FN Archimer Export Format
PT J
TI Sea state trends and variability: consistency between models, altimeters, buoys, and seismic data (1979‐2016)
BT 
AF Stopa, Justin
   ARDHUIN, Fabrice
   Stutzmann, Eleonore
   Lecocq, Thomas
AS 1:1,2;2:5;3:3;4:4;
FF 1:PDG-ODE-LOPS-SIAM;2:;3:;4:;
C1 Department of Ocean Resources and Engineering, School of Ocean and Earth Science and TechnologyUniversity of Hawaii at Manoa Honolulu, USA
   Univ. Brest, CNRS, IRD, Ifremer, Laboratoire d'Océanographie Physique et Spatiale (LOPS), IUEM Brest ,France
   Institut de Physique du Globe de Paris, CNRS‐UMR7480 Paris ,France
   Seismology‐Gravimetry, Royal Observatory of Belgium, Belgium
   Univ. Brest, CNRS, IRD, Ifremer, Laboratoire d'Océanographie Physique et Spatiale (LOPS), IUEM Brest ,France
C2 UNIV HAWAII MANOA, USA
   IFREMER, FRANCE
   IPGP, FRANCE
   ASTRO, BELGIUM
   CNRS, FRANCE
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer UMR
   WOS Cotutelle UMR
   copubli-france
   copubli-europe
   copubli-int-hors-europe
IF 3.559
TC 27
UR https://archimer.ifremer.fr/doc/00490/60181/63522.pdf
LA English
DT Article
DE ;wave hindcasting;COWCLIP;seismic noise;long-term trends;Climate Forecast System Reanalysis;data homogeneity
AB Wave hindcasts of long time series (> 30 years) have been instrumental in understanding the wave climate. However it is still difficult to have a consistent reanalysis suitable for study of trends and inter‐annual variability. Here we explore the consistency of a wave hindcast with independent observations from moored buoys, satellite altimeters, and seismic data. We use the Climate Forecast System Reanalysis (CFSR) winds to drive a wave model since extreme events are generally well captured. Unfortunately the original CFSR winds are not homogeneous in time. We systematically modify this wind field in time and space to produce a wave field that has homogeneous differences against the Globwave/SeaStateCCI altimeter wave height database. These corrections to the winds and resulting waves are validated using independent buoy and microseism data. We particularly use seismic data in the dominant double‐frequency band, around 5 s period, that are generated by opposing waves of equal frequencies. The seismic data confirms that our correction of time‐varying biases is consistent, even in remote and under‐sampled region such as the Southern Ocean where the original CFSR biases are strongest. Our analysis is performed on monthly time series and we expect the monthly statistics to be better suited for climate studies. Remaining issues with time consistency of reanalysis products and associated wave hindcasts are further discussed. 
PY 2019
PD JUL
SO Journal Of Geophysical Research-oceans
SN 2169-9275
PU American Geophysical Union (AGU)
VL 124
IS 6
UT 000477722200025
BP 3923
EP 3940
DI 10.1029/2018JC014607
ID 60181
ER

EF