Using synthetic observations to inform sampling strategies of ocean physics, biogeochemistry, and biology
- đ¤ Speaker: Cara Nissen, University of Colorado Boulder
- đ Date & Time: Wednesday 10 January 2024, 14:45 - 16:00
- đ Venue: BAS Seminar Room 2; https://ubc.zoom.us/j/63958866441?pwd=bzAyOXZQVTUwbmpUYnhSSjJ6Yk5HZz09
Abstract
Autonomous observing systems, such as profiling Argo floats, have been revolutionizing our understanding of oceanography. Yet, uncertainties remain about whether our current observing system captures the true spatio-temporal variability of physical, biogeochemical, and biological properties, which complicates the detection of long-term trends. Numerical models with synthetic observing systems offer one potential avenue to address these uncertainties. In this talk, I will discuss examples of how such synthetic observing systems are used to inform sampling network design and the interpretation of observational records. In particular, I will present the novel synthetic biogeochemical float capabilities of the Energy Exascale Earth System Model version 2. In different case studies, I will demonstrate the utility of this new tool in addressing existing uncertainties of the current Core, Deep and BGC Argo float networks related to, e.g., sampling density, sampling frequency, and float positioning.
Series This talk is part of the British Antarctic Survey - Polar Oceans seminar series series.
Included in Lists
- All Talks (aka the CURE list)
- BAS Seminar Room 2; https://ubc.zoom.us/j/63958866441?pwd=bzAyOXZQVTUwbmpUYnhSSjJ6Yk5HZz09
- Biology
- British Antarctic Survey
- Cambridge Environment
- Climate Science Seminars within Cambridge
- Featured lists
- Life Sciences
- Life Sciences
- ME Seminar
- my_list
- ob366-ai4er
- other talks
- Queens' College Politics Society
- School of Physical Sciences
- Talks related to atmosphere and ocean dynamics and climate science
Note: Ex-directory lists are not shown.
![[Talks.cam]](/static/images/talkslogosmall.gif)

Cara Nissen, University of Colorado Boulder
Wednesday 10 January 2024, 14:45-16:00