@article{53227,
  author       = {{Deveci, Muhammet and Pamucar, Dragan and Gokasar, Ilgin and Tavana, Madjid}},
  issn         = {{0273-1177}},
  journal      = {{Advances in Space Research}},
  keywords     = {{Space and Planetary Science, Aerospace Engineering, General Earth and Planetary Sciences, Atmospheric Science, Geophysics, Astronomy and Astrophysics}},
  number       = {{9}},
  pages        = {{3534--3551}},
  publisher    = {{Elsevier BV}},
  title        = {{{Spacecraft tracking control and synchronization: An assessment of conventional, unconventional, and combined methods}}},
  doi          = {{10.1016/j.asr.2022.07.056}},
  volume       = {{71}},
  year         = {{2023}},
}

@article{36834,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Increasing average temperatures and heat waves are having devasting impacts on human health and well-being but studies of heat impacts and how people adapt are rare and often confined to specific locations. In this study, we explore how analysis of conversations on social media can be used to understand how people feel about heat waves and how they respond. We collected global Twitter data over four months (from January to April 2022) using predefined hashtags about heat waves. Topic modelling identified five topics. The largest (one-third of all tweets) was related to sports events. The remaining two-thirds could be allocated to four topics connected to communication about climate-related heat or heat waves. Two of these were on the impacts of heat and heat waves (health impacts 20%; social impacts 16%), one was on extreme weather and climate change attribution (17%) and the last one was on perceptions and warning (13%). The number of tweets in each week corresponded well with major heat wave occurrences in Argentina, Australia, the USA and South Asia (India and Pakistan), indicating that people posting tweets were aware of the threat from heat and its impacts on the society. Among the words frequently used within the topic ‘Social impacts’ were ‘air-conditioning’ and ‘electricity’, suggesting links between coping strategies and financial pressure. Apart from analysing the content of tweets, new insights were also obtained from analysing how people engaged with Twitter tweets about heat or heat waves. We found that tweets posted early, and which were then shared by other influential Twitter users, were among the most popular. Finally, we found that the most popular tweets belonged to individual scientists or respected news outlets, with no evidence that misinformation about climate change-related heat is widespread.
</jats:p>}},
  author       = {{Zander, Kerstin K. and Rieskamp, Jonas and Mirbabaie, Milad and Alazab, Mamoun and Nguyen, Duy}},
  issn         = {{0921-030X}},
  journal      = {{Natural Hazards}},
  keywords     = {{Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Water Science and Technology}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Responses to heat waves: what can Twitter data tell us?}}},
  doi          = {{10.1007/s11069-023-05824-2}},
  year         = {{2023}},
}

@article{43212,
  author       = {{Rodriguez Lopez, Juan Miguel and Engels, Anita and Knoll, Lisa}},
  issn         = {{1469-3062}},
  journal      = {{Climate Policy}},
  keywords     = {{Atmospheric Science, Environmental Science (miscellaneous), Global and Planetary Change, Management, Monitoring, Policy and Law}},
  number       = {{3}},
  pages        = {{346--360}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Understanding carbon trading: Effects of delegating CO<sub>2</sub> responsibility on organizations’ trading behaviour}}},
  doi          = {{10.1080/14693062.2015.1119096}},
  volume       = {{17}},
  year         = {{2016}},
}