Increasingly important role of numerical modeling in oceanic observation design strategy: A review

Abstract Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Zhang, Kun [verfasserIn] Mu, Mu [verfasserIn] Wang, Qiang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Observation design Numerical modeling Targeted observation CNOP

Übergeordnetes Werk:	Enthalten in: Science in China - Heidelberg : Springer, 1997, 63(2020), 11 vom: 09. Okt., Seite 1678-1690
Übergeordnetes Werk:	volume:63 ; year:2020 ; number:11 ; day:09 ; month:10 ; pages:1678-1690

Links:	Volltext

DOI / URN:	10.1007/s11430-020-9674-6

Katalog-ID:	SPR041678362

Internformat


LEADER	01000caa a22002652 4500
001	SPR041678362
003	DE-627
005	20220111065324.0
007	cr uuu---uuuuu
008	201102s2020 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1007/s11430-020-9674-6 \|2 doi
035			\|a (DE-627)SPR041678362
035			\|a (SPR)s11430-020-9674-6-e
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
082	0	4	\|a 550 \|q ASE
084			\|a 38.00 \|2 bkl
100	1		\|a Zhang, Kun \|e verfasserin \|4 aut
245	1	0	\|a Increasingly important role of numerical modeling in oceanic observation design strategy: A review
264		1	\|c 2020
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Abstract Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic observation design studies, we present the advantages of the model-based observation design strategy and further review its decisive contribution. To demonstrate the effectiveness of this strategy, the targeted observation applications using the conditional nonlinear optimal perturbation (CNOP) approach for improving the Kuroshio predictions are introduced. Finally, the authors present their consideration for correcting model errors by targeted observations of sensitive model parameters and mitigating the model-dependency problem by utilizing multiple modeling systems. Suggestions on using observing system simulation experiments to validate the designed observations and extending the model-based observation design strategy into observing oceanic climatological mean states are also discussed.
650		4	\|a Observation design \|7 (dpeaa)DE-He213
650		4	\|a Numerical modeling \|7 (dpeaa)DE-He213
650		4	\|a Targeted observation \|7 (dpeaa)DE-He213
650		4	\|a CNOP \|7 (dpeaa)DE-He213
700	1		\|a Mu, Mu \|e verfasserin \|4 aut
700	1		\|a Wang, Qiang \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Science in China \|d Heidelberg : Springer, 1997 \|g 63(2020), 11 vom: 09. Okt., Seite 1678-1690 \|w (DE-627)385614748 \|w (DE-600)2142896-7 \|x 1862-2801 \|7 nnns
773	1	8	\|g volume:63 \|g year:2020 \|g number:11 \|g day:09 \|g month:10 \|g pages:1678-1690
856	4	0	\|u https://dx.doi.org/10.1007/s11430-020-9674-6 \|z lizenzpflichtig \|3 Volltext
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_SPRINGER
912			\|a SSG-OPC-GGO
912			\|a SSG-OPC-ASE
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_32
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_120
912			\|a GBV_ILN_138
912			\|a GBV_ILN_152
912			\|a GBV_ILN_161
912			\|a GBV_ILN_171
912			\|a GBV_ILN_187
912			\|a GBV_ILN_224
912			\|a GBV_ILN_250
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
936	b	k	\|a 38.00 \|q ASE
951			\|a AR
952			\|d 63 \|j 2020 \|e 11 \|b 09 \|c 10 \|h 1678-1690

Indexfelder

author_variant	k z kz m m mm q w qw
matchkey_str	article:18622801:2020----::nraigymotnrlonmrcloeigncaiosrai
hierarchy_sort_str	2020
bklnumber	38.00
publishDate	2020
allfields	10.1007/s11430-020-9674-6 doi (DE-627)SPR041678362 (SPR)s11430-020-9674-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.00 bkl Zhang, Kun verfasserin aut Increasingly important role of numerical modeling in oceanic observation design strategy: A review 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic observation design studies, we present the advantages of the model-based observation design strategy and further review its decisive contribution. To demonstrate the effectiveness of this strategy, the targeted observation applications using the conditional nonlinear optimal perturbation (CNOP) approach for improving the Kuroshio predictions are introduced. Finally, the authors present their consideration for correcting model errors by targeted observations of sensitive model parameters and mitigating the model-dependency problem by utilizing multiple modeling systems. Suggestions on using observing system simulation experiments to validate the designed observations and extending the model-based observation design strategy into observing oceanic climatological mean states are also discussed. Observation design (dpeaa)DE-He213 Numerical modeling (dpeaa)DE-He213 Targeted observation (dpeaa)DE-He213 CNOP (dpeaa)DE-He213 Mu, Mu verfasserin aut Wang, Qiang verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 63(2020), 11 vom: 09. Okt., Seite 1678-1690 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:63 year:2020 number:11 day:09 month:10 pages:1678-1690 https://dx.doi.org/10.1007/s11430-020-9674-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 38.00 ASE AR 63 2020 11 09 10 1678-1690
spelling	10.1007/s11430-020-9674-6 doi (DE-627)SPR041678362 (SPR)s11430-020-9674-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.00 bkl Zhang, Kun verfasserin aut Increasingly important role of numerical modeling in oceanic observation design strategy: A review 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic observation design studies, we present the advantages of the model-based observation design strategy and further review its decisive contribution. To demonstrate the effectiveness of this strategy, the targeted observation applications using the conditional nonlinear optimal perturbation (CNOP) approach for improving the Kuroshio predictions are introduced. Finally, the authors present their consideration for correcting model errors by targeted observations of sensitive model parameters and mitigating the model-dependency problem by utilizing multiple modeling systems. Suggestions on using observing system simulation experiments to validate the designed observations and extending the model-based observation design strategy into observing oceanic climatological mean states are also discussed. Observation design (dpeaa)DE-He213 Numerical modeling (dpeaa)DE-He213 Targeted observation (dpeaa)DE-He213 CNOP (dpeaa)DE-He213 Mu, Mu verfasserin aut Wang, Qiang verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 63(2020), 11 vom: 09. Okt., Seite 1678-1690 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:63 year:2020 number:11 day:09 month:10 pages:1678-1690 https://dx.doi.org/10.1007/s11430-020-9674-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 38.00 ASE AR 63 2020 11 09 10 1678-1690
allfields_unstemmed	10.1007/s11430-020-9674-6 doi (DE-627)SPR041678362 (SPR)s11430-020-9674-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.00 bkl Zhang, Kun verfasserin aut Increasingly important role of numerical modeling in oceanic observation design strategy: A review 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic observation design studies, we present the advantages of the model-based observation design strategy and further review its decisive contribution. To demonstrate the effectiveness of this strategy, the targeted observation applications using the conditional nonlinear optimal perturbation (CNOP) approach for improving the Kuroshio predictions are introduced. Finally, the authors present their consideration for correcting model errors by targeted observations of sensitive model parameters and mitigating the model-dependency problem by utilizing multiple modeling systems. Suggestions on using observing system simulation experiments to validate the designed observations and extending the model-based observation design strategy into observing oceanic climatological mean states are also discussed. Observation design (dpeaa)DE-He213 Numerical modeling (dpeaa)DE-He213 Targeted observation (dpeaa)DE-He213 CNOP (dpeaa)DE-He213 Mu, Mu verfasserin aut Wang, Qiang verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 63(2020), 11 vom: 09. Okt., Seite 1678-1690 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:63 year:2020 number:11 day:09 month:10 pages:1678-1690 https://dx.doi.org/10.1007/s11430-020-9674-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 38.00 ASE AR 63 2020 11 09 10 1678-1690
allfieldsGer	10.1007/s11430-020-9674-6 doi (DE-627)SPR041678362 (SPR)s11430-020-9674-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.00 bkl Zhang, Kun verfasserin aut Increasingly important role of numerical modeling in oceanic observation design strategy: A review 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic observation design studies, we present the advantages of the model-based observation design strategy and further review its decisive contribution. To demonstrate the effectiveness of this strategy, the targeted observation applications using the conditional nonlinear optimal perturbation (CNOP) approach for improving the Kuroshio predictions are introduced. Finally, the authors present their consideration for correcting model errors by targeted observations of sensitive model parameters and mitigating the model-dependency problem by utilizing multiple modeling systems. Suggestions on using observing system simulation experiments to validate the designed observations and extending the model-based observation design strategy into observing oceanic climatological mean states are also discussed. Observation design (dpeaa)DE-He213 Numerical modeling (dpeaa)DE-He213 Targeted observation (dpeaa)DE-He213 CNOP (dpeaa)DE-He213 Mu, Mu verfasserin aut Wang, Qiang verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 63(2020), 11 vom: 09. Okt., Seite 1678-1690 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:63 year:2020 number:11 day:09 month:10 pages:1678-1690 https://dx.doi.org/10.1007/s11430-020-9674-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 38.00 ASE AR 63 2020 11 09 10 1678-1690
allfieldsSound	10.1007/s11430-020-9674-6 doi (DE-627)SPR041678362 (SPR)s11430-020-9674-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.00 bkl Zhang, Kun verfasserin aut Increasingly important role of numerical modeling in oceanic observation design strategy: A review 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic observation design studies, we present the advantages of the model-based observation design strategy and further review its decisive contribution. To demonstrate the effectiveness of this strategy, the targeted observation applications using the conditional nonlinear optimal perturbation (CNOP) approach for improving the Kuroshio predictions are introduced. Finally, the authors present their consideration for correcting model errors by targeted observations of sensitive model parameters and mitigating the model-dependency problem by utilizing multiple modeling systems. Suggestions on using observing system simulation experiments to validate the designed observations and extending the model-based observation design strategy into observing oceanic climatological mean states are also discussed. Observation design (dpeaa)DE-He213 Numerical modeling (dpeaa)DE-He213 Targeted observation (dpeaa)DE-He213 CNOP (dpeaa)DE-He213 Mu, Mu verfasserin aut Wang, Qiang verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 63(2020), 11 vom: 09. Okt., Seite 1678-1690 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:63 year:2020 number:11 day:09 month:10 pages:1678-1690 https://dx.doi.org/10.1007/s11430-020-9674-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 38.00 ASE AR 63 2020 11 09 10 1678-1690
language	English
source	Enthalten in Science in China 63(2020), 11 vom: 09. Okt., Seite 1678-1690 volume:63 year:2020 number:11 day:09 month:10 pages:1678-1690
sourceStr	Enthalten in Science in China 63(2020), 11 vom: 09. Okt., Seite 1678-1690 volume:63 year:2020 number:11 day:09 month:10 pages:1678-1690
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Observation design Numerical modeling Targeted observation CNOP
dewey-raw	550
isfreeaccess_bool	false
container_title	Science in China
authorswithroles_txt_mv	Zhang, Kun @@aut@@ Mu, Mu @@aut@@ Wang, Qiang @@aut@@
publishDateDaySort_date	2020-10-09T00:00:00Z
hierarchy_top_id	385614748
dewey-sort	3550
id	SPR041678362
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR041678362</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220111065324.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201102s2020 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11430-020-9674-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR041678362</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11430-020-9674-6-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Kun</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Increasingly important role of numerical modeling in oceanic observation design strategy: A review</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic observation design studies, we present the advantages of the model-based observation design strategy and further review its decisive contribution. To demonstrate the effectiveness of this strategy, the targeted observation applications using the conditional nonlinear optimal perturbation (CNOP) approach for improving the Kuroshio predictions are introduced. Finally, the authors present their consideration for correcting model errors by targeted observations of sensitive model parameters and mitigating the model-dependency problem by utilizing multiple modeling systems. Suggestions on using observing system simulation experiments to validate the designed observations and extending the model-based observation design strategy into observing oceanic climatological mean states are also discussed.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Observation design</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Numerical modeling</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Targeted observation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">CNOP</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mu, Mu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Qiang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Science in China</subfield><subfield code="d">Heidelberg : Springer, 1997</subfield><subfield code="g">63(2020), 11 vom: 09. Okt., Seite 1678-1690</subfield><subfield code="w">(DE-627)385614748</subfield><subfield code="w">(DE-600)2142896-7</subfield><subfield code="x">1862-2801</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:63</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:11</subfield><subfield code="g">day:09</subfield><subfield code="g">month:10</subfield><subfield code="g">pages:1678-1690</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s11430-020-9674-6</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-ASE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">38.00</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">63</subfield><subfield code="j">2020</subfield><subfield code="e">11</subfield><subfield code="b">09</subfield><subfield code="c">10</subfield><subfield code="h">1678-1690</subfield></datafield></record></collection>
author	Zhang, Kun
spellingShingle	Zhang, Kun ddc 550 bkl 38.00 misc Observation design misc Numerical modeling misc Targeted observation misc CNOP Increasingly important role of numerical modeling in oceanic observation design strategy: A review
authorStr	Zhang, Kun
ppnlink_with_tag_str_mv	@@773@@(DE-627)385614748
format	electronic Article
dewey-ones	550 - Earth sciences
delete_txt_mv	keep
author_role	aut aut aut
collection	springer
remote_str	true
illustrated	Not Illustrated
issn	1862-2801
topic_title	550 ASE 38.00 bkl Increasingly important role of numerical modeling in oceanic observation design strategy: A review Observation design (dpeaa)DE-He213 Numerical modeling (dpeaa)DE-He213 Targeted observation (dpeaa)DE-He213 CNOP (dpeaa)DE-He213
topic	ddc 550 bkl 38.00 misc Observation design misc Numerical modeling misc Targeted observation misc CNOP
topic_unstemmed	ddc 550 bkl 38.00 misc Observation design misc Numerical modeling misc Targeted observation misc CNOP
topic_browse	ddc 550 bkl 38.00 misc Observation design misc Numerical modeling misc Targeted observation misc CNOP
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Science in China
hierarchy_parent_id	385614748
dewey-tens	550 - Earth sciences & geology
hierarchy_top_title	Science in China
isfreeaccess_txt	false
familylinks_str_mv	(DE-627)385614748 (DE-600)2142896-7
title	Increasingly important role of numerical modeling in oceanic observation design strategy: A review
ctrlnum	(DE-627)SPR041678362 (SPR)s11430-020-9674-6-e
title_full	Increasingly important role of numerical modeling in oceanic observation design strategy: A review
author_sort	Zhang, Kun
journal	Science in China
journalStr	Science in China
lang_code	eng
isOA_bool	false
dewey-hundreds	500 - Science
recordtype	marc
publishDateSort	2020
contenttype_str_mv	txt
container_start_page	1678
author_browse	Zhang, Kun Mu, Mu Wang, Qiang
container_volume	63
class	550 ASE 38.00 bkl
format_se	Elektronische Aufsätze
author-letter	Zhang, Kun
doi_str_mv	10.1007/s11430-020-9674-6
dewey-full	550
author2-role	verfasserin
title_sort	increasingly important role of numerical modeling in oceanic observation design strategy: a review
title_auth	Increasingly important role of numerical modeling in oceanic observation design strategy: A review
abstract	Abstract Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic observation design studies, we present the advantages of the model-based observation design strategy and further review its decisive contribution. To demonstrate the effectiveness of this strategy, the targeted observation applications using the conditional nonlinear optimal perturbation (CNOP) approach for improving the Kuroshio predictions are introduced. Finally, the authors present their consideration for correcting model errors by targeted observations of sensitive model parameters and mitigating the model-dependency problem by utilizing multiple modeling systems. Suggestions on using observing system simulation experiments to validate the designed observations and extending the model-based observation design strategy into observing oceanic climatological mean states are also discussed.
abstractGer	Abstract Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic observation design studies, we present the advantages of the model-based observation design strategy and further review its decisive contribution. To demonstrate the effectiveness of this strategy, the targeted observation applications using the conditional nonlinear optimal perturbation (CNOP) approach for improving the Kuroshio predictions are introduced. Finally, the authors present their consideration for correcting model errors by targeted observations of sensitive model parameters and mitigating the model-dependency problem by utilizing multiple modeling systems. Suggestions on using observing system simulation experiments to validate the designed observations and extending the model-based observation design strategy into observing oceanic climatological mean states are also discussed.
abstract_unstemmed	Abstract Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic observation design studies, we present the advantages of the model-based observation design strategy and further review its decisive contribution. To demonstrate the effectiveness of this strategy, the targeted observation applications using the conditional nonlinear optimal perturbation (CNOP) approach for improving the Kuroshio predictions are introduced. Finally, the authors present their consideration for correcting model errors by targeted observations of sensitive model parameters and mitigating the model-dependency problem by utilizing multiple modeling systems. Suggestions on using observing system simulation experiments to validate the designed observations and extending the model-based observation design strategy into observing oceanic climatological mean states are also discussed.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702
container_issue	11
title_short	Increasingly important role of numerical modeling in oceanic observation design strategy: A review
url	https://dx.doi.org/10.1007/s11430-020-9674-6
remote_bool	true
author2	Mu, Mu Wang, Qiang
author2Str	Mu, Mu Wang, Qiang
ppnlink	385614748
mediatype_str_mv	c
isOA_txt	false
hochschulschrift_bool	false
doi_str	10.1007/s11430-020-9674-6
up_date	2024-07-03T23:09:56.627Z
_version_	1803601257827401728
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR041678362</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220111065324.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201102s2020 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11430-020-9674-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR041678362</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11430-020-9674-6-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Kun</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Increasingly important role of numerical modeling in oceanic observation design strategy: A review</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic observation design studies, we present the advantages of the model-based observation design strategy and further review its decisive contribution. To demonstrate the effectiveness of this strategy, the targeted observation applications using the conditional nonlinear optimal perturbation (CNOP) approach for improving the Kuroshio predictions are introduced. Finally, the authors present their consideration for correcting model errors by targeted observations of sensitive model parameters and mitigating the model-dependency problem by utilizing multiple modeling systems. Suggestions on using observing system simulation experiments to validate the designed observations and extending the model-based observation design strategy into observing oceanic climatological mean states are also discussed.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Observation design</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Numerical modeling</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Targeted observation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">CNOP</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mu, Mu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Qiang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Science in China</subfield><subfield code="d">Heidelberg : Springer, 1997</subfield><subfield code="g">63(2020), 11 vom: 09. Okt., Seite 1678-1690</subfield><subfield code="w">(DE-627)385614748</subfield><subfield code="w">(DE-600)2142896-7</subfield><subfield code="x">1862-2801</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:63</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:11</subfield><subfield code="g">day:09</subfield><subfield code="g">month:10</subfield><subfield code="g">pages:1678-1690</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s11430-020-9674-6</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-ASE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">38.00</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">63</subfield><subfield code="j">2020</subfield><subfield code="e">11</subfield><subfield code="b">09</subfield><subfield code="c">10</subfield><subfield code="h">1678-1690</subfield></datafield></record></collection>
score	7.3992615

Nicht das Richtige dabei?

Schreiben Sie uns!

Increasingly important role of numerical modeling in oceanic observation design strategy: A review

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?