Top Tweets for #c3sdatarescue
Missed out #ACRE2017 and #c3sdatarescue last year? Fear not! The majority of presentations are now available online: https://t.co/gyPPzNGJu8
ICYMI, here's an article on the #C3SDataRescue and #ACRE2017 #datarescue #climhist meetings happening at @niwa_nz this week https://t.co/DZ3TdRoF24
🤠🤠 <- weather detective emoji! (If you squint we look at bit like Indiana Jones)
A recovery* of data rescuers waiting eagerly to see New Zealand's oldest weather diary @Auckland_Libs! #C3SDataRescue *collective noun tbc
Some good discussion at #c3sdatarescue on making #datarescue a long-term priority, particularly in developing countries. Any ideas?
There are 1000s of met stations across the Pacific Islands - @niwa_nz scientist Alan Porteous explains how we work together with met services to align support for observations with operations, analyses and data stewardship using CLiDEsc #C3SDataRescue @SprepChannel @WMO #RA-V
@lindenashcroft round two at #C3SDataRescue workshop showing UERRA-DARE work on quality control techniques of old meteorological observations - requisite and adaptable approaches @met_acre
#C3Sdatarescue crew - what a lovely workshop here in Auckland on historical climate, old weather data, techniques and tools! @niwa_nz @met_acre
@niwa_nz climate scientist @NFauchereau just gave a golden gift to non-Python specialists in climate science: an executable Jupyter notebook to do synoptic typing- change the domain, number of clusters and presto! Objective Weather types. #C3SDataRescue #ClimatePresentandPast
The excellent #python code from @NFauchereau on climate indices and synoptic types is available at https://t.co/ivid8BNjqg #C3SDataRescue
Simon Parsons shows us how synoptic types can be ascribed using different methods (self organised maps; k-means clustering) and potential sensitivities to identifying types based on location of domain in the mid latitudes #C3Sdatarescue
Lots of different ways to group different synoptic maps together. Doing this with modern data helps understand the weather before weather maps! #C3SDataRescue https://t.co/esrAdvR1Un
Synoptic climatology=the sorting hat, sort of. Trying to group similar weather patterns together! -Simon Parsons @UCNZscience
@CubaRaglanGuy Reanalyses are invaluable tools for climate science.
We need more (and high quality) historical data to push them back in time - @CubaRaglanGuy #C3SDataRescue
@CubaRaglanGuy James Renwick gives us the history of development for reanalyses - lots of problems to surmount with assimilating different data types but a huge range of benefits for climate research #C3SDataRescue #thereanalysisabidesDude
The big names keep on coming! @CubaRaglanGuy provides an overview of reanalysis in climate research at #C3SDataRescue
Are you working on a #datarescue #climhist project this year? Tell us #C3SDataRescue: https://t.co/7w6JSqSCb4 (takes only 2 minutes!)
Regional data workshops has greatly improved global climate data coverage - Manola Brunet @C3ClimateChange #c3sdatarescue #etccdi
Nice talk from Antonia Valente (U Lisbon) on quality control of #datarescue:
-Quality control is being a 'data detective'!
-Important to check quality of metadata as well as obs, e.g. checking that a lat/lon matches altitude
#C3SDataRescue
Important to quality control the metadata - data about data. Data are not useful if you don't know where/how they were taken! #C3SDataRescue
Looking at quality control of historical data at #C3SDataRescue workshop - being a "data detective" sounds much more exciting than "doing quality control"!
And data sharing rears its head again - what are the main barriers to data sharing and how can we encourage it? What is WMO 40 Essential Data? What can we give back in return? #C3SDataRescue
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