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Paper Citation Record · LEDGER

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap

As of 10 August 2026, this Paper Citation Record lists 100 of 226 outbound references and 1 inbound Pith citation observation for arXiv:2506.16281.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.16281 v1

Coverage vector

measured 100 of 226 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:48:07.698983Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:44:30.255102Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 226 outbound references displayed

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Outbound references

Observation a244fe6f-95e8-4361-97e0-336cf642e6a0 · outbound

This paper cites The research priorities of resources and environmental sciences,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap The research priorities of resources and environmental sciences,

Reference 1

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Observation 4f3c248b-5725-4dab-87dd-0bef9591e1e3 · outbound

This paper cites A review of the global climate change impacts, adapta- tion, and sustainable mitigation measures,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap A review of the global climate change impacts, adapta- tion, and sustainable mitigation measures,

Reference 2

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Observation bf73312f-b789-4e6f-9703-39305900a7b6 · outbound

This paper cites (2024) Devastating rainfall hits spain: yet another flood-related disaster.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap (2024) Devastating rainfall hits spain: yet another flood-related disaster

Reference 3

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Observation f0d3fded-a18b-44b3-9c4f-9078648d824c · outbound

This paper cites (2024) Copernicus: Second warmest november globally confirms expectation of 2024 as warmest year.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap (2024) Copernicus: Second warmest november globally confirms expectation of 2024 as warmest year

Reference 4

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Observation 289d22dd-59be-49be-a7e6-d9b74f671949 · outbound

This paper cites an unresolved cited work.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Unresolved cited work

Reference 5

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Observation bd45581e-586d-4e82-8deb-4fc2798857da · outbound

This paper cites A scientific perspective on big data in earth observation,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap A scientific perspective on big data in earth observation,

Reference 6

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Observation a8dba2c4-190c-4e56-9351-37f9ac97e456 · outbound

This paper cites Big data in earth science: Emerging practice and promise,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Big data in earth science: Emerging practice and promise,

Reference 7

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Observation 924d168c-94da-4f9a-94bd-a52b1bb73c56 · outbound

This paper cites Deep learning for processing and analysis of remote sensing big data: A technical review,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Deep learning for processing and analysis of remote sensing big data: A technical review,

Reference 8

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Observation 541f0e45-325a-4ef0-a91d-b39f6d7a56e7 · outbound

This paper cites Iot and big data applications in smart cities: recent advances, challenges, and critical issues,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Iot and big data applications in smart cities: recent advances, challenges, and critical issues,

Reference 9

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Observation f227f1b3-be6a-4477-985e-c744ad1e46a1 · outbound

This paper cites Big data and iot-based applications in smart environments: A systematic review,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Big data and iot-based applications in smart environments: A systematic review,

Reference 10

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Observation 77e8e074-c945-4929-a8f2-efa74e7520d0 · outbound

This paper cites Internet of Things for environmental sustainability and climate change,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Internet of Things for environmental sustainability and climate change,

Reference 11

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Observation 634ab6dc-2aac-4398-a48d-24d845727a6a · outbound

This paper cites Data reliability and fault diagnostic for air quality monitoring station based on low cost sensors and active redundancy,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Data reliability and fault diagnostic for air quality monitoring station based on low cost sensors and active redundancy,

Reference 12

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Observation b2fe5065-e9ab-449f-b563-4a1600c71744 · outbound

This paper cites Advances in air quality research–current and emerging challenges,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Advances in air quality research–current and emerging challenges,

Reference 13

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Observation c0c2bada-ff6e-451c-af72-d6d6ee87b253 · outbound

This paper cites State of the art: high-performance and high-throughput computing for remote sensing big data,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap State of the art: high-performance and high-throughput computing for remote sensing big data,

Reference 14

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Observation 1cb63ad8-6aa8-4741-84cb-3a994a4bdbdb · outbound

This paper cites Toward a collective agenda on AI for earth science data analysis,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Toward a collective agenda on AI for earth science data analysis,

Reference 15

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Observation 69b6f6b3-cc23-4175-bc10-3bf4a7fe768a · outbound

This paper cites Dense air quality sensor networks: Validation, analysis, and benefits,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Dense air quality sensor networks: Validation, analysis, and benefits,

Reference 16

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Observation 764a0aa2-5906-45bd-be56-130480ac90d9 · outbound

This paper cites From Artificial Intelligence to explainable Artificial intelligence in industry 4.0: a survey on what, how, and where,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap From Artificial Intelligence to explainable Artificial intelligence in industry 4.0: a survey on what, how, and where,

Reference 17

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Observation ceae2298-dbbe-4802-96f1-47b52bb3b69e · outbound

This paper cites Challenges and benchmark datasets for machine learning in the atmospheric sciences: Definition, status, and outlook,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Challenges and benchmark datasets for machine learning in the atmospheric sciences: Definition, status, and outlook,

Reference 18

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Observation 26084516-515c-4fa9-a13d-692fced47e8c · outbound

This paper cites Opinion: New directions in atmospheric research offered by research infrastructures combined with open and data-intensive science,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Opinion: New directions in atmospheric research offered by research infrastructures combined with open and data-intensive science,

Reference 19

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Observation e8290d93-cbcc-4a4f-9f1f-2da15ad56ca9 · outbound

This paper cites Build a global earth observatory,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Build a global earth observatory,

Reference 20

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Observation e17ff6d2-b025-418d-aff6-bb4c89590d49 · outbound

This paper cites Chapter 9 - A2CI: A cloud-based, service-oriented geospatial cyberinfrastructure to support atmospheric research,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Chapter 9 - A2CI: A cloud-based, service-oriented geospatial cyberinfrastructure to support atmospheric research,

Reference 21

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Observation d926b074-1a9d-4902-8b51-421e00e56183 · outbound

This paper cites Atmospheric obser- vations of weather and climate,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Atmospheric obser- vations of weather and climate,

Reference 22

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This paper cites Station for measuring ecosystem-atmosphere relations: Smear,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Station for measuring ecosystem-atmosphere relations: Smear,

Reference 23

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Observation 09af37ee-2e52-4157-89fa-57d502ec3ec4 · outbound

This paper cites Intelligent calibration and virtual sensing for integrated low-cost air quality sensors,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Intelligent calibration and virtual sensing for integrated low-cost air quality sensors,

Reference 24

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This paper cites Aerosol, Clouds and Trace Gases Research Infrastructure (ACTRIS): The European research infrastructure supporting atmospheric science,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Aerosol, Clouds and Trace Gases Research Infrastructure (ACTRIS): The European research infrastructure supporting atmospheric science,

Reference 25

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This paper cites The integrated carbon observation system in Europe,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap The integrated carbon observation system in Europe,

Reference 26

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This paper cites A review of space-air-ground integrated remote sensing techniques for atmospheric monitoring,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap A review of space-air-ground integrated remote sensing techniques for atmospheric monitoring,

Reference 27

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This paper cites An overview of the applications of earth observation satellite data: impacts and future trends,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap An overview of the applications of earth observation satellite data: impacts and future trends,

Reference 28

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This paper cites Around the world of IoT/climate monitoring using Internet of X-Things,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Around the world of IoT/climate monitoring using Internet of X-Things,

Reference 29

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This paper cites Irmaset: Intelligent weather forecaster system for hyperlocal renewable energies,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Irmaset: Intelligent weather forecaster system for hyperlocal renewable energies,

Reference 30

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This paper cites Modular air quality calibration and forecasting method for low-cost sensor nodes,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Modular air quality calibration and forecasting method for low-cost sensor nodes,

Reference 31

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Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Unresolved cited work

Reference 32

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This paper cites Machine learning information fusion in earth observation: A comprehensive review of methods, applications and data sources,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Machine learning information fusion in earth observation: A comprehensive review of methods, applications and data sources,

Reference 33

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Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Towards a training data model for artificial intelligence in earth observation,

Reference 34

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Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Mod- ern computing: Vision and challenges,

Reference 35

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Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Destination Earth: High- performance computing for weather and climate,

Reference 36

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Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Michalakes, HPC for Weather Forecasting

Reference 37

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Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Accelerating atmospheric chemical kinetics for climate simulations,

Reference 38

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This paper cites A review of operational, regional- scale, chemical weather forecasting models in Europe,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap A review of operational, regional- scale, chemical weather forecasting models in Europe,

Reference 39

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This paper cites Introduction to cloud computing,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Introduction to cloud computing,

Reference 40

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This paper cites Catch: A cloud-based adaptive data transfer service for hpc,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Catch: A cloud-based adaptive data transfer service for hpc,

Reference 41

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This paper cites Cloud computing for climate modelling: Evaluation, challenges and benefits,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Cloud computing for climate modelling: Evaluation, challenges and benefits,

Reference 42

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This paper cites Google Earth Engine cloud computing platform for remote sensing big data applications: A comprehensive review,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Google Earth Engine cloud computing platform for remote sensing big data applications: A comprehensive review,

Reference 43

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Observation fb3be0be-2bf8-4245-b706-706455dcf494 · outbound

This paper cites Big data and cloud computing: innovation opportunities and challenges,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Big data and cloud computing: innovation opportunities and challenges,

Reference 44

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This paper cites Recent advances in evolving computing paradigms: Cloud, edge, and fog technologies,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Recent advances in evolving computing paradigms: Cloud, edge, and fog technologies,

Reference 45

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Observation b89cfeda-ffc9-4408-aa84-e9d9b20817bf · outbound

This paper cites Environmental monitoring based on fog computing paradigm and internet of things,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Environmental monitoring based on fog computing paradigm and internet of things,

Reference 46

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This paper cites Edge-computing-driven Internet of Things: A survey,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Edge-computing-driven Internet of Things: A survey,

Reference 47

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Observation 0518fff5-6aeb-432d-b261-9afccd37ae3e · outbound

This paper cites An end-to-end early warning system based on wireless sensor network for gas leakage detection in industrial facilities,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap An end-to-end early warning system based on wireless sensor network for gas leakage detection in industrial facilities,

Reference 48

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Observation cebb0ba1-bc37-451b-a56e-f8412c4747be · outbound

This paper cites Fire sensing technologies: A review,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Fire sensing technologies: A review,

Reference 49

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Observation 345eacc3-2295-4d30-a050-346e053fa427 · outbound

This paper cites An edge and trustworthy AI UA V system with self-adaptivity and hyperspectral imaging for air quality monitoring,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap An edge and trustworthy AI UA V system with self-adaptivity and hyperspectral imaging for air quality monitoring,

Reference 50

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Observation 40430d97-b941-412d-903f-ff0ac3b62294 · outbound

This paper cites Building cross-site and cross- network collaborations in critical zone science,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Building cross-site and cross- network collaborations in critical zone science,

Reference 51

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Observation cd7c71a9-0e14-404a-aa81-3fe33cf2fb0c · outbound

This paper cites Beyond technology transfer: Innovation cooperation to advance sustainable development in developing countries,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Beyond technology transfer: Innovation cooperation to advance sustainable development in developing countries,

Reference 52

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Observation 8db2e4f3-f7cd-48d4-ac2c-2f35e3113a77 · outbound

This paper cites Assimilation of in-situ observations,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Assimilation of in-situ observations,

Reference 53

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Observation 657f7603-b33d-4ec7-994b-74134012d453 · outbound

This paper cites Ghost: a globally harmonised dataset of surface atmospheric composition measurements,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Ghost: a globally harmonised dataset of surface atmospheric composition measurements,

Reference 54

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Observation 961012d6-d76a-4934-b369-8fbbee2a3cba · outbound

This paper cites The copernicus climate change service: climate science in action,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap The copernicus climate change service: climate science in action,

Reference 55

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Observation b334733b-0af0-4735-825f-0325485f5b96 · outbound

This paper cites How machine learning could help to improve climate forecasts,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap How machine learning could help to improve climate forecasts,

Reference 56

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Observation bc8ae5bf-7a34-448e-9c54-84ecf275fce0 · outbound

This paper cites How AI is improving climate forecasts,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap How AI is improving climate forecasts,

Reference 57

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Observation a0fe488a-4487-4fa3-8acd-275c091675a7 · outbound

This paper cites Extreme weather: a large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Extreme weather: a large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events,

Reference 58

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Observation 84a1a4b8-9f35-4f2f-97c0-ab616aef0b50 · outbound

This paper cites Lscidmr: Large- scale satellite cloud image database for meteorological research,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Lscidmr: Large- scale satellite cloud image database for meteorological research,

Reference 59

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Observation 2e4a0121-152c-4d97-b95e-e1b2ff58be3c · outbound

This paper cites Llms and iot: A comprehensive survey on large language models and the internet of things,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Llms and iot: A comprehensive survey on large language models and the internet of things,

Reference 60

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Observation 8143439f-97bc-4c00-99ed-51915d79f461 · outbound

This paper cites Evaluation of low- cost air quality sensor calibration models,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Evaluation of low- cost air quality sensor calibration models,

Reference 61

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Observation 3de4f4ed-07f6-45e8-8456-5402654a5f89 · outbound

This paper cites Hourly rainfall forecast model using supervised learning algorithm,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Hourly rainfall forecast model using supervised learning algorithm,

Reference 62

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Observation 8f0881c4-31d2-4793-99c4-a200684d1bf7 · outbound

This paper cites Classifying sources influencing indoor air quality (IAQ) using artificial neural network (ANN),.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Classifying sources influencing indoor air quality (IAQ) using artificial neural network (ANN),

Reference 63

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Observation fed0982f-6c58-469f-a322-bbebae5fe41a · outbound

This paper cites Application of K-means and hier- archical clustering techniques for analysis of air pollution: A review (1980–2019),.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Application of K-means and hier- archical clustering techniques for analysis of air pollution: A review (1980–2019),

Reference 64

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Observation 4ec6fb3b-247e-4529-a9d2-ca44660fb2bd · outbound

This paper cites Urban air pollution monitoring system with forecasting models,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Urban air pollution monitoring system with forecasting models,

Reference 65

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Observation 4d7e7502-2342-4bae-a814-b850e8d3ce11 · outbound

This paper cites Improving the current air quality index with new particulate indicators using a robust statistical approach,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Improving the current air quality index with new particulate indicators using a robust statistical approach,

Reference 66

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Observation 7e6c4f3e-7dea-40f7-89d3-d8106a0e4d54 · outbound

This paper cites How will air quality effects on human health, crops and ecosystems change in the future?.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap How will air quality effects on human health, crops and ecosystems change in the future?

Reference 67

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Observation d1d767bc-b8a9-44a6-8ed2-1b7b2c59bace · outbound

This paper cites A chronology of global air quality,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap A chronology of global air quality,

Reference 68

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Observation 5f68c581-64e8-491f-b77c-1b8bf72b44ae · outbound

This paper cites Advances in air quality modeling and forecasting,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Advances in air quality modeling and forecasting,

Reference 69

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Observation c26de9fd-b9ee-4c84-9b81-df75564874cf · outbound

This paper cites Sensors and systems for air quality assessment monitoring and management: A review,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Sensors and systems for air quality assessment monitoring and management: A review,

Reference 70

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Observation 012f6592-ddb0-47cd-a8fe-30daa24cdb5d · outbound

This paper cites Application of a chemical transport model and optimized data assimilation methods to improve air quality assessment,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Application of a chemical transport model and optimized data assimilation methods to improve air quality assessment,

Reference 71

Resolution
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Observation 4eb007a5-6e5f-4e15-bb80-064c0bc6cdd8 · outbound

This paper cites Simulation of chemical transport model estimates by means of a neural network using meteo- rological data,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Simulation of chemical transport model estimates by means of a neural network using meteo- rological data,

Reference 72

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Observation a9e821cb-3d53-4ddf-8b89-75fb159b46c1 · outbound

This paper cites Emulation of an atmospheric gas-phase chemistry solver through deep learning: Case study of Chinese mainland,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Emulation of an atmospheric gas-phase chemistry solver through deep learning: Case study of Chinese mainland,

Reference 73

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Observation e35f46e8-2924-4621-b461-88846e7199f9 · outbound

This paper cites Intelligent modeling strate- gies for forecasting air quality time series: A review,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Intelligent modeling strate- gies for forecasting air quality time series: A review,

Reference 74

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Observation 5013e4d8-f45b-4b5a-8cad-62490e9c5730 · outbound

This paper cites Prediction of air pollution index (API) using support vector machine (SVM),.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Prediction of air pollution index (API) using support vector machine (SVM),

Reference 75

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Observation a0f6adf0-82a9-4593-b8cd-9e32b4411f78 · outbound

This paper cites Spatiotemporal prediction of daily ambient ozone levels across China using random forest for human exposure assessment,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Spatiotemporal prediction of daily ambient ozone levels across China using random forest for human exposure assessment,

Reference 76

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Observation 1d5d0222-7309-4bfb-bebd-5768610d8013 · outbound

This paper cites Air quality forecast using convolutional neural network for sustainable development in urban environments,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Air quality forecast using convolutional neural network for sustainable development in urban environments,

Reference 77

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This paper cites Multivariate air quality forecasting with nested long short term memory neural network,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Multivariate air quality forecasting with nested long short term memory neural network,

Reference 78

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Observation 8befc72e-39ca-435e-9d73-3032c85d3a3c · outbound

This paper cites Semi-supervised air quality forecasting via self-supervised hierarchical graph neural network,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Semi-supervised air quality forecasting via self-supervised hierarchical graph neural network,

Reference 79

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Observation 05cdaa7a-9949-4c28-ac6f-f22b18755b68 · outbound

This paper cites A framework for identifying distinct multipollutant profiles in air pollution data,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap A framework for identifying distinct multipollutant profiles in air pollution data,

Reference 80

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Observation 40a7f2fc-2f47-4702-aec4-15836a276cba · outbound

This paper cites An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability,

Reference 81

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Observation 1a426428-b63f-4203-8ed1-5211a2e8629e · outbound

This paper cites Deep learning based anomaly detection approach for air pollution assessment,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Deep learning based anomaly detection approach for air pollution assessment,

Reference 82

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This paper cites Integrating low-cost sensor monitoring, satellite mapping, and geospa- tial artificial intelligence for intra-urban air pollution predictions,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Integrating low-cost sensor monitoring, satellite mapping, and geospa- tial artificial intelligence for intra-urban air pollution predictions,

Reference 83

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This paper cites Reviewing explainable artificial in- telligence towards better air quality modelling,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Reviewing explainable artificial in- telligence towards better air quality modelling,

Reference 84

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Observation 8f50cf44-57f6-492c-b8f9-ff080a07b214 · outbound

This paper cites Low-cost outdoor air quality monitoring and sensor calibration: A survey and critical analysis,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Low-cost outdoor air quality monitoring and sensor calibration: A survey and critical analysis,

Reference 85

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Observation b9cc1b49-5774-4a5f-82ca-bb6d19f01996 · outbound

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Artificial Intelligence for Atmospheric Sciences: A Research Roadmap An innovative decision making method for air quality monitoring based on big data-assisted artificial intelligence technique,

Reference 86

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Observation 4d400d14-fe0a-41b2-84fb-87d8bef951b2 · outbound

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Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Ma- chine learning based bias correction for numerical chemical transport models,

Reference 87

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Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Networks of atmospheric measuring techniques,

Reference 88

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Observation ae54480d-40ee-43a7-be72-5888af8d9cf0 · outbound

This paper cites Measurement of the nucleation of atmospheric aerosol particles,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Measurement of the nucleation of atmospheric aerosol particles,

Reference 89

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This paper cites Direct observations of atmospheric aerosol nucleation,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Direct observations of atmospheric aerosol nucleation,

Reference 90

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Observation a2f4c277-5a55-4366-afab-979e749c4f21 · outbound

This paper cites Formation and growth of fresh atmospheric aerosols: eight years of aerosol size distribution data from SMEAR II, hyyti¨al¨a, finland,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Formation and growth of fresh atmospheric aerosols: eight years of aerosol size distribution data from SMEAR II, hyyti¨al¨a, finland,

Reference 91

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Observation e67ea0df-40b8-423c-933d-212398827cff · outbound

This paper cites Predicting atmospheric particle formation days by bayesian classification of the time series features,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Predicting atmospheric particle formation days by bayesian classification of the time series features,

Reference 92

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Observation 774ea503-992f-4ea0-b584-5022ab80f3cf · outbound

This paper cites New particle formation event detection with Mask R-CNN,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap New particle formation event detection with Mask R-CNN,

Reference 93

Resolution
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Observation 2ca71513-3543-4c5d-850e-060826268b74 · outbound

This paper cites Unsupervised data driven feature extrac- tion by means of mutual information maximization,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Unsupervised data driven feature extrac- tion by means of mutual information maximization,

Reference 94

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Observation 617a914d-34e5-4183-ba9c-cd9b9afe1be6 · outbound

This paper cites Exploring non-linear associations between atmospheric new-particle formation and ambient variables: a mutual information approach,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Exploring non-linear associations between atmospheric new-particle formation and ambient variables: a mutual information approach,

Reference 95

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Observation 1f26ade7-fb26-4157-a1d2-3d52bb32983f · outbound

This paper cites Exploring non-linear dependencies in atmospheric data with mutual information,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Exploring non-linear dependencies in atmospheric data with mutual information,

Reference 96

Resolution
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Observation eb5e81c4-2273-4508-a88e-a8fe3d50a56c · outbound

This paper cites Semi-supervised learning for integration of aerosol predictions from multiple satellite instruments,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Semi-supervised learning for integration of aerosol predictions from multiple satellite instruments,

Reference 97

Resolution
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Observation 71889f43-56b6-4453-ad54-1aecee38b1ed · outbound

This paper cites A machine learning explainability tutorial for atmospheric sciences,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap A machine learning explainability tutorial for atmospheric sciences,

Reference 98

Resolution
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Observation 2de7c59f-d538-4be5-b5be-59222c25a11d · outbound

This paper cites Kukreja, T.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Kukreja, T

Reference 99

Resolution
unresolved
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Observation 5d1f72f7-1301-4802-add6-ec3b973a9388 · outbound

This paper cites An assessment of how domain experts evaluate machine learning in operational meteorology,.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap An assessment of how domain experts evaluate machine learning in operational meteorology,

Reference 100

Resolution
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Pith citing papers

Observation f9e66bdd-478b-49d0-92bc-8820cf11509a · inbound

The Rise of AI in Weather and Climate Information and its Impact on Global Inequality cites this paper.

The Rise of AI in Weather and Climate Information and its Impact on Global Inequality Artificial Intelligence for Atmospheric Sciences: A Research Roadmap

Reference 42

Resolution
unresolved
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