Characterizing Coastal Wind Speed and Significant Wave Height Using Satellite Altimetry and Buoy Data

نویسندگان

چکیده

Wind speed and significant wave height are the most relevant metocean variables that support a wide range of engineering economic activities. Their characterization through remote sensing estimations is required to compensate for shortage in situ observations. This study demonstrates value satellite altimetry identify typical spatial patterns wind northeastern region United States. Data from five missions were evaluated against available observations with 10 km sampling radius 30 min time window. An objective analysis collective altimeter dataset was performed create aggregated composite maps height. asynchronous compositing multi-mission data introduced compile sufficient overpasses over area interest. The results this approach allow quantifying summer winter seasons. quality assessed regarding distance coast topography. It found while highly accurate two variables, bias increases near coast. average minimum maximum values detected buoy stations less than 40 not matched by series. method exposes gaps be filled using future missions. challenges coast, especially semi-enclosed areas, implications due land contamination explained. indicate combination multiple provides complementary information resource nearshore coastal regime estimations.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Classifying and Forecasting Coastal Upwellings in Lake Michigan Using Satellite Derived Temperature Images and Buoy Data

Coastal upwellings are common in the Great Lakes but have lacked enumeration and systematic classification of spatial extent, frequency, duration, and magnitude. Near real-time sea surface temperature (SST) images derived from the Advanced Very High Resolution Radiometer (AVHRR) provide indices of upwelling events, but visual inspection of daily images can be tedious. Moreover, the definition o...

متن کامل

100-Year Return Value Estimates for Ocean Wind Speed and Significant Wave Height from the ERA-40 Data

In this article global estimates of 100-yr return values of wind speed and significant wave height are presented. These estimates are based on the ECMWF 40-yr Re-Analysis (ERA-40) data and are linearly corrected using estimates based on buoy data. This correction is supported by global Topographic Ocean Experiment (TOPEX) altimeter data estimates. The calculation of return values is based on th...

متن کامل

Investigation of Geostrophic and Ekman Surface Current Using Satellite Altimetry Observations and Surface Wind in Persian Gulf and Oman Sea

The rise of satellite altimetry is a revolution in the ocean sciences. Due to its global coverage and its high resolution, altimetry classically outperforms in situ water level measurement. Ekman and geostrophic currents are large parts of the ocean’s current, playing a vital role in global climate variations. According to the classic oceanography, Ekman and geostrophic currents can be calculat...

متن کامل

Accurate Linking of Lake Erie Water Level with Shoreline Datum Using GPS Buoy and Satellite Altimetry

There is a need to accurately link the water level to the shoreline vertical datum for various applications including coastal management, lake/river/estuary/wetland hydrological or storm surge modeling/forecasting. Coastal topography is historically surveyed and referenced to the predetermined vertical datum in terms of orthometric heights, or the heights above the geoid, which is poorly known ...

متن کامل

Validation of Coastal Wind and Wave Fields by High Resolution Satellite Data

methods to derive wind speed and the sea state from Synthetic Aperture Radar (SAR) satellite data are presented and applied for use in high resolution numerical modeling for coastal application. The new radar satellite TerraSAR-X (TS-X) images the sea surface with a high resolution up to 1m. So not only the wind field and integrated sea state parameters but also individual ocean waves with wave...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Remote Sensing

سال: 2023

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs15040987