کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4531785 1626120 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A comparison of the annual cycle of sea level in coastal areas from gridded satellite altimetry and tide gauges
ترجمه فارسی عنوان
مقایسه چرخه سالانه سطح دریا در مناطق ساحلی از ارتفاع سنج ماهواره ای و سنجش ماهواره
کلمات کلیدی
چرخه سالانه، ارتفاع سنجی، منطقه ساحلی، جزر و مد سنج، ناهنجاری سطح دریا
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات زمین شناسی
چکیده انگلیسی


• Validation of gridded altimetry data at annual scales in coastal areas.
• The annual cycle is well represented by the altimeter for 76.4% of the cases.
• Regions where RMSD are larger than 4 cm are related with oceanographic processes.
• Annual cycle in the Southwestern Atlantic coast is well represented by altimetry data.

In this work we compare the annual component of sea level variations derived from 478 worldwide-distributed tide gauges with the annual component computed from a weekly gridded multi-mission altimeter product. Gridded altimetry data products allow for spatio-temporal analyses that are not possible based on along-track altimetry data. However, a precise validation is necessary in the coastal region before the gridded data can be used. Results of the comparisons show that root-mean-square differences (RMSD) between the two datasets are ≤2 cm for 76.4% of the sites. RMSD higher than 4 cm are caused by narrow coastal currents, nearby river outflows or other local phenomena. A methodology is proposed to assess the accuracy of the seasonal component of the gridded altimeter product in regions with a low density net of tide gauges. As a case study it is shown that the Southwestern Atlantic coast is a suitable region to study the spatio-temporal variability of the annual cycle of sea level since RMSD between annual altimetry data and in-situ data are lower than 2.1 cm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Continental Shelf Research - Volume 92, 1 January 2015, Pages 87–97
نویسندگان
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