| dc.contributor.author | Helga S. Huntley | |
| dc.contributor.author | Maristella Berta | |
| dc.contributor.author | Giovanni Esposito | |
| dc.contributor.author | Annalisa Griffa | |
| dc.contributor.author | Baptiste Mourre | |
| dc.contributor.author | Luca Centurioni | |
| dc.date.accessioned | 2023-04-12T18:24:54Z | |
| dc.date.available | 2023-04-12T18:24:54Z | |
| dc.date.copyright | 2022/10/07 | |
| dc.date.issued | 2022 | |
| dc.identifier.other | JTECH-D-21-0161.1.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4289621 | |
| dc.description.abstract | Horizontal velocity gradients of a flow field and the related kinematic properties (KPs) of divergence, vorticity, and strain rate can be estimated from dense drifter deployments, e.g., the spatiotemporal average divergence (and other KPs) over a triangular area defined by three drifters and over a given time interval can be computed from the initial and final areas of said triangle. Unfortunately, this computation can be subject to large errors, especially when the triangle shape is far from equilateral. Therefore, samples with small aspect ratios are generally discarded. Here we derive the thresholds on two shape metrics that optimize the balance between retention of good and removal of bad divergence estimates. The primary tool is a high-resolution regional ocean model simulation, where a baseline for the average divergence can be established, so that actual errors are available. A value of 0.2 for the scaled aspect ratio Λ and a value of 0.86 | |
| dc.publisher | American Meteorological Society | |
| dc.title | Conditions for Reliable Divergence Estimates from Drifter Triplets | |
| dc.type | Journal Paper | |
| dc.journal.volume | 39 | |
| dc.journal.issue | 10 | |
| dc.journal.title | Journal of Atmospheric and Oceanic Technology | |
| dc.identifier.doi | 10.1175/JTECH-D-21-0161.1 | |
| dc.journal.fristpage | 1499 | |
| dc.journal.lastpage | 1523 | |
| dc.page | 1499–1523 | |
| dc.tree | Journal of Atmospheric and Oceanic Technology:;2022:;volume( 039 ):;issue: 010 | |
| dc.contenttype | Fulltext | |