Error estimation of buoy, satellite, and model wave height data

被引：0

作者：

Janssen, Peter A.E.M. ^{[1
]}

Abdalla, Saleh ^{[1
]}

Hersbach, Hans ^{[1
]}

Bidlot, Jean-Raymond ^{[1
]}

机构：

[1] ECMWF, Shinfield Park, Reading RG2 9AX, United Kingdom

来源：

Journal of Atmospheric and Oceanic Technology | 2007年 / 24卷 / 09期

关键词：

Triple collocation is a powerful method to estimate the rms error in each of three collocated datasets; provided the errors are not correlated. Wave height analyses from the operational European Centre for Medium-Range Weather Forecasts (ECMWF) wave forecasting system over a 4-yr period are compared with independent buoy data and dependent European Remote Sensing Satellite-2 (ERS-2) altimeter wave height data; which have been used in the wave analysis. To apply the triple-collocation method; a fourth; independent dataset is obtained from a wave model hindcast without assimilation of altimeter wave observations. The seasonal dependence of the respective errors is discussed and; while in agreement with the properties of the analysis scheme; the wave height analysis is found to have the smallest error. In this comparison the altimeter wave height data have been obtained from an average over N individual observations. By comparing model wave height with the altimeter superobservations for different values of N; alternative estimates of altimeter and model error are obtained. There is only agreement with the estimates from the triple collocation when the correlation between individual altimeter observations is taken into account. The collocation method is also applied to estimate the error in Environmental Satellite (ENVISAT); ERS-2; altimeter; buoy; model first-guess; and analyzed wave heights. It is shown that there is a high correlation between ENVISAT and ERS-2 wave height error; while the quality of ENVISAT altimeter wave height is high. © 2007 American Meteorological Society;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Journal article (JA)

引用

页码：1665 / 1677

共 50 条

[21] Global extreme wave height variability based on satellite data
Izaguirre, Cristina
Mendez, Fernando J.
Menendez, Melisa
Losada, Inigo J.
GEOPHYSICAL RESEARCH LETTERS, 2011, 38
[22] Optimal interpolation of buoy data into a deterministic wind–wave model
S. A. Sannasiraj
M. G. Goldstein
Natural Hazards, 2009, 49 : 261 - 274
[23] Impact of assimilating satellite and in-situ buoy observed significant wave height on a regional wave forecasting system in the Indian Ocean
Seemanth, M.
Remya, P. G.
Kumar, Raj
Chakraborty, Arun
JOURNAL OF EARTH SYSTEM SCIENCE, 2024, 133 (03)
[24] An Experimental Assessment of Extreme Wave Evaluation by Integrating Model and Wave Buoy Data
Reale, Ferdinando
Dentale, Fabio
Furcolo, Pierluigi
Di Leo, Angela
Carratelli, Eugenio Pugliese
WATER, 2020, 12 (04)
[25] Satellite data link buoy for wave-current measurement in very shallow waters
Gualdesi, L.
Guerrini, P.
Conley, D.
OCEANS 2005, VOLS 1-3, 2005, : 1871 - 1875
[26] The validation of HY-2 altimeter measurements of a significant wave height based on buoy data
Wang Jichao
Zhang Jie
Yang Jungang
ACTA OCEANOLOGICA SINICA, 2013, 32 (11) : 87 - 90
[27] The validation of HY-2 altimeter measurements of a significant wave height based on buoy data
Jichao Wang
Jie Zhang
Jungang Yang
Acta Oceanologica Sinica, 2013, 32 : 87 - 90
[28] The validation of HY-2 altimeter measurements of a significant wave height based on buoy data
WANG Jichao
ZHANG Jie
YANG Jungang
ActaOceanologicaSinica, 2013, 32 (11) : 87 - 90
[29] ESTIMATION OF WAVE DIRECTIONAL SPECTRA FROM PITCH-ROLL BUOY DATA
BRISSETTE, FP
TSANIS, IK
JOURNAL OF WATERWAY PORT COASTAL AND OCEAN ENGINEERING-ASCE, 1994, 120 (01): : 93 - 115
[30] Buoy data assimilation to improve wave height assessment in Bay of Bengal during monsoon seasons
Kalyani, M.
Latha, G.
Sannasiraj, S. A.
Venkatesan, R.
INDIAN JOURNAL OF GEO-MARINE SCIENCES, 2017, 46 (06) : 1083 - 1090

← 1 2 3 4 5 →