Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean
• Offshore wind energy resource has been estimated using WRF with data assimilation. • The use of advanced 3DVAR assimilation improves the representation of wind field. • Two areas in the West Mediterranean have been selected due to their high potential. • The energy potential has been estimated at...
Ausführliche Beschreibung
Autor*in: |
Ulazia, Alain [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2017 |
---|
Schlagwörter: |
---|
Umfang: |
14 |
---|
Übergeordnetes Werk: |
Enthalten in: Risky business: Psychopathy, framing effects, and financial outcomes - Costello, Thomas H. ELSEVIER, 2018, Amsterdam [u.a.] |
---|---|
Übergeordnetes Werk: |
volume:208 ; year:2017 ; day:15 ; month:12 ; pages:1232-1245 ; extent:14 |
Links: |
---|
DOI / URN: |
10.1016/j.apenergy.2017.09.030 |
---|
Katalog-ID: |
ELV040906922 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV040906922 | ||
003 | DE-627 | ||
005 | 20230624080932.0 | ||
007 | cr uuu---uuuuu | ||
008 | 180725s2017 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.apenergy.2017.09.030 |2 doi | |
028 | 5 | 2 | |a GBV00000000000724.pica |
035 | |a (DE-627)ELV040906922 | ||
035 | |a (ELSEVIER)S0306-2619(17)31314-4 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 150 |a 300 |q VZ |
084 | |a 77.52 |2 bkl | ||
100 | 1 | |a Ulazia, Alain |e verfasserin |4 aut | |
245 | 1 | 0 | |a Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean |
264 | 1 | |c 2017 | |
300 | |a 14 | ||
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a nicht spezifiziert |b z |2 rdamedia | ||
338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
520 | |a • Offshore wind energy resource has been estimated using WRF with data assimilation. • The use of advanced 3DVAR assimilation improves the representation of wind field. • Two areas in the West Mediterranean have been selected due to their high potential. • The energy potential has been estimated at different turbine heights. | ||
650 | 7 | |a Fluid mechanics |2 Elsevier | |
650 | 7 | |a WRFDA |2 Elsevier | |
650 | 7 | |a Mesoscale model |2 Elsevier | |
650 | 7 | |a WRF |2 Elsevier | |
650 | 7 | |a Offshore wind energy potential |2 Elsevier | |
650 | 7 | |a Data assimilation |2 Elsevier | |
700 | 1 | |a Sáenz, Jon |4 oth | |
700 | 1 | |a Ibarra-Berastegui, Gabriel |4 oth | |
700 | 1 | |a González-Rojí, Santos J. |4 oth | |
700 | 1 | |a Carreno-Madinabeitia, Sheila |4 oth | |
773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Costello, Thomas H. ELSEVIER |t Risky business: Psychopathy, framing effects, and financial outcomes |d 2018 |g Amsterdam [u.a.] |w (DE-627)ELV001651005 |
773 | 1 | 8 | |g volume:208 |g year:2017 |g day:15 |g month:12 |g pages:1232-1245 |g extent:14 |
856 | 4 | 0 | |u https://doi.org/10.1016/j.apenergy.2017.09.030 |3 Volltext |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
936 | b | k | |a 77.52 |j Differentielle Psychologie |q VZ |
951 | |a AR | ||
952 | |d 208 |j 2017 |b 15 |c 1215 |h 1232-1245 |g 14 |
author_variant |
a u au |
---|---|
matchkey_str |
ulaziaalainsenzjonibarraberasteguigabrie:2017----:sn3vraasiiainoesrofhrwneegptniltifrntrie |
hierarchy_sort_str |
2017 |
bklnumber |
77.52 |
publishDate |
2017 |
allfields |
10.1016/j.apenergy.2017.09.030 doi GBV00000000000724.pica (DE-627)ELV040906922 (ELSEVIER)S0306-2619(17)31314-4 DE-627 ger DE-627 rakwb eng 150 300 VZ 77.52 bkl Ulazia, Alain verfasserin aut Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean 2017 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Offshore wind energy resource has been estimated using WRF with data assimilation. • The use of advanced 3DVAR assimilation improves the representation of wind field. • Two areas in the West Mediterranean have been selected due to their high potential. • The energy potential has been estimated at different turbine heights. Fluid mechanics Elsevier WRFDA Elsevier Mesoscale model Elsevier WRF Elsevier Offshore wind energy potential Elsevier Data assimilation Elsevier Sáenz, Jon oth Ibarra-Berastegui, Gabriel oth González-Rojí, Santos J. oth Carreno-Madinabeitia, Sheila oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:208 year:2017 day:15 month:12 pages:1232-1245 extent:14 https://doi.org/10.1016/j.apenergy.2017.09.030 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 208 2017 15 1215 1232-1245 14 |
spelling |
10.1016/j.apenergy.2017.09.030 doi GBV00000000000724.pica (DE-627)ELV040906922 (ELSEVIER)S0306-2619(17)31314-4 DE-627 ger DE-627 rakwb eng 150 300 VZ 77.52 bkl Ulazia, Alain verfasserin aut Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean 2017 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Offshore wind energy resource has been estimated using WRF with data assimilation. • The use of advanced 3DVAR assimilation improves the representation of wind field. • Two areas in the West Mediterranean have been selected due to their high potential. • The energy potential has been estimated at different turbine heights. Fluid mechanics Elsevier WRFDA Elsevier Mesoscale model Elsevier WRF Elsevier Offshore wind energy potential Elsevier Data assimilation Elsevier Sáenz, Jon oth Ibarra-Berastegui, Gabriel oth González-Rojí, Santos J. oth Carreno-Madinabeitia, Sheila oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:208 year:2017 day:15 month:12 pages:1232-1245 extent:14 https://doi.org/10.1016/j.apenergy.2017.09.030 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 208 2017 15 1215 1232-1245 14 |
allfields_unstemmed |
10.1016/j.apenergy.2017.09.030 doi GBV00000000000724.pica (DE-627)ELV040906922 (ELSEVIER)S0306-2619(17)31314-4 DE-627 ger DE-627 rakwb eng 150 300 VZ 77.52 bkl Ulazia, Alain verfasserin aut Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean 2017 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Offshore wind energy resource has been estimated using WRF with data assimilation. • The use of advanced 3DVAR assimilation improves the representation of wind field. • Two areas in the West Mediterranean have been selected due to their high potential. • The energy potential has been estimated at different turbine heights. Fluid mechanics Elsevier WRFDA Elsevier Mesoscale model Elsevier WRF Elsevier Offshore wind energy potential Elsevier Data assimilation Elsevier Sáenz, Jon oth Ibarra-Berastegui, Gabriel oth González-Rojí, Santos J. oth Carreno-Madinabeitia, Sheila oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:208 year:2017 day:15 month:12 pages:1232-1245 extent:14 https://doi.org/10.1016/j.apenergy.2017.09.030 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 208 2017 15 1215 1232-1245 14 |
allfieldsGer |
10.1016/j.apenergy.2017.09.030 doi GBV00000000000724.pica (DE-627)ELV040906922 (ELSEVIER)S0306-2619(17)31314-4 DE-627 ger DE-627 rakwb eng 150 300 VZ 77.52 bkl Ulazia, Alain verfasserin aut Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean 2017 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Offshore wind energy resource has been estimated using WRF with data assimilation. • The use of advanced 3DVAR assimilation improves the representation of wind field. • Two areas in the West Mediterranean have been selected due to their high potential. • The energy potential has been estimated at different turbine heights. Fluid mechanics Elsevier WRFDA Elsevier Mesoscale model Elsevier WRF Elsevier Offshore wind energy potential Elsevier Data assimilation Elsevier Sáenz, Jon oth Ibarra-Berastegui, Gabriel oth González-Rojí, Santos J. oth Carreno-Madinabeitia, Sheila oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:208 year:2017 day:15 month:12 pages:1232-1245 extent:14 https://doi.org/10.1016/j.apenergy.2017.09.030 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 208 2017 15 1215 1232-1245 14 |
allfieldsSound |
10.1016/j.apenergy.2017.09.030 doi GBV00000000000724.pica (DE-627)ELV040906922 (ELSEVIER)S0306-2619(17)31314-4 DE-627 ger DE-627 rakwb eng 150 300 VZ 77.52 bkl Ulazia, Alain verfasserin aut Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean 2017 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Offshore wind energy resource has been estimated using WRF with data assimilation. • The use of advanced 3DVAR assimilation improves the representation of wind field. • Two areas in the West Mediterranean have been selected due to their high potential. • The energy potential has been estimated at different turbine heights. Fluid mechanics Elsevier WRFDA Elsevier Mesoscale model Elsevier WRF Elsevier Offshore wind energy potential Elsevier Data assimilation Elsevier Sáenz, Jon oth Ibarra-Berastegui, Gabriel oth González-Rojí, Santos J. oth Carreno-Madinabeitia, Sheila oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:208 year:2017 day:15 month:12 pages:1232-1245 extent:14 https://doi.org/10.1016/j.apenergy.2017.09.030 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 208 2017 15 1215 1232-1245 14 |
language |
English |
source |
Enthalten in Risky business: Psychopathy, framing effects, and financial outcomes Amsterdam [u.a.] volume:208 year:2017 day:15 month:12 pages:1232-1245 extent:14 |
sourceStr |
Enthalten in Risky business: Psychopathy, framing effects, and financial outcomes Amsterdam [u.a.] volume:208 year:2017 day:15 month:12 pages:1232-1245 extent:14 |
format_phy_str_mv |
Article |
bklname |
Differentielle Psychologie |
institution |
findex.gbv.de |
topic_facet |
Fluid mechanics WRFDA Mesoscale model WRF Offshore wind energy potential Data assimilation |
dewey-raw |
150 |
isfreeaccess_bool |
false |
container_title |
Risky business: Psychopathy, framing effects, and financial outcomes |
authorswithroles_txt_mv |
Ulazia, Alain @@aut@@ Sáenz, Jon @@oth@@ Ibarra-Berastegui, Gabriel @@oth@@ González-Rojí, Santos J. @@oth@@ Carreno-Madinabeitia, Sheila @@oth@@ |
publishDateDaySort_date |
2017-01-15T00:00:00Z |
hierarchy_top_id |
ELV001651005 |
dewey-sort |
3150 |
id |
ELV040906922 |
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">ELV040906922</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624080932.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180725s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.apenergy.2017.09.030</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000724.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV040906922</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0306-2619(17)31314-4</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">150</subfield><subfield code="a">300</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">77.52</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ulazia, Alain</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">14</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Offshore wind energy resource has been estimated using WRF with data assimilation. • The use of advanced 3DVAR assimilation improves the representation of wind field. • Two areas in the West Mediterranean have been selected due to their high potential. • The energy potential has been estimated at different turbine heights.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Fluid mechanics</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">WRFDA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Mesoscale model</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">WRF</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Offshore wind energy potential</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data assimilation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sáenz, Jon</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ibarra-Berastegui, Gabriel</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">González-Rojí, Santos J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Carreno-Madinabeitia, Sheila</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Costello, Thomas H. ELSEVIER</subfield><subfield code="t">Risky business: Psychopathy, framing effects, and financial outcomes</subfield><subfield code="d">2018</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV001651005</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:208</subfield><subfield code="g">year:2017</subfield><subfield code="g">day:15</subfield><subfield code="g">month:12</subfield><subfield code="g">pages:1232-1245</subfield><subfield code="g">extent:14</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.apenergy.2017.09.030</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">77.52</subfield><subfield code="j">Differentielle Psychologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">208</subfield><subfield code="j">2017</subfield><subfield code="b">15</subfield><subfield code="c">1215</subfield><subfield code="h">1232-1245</subfield><subfield code="g">14</subfield></datafield></record></collection>
|
author |
Ulazia, Alain |
spellingShingle |
Ulazia, Alain ddc 150 bkl 77.52 Elsevier Fluid mechanics Elsevier WRFDA Elsevier Mesoscale model Elsevier WRF Elsevier Offshore wind energy potential Elsevier Data assimilation Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean |
authorStr |
Ulazia, Alain |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV001651005 |
format |
electronic Article |
dewey-ones |
150 - Psychology 300 - Social sciences |
delete_txt_mv |
keep |
author_role |
aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
150 300 VZ 77.52 bkl Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean Fluid mechanics Elsevier WRFDA Elsevier Mesoscale model Elsevier WRF Elsevier Offshore wind energy potential Elsevier Data assimilation Elsevier |
topic |
ddc 150 bkl 77.52 Elsevier Fluid mechanics Elsevier WRFDA Elsevier Mesoscale model Elsevier WRF Elsevier Offshore wind energy potential Elsevier Data assimilation |
topic_unstemmed |
ddc 150 bkl 77.52 Elsevier Fluid mechanics Elsevier WRFDA Elsevier Mesoscale model Elsevier WRF Elsevier Offshore wind energy potential Elsevier Data assimilation |
topic_browse |
ddc 150 bkl 77.52 Elsevier Fluid mechanics Elsevier WRFDA Elsevier Mesoscale model Elsevier WRF Elsevier Offshore wind energy potential Elsevier Data assimilation |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
author2_variant |
j s js g i b gib s j g r sjg sjgr s c m scm |
hierarchy_parent_title |
Risky business: Psychopathy, framing effects, and financial outcomes |
hierarchy_parent_id |
ELV001651005 |
dewey-tens |
150 - Psychology 300 - Social sciences, sociology & anthropology |
hierarchy_top_title |
Risky business: Psychopathy, framing effects, and financial outcomes |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)ELV001651005 |
title |
Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean |
ctrlnum |
(DE-627)ELV040906922 (ELSEVIER)S0306-2619(17)31314-4 |
title_full |
Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean |
author_sort |
Ulazia, Alain |
journal |
Risky business: Psychopathy, framing effects, and financial outcomes |
journalStr |
Risky business: Psychopathy, framing effects, and financial outcomes |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
100 - Philosophy & psychology 300 - Social sciences |
recordtype |
marc |
publishDateSort |
2017 |
contenttype_str_mv |
zzz |
container_start_page |
1232 |
author_browse |
Ulazia, Alain |
container_volume |
208 |
physical |
14 |
class |
150 300 VZ 77.52 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Ulazia, Alain |
doi_str_mv |
10.1016/j.apenergy.2017.09.030 |
dewey-full |
150 300 |
title_sort |
using 3dvar data assimilation to measure offshore wind energy potential at different turbine heights in the west mediterranean |
title_auth |
Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean |
abstract |
• Offshore wind energy resource has been estimated using WRF with data assimilation. • The use of advanced 3DVAR assimilation improves the representation of wind field. • Two areas in the West Mediterranean have been selected due to their high potential. • The energy potential has been estimated at different turbine heights. |
abstractGer |
• Offshore wind energy resource has been estimated using WRF with data assimilation. • The use of advanced 3DVAR assimilation improves the representation of wind field. • Two areas in the West Mediterranean have been selected due to their high potential. • The energy potential has been estimated at different turbine heights. |
abstract_unstemmed |
• Offshore wind energy resource has been estimated using WRF with data assimilation. • The use of advanced 3DVAR assimilation improves the representation of wind field. • Two areas in the West Mediterranean have been selected due to their high potential. • The energy potential has been estimated at different turbine heights. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
title_short |
Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean |
url |
https://doi.org/10.1016/j.apenergy.2017.09.030 |
remote_bool |
true |
author2 |
Sáenz, Jon Ibarra-Berastegui, Gabriel González-Rojí, Santos J. Carreno-Madinabeitia, Sheila |
author2Str |
Sáenz, Jon Ibarra-Berastegui, Gabriel González-Rojí, Santos J. Carreno-Madinabeitia, Sheila |
ppnlink |
ELV001651005 |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth oth oth |
doi_str |
10.1016/j.apenergy.2017.09.030 |
up_date |
2024-07-06T18:42:30.362Z |
_version_ |
1803856222999281664 |
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">ELV040906922</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624080932.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180725s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.apenergy.2017.09.030</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000724.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV040906922</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0306-2619(17)31314-4</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">150</subfield><subfield code="a">300</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">77.52</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ulazia, Alain</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">14</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Offshore wind energy resource has been estimated using WRF with data assimilation. • The use of advanced 3DVAR assimilation improves the representation of wind field. • Two areas in the West Mediterranean have been selected due to their high potential. • The energy potential has been estimated at different turbine heights.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Fluid mechanics</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">WRFDA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Mesoscale model</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">WRF</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Offshore wind energy potential</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data assimilation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sáenz, Jon</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ibarra-Berastegui, Gabriel</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">González-Rojí, Santos J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Carreno-Madinabeitia, Sheila</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Costello, Thomas H. ELSEVIER</subfield><subfield code="t">Risky business: Psychopathy, framing effects, and financial outcomes</subfield><subfield code="d">2018</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV001651005</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:208</subfield><subfield code="g">year:2017</subfield><subfield code="g">day:15</subfield><subfield code="g">month:12</subfield><subfield code="g">pages:1232-1245</subfield><subfield code="g">extent:14</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.apenergy.2017.09.030</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">77.52</subfield><subfield code="j">Differentielle Psychologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">208</subfield><subfield code="j">2017</subfield><subfield code="b">15</subfield><subfield code="c">1215</subfield><subfield code="h">1232-1245</subfield><subfield code="g">14</subfield></datafield></record></collection>
|
score |
7.3977413 |