62 citations as recorded by crossref.

1. Predicted direct solar radiation (ECMWF) for optimized operational strategies of linear focus parabolic-trough systems F. Lopes et al. https://doi.org/10.1016/j.renene.2019.11.020
2. The influence of CAMS aerosol climatology on shortwave irradiance and temperature forecasts in the ICON NWP model verified against observational data A. Poliukhov et al. https://doi.org/10.1016/j.atmosres.2026.109025
3. What is the Role of Sea Surface Temperature in Modulating Cloud and Precipitation Properties over the Southern Ocean? Y. Huang et al. https://doi.org/10.1175/JCLI-D-15-0768.1
4. Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations D. O'Sullivan et al. https://doi.org/10.5194/acp-20-12955-2020
5. Below-cloud scavenging of aerosol by rain: a review of numerical modelling approaches and sensitivity simulations with mineral dust in the Met Office's Unified Model A. Jones et al. https://doi.org/10.5194/acp-22-11381-2022
6. Effects of the Vertical Aerosol Structure on Short-range Air Temperature Forecasting and Clear-sky Shortwave Radiation Calculations in the ICON Model A. Poliukhov et al. https://doi.org/10.3103/S1068373924080065
7. Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP) P. Xian et al. https://doi.org/10.1002/qj.3497
8. Characterizing the spatio-temporal distribution, detection, and prediction of aerosol atmospheric rivers on a global scale K. Rautela et al. https://doi.org/10.1016/j.jenvman.2023.119675
9. Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: a case study M. Oyola et al. https://doi.org/10.5194/acp-19-205-2019
10. Predicted Particle Properties (P3) Microphysics Scheme Coupled With WRF‐Chem Model: Evaluation With Convective and Stratiform Cases Q. Cao et al. https://doi.org/10.1029/2022JD037685
11. Simulation of the Ozone Monitoring Instrument aerosol index using the NASA Goddard Earth Observing System aerosol reanalysis products P. Colarco et al. https://doi.org/10.5194/amt-10-4121-2017
12. Development and evaluation of the Aerosol Forecast Member in the National Center for Environment Prediction (NCEP)'s Global Ensemble Forecast System (GEFS-Aerosols v1) L. Zhang et al. https://doi.org/10.5194/gmd-15-5337-2022
13. A simple and realistic aerosol emission approach for use in the Thompson–Eidhammer microphysics scheme in the NOAA UFS Weather Model (version GSL global-24Feb2022) H. Li et al. https://doi.org/10.5194/gmd-17-607-2024
14. Saharan dust impact on radiative heating rate errors inherent in reanalysis data in the African easterly wave development region R. Burgess & M. Oyola-Merced https://doi.org/10.5194/acp-24-12183-2024
15. Resilience to Air Pollution: A Novel Approach for Detecting and Predicting Aerosol Atmospheric Rivers within Earth System Boundaries K. Rautela et al. https://doi.org/10.1007/s41748-024-00421-0
16. Feedbacks of dust and boundary layer meteorology during a dust storm in the eastern Mediterranean S. Rémy et al. https://doi.org/10.5194/acp-15-12909-2015
17. DustNet (v1): skilful neural network predictions of dust aerosols over the Saharan desert T. Nowak et al. https://doi.org/10.5194/gmd-18-3509-2025
18. An aerosol climatology for global models based on the tropospheric aerosol scheme in the Integrated Forecasting System of ECMWF A. Bozzo et al. https://doi.org/10.5194/gmd-13-1007-2020
19. Direct radiative effects of anthropogenic aerosols on Indian summer monsoon circulation S. Das et al. https://doi.org/10.1007/s00704-015-1444-8
20. The impact of aerosol-cloud interaction on mesoscale numerical weather prediction when low-cloud and haze coexist in winter over major polluted regions of China W. Zhang et al. https://doi.org/10.1016/j.atmosenv.2023.120270
21. The prototype NOAA Aerosol Reanalysis version 1.0: description of the modeling system and its evaluation S. Wei et al. https://doi.org/10.5194/gmd-17-795-2024
22. New developments in the representation of Saharan dust sources in the aerosol–climate model ECHAM6-HAM2 B. Heinold et al. https://doi.org/10.5194/gmd-9-765-2016
23. Could geoengineering research help answer one of the biggest questions in climate science? R. Wood et al. https://doi.org/10.1002/2017EF000601
24. Direct and Indirect Effects of Aerosols During the 2023 Canadian Wildfires A. Cheng et al. https://doi.org/10.3390/atmos17040337
25. The early summertime Saharan heat low: sensitivity of the radiation budget and atmospheric heating to water vapour and dust aerosol N. Alamirew et al. https://doi.org/10.5194/acp-18-1241-2018
26. Short-term forecasts of GHI and DNI for solar energy systems operation: assessment of the ECMWF integrated forecasting system in southern Portugal F. Lopes et al. https://doi.org/10.1016/j.solener.2018.05.039
27. Radiation Effects of Different Types of Aerosol in Eurasia According to Observations and Model Calculations A. Poliukhov et al. https://doi.org/10.3103/S1068373919090012
28. Impacts of Amazonia biomass burning aerosols assessed from short-range weather forecasts S. Kolusu et al. https://doi.org/10.5194/acp-15-12251-2015
29. The implementation of NEMS GFS Aerosol Component (NGAC) Version 2.0 for global multispecies forecasting at NOAA/NCEP – Part 1: Model descriptions J. Wang et al. https://doi.org/10.5194/gmd-11-2315-2018
30. Weather Effects of Aerosols in the Global Forecast Model G. Jeong https://doi.org/10.3390/atmos11080850
31. Dust induced radiative perturbations during an episode of long-range dust transport over Delhi, India: a high-resolution regional NWP model study T. Francis et al. https://doi.org/10.1007/s00703-020-00760-3
32. The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations D. Walters et al. https://doi.org/10.5194/gmd-10-1487-2017
33. Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System L. Rontu et al. https://doi.org/10.3390/atmos11020205
34. Renewal of aerosol data for ALADIN-HIRLAM radiation parametrizations L. Rontu et al. https://doi.org/10.5194/asr-16-129-2019
35. Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1) S. Rémy et al. https://doi.org/10.5194/gmd-12-4627-2019
36. Unexpected vertical structure of the Saharan Air Layer and giant dust particles during AER-D F. Marenco et al. https://doi.org/10.5194/acp-18-17655-2018
37. Inline coupling of simple and complex chemistry modules within the global weather forecast model FIM (FIM-Chem v1) L. Zhang et al. https://doi.org/10.5194/gmd-15-467-2022
38. Comparison of the polluted dust plume and natural dust air mass in a spring dust event in Beijing 2023 Z. Chen et al. https://doi.org/10.1016/j.jes.2024.07.003
39. Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME) W. Sessions et al. https://doi.org/10.5194/acp-15-335-2015
40. Evaluation of climate model aerosol seasonal and spatial variability over Africa using AERONET H. Horowitz et al. https://doi.org/10.5194/acp-17-13999-2017
41. The Effects of Sandstorms on the Climate of Northwestern China T. Hu et al. https://doi.org/10.1155/2017/4035609
42. Impacts of a newly-developed aerosol climatology on numerical weather prediction using a global atmospheric forecasting model I. Choi et al. https://doi.org/10.1016/j.atmosenv.2018.10.019
43. The implementation of NEMS GFS Aerosol Component (NGAC) Version 1.0 for global dust forecasting at NOAA/NCEP C. Lu et al. https://doi.org/10.5194/gmd-9-1905-2016
44. Statistical Evaluation of the Temperature Forecast Error in the Lower‐Level Troposphere on Short‐Range Timescales Induced by Aerosol Variability A. Yamagami et al. https://doi.org/10.1029/2022JD036595
45. Aerosol, Clouds and Radiation Interactions in the NCEP Unified Forecast Systems A. Cheng & F. Yang https://doi.org/10.3390/meteorology4020014
46. 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. https://doi.org/10.5194/acp-22-2385-2022
47. Assimilation and Forecasting Experiment for Heavy Siberian Wildfire Smoke in May 2016 with Himawari-8 Aerosol Optical Thickness K. YUMIMOTO et al. https://doi.org/10.2151/jmsj.2018-035
48. Central American biomass burning smoke can increase tornado severity in the U.S. P. Saide et al. https://doi.org/10.1002/2014GL062826
49. The Impact of Aerosols on Satellite Radiance Data Assimilation Using NCEP Global Data Assimilation System S. Wei et al. https://doi.org/10.3390/atmos12040432
50. Evaluation of the ERA5 Sea Surface Skin Temperature with Remotely-Sensed Shipborne Marine-Atmospheric Emitted Radiance Interferometer Data B. Luo & P. Minnett https://doi.org/10.3390/rs12111873
51. Impacts of aerosol–radiation interaction on meteorological forecasts over northern China by offline coupling of the WRF-Chem-simulated aerosol optical depth into WRF: a case study during a heavy pollution event Y. Yang et al. https://doi.org/10.5194/acp-20-12527-2020
52. Impacts of a Mesoscale Dust Storm on Aerosols Characteristics, Optical and Radiative Properties Over a Semiarid Region, Western India A. Chhabra et al. https://doi.org/10.1007/s12524-021-01313-w
53. SILAM and MACC reanalysis aerosol data used for simulating the aerosol direct radiative effect with the NWP model HARMONIE for summer 2010 wildfire case in Russia V. Toll et al. https://doi.org/10.1016/j.atmosenv.2015.06.007
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55. Aerosol forecast over the Mediterranean area during July 2013 (ADRIMED/CHARMEX) L. Menut et al. https://doi.org/10.5194/acp-15-7897-2015
56. An evaluation of the impact of aerosol particles on weather forecasts from a biomass burning aerosol event over the Midwestern United States: observational-based analysis of surface temperature J. Zhang et al. https://doi.org/10.5194/acp-16-6475-2016
57. High-resolution projections of mean and extreme precipitations over China through PRECIS under RCPs J. Zhu et al. https://doi.org/10.1007/s00382-017-3860-1
58. Can the Direct Effect of Aerosols Improve Subseasonal Predictability? A. Benedetti & F. Vitart https://doi.org/10.1175/MWR-D-17-0282.1
59. Impacts of the direct radiative effect of aerosols in numerical weather prediction over Europe using the ALADIN-HIRLAM NWP system V. Toll et al. https://doi.org/10.1016/j.atmosres.2016.01.003
60. Effects of aerosols on clear-sky solar radiation in the ALADIN-HIRLAM NWP system E. Gleeson et al. https://doi.org/10.5194/acp-16-5933-2016
61. The Role of Aerosol‐Radiation Interaction in the Meteorology Prediction at the Weather Scale in the Numerical Weather Prediction Model W. Zhang et al. https://doi.org/10.1029/2021GL097026
62. A process-based evaluation of dust-emitting winds in the CMIP5 simulation of HadGEM2-ES S. Fiedler et al. https://doi.org/10.1007/s00382-015-2635-9