Loading…
Data assimilation and bathymetric inversion in a two-dimensional horizontal surf zone model
A methodology is described for assimilating observations in a steady state two‐dimensional horizontal (2‐DH) model of nearshore hydrodynamics (waves and currents), using an ensemble‐based statistical estimator. In this application, we treat bathymetry as a model parameter, which is subject to a spec...
Saved in:
Published in: | Journal of Geophysical Research: Oceans 2010-12, Vol.115 (C12), p.n/a |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-a4697-b402eecd5b49c6c29f78cf7d53dffa465f86896a5362004f481fc7c4bb5d984b3 |
---|---|
cites | cdi_FETCH-LOGICAL-a4697-b402eecd5b49c6c29f78cf7d53dffa465f86896a5362004f481fc7c4bb5d984b3 |
container_end_page | n/a |
container_issue | C12 |
container_start_page | |
container_title | Journal of Geophysical Research: Oceans |
container_volume | 115 |
creator | Wilson, G. W. Özkan-Haller, H. T. Holman, R. A. |
description | A methodology is described for assimilating observations in a steady state two‐dimensional horizontal (2‐DH) model of nearshore hydrodynamics (waves and currents), using an ensemble‐based statistical estimator. In this application, we treat bathymetry as a model parameter, which is subject to a specified prior uncertainty. The statistical estimator uses state augmentation to produce posterior (inverse, updated) estimates of bathymetry, wave height, and currents, as well as their posterior uncertainties. A case study is presented, using data from a 2‐D array of in situ sensors on a natural beach (Duck, NC). The prior bathymetry is obtained by interpolation from recent bathymetric surveys; however, the resulting prior circulation is not in agreement with measurements. After assimilating data (significant wave height and alongshore current), the accuracy of modeled fields is improved, and this is quantified by comparing with observations (both assimilated and unassimilated). Hence, for the present data, 2‐DH bathymetric uncertainty is an important source of error in the model and can be quantified and corrected using data assimilation. Here the bathymetric uncertainty is ascribed to inadequate temporal sampling; bathymetric surveys were conducted on a daily basis, but bathymetric change occurred on hourly timescales during storms, such that hydrodynamic model skill was significantly degraded. Further tests are performed to analyze the model sensitivities used in the assimilation and to determine the influence of different observation types and sampling schemes. |
doi_str_mv | 10.1029/2010JC006286 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1919960728</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2678456633</sourcerecordid><originalsourceid>FETCH-LOGICAL-a4697-b402eecd5b49c6c29f78cf7d53dffa465f86896a5362004f481fc7c4bb5d984b3</originalsourceid><addsrcrecordid>eNp9kE9LAzEQxYMoWNSbH2BBBA-uJtls_hyl2qqUCqJU8BCy2QSjuxtNtmr99Ka0iHhwLjNkfu8xeQDsI3iCIBanGCJ4PYSQYk43wACjkuYYQ7wJBhARnkOM2TbYi_EZpiIlJRANwOO56lWmYnSta1TvfJeprs4q1T8tWtMHpzPXvZsQlxuXlln_4fPataZbPqkme_LBffmuT2OcB5ul2WStr02zC7asaqLZW_cdcD-6uBte5pOb8dXwbJIrQgXLKwKxMbouKyI01VhYxrVldVnU1iaktJxyQVVZUJwOt4Qjq5kmVVXWgpOq2AFHK9_X4N_mJvaydVGbplGd8fMokUBCUMgwT-jBH_TZz0P6RpSYMp5SoUWRqOMVpYOPMRgrX4NrVVhIBOUybPk77IQfrk1V1KqxQXXaxR8NLjgmlLLEFSvuwzVm8a-nvB7fDhFiZKnKVyoXe_P5o1LhRSZPVsrZdCxn9GE0mc6ofCi-AVBHnEM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2678456633</pqid></control><display><type>article</type><title>Data assimilation and bathymetric inversion in a two-dimensional horizontal surf zone model</title><source>Wiley-Blackwell Read & Publish Collection</source><source>Wiley-Blackwell AGU Digital Archive</source><creator>Wilson, G. W. ; Özkan-Haller, H. T. ; Holman, R. A.</creator><creatorcontrib>Wilson, G. W. ; Özkan-Haller, H. T. ; Holman, R. A.</creatorcontrib><description>A methodology is described for assimilating observations in a steady state two‐dimensional horizontal (2‐DH) model of nearshore hydrodynamics (waves and currents), using an ensemble‐based statistical estimator. In this application, we treat bathymetry as a model parameter, which is subject to a specified prior uncertainty. The statistical estimator uses state augmentation to produce posterior (inverse, updated) estimates of bathymetry, wave height, and currents, as well as their posterior uncertainties. A case study is presented, using data from a 2‐D array of in situ sensors on a natural beach (Duck, NC). The prior bathymetry is obtained by interpolation from recent bathymetric surveys; however, the resulting prior circulation is not in agreement with measurements. After assimilating data (significant wave height and alongshore current), the accuracy of modeled fields is improved, and this is quantified by comparing with observations (both assimilated and unassimilated). Hence, for the present data, 2‐DH bathymetric uncertainty is an important source of error in the model and can be quantified and corrected using data assimilation. Here the bathymetric uncertainty is ascribed to inadequate temporal sampling; bathymetric surveys were conducted on a daily basis, but bathymetric change occurred on hourly timescales during storms, such that hydrodynamic model skill was significantly degraded. Further tests are performed to analyze the model sensitivities used in the assimilation and to determine the influence of different observation types and sampling schemes.</description><identifier>ISSN: 0148-0227</identifier><identifier>ISSN: 2169-9275</identifier><identifier>EISSN: 2156-2202</identifier><identifier>EISSN: 2169-9291</identifier><identifier>DOI: 10.1029/2010JC006286</identifier><language>eng</language><publisher>Washington, DC: Blackwell Publishing Ltd</publisher><subject>Aquatic birds ; Bathymeters ; Bathymetric surveys ; Bathymetry ; Data assimilation ; Data collection ; Earth sciences ; Earth, ocean, space ; Error correction ; Exact sciences and technology ; Geophysics ; Hydrodynamic models ; Hydrodynamics ; Interpolation ; Marine ; Model accuracy ; Modelling ; nearshore oceanography ; Sampling ; Significant wave height ; Statistics ; Storms ; Surf zone ; Surveys ; Uncertainty ; Water currents ; Waterfowl ; Wave height</subject><ispartof>Journal of Geophysical Research: Oceans, 2010-12, Vol.115 (C12), p.n/a</ispartof><rights>Copyright 2010 by the American Geophysical Union.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Blackwell Publishing Ltd. Dec 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a4697-b402eecd5b49c6c29f78cf7d53dffa465f86896a5362004f481fc7c4bb5d984b3</citedby><cites>FETCH-LOGICAL-a4697-b402eecd5b49c6c29f78cf7d53dffa465f86896a5362004f481fc7c4bb5d984b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2010JC006286$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2010JC006286$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,11514,27924,27925,46468,46892</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23824667$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Wilson, G. W.</creatorcontrib><creatorcontrib>Özkan-Haller, H. T.</creatorcontrib><creatorcontrib>Holman, R. A.</creatorcontrib><title>Data assimilation and bathymetric inversion in a two-dimensional horizontal surf zone model</title><title>Journal of Geophysical Research: Oceans</title><addtitle>J. Geophys. Res</addtitle><description>A methodology is described for assimilating observations in a steady state two‐dimensional horizontal (2‐DH) model of nearshore hydrodynamics (waves and currents), using an ensemble‐based statistical estimator. In this application, we treat bathymetry as a model parameter, which is subject to a specified prior uncertainty. The statistical estimator uses state augmentation to produce posterior (inverse, updated) estimates of bathymetry, wave height, and currents, as well as their posterior uncertainties. A case study is presented, using data from a 2‐D array of in situ sensors on a natural beach (Duck, NC). The prior bathymetry is obtained by interpolation from recent bathymetric surveys; however, the resulting prior circulation is not in agreement with measurements. After assimilating data (significant wave height and alongshore current), the accuracy of modeled fields is improved, and this is quantified by comparing with observations (both assimilated and unassimilated). Hence, for the present data, 2‐DH bathymetric uncertainty is an important source of error in the model and can be quantified and corrected using data assimilation. Here the bathymetric uncertainty is ascribed to inadequate temporal sampling; bathymetric surveys were conducted on a daily basis, but bathymetric change occurred on hourly timescales during storms, such that hydrodynamic model skill was significantly degraded. Further tests are performed to analyze the model sensitivities used in the assimilation and to determine the influence of different observation types and sampling schemes.</description><subject>Aquatic birds</subject><subject>Bathymeters</subject><subject>Bathymetric surveys</subject><subject>Bathymetry</subject><subject>Data assimilation</subject><subject>Data collection</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Error correction</subject><subject>Exact sciences and technology</subject><subject>Geophysics</subject><subject>Hydrodynamic models</subject><subject>Hydrodynamics</subject><subject>Interpolation</subject><subject>Marine</subject><subject>Model accuracy</subject><subject>Modelling</subject><subject>nearshore oceanography</subject><subject>Sampling</subject><subject>Significant wave height</subject><subject>Statistics</subject><subject>Storms</subject><subject>Surf zone</subject><subject>Surveys</subject><subject>Uncertainty</subject><subject>Water currents</subject><subject>Waterfowl</subject><subject>Wave height</subject><issn>0148-0227</issn><issn>2169-9275</issn><issn>2156-2202</issn><issn>2169-9291</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LAzEQxYMoWNSbH2BBBA-uJtls_hyl2qqUCqJU8BCy2QSjuxtNtmr99Ka0iHhwLjNkfu8xeQDsI3iCIBanGCJ4PYSQYk43wACjkuYYQ7wJBhARnkOM2TbYi_EZpiIlJRANwOO56lWmYnSta1TvfJeprs4q1T8tWtMHpzPXvZsQlxuXlln_4fPataZbPqkme_LBffmuT2OcB5ul2WStr02zC7asaqLZW_cdcD-6uBte5pOb8dXwbJIrQgXLKwKxMbouKyI01VhYxrVldVnU1iaktJxyQVVZUJwOt4Qjq5kmVVXWgpOq2AFHK9_X4N_mJvaydVGbplGd8fMokUBCUMgwT-jBH_TZz0P6RpSYMp5SoUWRqOMVpYOPMRgrX4NrVVhIBOUybPk77IQfrk1V1KqxQXXaxR8NLjgmlLLEFSvuwzVm8a-nvB7fDhFiZKnKVyoXe_P5o1LhRSZPVsrZdCxn9GE0mc6ofCi-AVBHnEM</recordid><startdate>201012</startdate><enddate>201012</enddate><creator>Wilson, G. W.</creator><creator>Özkan-Haller, H. T.</creator><creator>Holman, R. A.</creator><general>Blackwell Publishing Ltd</general><general>American Geophysical Union</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>201012</creationdate><title>Data assimilation and bathymetric inversion in a two-dimensional horizontal surf zone model</title><author>Wilson, G. W. ; Özkan-Haller, H. T. ; Holman, R. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a4697-b402eecd5b49c6c29f78cf7d53dffa465f86896a5362004f481fc7c4bb5d984b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Aquatic birds</topic><topic>Bathymeters</topic><topic>Bathymetric surveys</topic><topic>Bathymetry</topic><topic>Data assimilation</topic><topic>Data collection</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Error correction</topic><topic>Exact sciences and technology</topic><topic>Geophysics</topic><topic>Hydrodynamic models</topic><topic>Hydrodynamics</topic><topic>Interpolation</topic><topic>Marine</topic><topic>Model accuracy</topic><topic>Modelling</topic><topic>nearshore oceanography</topic><topic>Sampling</topic><topic>Significant wave height</topic><topic>Statistics</topic><topic>Storms</topic><topic>Surf zone</topic><topic>Surveys</topic><topic>Uncertainty</topic><topic>Water currents</topic><topic>Waterfowl</topic><topic>Wave height</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wilson, G. W.</creatorcontrib><creatorcontrib>Özkan-Haller, H. T.</creatorcontrib><creatorcontrib>Holman, R. A.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of Geophysical Research: Oceans</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wilson, G. W.</au><au>Özkan-Haller, H. T.</au><au>Holman, R. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Data assimilation and bathymetric inversion in a two-dimensional horizontal surf zone model</atitle><jtitle>Journal of Geophysical Research: Oceans</jtitle><addtitle>J. Geophys. Res</addtitle><date>2010-12</date><risdate>2010</risdate><volume>115</volume><issue>C12</issue><epage>n/a</epage><issn>0148-0227</issn><issn>2169-9275</issn><eissn>2156-2202</eissn><eissn>2169-9291</eissn><abstract>A methodology is described for assimilating observations in a steady state two‐dimensional horizontal (2‐DH) model of nearshore hydrodynamics (waves and currents), using an ensemble‐based statistical estimator. In this application, we treat bathymetry as a model parameter, which is subject to a specified prior uncertainty. The statistical estimator uses state augmentation to produce posterior (inverse, updated) estimates of bathymetry, wave height, and currents, as well as their posterior uncertainties. A case study is presented, using data from a 2‐D array of in situ sensors on a natural beach (Duck, NC). The prior bathymetry is obtained by interpolation from recent bathymetric surveys; however, the resulting prior circulation is not in agreement with measurements. After assimilating data (significant wave height and alongshore current), the accuracy of modeled fields is improved, and this is quantified by comparing with observations (both assimilated and unassimilated). Hence, for the present data, 2‐DH bathymetric uncertainty is an important source of error in the model and can be quantified and corrected using data assimilation. Here the bathymetric uncertainty is ascribed to inadequate temporal sampling; bathymetric surveys were conducted on a daily basis, but bathymetric change occurred on hourly timescales during storms, such that hydrodynamic model skill was significantly degraded. Further tests are performed to analyze the model sensitivities used in the assimilation and to determine the influence of different observation types and sampling schemes.</abstract><cop>Washington, DC</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2010JC006286</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0148-0227 |
ispartof | Journal of Geophysical Research: Oceans, 2010-12, Vol.115 (C12), p.n/a |
issn | 0148-0227 2169-9275 2156-2202 2169-9291 |
language | eng |
recordid | cdi_proquest_miscellaneous_1919960728 |
source | Wiley-Blackwell Read & Publish Collection; Wiley-Blackwell AGU Digital Archive |
subjects | Aquatic birds Bathymeters Bathymetric surveys Bathymetry Data assimilation Data collection Earth sciences Earth, ocean, space Error correction Exact sciences and technology Geophysics Hydrodynamic models Hydrodynamics Interpolation Marine Model accuracy Modelling nearshore oceanography Sampling Significant wave height Statistics Storms Surf zone Surveys Uncertainty Water currents Waterfowl Wave height |
title | Data assimilation and bathymetric inversion in a two-dimensional horizontal surf zone model |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T18%3A27%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Data%20assimilation%20and%20bathymetric%20inversion%20in%20a%20two-dimensional%20horizontal%20surf%20zone%20model&rft.jtitle=Journal%20of%20Geophysical%20Research:%20Oceans&rft.au=Wilson,%20G.%20W.&rft.date=2010-12&rft.volume=115&rft.issue=C12&rft.epage=n/a&rft.issn=0148-0227&rft.eissn=2156-2202&rft_id=info:doi/10.1029/2010JC006286&rft_dat=%3Cproquest_cross%3E2678456633%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a4697-b402eecd5b49c6c29f78cf7d53dffa465f86896a5362004f481fc7c4bb5d984b3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2678456633&rft_id=info:pmid/&rfr_iscdi=true |