61 citations as recorded by crossref.

1. An algorithm for hyperspectral remote sensing of aerosols: 1. Development of theoretical framework W. Hou et al. https://doi.org/10.1016/j.jqsrt.2016.01.019
2. Relative inputs of upwelled and atmospheric nitrogen to the eastern tropical North Atlantic food web: Spatial distribution of δ15N in mesozooplankton and relation to dissolved nutrient dynamics H. Hauss et al. https://doi.org/10.1016/j.dsr.2013.01.010
3. Retrieval of desert dust aerosol vertical profiles from IASI measurements in the TIR atmospheric window S. Vandenbussche et al. https://doi.org/10.5194/amt-6-2577-2013
4. The comparison of MODIS-Aqua (C5) and CALIOP (V2 & V3) aerosol optical depth J. Redemann et al. https://doi.org/10.5194/acp-12-3025-2012
5. An Overview of Atmospheric Features Over the Western North Atlantic Ocean and North American East Coast – Part 1: Analysis of Aerosols, Gases, and Wet Deposition Chemistry A. Corral et al. https://doi.org/10.1029/2020JD032592
6. First Mapping of Monthly and Diurnal Climatology of Saharan Dust Layer Height Over the Atlantic Ocean From EPIC/DSCOVR in Deep Space Z. Lu et al. https://doi.org/10.1029/2022GL102552
7. Dust Identification over Arid and Semiarid Regions of Asia Using AIRS Thermal Infrared Channels H. Xu et al. https://doi.org/10.1155/2014/847432
8. Characterisation of dust aerosols in the infrared from IASI and comparison with PARASOL, MODIS, MISR, CALIOP, and AERONET observations S. Peyridieu et al. https://doi.org/10.5194/acp-13-6065-2013
9. Optical and Microphysical Characterization of Atmospheric Aerosols in Chad Based on Satellite Observations B. Francois et al. https://doi.org/10.4236/acs.2026.161006
10. Atmospheric Research Over the Western North Atlantic Ocean Region and North American East Coast: A Review of Past Work and Challenges Ahead A. Sorooshian et al. https://doi.org/10.1029/2019JD031626
11. A unified approach to infrared aerosol remote sensing and type specification L. Clarisse et al. https://doi.org/10.5194/acp-13-2195-2013
12. Detection of IASI dust AOD trends over Sahara: How many years of data required? A. Chedin et al. https://doi.org/10.1016/j.atmosres.2018.05.004
13. Nighttime AOT Retrieval for Asian Dusts from MODIS IR Measurements: An Artificial Neural Network Approach S. LEE & B. SOHN https://doi.org/10.2151/jmsj.2012-201
14. Review of Atmospheric Environmental Change from Earth Observing Satellites K. Lee et al. https://doi.org/10.5572/ajae.2021.147
15. Aerosol and cloud top height information of Envisat MIPAS measurements S. Griessbach et al. https://doi.org/10.5194/amt-13-1243-2020
16. Land surface emissivity from high temporal resolution geostationary infrared imager radiances: Methodology and simulation studies J. Li et al. https://doi.org/10.1029/2010JD014637
17. Retrieving radius, concentration, optical depth, and mass of different types of aerosols from high-resolution infrared nadir spectra L. Clarisse et al. https://doi.org/10.1364/AO.49.003713
18. Machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation J. Lee et al. https://doi.org/10.3390/rs13030456
19. Orbital Observations of Dust Lofted by Daytime Convective Turbulence L. Fenton et al. https://doi.org/10.1007/s11214-016-0243-6
20. Trends in daytime and nighttime dust aerosols over the Dust Belt revealed by IASI J. Tindan et al. https://doi.org/10.1016/j.scitotenv.2025.180742
21. Thermal infrared remote sensing of mineral dust over land and ocean: a spectral SVD based retrieval approach for IASI L. Klüser et al. https://doi.org/10.5194/amt-4-757-2011
22. Night time detection of Saharan dust using infrared window channels: Application to NPP/VIIRS P. Le Borgne et al. https://doi.org/10.1016/j.rse.2013.06.001
23. Understanding day–night differences in dust aerosols over the dust belt of North Africa, the Middle East, and Asia J. Tindan et al. https://doi.org/10.5194/acp-23-5435-2023
24. A physical knowledge-based machine learning method for near-real-time dust aerosol properties retrieval from the Himawari-8 satellite data J. Li et al. https://doi.org/10.1016/j.atmosenv.2022.119098
25. Quantification of volcanic cloud top heights and thicknesses using A‐train observations for the 2008 Chaitén eruption A. Prata et al. https://doi.org/10.1002/2014JD022399
26. The Aerosol Module in the Community Radiative Transfer Model (v2.2 and v2.3): accounting for aerosol transmittance effects on the radiance observation operator C. Lu et al. https://doi.org/10.5194/gmd-15-1317-2022
27. Satellite perspective of aerosol intercontinental transport: From qualitative tracking to quantitative characterization H. Yu et al. https://doi.org/10.1016/j.atmosres.2012.12.013
28. Monitoring of dust storm and estimation of aerosol concentration in the Middle East using remotely sensed images H. Taheri Shahraiyni et al. https://doi.org/10.1007/s12517-013-1252-3
29. The thermal infrared optical depth of mineral dust retrieved from integrated CALIOP and IIR observations J. Zheng et al. https://doi.org/10.1016/j.rse.2021.112841
30. The seasonal vertical distribution of the Saharan Air Layer and its modulation by the wind C. Tsamalis et al. https://doi.org/10.5194/acp-13-11235-2013
31. The Monitoring Nitrous Oxide Sources (MIN2OS) satellite project P. Ricaud et al. https://doi.org/10.1016/j.rse.2021.112688
32. Improving Dust Aerosol Optical Depth (DAOD) Retrieval from the GEOKOMPSAT-2A (GK-2A) Satellite for Daytime and Nighttime Monitoring S. Ahn et al. https://doi.org/10.3390/s24051490
33. Mapping the Global Dust Storm Records: Review of Dust Data Sources in Supporting Modeling/Climate Study J. Wang https://doi.org/10.1007/s40726-015-0008-y
34. The Impact of MERRA-2 and CAMS Aerosol Reanalysis Data on FengYun-4B Geostationary Interferometric Infrared Sounder Simulations W. Peng et al. https://doi.org/10.3390/rs17050761
35. New approach for the determination of aerosol refractive indices – Part II: Experimental set-up and application to amorphous silica particles P. Hubert et al. https://doi.org/10.1016/j.jqsrt.2017.03.037
36. The assimilation of Cross‐track Infrared Sounder radiances at ECMWF R. Eresmaa et al. https://doi.org/10.1002/qj.3171
37. Evaluation of IASI-derived dust aerosol characteristics over the tropical belt V. Capelle et al. https://doi.org/10.5194/acp-14-9343-2014
38. Infrared limb emission measurements of aerosol in the troposphere and stratosphere S. Griessbach et al. https://doi.org/10.5194/amt-9-4399-2016
39. Comparison of dust-layer heights from active and passive satellite sensors A. Kylling et al. https://doi.org/10.5194/amt-11-2911-2018
40. Sources, sinks, and transatlantic transport of North African dust aerosol: A multimodel analysis and comparison with remote sensing data D. Kim et al. https://doi.org/10.1002/2013JD021099
41. Tropospheric aerosols over the western North Atlantic Ocean during the winter and summer deployments of ACTIVATE 2020: life cycle, transport, and distribution H. Liu et al. https://doi.org/10.5194/acp-25-2087-2025
42. Aerosol characteristics at the three poles of the Earth as characterized by Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations Y. Yang et al. https://doi.org/10.5194/acp-21-4849-2021
43. Thermal infrared dust optical depth and coarse-mode effective diameter over oceans retrieved from collocated MODIS and CALIOP observations J. Zheng et al. https://doi.org/10.5194/acp-23-8271-2023
44. The Width of Aerosol Size Distribution: A Nonnegligible Factor in the Hyperspectral Infrared Radiative Transfer Simulations and Aerosol Remote Sensing J. Zhao et al. https://doi.org/10.1109/TGRS.2026.3657817
45. Automated retrievals of volcanic ash and dust cloud properties from upwelling infrared measurements M. Pavolonis et al. https://doi.org/10.1002/jgrd.50173
46. Contribution of IASI to the Observation of Dust Aerosol Emissions (Morning and Nighttime) Over the Sahara Desert A. Chédin et al. https://doi.org/10.1029/2019JD032014
47. A Decadal Data Set of Global Atmospheric Dust Retrieved From IASI Satellite Measurements L. Clarisse et al. https://doi.org/10.1029/2018JD029701
48. An accuracy assessment of the CALIOP/CALIPSO version 2/version 3 daytime aerosol extinction product based on a detailed multi-sensor, multi-platform case study M. Kacenelenbogen et al. https://doi.org/10.5194/acp-11-3981-2011
49. New Asia Dust Storm Detection Method Based on the Thermal Infrared Spectral Signature H. Xu et al. https://doi.org/10.3390/rs70100051
50. Satellite Observation Based Air Quality Study K. Lee & M. Bae https://doi.org/10.5572/KOSAE.2023.39.5.571
51. Satellite based remote sensing of weather and climate: recent achievements and future perspectives B. Thies & J. Bendix https://doi.org/10.1002/met.288
52. Extracting Taklimakan Dust Parameters from AIRS with Artificial Neural Network Method Z. Yao et al. https://doi.org/10.3390/rs11242931
53. Quantification of trans-Atlantic dust transport from seven-year (2007–2013) record of CALIPSO lidar measurements H. Yu et al. https://doi.org/10.1016/j.rse.2014.12.010
54. Simulation of mineral dust aerosol with Piecewise Log-normal Approximation (PLA) in CanAM4-PAM Y. Peng et al. https://doi.org/10.5194/acp-12-6891-2012
55. Impact of the choice of the satellite aerosol optical depth product in a sub-regional dust emission inversion J. Escribano et al. https://doi.org/10.5194/acp-17-7111-2017
56. Interannual variability of dust height and the dynamics of its formation over East Asia J. Liu et al. https://doi.org/10.1016/j.scitotenv.2020.142288
57. The transatlantic dust transport from North Africa to the Americas—Its characteristics and source regions G. Gläser et al. https://doi.org/10.1002/2015JD023792
58. Infrared dust aerosol optical depth retrieved daily from IASI and comparison with AERONET over the period 2007–2016 V. Capelle et al. https://doi.org/10.1016/j.rse.2017.12.008
59. Desert dust observation from space – Application of measured mineral component infrared extinction spectra L. Klüser et al. https://doi.org/10.1016/j.atmosenv.2012.02.011
60. Net radiative effects of dust in the tropical North Atlantic based on integrated satellite observations and in situ measurements Q. Song et al. https://doi.org/10.5194/acp-18-11303-2018
61. Synergistic use of AIRS and MODIS for dust top height retrieval over land Z. Yao et al. https://doi.org/10.1007/s00376-014-4046-y