Know the Infrastructure for Climate Data and Services Understand Climate Variability and Change and Apply to Local Services Understand the Basis and Methodologies of CPC Products Use NOAA Climate Products and Tools in Local Climate Services Apply Climate Information to Decision Support, Partnership, and Communication Understand Principles for Conducting Timely, Accurate, and Consistent Climate Data Observations and the Broad Range of Their Applications Operational Climate Services Climate Variability Advanced Climate Variability Sub-Seasonal to Seasonal (S2S) IDSS
PCU 6: Understand Principles for Conducting Timely, Accurate, and Consistent Climate Data Observations and the Broad Range of Their Applications
Producer: Jim Zdrojewski, AFS Climate Services
Training need: NWS field staff is responsible for the collection and quality control of observations that constitute the backbone of the national climate database and climate services. The quality of these observations must be monitored and evaluated in order to provide decision support within the climate and other communities. This is especially important as the NWS continues to ingest observations from not only Federal systems but privately owned observing systems as well. The field staff needs to identify and understand the requirement for sufficient documentation as well as the continuity and quality of the data as it pertains to the usability of the information.
Training objective: NWS field staff will learn the need of accurate, consistent, timely, and quality controlled observational data. They will also learn that the stewardship of this data is important not only for the current users but also for those that will be looking at the archive of the observational record. This will include learning how the observational record fits into the NOAA mission and who the users of the data are.
Specific Job Task Skills and Knowledge:
Please note, updated modules for each instructional component are in development.Instructional Component 6.1: Climate Quality of Weather Data Observations
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