborne lidar dust extinction can improve dust forecasts J. Escribano et al. 10.5194/acp-22-535-2022
- Sensitivity of aerosol optical depth trends using long-term measurements of different sun photometers A. Karanikolas et al. 10.5194/amt-15-5667-2022
- Inferring atmospheric dynamics from aerosol observations in 4D‐Var Ž. Zaplotnik et al. 10.1002/qj.3743
- Evaluating the effects of columnar NO2on the accuracy of aerosol optical properties retrievals T. Drosoglou et al. 10.5194/amt-16-2989-2023
- Marine Aerosol Production via Detrainment of Bubble Plumes Generated in Natural Seawater With a Forced‐Air Venturi A. Frossard et al. 10.1029/2019JD030299
- <i>A Tale of Two Dust Storms</i>: analysis of a complex dust event in the Middle East S. Miller et al. 10.5194/amt-12-5101-2019
- Non-Conventional Data for Farming-Related Air Pollution: Contributions to Modelling and Risk Assessment in the Lombardy Region, Italy D. Oxoli et al. 10.3390/environments11110229
- Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
- Novel estimation of aerosol processes with particle size distribution measurements: a case study with the TOMAS algorithm v1.0.0 D. McGuffin et al. 10.5194/gmd-14-1821-2021
- Multi-sectoral impact assessment of an extreme African dust episode in the Eastern Mediterranean in March 2018 A. Monteiro et al. 10.1016/j.scitotenv.2022.156861
- MEDEA randomised intervention study protocol in Cyprus, Greece and Israel for mitigation of desert dust health effects in adults with atrial fibrillation P. Anagnostopoulou et al. 10.1136/bmjopen-2022-069809
- Aerosol optical depth comparison between GAW-PFR and AERONET-Cimel radiometers from long-term (2005–2015) 1 min synchronous measurements E. Cuevas et al. 10.5194/amt-12-4309-2019
- Assessment of severe aerosol events from NASA MODIS and VIIRS aerosol products for data assimilation and climate continuity A. Gumber et al. 10.5194/amt-16-2547-2023
- Environmental Inequalities in Kathmandu, Nepal—Household Perceptions of Changes Between 2013 and 2021 J. Flacke et al. 10.3389/frsc.2022.835534
- COST Lecture 2019 AE GM Barcelona: International Network to Encourage the Use of Monitoring and Forecasting Dust Products (InDust) A. Nemuc et al. 10.1017/S1062798720000733
- Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP) P. Xian et al. 10.1002/qj.3497
- Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system A. Tsikerdekis et al. 10.5194/acp-21-2637-2021
- Accounting for fuel in fire danger forecasts: the fire occurrence probability index (FOPI) F. Di Giuseppe 10.1088/1748-9326/acd2ee
- Introducing the MISR level 2 near real-time aerosol product M. Witek et al. 10.5194/amt-14-5577-2021
- The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007–2016) E. Di Tomaso et al. 10.5194/essd-14-2785-2022
- Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network Ó. Alvárez et al. 10.5194/amt-16-4861-2023
- Impact of assimilating NOAA VIIRS aerosol optical depth (AOD) observations on global AOD analysis from the Copernicus Atmosphere Monitoring Service (CAMS) S. Garrigues et al. 10.5194/acp-23-10473-2023
- Assessment of the Meteorological Impact on Improved PM2.5 Air Quality Over North China During 2016–2019 Based on a Regional Joint Atmospheric Composition Reanalysis Data‐Set X. Kou et al. 10.1029/2020JD034382
- Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang 10.1016/j.glt.2020.11.001
- How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies A. Sayer 10.1029/2020EA001290
- Variability and combination as an ensemble of mineral dust forecasts during the 2021 CADDIWA experiment using the WRF 3.7.1 and CHIMERE v2020r3 models L. Menut 10.5194/gmd-16-4265-2023
- Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product M. Garay et al. 10.5194/amt-13-593-2020
- Comparison of dust optical depth from multi-sensor products and MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) dust reanalysis over North Africa, the Middle East, and Europe M. Mytilinaios et al. 10.5194/acp-23-5487-2023
- The Langley ratio method, a new approach for transferring photometer calibration from direct sun measurements A. Almansa et al. 10.5194/amt-17-659-2024
- Parameterizations for sea spray aerosol production flux A. Song et al. 10.1016/j.apgeochem.2023.105776
- VIIRS Deep Blue Aerosol Products Over Land: Extending the EOS Long‐Term Aerosol Data Records N. Hsu et al. 10.1029/2018JD029688
- Implementation and application of ensemble optimal interpolation on an operational chemistry weather model for improving PM2.5 and visibility predictions S. Li et al. 10.5194/gmd-16-4171-2023
- Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. 10.1029/2018JD029465
- Convective distribution of dust over the Arabian Peninsula: the impact of model resolution J. Bukowski & S. van den Heever 10.5194/acp-20-2967-2020
- Exploring analog-based schemes for aerosol optical depth forecasting with WRF-Chem A. Raman et al. 10.1016/j.atmosenv.2020.118134
- Machine learning-enabled real-time detection of cloud and aerosol layers using airborne lidar M. McGill et al. 10.3389/frsen.2023.1116817
- Simulating Heavy Rainfall Associated with Tropical Cyclones and Atmospheric Disturbances in Thailand Using the Coupled WRF-ROMS Model—Sensitivity Analysis of Microphysics and Cumulus Parameterization Schemes K. Torsri et al. 10.3390/atmos14101574
- 15-Year Analysis of Direct Effects of Total and Dust Aerosols in Solar Radiation/Energy over the Mediterranean Basin K. Papachristopoulou et al. 10.3390/rs14071535
- Assimilation of Both Column‐ and Layer‐Integrated Dust Opacity Observations in the Martian Atmosphere T. Ruan et al. 10.1029/2021EA001869
- A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
- The challenge of adopting mitigation and adaptation measures for the impacts of sand and dust storms in Eastern Mediterranean Region: a critical review A. Eleftheriou et al. 10.1007/s11027-023-10070-9
- Investigating the impact of Saharan dust aerosols on analyses and forecasts of African easterly waves by constraining aerosol effects in radiance data assimilation D. Grogan et al. 10.5194/acp-22-2385-2022
- Is Summer African Dust Arriving Earlier to Barbados? The Updated Long-Term In Situ Dust Mass Concentration Time Series from Ragged Point, Barbados, and Miami, Florida P. Zuidema et al. 10.1175/BAMS-D-18-0083.1
- Chemistry‐Weather Interacted Model System GRAPES_Meso5.1/CUACE CW V1.0: Development, Evaluation and Application in Better Haze/Fog Prediction in China H. Wang et al. 10.1029/2022MS003222
- A benchmark for testing the accuracy and computational cost of shortwave top-of-atmosphere reflectance calculations in clear-sky aerosol-laden atmospheres J. Escribano et al. 10.5194/gmd-12-805-2019
- A global analysis of climate-relevant aerosol properties retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories P. Laj et al. 10.5194/amt-13-4353-2020
- Biomass burning events measured by lidars in EARLINET – Part 1: Data analysis methodology M. Adam et al. 10.5194/acp-20-13905-2020
- Biomass Burning Measurements in Earlinet M. Adam et al. 10.1051/epjconf/202023705005
- Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. 10.5194/acp-19-14585-2019
- Bias in modeled solar radiation by non-resolved intra-daily AOD variability J. Ruiz-Arias 10.1016/j.solener.2020.04.082
Saved (preprint)
Discussed (final revised paper)
Discussed (preprint)
Latest update: 20 Nov 2024
Short summary
Numerical prediction of aerosol particle properties has become an important activity at many research and operational weather centers. This development is due to growing interest from a diverse set of stakeholders, such as air quality regulatory bodies, aviation authorities, solar energy plant managers, climate service providers, and health professionals. This paper describes the advances in the field and sets out requirements for observations for the sustainability of these activities.
Numerical prediction of aerosol particle properties has become an important activity at many...
Altmetrics
Final-revised paper
Preprint