74 citations as recorded by crossref.

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2. Current state of aerosol nucleation parameterizations for air-quality and climate modeling K. Semeniuk & A. Dastoor 10.1016/j.atmosenv.2018.01.039
3. Evaluating the ability of numerical models to capture important shifts in environmental time series: A fuzzy change point approach M. Hollaway et al. 10.1016/j.envsoft.2021.104993
4. Comparison and evaluation of statistical criteria in the solar cell and photovoltaic module parameters’ extraction M. Louzazni et al. 10.1080/01430750.2018.1517678
5. Evaluation of forward-modelled attenuated backscatter using an urban ceilometer network in London under clear-sky conditions E. Warren et al. 10.1016/j.atmosenv.2018.04.045
6. A rigorous statistical framework for spatio-temporal pollution prediction and estimation of its long-term impact on health D. Lee et al. 10.1093/biostatistics/kxw048
7. An assessment of metaheuristic approaches for flood assessment H. Pourghasemi et al. 10.1016/j.jhydrol.2019.124536
8. Future air pollution related health burdens associated with RCP emission changes in the UK S. Fenech et al. 10.1016/j.scitotenv.2021.145635
9. Exploiting satellite measurements to explore uncertainties in UK bottom-up NO<sub><i>x</i></sub> emission estimates R. Pope et al. 10.5194/acp-22-4323-2022
10. Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone U. Im et al. 10.1016/j.atmosenv.2014.09.042
11. Computational AI prediction models for residual tensile strength of GFRP bars aged in the alkaline concrete environment M. Iqbal et al. 10.1016/j.oceaneng.2021.109134
12. High spatial resolution WRF-Chem model over Asia: Physics and chemistry evaluation P. Sicard et al. 10.1016/j.atmosenv.2020.118004
13. The On-Line Integrated Mesoscale Chemistry Model BOLCHEM R. Cesari et al. 10.3390/atmos12020192
14. Evaluation of the MACC operational forecast system – potential and challenges of global near-real-time modelling with respect to reactive gases in the troposphere A. Wagner et al. 10.5194/acp-15-14005-2015
15. GIST-PM-Asia v1: development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia S. Lee et al. 10.5194/gmd-9-17-2016
16. How have surface NO2 concentrations changed as a result of the UK’s COVID-19 travel restrictions? H. Dacre et al. 10.1088/1748-9326/abb6a2
17. The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO<sub>2</sub> R. Pope et al. 10.5194/acp-15-11201-2015
18. Dynamically Updated Spatially Varying Parameterizations of Hierarchical Bayesian Models for Spatial Data M. Bass & S. Sahu 10.1080/10618600.2018.1482761
19. Evaluation of a regional air quality model using satellite column NO<sub>2</sub>: treatment of observation errors and model boundary conditions and emissions R. Pope et al. 10.5194/acp-15-5611-2015
20. Improving Sports Outcome Prediction Process Using Integrating Adaptive Weighted Features and Machine Learning Techniques C. Lu et al. 10.3390/pr9091563
21. A comparison of centring parameterisations of Gaussian process-based models for Bayesian computation using MCMC M. Bass & S. Sahu 10.1007/s11222-016-9700-z
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23. From Operational Ceilometer Network to Operational Lidar Network M. Adam et al. 10.1051/epjconf/201611927007
24. Evaluation of the new UKCA climate-composition model – Part 2: The Troposphere F. O'Connor et al. 10.5194/gmd-7-41-2014
25. Quantifying the impact of current and future concentrations of air pollutants on respiratory disease risk in England F. Pannullo et al. 10.1186/s12940-017-0237-1
26. A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R‐INLA C. Forlani et al. 10.1002/env.2644
27. Evaluation of Analysis by Cross-Validation. Part I: Using Verification Metrics R. Ménard & M. Deshaies-Jacques 10.3390/atmos9030086
28. A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain R. Schneider et al. 10.3390/rs12223803
29. Regional scale air quality modelling system in India: issues, challenges and suggestive framework N. Shukla et al. 10.1007/s12517-023-11474-2
30. Integrating drilling parameters and machine learning tools to improve real-time porosity prediction of multi-zone reservoirs. Case study: Rhourd Chegga oilfield, Algeria A. Ouladmansour et al. 10.1016/j.geoen.2023.211511
31. Using Unmanned Aerial Systems (UAS) to assay mangrove estuaries on the Pacific coast of Costa Rica A. Yaney-Keller et al. 10.1371/journal.pone.0217310
32. NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data H. Gordon et al. 10.1029/2022MS003457
33. The impact of synoptic weather on UK surface ozone and implications for premature mortality R. Pope et al. 10.1088/1748-9326/11/12/124004
34. Meteorological drivers and mortality associated with O3 and PM2.5 air pollution episodes in the UK in 2006 S. Fenech et al. 10.1016/j.atmosenv.2019.06.030
35. Exploring the sensitivity of atmospheric nitrate concentrations to nitric acid uptake rate using the Met Office's Unified Model A. Jones et al. 10.5194/acp-21-15901-2021
36. Tropospheric chemistry in the Integrated Forecasting System of ECMWF J. Flemming et al. 10.5194/gmd-8-975-2015
37. A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran K. Khosravi et al. 10.1016/j.scitotenv.2018.01.266
38. Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS D. Tien Bui et al. 10.1016/j.jhydrol.2016.06.027
39. A description and evaluation of an air quality model nested within global and regional composition-climate models using MetUM L. Neal et al. 10.5194/gmd-10-3941-2017
40. An intercomparison of observational precipitation data sets over Northwest India during winter M. Nageswararao et al. 10.1007/s00704-017-2083-z
41. Online coupled regional meteorology chemistry models in Europe: current status and prospects A. Baklanov et al. 10.5194/acp-14-317-2014
42. Hydrodynamic Model Optimization for Marine Tourism Development Suitability in Vicinity of Poso Regency Coastal Area, Central Sulawesi, Indonesia S. Hermawan et al. 10.3390/su15043150
43. Forecasting Capabilities for the London 2012 Olympics B. Golding et al. 10.1175/BAMS-D-13-00102.1
44. A land use regression model for explaining spatial variation in air pollution levels using a wind sector based approach O. Naughton et al. 10.1016/j.scitotenv.2018.02.317
45. Influence of isoprene chemical mechanism on modelled changes in tropospheric ozone due to climate and land use over the 21st century O. Squire et al. 10.5194/acp-15-5123-2015
46. Performance evaluation of various techniques in estimating precipitation record of a sparsely gauged mountainous watershed S. Khan & U. Naeem 10.1007/s10661-023-12143-3
47. Application of a statistical post-processing technique to a gridded, operational, air quality forecast L. Neal et al. 10.1016/j.atmosenv.2014.09.004
48. The influence of synoptic weather regimes on UK air quality: analysis of satellite column NO2 R. Pope et al. 10.1002/asl2.492
49. Climate intervention on a high-emissions pathway could delay but not prevent West Antarctic Ice Sheet demise J. Sutter et al. 10.1038/s41558-023-01738-w
50. Performance of various techniques in estimating missing climatological data over snowbound mountainous areas of Karakoram Himalaya N. Kanda et al. 10.1002/met.1699
51. Nonpoint pollution loading forecast and assessment of optimal area of constructed wetland in dam watershed considering climate change scenario uncertainty H. Yi et al. 10.1016/j.ecoleng.2020.105910
52. Comparison between genetic algorithm‐multiple linear regression and back‐propagation‐artificial neural network methods for predicting the LD50 of organo (phosphate and thiophosphate) compounds M. Kianpour et al. 10.1002/jccs.201900514
53. Validation of WRF/Chem model and sensitivity of chemical mechanisms to ozone simulation over megacity Delhi M. Gupta & M. Mohan 10.1016/j.atmosenv.2015.09.039
54. Finding behavioral parameterization for a 1-D water balance model by multi-criteria evaluation M. Casper et al. 10.2478/johh-2019-0005
55. Potential impacts of emissions associated with unconventional hydrocarbon extraction on UK air quality and human health A. Archibald et al. 10.1007/s11869-018-0570-8
56. Cluster-Based Quality-Aware Adaptive Data Compression for Streaming Data A. Basheer & K. Sha 10.1145/3122863
57. Imputation of missing precipitation data using KNN, SOM, RF, and FNN A. Sahoo & D. Ghose 10.1007/s00500-022-07029-4
58. Haze in Singapore – source attribution of biomass burning PM<sub>10</sub> from Southeast Asia A. Hansen et al. 10.5194/acp-19-5363-2019
59. Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature T. Chai & R. Draxler 10.5194/gmd-7-1247-2014
60. Long-term airborne measurements of pollutants over the United Kingdom to support air quality model development and evaluation A. Mynard et al. 10.5194/amt-16-4229-2023
61. Spatial analysis and evolution of four air pollutants in England and Wales Á. Prieto et al. 10.1016/j.scitotenv.2021.145665
62. Fitting the variogram model of nickel laterite using root means square error in Morowali, Central Sulawesi B. Anggara et al. 10.1088/1755-1315/882/1/012042
63. Evaluation of the United States National Air Quality Forecast Capability experimental real-time predictions in 2010 using Air Quality System ozone and NO<sub>2</sub> measurements T. Chai et al. 10.5194/gmd-6-1831-2013
64. Sensitivity of PBL parameterizations on PM10 and ozone simulation using chemical transport model WRF-Chem over a sub-tropical urban airshed in India M. Mohan & M. Gupta 10.1016/j.atmosenv.2018.04.054
65. Climate data verification for assessing climate change in Almaty region of the Republic of Kazakhstan K. Kyrgyzbay et al. 10.1016/j.cliser.2023.100423
66. Cross Assessment of Twenty-One Different Methods for Missing Precipitation Data Estimation A. Armanuos et al. 10.3390/atmos11040389
67. Monitoring Total Suspended Sediment Concentration in Spatiotemporal Domain over Teluk Lipat Utilizing Landsat 8 (OLI) F. Sa’ad et al. 10.3390/app11157082
68. Evaluating cloud properties in an ensemble of regional online coupled models against satellite observations R. Baró et al. 10.5194/acp-18-15183-2018
69. Mortality and emergency hospitalizations associated with atmospheric particulate matter episodes across the UK in spring 2014 H. Macintyre et al. 10.1016/j.envint.2016.07.018
70. Modeling study of the impact of SO<sub>2</sub> volcanic passive emissions on the tropospheric sulfur budget C. Lamotte et al. 10.5194/acp-21-11379-2021
71. A novel hybrid approach to flood susceptibility assessment based on machine learning and land use change. Case study: a river watershed in Vietnam H. Nguyen et al. 10.1080/02626667.2022.2060108
72. Air quality modelling, simulation, and computational methods: a review M. El-Harbawi 10.1139/er-2012-0056
73. A perspective on urban canopy layer modeling for weather, climate and air quality applications J. Ching 10.1016/j.uclim.2013.02.001
74. Measurement of boundary layer ozone concentrations on‐board a Skywalker unmanned aerial vehicle S. Illingworth et al. 10.1002/asl2.496