tag:blogger.com,1999:blog-1261791748350151795.post3483543917754434207..comments2023-10-15T23:14:44.215-07:00Comments on The Science Unicorn: Data and valuesFaith Kearnshttp://www.blogger.com/profile/14318125337357708742noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-1261791748350151795.post-68997632386602784092016-04-08T10:03:30.045-07:002016-04-08T10:03:30.045-07:00Hi Dave, thank you for sharing your perspective. I...Hi Dave, thank you for sharing your perspective. I agree that the mechanics of data collection, management, analysis, etc are important in this discussion. I have also been in positions where I do all of those things and agree 100% with you that it is just not easy. I like your phrase that "detailed data comes at a cost." Sums it up well. Now, I also see the highly political side a lot too, and it's really not easy from that end either. Thanks again.Faith Kearnshttps://www.blogger.com/profile/14318125337357708742noreply@blogger.comtag:blogger.com,1999:blog-1261791748350151795.post-91325457635571685582016-04-07T21:28:08.117-07:002016-04-07T21:28:08.117-07:00Disclaimer: I've had 24 years of field work in...Disclaimer: I've had 24 years of field work in collecting water data.<br /><br />On Fishman's oped piece, I could not agree more. We need more quality water data to better manage what little we have of this valuable resource. Fishman was looking at the issues from a 'top down' approach. <br /><br />About your blog post, you covered the bases well. I spent several moments drilling down in your deep link references. I particularly loved the commentary and the corresponding comments in the OtPR blog.<br /><br />The funny thing in all of this is that nobody addressed the actual mechanics of how to accomplish getting the detailed water data needed.<br /><br />The brutal truth is that water data collection is not easy and there is much support work (site visits, O&M work, Discharge Measurements, verification of collected data, etc) that drives the quality of the collection.<br /><br />The interesting thing with hydrological data collection practices is that we are just beginning to get 'good' at it. In the last 10 years, the quality of the instrumentation and data collection equipment has skyrocketed. I can collect higher time series resolution data and incorporate site Meta Data into the collection. Our tail end analytical software is getting better too.<br /><br />Detailed data comes at a cost. Of course, I'm looking at this from the bottom up.<br /><br />@riverkey2640Davehttps://www.blogger.com/profile/10191098481154581257noreply@blogger.comtag:blogger.com,1999:blog-1261791748350151795.post-41142734157923970222016-04-07T15:48:19.673-07:002016-04-07T15:48:19.673-07:00Great article. I think data can be used to create ...Great article. I think data can be used to create more certainty if metrics are reported referencing the data. For example, Shasta reservoir has over 4,000,000 acre feet of water as of today with a snowpack in its watershed of 95% of normal. Last year it had 2,700,000 acre feet with a snowpack of 5% of normal. Recognizing this data means that farmers relying on this water supply north of the delta are receiving 100% of their water allocation. It might also suggest that urban and environmental water users of this water supply would receive the same. If you look at reservoirs South of the Delta, this story is not as plentiful. <br /><br />Using this data, practical decisions can be made to create certainty of the water supply for different regions. It can also relieve frustration and anxiety provided the data is used objectively and without political purpose.Anonymousnoreply@blogger.com