From all comments received by the LTER Network Office, this year's meeting in Estes Park was a complete success! The 2015 LTER All Scientists Meeting was held from August 30 through the evening of September 2. The Conference was organized around the theme: " From Long-Term Data to Understanding: Toward a Predictive Ecology". Almost 600 people attended the meeting. There were over 300 poster presentations and more than 75 formal and ad-hoc working group meetings. Drs. James Olds, Diana Wall, Knute Nadelhoffer, Ned Gardener and Christine O'Connell provided excellent plenary presentations to highlight the meeting. Chloe Wardropper (NTL) won 1st place in the student poster competition with Alexandra Conway (BNZ), Shinjini Goswami (HBR), Hafsah Nahrawi (GCE) and Bonnie McGill (KBS) winning runner-up awards.
(60 seconds): NEON’s approach to uncertainty – why do we quantify it? How do we quantify it? How are the end-users aware of NEON’s algorithms and procedures, etc.
1. Web-link: Just make sure it’s visible to the audience and also mention that we do have streaming data at current date, and we will have more in the near future. All information can be found on the website shown here.
2. ATBDs – what is found in them… brief explanation will suffice. If the audience wants more information, they can check out the web-link
(60 seconds) Provide an overview of Note that as a first approach we are considering all input quantities to be independent of one another. However, we are aware that correlations exist, over time, and after the observatory is built, we will spend time tweaking our approach, e.g., we plan to incorporate correlations, components of drift (sensor and DAS), etc.
The main goal of our uncertainty analyses and more importantly, ATBDs, are to provide traceable, standardized approaches while being transparent to the end users (e.g., scientific community, students, politicians). As of current, our approach for quantifying measurement uncertainty comprises analytical derivation.
(60 seconds) Provide an overview of Note that as a first approach we are considering all input quantities to be independent of one another. However, we are aware that correlations exist, over time, and after the observatory is built, we will spend time tweaking our approach, e.g., we plan to incorporate correlations, components of drift (sensor and DAS), etc.
The main goal of our uncertainty analyses and more importantly, ATBDs, are to provide traceable, standardized approaches while being transparent to the end users (e.g., scientific community, students, politicians). As of current, our approach for quantifying measurement uncertainty comprises analytical derivation.