کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6388004 1627749 2016 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Thirty-four years of Hawaii wave hindcast from downscaling of climate forecast system reanalysis
ترجمه فارسی عنوان
سی و چهار سال حوادث ناشی از کاهش مجدد سیستم پیش بینی هوا پیش بینی شده است
کلمات کلیدی
متورم شدن امواج باد، عقب نشینی موج، پناهگاه جزیره، الگوهای موج طیفی، مدل آب و هوا و پیش بینی،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علم هواشناسی
چکیده انگلیسی
The complex wave climate of Hawaii includes a mix of seasonal swells and wind waves from all directions across the Pacific. Numerical hindcasting from surface winds provides essential space-time information to complement buoy and satellite observations for studies of the marine environment. We utilize WAVEWATCH III and SWAN (Simulating WAves Nearshore) in a nested grid system to model basin-wide processes as well as high-resolution wave conditions around the Hawaiian Islands from 1979 to 2013. The wind forcing includes the Climate Forecast System Reanalysis (CFSR) for the globe and downscaled regional winds from the Weather Research and Forecasting (WRF) model. Long-term in-situ buoy measurements and remotely-sensed wind speeds and wave heights allow thorough assessment of the modeling approach and data products for practical application. The high-resolution WRF winds, which include orographic and land-surface effects, are validated with QuickSCAT observations from 2000 to 2009. The wave hindcast reproduces the spatial patterns of swell and wind wave events detected by altimeters on multiple platforms between 1991 and 2009 as well as the seasonal variations recorded at 16 offshore and nearshore buoys around the Hawaiian Islands from 1979 to 2013. The hindcast captures heightened seas in interisland channels and around prominent headlands, but tends to overestimate the heights of approaching northwest swells and give lower estimates in sheltered areas. The validated high-resolution hindcast sets a baseline for future improvement of spectral wave models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ocean Modelling - Volume 100, April 2016, Pages 78-95
نویسندگان
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