Back to opportunities | Category Index
These are the intended use-case/justification for one or multiple variable groups. Opportunities are linked to relevant experiment groups. Identifying opportunities helps to provide a structure to map variables against requirements. Each opportunity description will convey why this combination of variables and experiments is important and how they contribute to impact.
| Attribute | Value |
|---|---|
| description | This set of variables can be used to identify synoptic systems through standard feature tracking approaches and examine their surface impacts and the cloud radiative effect associated with them, as well as to diagnose Eulerian metrics of storm tracks. The high priority list of variables contains those that are necessary for basic storm tracking algorithms or methods used to identify blocking, MJO, etc, as well as variables used for Eulerian storm track metrics and for quantifying the cloud radiative effects of storms. This high priority list also contains vertically integrated water vapor transports for tracking atmospheric rivers, as well as variables such as high frequency precipitation and temperature to examine the impacts of storms. The medium priority list of variables consist of other high frequency variables on different pressure levels that can be useful for classifying different synoptic systems e.g., identifying monsoon low pressure systems, distinguishing tropical from extra-tropical cyclones, and computing upper level shear. |
| expected_impacts | There are many reasons to examine synoptic systems, their trends, and their impacts. Here are a few: (1) Assessing whether models can reproduce historical storm track trends (https://www.nature.com/articles/s41612-024-00640-2) (2) Diagnosing the origins of solar radiation biases in models (https://journals.ametsoc.org/view/journals/clim/27/1/jcli-d-13-00169.1.xml) (3) Diagnosing how extra-tropical storms are expected to change in the future (https://journals.ametsoc.org/view/journals/clim/26/16/jcli-d-12-00573.1.xml) |
| justification_of_resources | It is essential to assess the dynamics of weather systems in models and assess how these weather systems and impacts are going to change in the future. This work can also yield insights into model fidelity into other atmospheric processes such as clouds and radiation through synoptic storm system composites. |
| lead_theme | Atmosphere |
| minimum_ensemble_size | 3 |
| name | Synoptic systems |
| opportunity_id | 63 |
| data_request_themes | Impacts & Adaptation, Atmosphere |
| experiment_groups | synoptic_systems_and_impacts, scenarios |
| mips | PMIP, DAMIP |
| time_subsets | 80ac3156-a698-11ef-914a-613c0433d878 |
| variable_groups | synoptic_systems_high_priority, synoptic_systems_low_priority |