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Module Reading List

Advanced Environmental Science Field and Research Skills, 2021/22, Semester 1
Dr Ruza Ivanovic
Tutor information is taken from the Module Catalogue

Bell, S., Cornford, D., & Bastin, L. (2013). The state of automated amateur weather observations.  Weather, 68(2), 36–41. 

Bell, S., Cornford, D., & Bastin, L. (2015). How good are citizen weather stations? Addressing a biased opinion.  Weather, 70(3), 75–84. 

Chapman, L., Bell, C., & Bell, S. (2017). Can the crowdsourcing data paradigm take atmospheric science to a new level? A case study of the urban heat island of London quantified using Netatmo weather stations. International Journal of Climatology, 37(9), 3597–3605. 

Chapman, L., Muller, C. L., Young, D. T., Warren, E. L., Grimmond, C. S. B., Cai, X. M., & Ferranti, E. J. S. (2015). The Birmingham urban climate laboratory: An open meteorological testbed and challenges of the Smart City. Bulletin of the American Meteorological Society, 96(9), 1545–1560. 

 Feichtinger, M., de Wit, R., Goldenits, G., Kolejka, T., Hollósi, B., Žuvela-Aloise, M., & Feigl, J. (2020). Case-study of neighbourhood-scale summertime urban air temperature for the City of Vienna using crowd-sourced data. Urban Climate, 32. 

Meier, F., Fenner, D., Grassmann, T., Otto, M., & Scherer, D. (2017). Crowdsourcing air temperature from citizen weather stations for urban climate research. Urban Climate, 19, 170–191. 

Lussana, C., Uboldi, F., & Salvati, M. R. (2010). A spatial consistency test for surface observations from mesoscale meteorological networks. Quarterly Journal of the Royal Meteorological Society, 136(649), 1075–1088. 

Nipen, T. N., Seierstad, I. A., Lussana, C., Kristiansen, J., & Hov, Ø. (2020). Adopting citizen observations in operational weather prediction. Bulletin of the American Meteorological Society, 101(1), E43–E57. 

This list was last updated on 24/08/2021