146 citations as recorded by crossref.

1. An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2) S. Liu et al. 10.5194/amt-13-755-2020
2. New Insights for Tracking Global and Local Trends in Exposure to Air Pollutants M. Wolf et al. 10.1021/acs.est.1c08080
3. Top-of-atmosphere hyper and multispectral signatures of submerged plastic litter with changing water clarity and depth S. Garaba & T. Harmel 10.1364/OE.451415
4. The CAMS reanalysis of atmospheric composition A. Inness et al. 10.5194/acp-19-3515-2019
5. An Analysis of Meteorological Characteristics for Fine Particles on the Korean Peninsula during Wintertime, 2015-2021 J. Jee et al. 10.5572/KOSAE.2022.38.3.394
6. M2‐SCREAM: A Stratospheric Composition Reanalysis of Aura MLS Data With MERRA‐2 Transport K. Wargan et al. 10.1029/2022EA002632
7. A convolutional neural networks method for tropospheric ozone vertical distribution retrieval from Multi-AXis Differential Optical Absorption Spectroscopy measurements Z. Wang et al. 10.1016/j.scitotenv.2024.175049
8. Numerical simulation of forest fires and possibilities to estimate aerosol emission: Recent advances N. Baranovskiy et al. 10.1016/j.firesaf.2024.104250
9. Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1) V. Huijnen et al. 10.5194/gmd-12-1725-2019
10. Source Contributions to Carbon Monoxide Concentrations During KORUS‐AQ Based on CAM‐chem Model Applications W. Tang et al. 10.1029/2018JD029151
11. Australian Bushfires (2019–2020): Aerosol Optical Properties and Radiative Forcing C. Papanikolaou et al. 10.3390/atmos13060867
12. Assessment of Direct Normal Irradiance Forecasts Based on IFS/ECMWF Data and Observations in the South of Portugal J. Perdigão et al. 10.3390/forecast2020007
13. Intercomparison of aerosol optical depths from four reanalyses and their multi-reanalysis consensus P. Xian et al. 10.5194/acp-24-6385-2024
14. Comprehensive evaluation of the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis against independent observations A. Wagner et al. 10.1525/elementa.2020.00171
15. Comparison of ozonesonde measurements in the upper troposphere and lower Stratosphere in Northern India with reanalysis and chemistry-climate-model data S. Fadnavis et al. 10.1038/s41598-023-34330-5
16. Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang 10.1016/j.glt.2020.11.001
17. Impacts of long-range transport of aerosols on marine-boundary-layer clouds in the eastern North Atlantic Y. Wang et al. 10.5194/acp-20-14741-2020
18. Application of satellite observations in conjunction with aerosol reanalysis to characterize long-range transport of African and Asian dust on air quality in the contiguous U.S. S. Chen et al. 10.1016/j.atmosenv.2018.05.038
19. Evaluation of the CAMS global atmospheric trace gas reanalysis 2003–2016 using aircraft campaign observations Y. Wang et al. 10.5194/acp-20-4493-2020
20. Influences of atmospheric reanalysis on the accuracy of clear-sky irradiance estimates: Comparing MERRA-2 and CAMS D. Fu et al. 10.1016/j.atmosenv.2022.119080
21. The ERA5 global reanalysis H. Hersbach et al. 10.1002/qj.3803
22. Automated time–height-resolved air mass source attribution for profiling remote sensing applications M. Radenz et al. 10.5194/acp-21-3015-2021
23. An intercomparison of ozone taken from the Copernicus atmosphere monitoring service and the second Modern-Era retrospective analysis for research and applications over China during 2018 and 2019 Y. Zhang et al. 10.1016/j.jes.2022.01.045
24. Model simulation of ammonium and nitrate aerosols distribution in the Euro-Mediterranean region and their radiative and climatic effects over 1979–2016 T. Drugé et al. 10.5194/acp-19-3707-2019
25. Impact of intercontinental pollution transport on North American ozone air pollution: an HTAP phase 2 multi-model study M. Huang et al. 10.5194/acp-17-5721-2017
26. Can the aerosol pollution extreme events be revealed by global reanalysis products? J. Li et al. 10.1016/j.scitotenv.2024.171424
27. Influence of anthropogenic emission inventories on simulations of air quality in China during winter and summer 2010 I. Bouarar et al. 10.1016/j.atmosenv.2018.10.043
28. Tropospheric and Surface Measurements of Combustion Tracers During the 2021 Mediterranean Wildfire Crisis: Insights from the WMO/GAW Site of Lamezia Terme in Calabria, Southern Italy F. D’Amico et al. 10.3390/gases5010005
29. Can the Direct Effect of Aerosols Improve Subseasonal Predictability? A. Benedetti & F. Vitart 10.1175/MWR-D-17-0282.1
30. Monitoring and assimilation tests with TROPOMI data in the CAMS system: near-real-time total column ozone A. Inness et al. 10.5194/acp-19-3939-2019
31. Assessment of global and regional PM10 CAMSRA data: comparison to observed data in Morocco I. Sekmoudi et al. 10.1007/s11356-021-12783-3
32. Study of mixing ratios of SO2 in a tropical rural environment in south India K. Renuka et al. 10.1007/s12040-020-1366-4
33. A stratospheric prognostic ozone for seamless Earth system models: performance, impacts and future B. Monge-Sanz et al. 10.5194/acp-22-4277-2022
34. Impacts of Aerosols and Climate Modes on Tropical Cyclone Frequency over the North Indian Ocean: A Statistical Link Approach M. Wahiduzzaman et al. 10.1175/JCLI-D-21-0228.1
35. Influence of ENSO on Tropospheric Ozone Variability in East Asia Y. Jeong et al. 10.1029/2023JD038604
36. Winds of fire and smoke: Air pollution and health in the Brazilian Amazon R. Rocha & A. Sant’Anna 10.1016/j.worlddev.2021.105722
37. Worldwide validation of CAMS and MERRA-2 reanalysis aerosol optical depth products using 15 years of AERONET observations C. Gueymard & D. Yang 10.1016/j.atmosenv.2019.117216
38. Synthesis of Zeolites from Coal Fly Ash for Removal of Harmful Gaseous Pollutants: A Review X. Ren et al. 10.4209/aaqr.2019.12.0651
39. Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations C. Alberti et al. 10.5194/amt-15-2199-2022
40. Can Forest Fires Be an Important Factor in the Reduction in Solar Power Production in India? U. Dumka et al. 10.3390/rs14030549
41. Air pollution, sociodemographic and health conditions effects on COVID-19 mortality in Colombia: An ecological study L. Rodriguez-Villamizar et al. 10.1016/j.scitotenv.2020.144020
42. An accurate and efficient forecast framework for fine PM2.5 maps using spatiotemporal recurrent neural networks N. Liu et al. 10.1016/j.jclepro.2024.143624
43. JRAero: the Japanese Reanalysis for Aerosol v1.0 K. Yumimoto et al. 10.5194/gmd-10-3225-2017
44. Next Generation Air Quality Models: Dynamical Mesh, New Insights into Mechanism, Datasets and Applications J. Li et al. 10.1007/s40726-025-00355-9
45. Technical note: Evaluation of the Copernicus Atmosphere Monitoring Service Cy48R1 upgrade of June 2023 H. Eskes et al. 10.5194/acp-24-9475-2024
46. Renewal of aerosol data for ALADIN-HIRLAM radiation parametrizations L. Rontu et al. 10.5194/asr-16-129-2019
47. An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2 V. Huijnen et al. 10.5194/gmd-13-1513-2020
48. Transport of Mineral Dust Into the Arctic in Two Reanalysis Datasets of Atmospheric Composition S. Böö et al. 10.16993/tellusb.1866
49. Evaluation of Himawari-8/AHI, MERRA-2, and CAMS Aerosol Products over China T. Zhang et al. 10.3390/rs12101684
50. Evaluation of ECMWF IFS-AER (CAMS) operational forecasts during cycle 41r1–46r1 with calibrated ceilometer profiles over Germany H. Flentje et al. 10.5194/gmd-14-1721-2021
51. Chemical Mechanisms and Their Applications in the Goddard Earth Observing System (GEOS) Earth System Model J. Nielsen et al. 10.1002/2017MS001011
52. Weather Effects of Aerosols in the Global Forecast Model G. Jeong 10.3390/atmos11080850
53. A Comprehensive Analysis of AOD and its Species from Reanalysis Data over the Middle East and North Africa Regions: Evaluation of Model Performance Using Machine Learning Techniques S. Berhane et al. 10.1007/s41748-024-00513-x
54. A Flexible and Efficient Radiation Scheme for the ECMWF Model R. Hogan & A. Bozzo 10.1029/2018MS001364
55. Data assimilation experiments over Europe with the Chemical Transport Model FARM M. Adani & F. Uboldi 10.1016/j.atmosenv.2023.119806
56. Numerical model generation of test frames for pre-launch studies of EarthCARE's retrieval algorithms and data management system Z. Qu et al. 10.5194/amt-16-4927-2023
57. Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al. 10.5194/amt-17-5679-2024
58. Global carbon monoxide retrieval from the hyperspectral infrared atmospheric sounder-II onboard FengYun-3E in a dawn-dusk sun-synchronous orbit Z. Zeng 10.1016/j.jqsrt.2024.109336
59. Modeling radiative and climatic effects of brown carbon aerosols with the ARPEGE-Climat global climate model T. Drugé et al. 10.5194/acp-22-12167-2022
60. An improved representation of aerosol in the ECMWF IFS-COMPO 49R1 through the integration of EQSAM4Climv12 – a first attempt at simulating aerosol acidity S. Rémy et al. 10.5194/gmd-17-7539-2024
61. Evaluating the assimilation of S5P/TROPOMI near real-time SO2 columns and layer height data into the CAMS integrated forecasting system (CY47R1), based on a case study of the 2019 Raikoke eruption A. Inness et al. 10.5194/gmd-15-971-2022
62. Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States C. Hogrefe et al. 10.5194/acp-18-3839-2018
63. Monitoring and simulation of a 7-day dust episode and associated dust radiative forcing over the Middle East via synergy of satellite observations, reanalysis datasets and regional/numerical models K. Mohammadpour et al. 10.1016/j.atmosres.2025.107948
64. Particulate matter variability in Kathmandu based on in-situ measurements, remote sensing, and reanalysis data S. Becker et al. 10.1016/j.atmosres.2021.105623
65. Combining Machine Learning and Numerical Simulation for High-Resolution PM2.5 Concentration Forecast J. Bi et al. 10.1021/acs.est.1c05578
66. Revisiting the relationship between Atlantic dust and tropical cyclone activity using aerosol optical depth reanalyses: 2003–2018 P. Xian et al. 10.5194/acp-20-15357-2020
67. Assessing the relative impacts of satellite ozone and its precursor observations to improve global tropospheric ozone analysis using multiple chemical reanalysis systems T. Sekiya et al. 10.5194/acp-25-2243-2025
68. Evaluation and comparison of CMIP6 models and MERRA-2 reanalysis AOD against Satellite observations from 2000 to 2014 over China M. Ali et al. 10.1016/j.gsf.2021.101325
69. A 3-D evaluation of the MACC reanalysis dust product over Europe, northern Africa and Middle East using CALIOP/CALIPSO dust satellite observations A. Georgoulias et al. 10.5194/acp-18-8601-2018
70. The Space Carbon Observatory (SCARBO) concept: assessment of XCO2 and XCH4 retrieval performance M. Dogniaux et al. 10.5194/amt-15-4835-2022
71. Surface ozone in the Doon Valley of the Himalayan foothills during spring N. Ojha et al. 10.1007/s11356-019-05085-2
72. JEDI‐Based Three‐Dimensional Ensemble‐Variational Data Assimilation System for Global Aerosol Forecasting at NCEP B. Huang et al. 10.1029/2022MS003232
73. A New Regional Background Atmospheric Station in the Yangtze River Delta Region for Carbon Monoxide: Assessment of Spatiotemporal Characteristics and Regional Significance Y. Lin et al. 10.3390/atmos16010101
74. Inclusion of the ECMWF ecRad radiation scheme (v1.5.0) in the MAR (v3.14), regional evaluation for Belgium, and assessment of surface shortwave spectral fluxes at Uccle J. Grailet et al. 10.5194/gmd-18-1965-2025
75. Calibrating a global atmospheric chemistry transport model using Gaussian process emulation and ground-level concentrations of ozone and carbon monoxide E. Ryan & O. Wild 10.5194/gmd-14-5373-2021
76. Balance of Emission and Dynamical Controls on Ozone During the Korea‐United States Air Quality Campaign From Multiconstituent Satellite Data Assimilation K. Miyazaki et al. 10.1029/2018JD028912
77. Dust Constraints from joint Observational-Modelling-experiMental analysis (DustCOMM): comparison with measurements and model simulations A. Adebiyi et al. 10.5194/acp-20-829-2020
78. Spatiotemporal changes in aerosols over Bangladesh using 18 years of MODIS and reanalysis data M. Ali et al. 10.1016/j.jenvman.2022.115097
79. Spatiotemporal Variations in Summertime Arctic Aerosol Optical Depth Caused by Synoptic‐Scale Atmospheric Circulation in Three Reanalyses A. Yamagami et al. 10.1029/2022JD038007
80. A 6-year-long (2013–2018) high-resolution air quality reanalysis dataset in China based on the assimilation of surface observations from CNEMC L. Kong et al. 10.5194/essd-13-529-2021
81. An aerosol climatology for global models based on the tropospheric aerosol scheme in the Integrated Forecasting System of ECMWF A. Bozzo et al. 10.5194/gmd-13-1007-2020
82. Comparative analysis of PM10 concentrations in Nukus and Tashkent, Uzbekistan: Ground observations, CAMS, and MERRA-2 reanalysis N. Rakhmatova et al. 10.1051/e3sconf/202457504008
83. Improved representation of the global dust cycle using observational constraints on dust properties and abundance J. Kok et al. 10.5194/acp-21-8127-2021
84. Assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real-time system A. Inness et al. 10.5194/acp-22-14355-2022
85. A process-oriented evaluation of CAMS reanalysis ozone during tropopause folds over Europe for the period 2003–2018 D. Akritidis et al. 10.5194/acp-22-6275-2022
86. Black carbon and biomass burning associated high pollution episodes observed at Doon valley in the foothills of the Himalayas V. Prabhu et al. 10.1016/j.atmosres.2020.105001
87. Sunglint correction of the Multi-Spectral Instrument (MSI)-SENTINEL-2 imagery over inland and sea waters from SWIR bands T. Harmel et al. 10.1016/j.rse.2017.10.022
88. Geostationary aerosol retrievals of extreme biomass burning plumes during the 2019–2020 Australian bushfires D. Robbins et al. 10.5194/amt-17-3279-2024
89. Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3 U. Im et al. 10.5194/acp-18-5967-2018
90. Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation K. Bakker et al. 10.1016/j.solener.2019.08.044
91. Improving Forecasts of Biomass Burning Emissions with the Fire Weather Index F. Di Giuseppe et al. 10.1175/JAMC-D-16-0405.1
92. Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China M. Ali et al. 10.1016/j.atmosenv.2022.119297
93. Credibility and statistical characteristics of CAMSRA and MERRA-2 AOD reanalysis products over the Sichuan Basin during 2003–2018 H. Liu et al. 10.1016/j.atmosenv.2020.117980
94. Evaluation of MERRA-2 and CAMS reanalysis for black carbon aerosol in China W. Li et al. 10.1016/j.envpol.2023.123182
95. Evaluation of tropospheric ozone reanalyses with independent ozonesonde observations in East Asia S. Park et al. 10.1186/s40562-020-00161-9
96. Comparison between the assimilation of IASI Level 2 ozone retrievals and Level 1 radiances in a chemical transport model E. Emili et al. 10.5194/amt-12-3963-2019
97. A Decadal Data Set of Global Atmospheric Dust Retrieved From IASI Satellite Measurements L. Clarisse et al. 10.1029/2018JD029701
98. Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases M. Bilal et al. 10.1016/j.rse.2021.112617
99. Trends in sulfur dioxide over the Indian subcontinent during 2003–2019 L. Chutia et al. 10.1016/j.atmosenv.2022.119189
100. Global analysis and forecasts of carbon monoxide on Mars J. Holmes et al. 10.1016/j.icarus.2019.03.016
101. Monitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019 X. Shang et al. 10.5194/acp-24-1329-2024
102. Inferring atmospheric dynamics from aerosol observations in 4D‐Var Ž. Zaplotnik et al. 10.1002/qj.3743
103. Linking air stagnation in Europe with the synoptic- to large-scale atmospheric circulation J. Maddison et al. 10.5194/wcd-2-675-2021
104. Ozone variability, its formation potential and crops losses in the himalayan foothills M. Rajwar et al. 10.1007/s11869-024-01572-9
105. Estimation of Stratospheric Intrusions During Indian Cyclones C. Roy et al. 10.1029/2022JD037519
106. Avoidable mortality due to long-term exposure to PM2.5 in Colombia 2014–2019 L. Rodriguez-Villamizar et al. 10.1186/s12940-022-00947-8
107. Improvement of microphysics schemes for a warm-sector heavy precipitation over South China H. Xiao et al. 10.1016/j.atmosres.2024.107905
108. The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) R. Gelaro et al. 10.1175/JCLI-D-16-0758.1
109. Probabilistic merging and verification of monthly gridded aerosol products D. Yang & C. Gueymard 10.1016/j.atmosenv.2020.118146
110. Improving ozone simulations in Asia via multisource data assimilation: results from an observing system simulation experiment with GEMS geostationary satellite observations L. Shu et al. 10.5194/acp-23-3731-2023
111. Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
112. Exceptionally Low Arctic Stratospheric Ozone in Spring 2020 as Seen in the CAMS Reanalysis A. Inness et al. 10.1029/2020JD033563
113. An insight into recent PM1 aerosol light scattering properties and particle number concentration variabilities at the suburban site ATOLL in Northern France L. Suchánková et al. 10.1016/j.scitotenv.2024.178190
114. Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis K. Miyazaki et al. 10.5194/acp-20-931-2020
115. HCLIM38: a flexible regional climate model applicable for different climate zones from coarse to convection-permitting scales D. Belušić et al. 10.5194/gmd-13-1311-2020
116. Comparison of CAMS and CMAQ analyses of surface-level PM2.5 and O3 over the conterminous United States (CONUS) J. Lee et al. 10.1016/j.atmosenv.2024.120833
117. A Review of Data Assimilation on Aerosol Optical, Radiative, and Climatic Effects Study Y. Cheng et al. 10.1007/s41810-022-00142-9
118. Evaluating high-resolution forecasts of atmospheric CO and CO2 from a global prediction system during KORUS-AQ field campaign W. Tang et al. 10.5194/acp-18-11007-2018
119. NOx‐Induced Changes in Upper Tropospheric O3 During the Asian Summer Monsoon in Present‐Day and Future Climate C. Roy et al. 10.1029/2022GL101439
120. Evaluating the representation of Arctic cirrus solar radiative effects in the Integrated Forecasting System with airborne measurements J. Röttenbacher et al. 10.5194/acp-24-8085-2024
121. 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. 10.5194/gmd-12-4627-2019
122. Predicting Asthma Hospitalizations from Climate and Air Pollution Data: A Machine Learning-Based Approach J. Reis et al. 10.3390/cli13020023
123. Tropospheric ozone data assimilation in the NASA GEOS Composition Forecast modeling system (GEOS-CF v2.0) using satellite data for ozone vertical profiles (MLS), total ozone columns (OMI), and thermal infrared radiances (AIRS, IASI) M. Kelp et al. 10.1088/1748-9326/acf0b7
124. A Global Climatology of Tropopause Folds in CAMS and MERRA‐2 Reanalyses D. Akritidis et al. 10.1029/2020JD034115
125. Satellite observations of aerosols and clouds over southern China from 2006 to 2015: analysis of changes and possible interaction mechanisms N. Benas et al. 10.5194/acp-20-457-2020
126. The prototype NOAA Aerosol Reanalysis version 1.0: description of the modeling system and its evaluation S. Wei et al. 10.5194/gmd-17-795-2024
127. Catastrophic PM2.5 emissions from Siberian forest fires: Impacting factors analysis A. Romanov et al. 10.1016/j.envpol.2022.119324
128. Dynamic evaluation of modeled ozone concentrations in Germany with four chemistry transport models M. Thürkow et al. 10.1016/j.scitotenv.2023.167665
129. Application of a regional climate model on autumn dust events over the Urmia Basin E. Hassan et al. 10.1016/j.apr.2023.101904
130. Evaluating and comparison of WRF-chem model configurations for wind field impact on the April 2022 dust episode in western Iran E. Hassan et al. 10.1016/j.atmosenv.2024.120892
131. Advanced Ultraviolet Radiation and Ozone Retrieval for Applications (AURORA): A Project Overview U. Cortesi et al. 10.3390/atmos9110454
132. Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions S. Naus et al. 10.5194/acp-22-14735-2022
133. Atmospheric aerosols in the South Pacific: A regional baseline and characterization of aerosol fractions A. Isaza et al. 10.1016/j.atmosenv.2025.121048
134. Investigation of long-range transported PM2.5 events over Northern Taiwan during 2005–2015 winter seasons W. Hung et al. 10.1016/j.atmosenv.2019.116920
135. Air quality modeling intercomparison and multiscale ensemble chain for Latin America J. Pachón et al. 10.5194/gmd-17-7467-2024
136. Vertical aerosol data assimilation technology and application based on satellite and ground lidar: A review and outlook T. Yang et al. 10.1016/j.jes.2022.04.012
137. Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis K. Miyazaki & K. Bowman 10.5194/acp-17-8285-2017
138. Chemical Feedback From Decreasing Carbon Monoxide Emissions B. Gaubert et al. 10.1002/2017GL074987
139. Aerosol above-cloud direct radiative effect and properties in the Namibian region during the AErosol, RadiatiOn, and CLOuds in southern Africa (AEROCLO-sA) field campaign – Multi-Viewing, Multi-Channel, Multi-Polarization (3MI) airborne simulator and sun photometer measurements A. Chauvigné et al. 10.5194/acp-21-8233-2021
140. Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 1: Climatology and trend P. Xian et al. 10.5194/acp-22-9915-2022
141. A three-dimensional-model inversion of methyl chloroform to constrain the atmospheric oxidative capacity S. Naus et al. 10.5194/acp-21-4809-2021
142. Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
143. Multi-Model Evaluation of Meteorological Drivers, Air Pollutants and Quantification of Emission Sources over the Upper Brahmaputra Basin A. Saikia et al. 10.3390/atmos10110703
144. Significantly mitigating PM2.5 pollution level via reduction of NOx emission during wintertime S. Fu et al. 10.1016/j.scitotenv.2023.165350
145. Stochastic representations of model uncertainties at ECMWF: state of the art and future vision M. Leutbecher et al. 10.1002/qj.3094
146. Toward a New UV Index Diagnostic in the Met Office's Forecast Model E. Turner et al. 10.1002/2017MS001050