Closed gleckler1 closed 6 years ago
@doutriaux1 @covey1 We finally have in-house xmls to work with to advance this: /work/durack1/cmip5/historical/atm/3hr/pr
@doutriaux1, @covey1 Lets meet to discuss how to advance this as it is now a hi priority in our timeline as determined by SFA milestones
@doutriaux1 @covey1 one thing that is going to be a challenge here is that we may find the xmls to be very slow... thats ok, as long as they work.
Peter and Paul,
I'm free to meet with you any time. I could apply the new XMLs to scripts I put on GitHub a while ago--or first get those scripts in synch with my new improved methods. Your choice.
C
-----Original Message----- From: gleckler1 notifications@github.com Reply-To: PCMDI/pcmdi_metrics <reply+012b0bcdb0e5363417993dc56c89ecb20d543df9148a094b92cf0000000113d5e1a8 92a169ce09336cb2@reply.github.com> Date: Wednesday, August 24, 2016 at 3:28 PM To: PCMDI/pcmdi_metrics pcmdi_metrics@noreply.github.com Cc: Curt Covey covey1@llnl.gov, Mention mention@noreply.github.com Subject: Re: [PCMDI/pcmdi_metrics] Implement Covey et al Diurnal cycle metrics (#342)
@doutriaux1 https://github.com/doutriaux1 @covey1 https://github.com/covey1 We finally have in-house xmls to work with to advance this: /work/durack1/cmip5/historical/atm/3hr/pr CD, CV Lets meet to discuss how to advance this as it is now a hi priority in our timeline as determined by SFA milestones � You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/PCMDI/pcmdi_metrics/issues/342#issuecomment-242228446 , or mute the thread https://github.com/notifications/unsubscribe-auth/ASsLzRahL2lLQe3kw1eMMaL jrly4ePAOks5qjMWogaJpZM4IclaT.
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implemented!
One extension planned for the Metrics Package involves data at high time frequency, e.g. 3-hourly data instead of the usual monthly means. CMIP5 includes 23 two-dimensional atmospheric fields sampled every 3 hours. An increasing number of these fields are observed globally by satellites at high space/time resolution, e.g. TRMM precipitation data in the Obs4MIPs database. The attached files provide a starting point for analysis of both the observed and model-simulated diurnal cycle that such data imply: README_diurnal.txt check_calendar.py.txt closest_point.py.txt diurnal_statistics.py.txt getstatsJuly2008.out.txt getstatsJuly2008.outLC.txt getstatsJuly2008.py.txt