@article{Nissenbaum2023,
  title = {Six types of dust events in Eastern Mediterranean identified using unsupervised machine-learning classification},
  volume = {309},
  ISSN = {1352-2310},
  url = {http://dx.doi.org/10.1016/j.atmosenv.2023.119902},
  DOI = {10.1016/j.atmosenv.2023.119902},
  journal = {Atmospheric Environment},
  publisher = {Elsevier BV},
  author = {Nissenbaum,  Dori and Sarafian,  Ron and Rudich,  Yinon and Raveh-Rubin,  Shira},
  year = {2023},
  month = sep,
  pages = {119902}
}

@inproceedings{munir2024efficient,
  title={Efficient Localized Adaptation of Neural Weather Forecasting: A Case Study in the MENA Region},
  author={Munir, Muhammad Akhtar and Shahbaz, Fahad and Khan, Salman},
  booktitle={NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning},
  url={https://www.climatechange.ai/papers/neurips2024/42},
  year={2024}
}

@article{Nakhjiri2024,
  title = {Air pollution in industrial clusters: A comprehensive analysis and prediction using multi-source data},
  volume = {80},
  ISSN = {1574-9541},
  url = {http://dx.doi.org/10.1016/j.ecoinf.2024.102504},
  DOI = {10.1016/j.ecoinf.2024.102504},
  journal = {Ecological Informatics},
  publisher = {Elsevier BV},
  author = {Nakhjiri,  Armin and Kakroodi,  Ata Abdollahi},
  year = {2024},
  month = may,
  pages = {102504}
}

@article{Freedman1981,
  title={On the histogram as a density estimator: L 2 theory},
  author={Freedman, David and Diaconis, Persi},
  journal={Zeitschrift f{\"u}r Wahrscheinlichkeitstheorie und verwandte Gebiete},
  volume={57},
  number={4},
  pages={453--476},
  year={1981},
  publisher={Springer-Verlag Berlin/Heidelberg}
}

@misc{cui2019classbalancedlossbasedeffective,
      title={Class-Balanced Loss Based on Effective Number of Samples}, 
      author={Yin Cui and Menglin Jia and Tsung-Yi Lin and Yang Song and Serge Belongie},
      year={2019},
      eprint={1901.05555},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/1901.05555}, 
}

# article on the stats of deaths caused due to air pollution
@article{owid-air-pollution,
    author = {Hannah Ritchie and Max Roser},
    title = {Air Pollution},
    journal = {Our World in Data},
    year = {2021},
    note = {https://ourworldindata.org/air-pollution}
}

# climax
@misc{nguyen2023climaxfoundationmodelweather,
      title={ClimaX: A foundation model for weather and climate}, 
      author={Tung Nguyen and Johannes Brandstetter and Ashish Kapoor and Jayesh K. Gupta and Aditya Grover},
      year={2023},
      eprint={2301.10343},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2301.10343}, 
}

@article{zhou2019multi,
  title={Multi-output support vector machine for regional multi-step-ahead PM2. 5 forecasting},
  author={Zhou, Yanlai and Chang, Fi-John and Chang, Li-Chiu and Kao, I-Feng and Wang, Yi-Shin and Kang, Che-Chia},
  journal={Science of the Total Environment},
  volume={651},
  pages={230--240},
  year={2019},
  publisher={Elsevier}
}

@article{lv2016development,
  title={Development of nonlinear empirical models to forecast daily PM2. 5 and ozone levels in three large Chinese cities},
  author={Lv, Baolei and Cobourn, W Geoffrey and Bai, Yuqi},
  journal={Atmospheric Environment},
  volume={147},
  pages={209--223},
  year={2016},
  publisher={Elsevier}
}

@article{bodnar2024aurora,
  title={Aurora: A foundation model of the atmosphere},
  author={Bodnar, Cristian and Bruinsma, Wessel P and Lucic, Ana and Stanley, Megan and Brandstetter, Johannes and Garvan, Patrick and Riechert, Maik and Weyn, Jonathan and Dong, Haiyu and Vaughan, Anna and others},
  journal={arXiv preprint arXiv:2405.13063},
  year={2024}
}

@book{heger2022blue,
  title={Blue skies, blue seas: air pollution, marine plastics, and coastal erosion in the Middle East and North Africa},
  author={Heger, Martin and Vashold, Lukas and Palacios, Anabella and Alahmadi, Mala and Acerbi, Marcelo},
  year={2022},
  publisher={World Bank Publications}
}

@article{bi2023accurate,
  title={Accurate medium-range global weather forecasting with 3D neural networks},
  author={Bi, Kaifeng and Xie, Lingxi and Zhang, Hengheng and Chen, Xin and Gu, Xiaotao and Tian, Qi},
  journal={Nature},
  volume={619},
  number={7970},
  pages={533--538},
  year={2023},
  publisher={Nature Publishing Group UK London}
}

@article{cobourn2010enhanced,
  title={An enhanced PM2. 5 air quality forecast model based on nonlinear regression and back-trajectory concentrations},
  author={Cobourn, W Geoffrey},
  journal={Atmospheric Environment},
  volume={44},
  number={25},
  pages={3015--3023},
  year={2010},
  publisher={Elsevier}
}
@misc{dosovitskiy2021imageworth16x16words,
      title={An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale}, 
      author={Alexey Dosovitskiy and Lucas Beyer and Alexander Kolesnikov and Dirk Weissenborn and Xiaohua Zhai and Thomas Unterthiner and Mostafa Dehghani and Matthias Minderer and Georg Heigold and Sylvain Gelly and Jakob Uszkoreit and Neil Houlsby},
      year={2021},
      eprint={2010.11929},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2010.11929}, 
}

@inbook{CAMS23,
  author = {ECMWF},
  title = {IFS Documentation CY48R1 - Part VIII: Atmospheric Composition},
  year = {2023},
  journal = {IFS Documentation CY48R1},
  number = {8},
  month = {06/2023},
  publisher = {ECMWF},
  doi = {10.21957/749dc09059},
}

@article{ojha2020widespread,
  title={On the widespread enhancement in fine particulate matter across the Indo-Gangetic Plain towards winter},
  author={Ojha, Narendra and Sharma, Amit and Kumar, Manish and Girach, Imran and Ansari, Tabish U and Sharma, Som K and Singh, Narendra and Pozzer, Andrea and Gunthe, Sachin S},
  journal={Scientific reports},
  volume={10},
  number={1},
  pages={5862},
  year={2020},
  publisher={Nature Publishing Group UK London}
}
@article{hao2020spatiotemporal,
  title={Spatiotemporal patterns of PM2. 5 elemental composition over China and associated health risks},
  author={Hao, Yufang and Luo, Bin and Simayi, Maimaiti and Zhang, Wei and Jiang, Yan and He, Jiming and Xie, Shaodong},
  journal={Environmental Pollution},
  volume={265},
  pages={114910},
  year={2020},
  publisher={Elsevier}
}
@misc{li2019air,
  title={Air pollution: a global problem needs local fixes},
  author={Li, Xiangdong and Jin, Ling and Kan, Haidong},
  year={2019},
  publisher={Nature Publishing Group}
}


@article{yu2022deep,
  title={Deep ensemble machine learning framework for the estimation of PM 2.5 concentrations},
  author={Yu, Wenhua and Li, Shanshan and Ye, Tingting and Xu, Rongbin and Song, Jiangning and Guo, Yuming},
  journal={Environmental health perspectives},
  volume={130},
  number={3},
  pages={037004},
  year={2022}
}

@article{zhang2012source,
  title={Source apportionment of PM2. 5 nitrate and sulfate in China using a source-oriented chemical transport model},
  author={Zhang, Hongliang and Li, Jingyi and Ying, Qi and Yu, Jian Zhen and Wu, Dui and Cheng, Yuan and He, Kebin and Jiang, Jingkun},
  journal={Atmospheric environment},
  volume={62},
  pages={228--242},
  year={2012},
  publisher={Elsevier}
}
@article{cai2023forecasting,
  title={Forecasting hourly PM2. 5 concentrations based on decomposition-ensemble-reconstruction framework incorporating deep learning algorithms},
  author={Cai, Peilei and Zhang, Chengyuan and Chai, Jian},
  journal={Data Science and Management},
  volume={6},
  number={1},
  pages={46--54},
  year={2023},
  publisher={Elsevier}
}

@misc{whoAmbientoutdoor,
	author = {WHO},
	title = {{A}mbient (outdoor) air pollution --- who.int},
	howpublished = {\url{https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health}},
	year = {2024},
	note = {[Accessed 20-09-2024]},
}

@misc{alshammari2022longtailedrecognitionweightbalancing,
      title={Long-Tailed Recognition via Weight Balancing}, 
      author={Shaden Alshammari and Yu-Xiong Wang and Deva Ramanan and Shu Kong},
      year={2022},
      eprint={2203.14197},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2203.14197}, 
}

@article{Rasp_2020,
   title={WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting},
   volume={12},
   ISSN={1942-2466},
   url={http://dx.doi.org/10.1029/2020MS002203},
   DOI={10.1029/2020ms002203},
   number={11},
   journal={Journal of Advances in Modeling Earth Systems},
   publisher={American Geophysical Union (AGU)},
   author={Rasp, Stephan and Dueben, Peter D. and Scher, Sebastian and Weyn, Jonathan A. and Mouatadid, Soukayna and Thuerey, Nils},
   year={2020},
   month=nov }

@misc{nguyen2023scalingtransformerneuralnetworks,
      title={Scaling transformer neural networks for skillful and reliable medium-range weather forecasting}, 
      author={Tung Nguyen and Rohan Shah and Hritik Bansal and Troy Arcomano and Sandeep Madireddy and Romit Maulik and Veerabhadra Kotamarthi and Ian Foster and Aditya Grover},
      year={2023},
      eprint={2312.03876},
      archivePrefix={arXiv},
      primaryClass={physics.ao-ph},
      url={https://arxiv.org/abs/2312.03876}, 
}

@article{Li2022,
  title = {PM2.5 Concentration Exposure over the Belt and Road Region from 2000 to 2020},
  volume = {19},
  ISSN = {1660-4601},
  url = {http://dx.doi.org/10.3390/ijerph19052852},
  DOI = {10.3390/ijerph19052852},
  number = {5},
  journal = {International Journal of Environmental Research and Public Health},
  publisher = {MDPI AG},
  author = {Li,  Shenxin and Shafi,  Sedra and Zou,  Bin and Liu,  Jing and Xiong,  Ying and Muhammad,  Bilal},
  year = {2022},
  month = mar,
  pages = {2852}
}

@book{WHO2021,
  title={Global air quality guidelines: Particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide},
  author={WHO},
  year={2021},
  publisher={World Health Organization},
  address={Geneva},
  note={Licence: CC BY-NC-SA 3.0 IGO}
}

@article{CabelloTorres2022,
  title = {Statistical modeling approach for PM10 prediction before and during confinement by COVID-19 in South Lima,  Perú},
  volume = {12},
  ISSN = {2045-2322},
  url = {http://dx.doi.org/10.1038/s41598-022-20904-2},
  DOI = {10.1038/s41598-022-20904-2},
  number = {1},
  journal = {Scientific Reports},
  publisher = {Springer Science and Business Media LLC},
  author = {Cabello-Torres,  Rita Jaqueline and Estela,  Manuel Angel Ponce and Sánchez-Ccoyllo,  Odón and Romero-Cabello,  Edison Alessandro and Ávila,  Fausto Fernando García and Castañeda-Olivera,  Carlos Alberto and Valdiviezo-Gonzales,  Lorgio and Eulogio,  Carlos Enrique Quispe and De La Cruz,  Alex Rubén Huamán and López-Gonzales,  Javier Linkolk},
  year = {2022},
  month = oct 
}

@article{Yang2017,
  title = {The Relationships between PM2.5 and Meteorological Factors in China: Seasonal and Regional Variations},
  volume = {14},
  ISSN = {1660-4601},
  url = {http://dx.doi.org/10.3390/ijerph14121510},
  DOI = {10.3390/ijerph14121510},
  number = {12},
  journal = {International Journal of Environmental Research and Public Health},
  publisher = {MDPI AG},
  author = {Yang,  Qianqian and Yuan,  Qiangqiang and Li,  Tongwen and Shen,  Huanfeng and Zhang,  Liangpei},
  year = {2017},
  month = dec,
  pages = {1510}
}

@article{Li2017,
  title = {Temporal and spatial analyses of particulate matter (PM 10 and PM 2.5 ) and its relationship with meteorological parameters over an urban city in northeast China},
  volume = {198},
  ISSN = {0169-8095},
  url = {http://dx.doi.org/10.1016/j.atmosres.2017.08.023},
  DOI = {10.1016/j.atmosres.2017.08.023},
  journal = {Atmospheric Research},
  publisher = {Elsevier BV},
  author = {Li,  Xiaolan and Ma,  Yanjun and Wang,  Yangfeng and Liu,  Ningwei and Hong,  Ye},
  year = {2017},
  month = dec,
  pages = {185–193}
}

@article{Wang2014,
  title = {Enhanced sulfate formation during China’s severe winter haze episode in January 2013 missing from current models},
  volume = {119},
  ISSN = {2169-8996},
  url = {http://dx.doi.org/10.1002/2013JD021426},
  DOI = {10.1002/2013jd021426},
  number = {17},
  journal = {Journal of Geophysical Research: Atmospheres},
  publisher = {American Geophysical Union (AGU)},
  author = {Wang,  Yuxuan and Zhang,  Qianqian and Jiang,  Jingkun and Zhou,  Wei and Wang,  Buying and He,  Kebin and Duan,  Fengkui and Zhang,  Qian and Philip,  Sajeev and Xie,  Yuanyu},
  year = {2014},
  month = sep 
}

@ARTICLE{Sarafian2023-mx,
  title     = "Deep multi-task learning for early warnings of dust events
               implemented for the Middle East",
  author    = "Sarafian, Ron and Nissenbaum, Dori and Raveh-Rubin, Shira and
               Agrawal, Vikhyat and Rudich, Yinon",
  journal   = "Npj Clim. Atmos. Sci.",
  publisher = "Springer Science and Business Media LLC",
  volume    =  6,
  number    =  1,
  month     =  mar,
  year      =  2023,
  copyright = "https://creativecommons.org/licenses/by/4.0",
  language  = "en"
}


@ARTICLE{Masood2023-mc,
  title    = "Improving {PM2.5} prediction in New Delhi using a hybrid extreme
              learning machine coupled with snake optimization algorithm",
  author   = "Masood, Adil and Hameed, Mohammed Majeed and Srivastava, Aman and
              Pham, Quoc Bao and Ahmad, Kafeel and Razali, Siti Fatin Mohd and
              Baowidan, Souad Ahmad",
  journal  = "Sci. Rep.",
  volume   =  13,
  number   =  1,
  pages    = "21057",
  month    =  nov,
  year     =  2023,
  language = "en"
}
