Quality control and bias adjustment of crowdsourced wind speed observations-Reference-Cited by-同舟云学术

Quality control and bias adjustment of crowdsourced wind speed observations

Published:2021-08-18 Issue:740 Volume:147 Page:3647-3664
ISSN:0035-9009
Container-title:Quarterly Journal of the Royal Meteorological Society
language:en
Short-container-title:QJR Meteorol Soc

Author:

Chen Jieyu¹²³^ORCID,Saunders Kate¹⁴⁵,Whan Kirien¹

Affiliation:

1. Weather and Climate Modelling (RDWK) Royal Netherlands Meteorological Institute (KNMI) De Bilt the Netherlands

2. Mathematical Institute Utrecht University Utrecht the Netherlands

3. Chair of Statistics and Econometrics Karlsruhe Institute of Technology Karlsruhe Germany

4. Institute of Applied Mathematics Delft University of Technology Delft the Netherlands

5. School of Mathematical Sciences Queensland University of Technology Brisbane Australia

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.4146

Reference60 articles.

1. CMIP5 ensemble-based spatial rainfall projection over homogeneous zones of India

2. The state of automated amateur weather observations

3. How good are citizen weather stations? Addressing a biased opinion

4. 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

5. Chen J.(2020).Quality control and verification of citizen science wind observations. Master's thesis Utrecht University Netherlands. Available at: https://dspace.library.uu.nl/handle/1874/398742; accessed 18 November 2020.

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