The self validating sensor rationale definitions and examples

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Step 2 involves applying various adjustments to the data, including bias adjustments, and provides as output the adjusted and unadjusted data on a standard grid.Step 3 involves application of a spatial analysis technique (empirical orthogonal teleconnections, EOTs) to merge and smooth the ocean and land surface temperature fields and provide these merged fields as anomaly fields for ocean, land and global temperatures. Rigorous ORR for each of these steps in the global temperature processing began at NCDC in early 2014. Generic data flow for NCDC/NCEI surface temperature products.Over the next several years, NCDC/NCEI had an incident report conducted to trace these errors and recommend corrective actions.Following those and other recommendations, NCDN/NCEI began to implement new software management and process management procedures, adopting some of the elements of the CDR R2O process.I was dumbstruck that Tom Karl, the NCEI Director in charge of NOAA’s climate data archive, would not follow the policy of his own Agency nor the guidelines in magazine for dataset archival and documentation.I questioned another co-author about why they choose to use a 90% confidence threshold for evaluating the statistical significance of surface temperature trends, instead of the standard for significance of 95% — he also expressed reluctance and did not defend the decision.2015 (hereafter referred to as the Karl study or K15), purporting to show no ‘hiatus’ in global warming in the 2000s (Federal scientists say there never was any global warming “pause”).The study drew criticism from other climate scientists, who disagreed with K15’s conclusion about the ‘hiatus.’ (Making sense of the early-2000s warming slowdown).

The most serious example of a climate scientist not archiving or documenting a critical climate dataset was the study of Tom Karl et al.

There are three steps to the processing, and two of the three steps are done separately for the ocean versus land data.

Step 1 is the compilation of observations either from ocean sources or land stations.

Once the CDR program was funded, beginning in 2007, I was able to put together a team and pursue my goals of operational processing of important climate data records emphasizing the processes required to transition research datasets into operations (known as R2O).

Figure 1 summarizes the steps required to accomplish this transition in the key elements of software code, documentation, and data. Research to operations transition process methodology from Bates et al. Unfortunately, the NCDC/NCEI surface temperature processing group was split on whether to adopt this process, with scientist Dr. Peterson (a co-author on K15, now retired from NOAA) vigorously opposing it.

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