Updated thoughts to this note
Emailed Mason for potential collaboration.
Update 26th Jan
Potential change to methods is to:
widen the initial search criteria, but to a manageable amount (e.g. WoS search for topic: climate data, title: bias correction = 298 studies)
Inclusion would necessitate a bias correction rather than downscaling (although both together allowed)
Aim is to create a comprehensive summary of bias correction methods and tools applied to climate data. This is a completion of the 'methods taxonomy'
Therefore the info to extract would be: author, method, tool used to apply (eg software etc), citation of method (this most important - the originator paper for the method), any noted advantages/disadvantages, climate model applied to, and key result. All of this should be obtainable from the abstract alone, apart from potentially the tool.
We summarise all methods, referencing the 'originator paper' where possible, and give studies using them as examples of application.
Therefore plan for next week:
[x] See how many abstracts can be processed with the above method in 1hr, then put forward to folks who have previously offered a collaboration if seems feasible.
Previous thoughts:
In order to create the 'methods taxonomy' and ensure we are capturing the widest breadth of methods, a semi-systematic search was undertaken using the methodology recorded here.
Update 20th Mar
Updated thoughts to this note Emailed Mason for potential collaboration.
Update 26th Jan
Potential change to methods is to:
Therefore plan for next week:
Previous thoughts:
In order to create the 'methods taxonomy' and ensure we are capturing the widest breadth of methods, a semi-systematic search was undertaken using the methodology recorded here.
The methods taxonomy itself is here
The paper synthesis is here (this doc is restricted - and rough - please request access)
Tasks to complete this would be:
Once this is done I can finish drafting the paper, and then tasks would be: