This page lists the articles, which are under review or have been reviewed. Requests for reviews can be made on the page for new articles.
Every article is reviewed by at least two reviewers. As I am making this first version of the journal by myself the reviews are still mock reviews to get an idea how it will look in future. Feedback on the system is very welcome.
The articles are sorted in the below categories. We list the main articles here and link to a page with a more complete list. The order is not just based on importance, but also aims to represent a broad diversity of approaches. Reading from the top should give newcomers a good idea of the state-of-the-art of the field.
- Under review.
- Validation & uncertainty quantification.
- Homogenisation methods.
- Properties of inhomogeneities.
Shall we also make a category for “newly reviewed articles”? Later we could also make partial reviews for papers producing and analysing homogenised data for the quality of homogenisation. Such reviews could help other future grassroots journals on observational datasets or observed climatic changes in their assessment of these papers. As long as these future journals do not exist yet and we have a backlog of interesting old paper to review I would suggest skipping such papers. Still it may be an idea to have an additional category for data papers which mostly focus on homogenisation.
We are currently reviewing the following articles. Your help is much appreciated.
Domonkos, Peter, 2017: Time series homogenisation with optimal segmentation and ANOVA correction: past, present and future. In the Proceedings of the Ninth seminar for homogenization and quality control in climatological databases and fourth conference on spatial interpolation techniques in climatology and meteorology, Budapest, Hungary, 03 – 07 April 2017, p. 29-45.
Kuglitsch, F. G., R. Auchmann, R. Bleisch, S. Brönnimann, O. Martius, and M. Stewart, 2012: Break detection of annual Swiss temperature series. J. Geophys. Res., 117, D13105, doi: 10.1029/2012JD017729.
Gubler, S., Hunziker, S., Begert, M., Croci-Maspoli, M., Konzelmann, T., Brönnimann, S., Schwierz, C., Oria, C. and Rosas, G., 2017: The influence of station density on climate data homogenization. Int. J. Climatol., 37: 4670–4683. doi: 10.1002/joc.5114.
Hausfather, Z., K. Cowtan, M. J. Menne, and C. N. Williams Jr., 2016: Evaluating the impact of U.S. Historical Climatology Network homogenization using the U.S. Climate Reference Network. Geophys. Res. Lett., 43, 1695–1701, doi: 10.1002/2015GL067640.
Validation & uncertainty quantification
This category is for papers that study how well homogenisation methods work, rank their performance and quantify the uncertainties of homogenised data. This includes papers on comparisons of break detection scores and validation and benchmarking studies. This category focusses on quantification, the methodology category focusses on understanding.
Venema et al., 2012: Benchmarking homogenization algorithms for monthly data. (9)
Kuglitsch et al., 2012: Break detection of annual Swiss temperature series. (7.5)
Paper in the methodology category help us understand how homogenisation methods work. They are often analytical and build the mathematical foundation of homogenisation.
This is the category for papers describing new homogenisation methods.