“Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage
Summary Following a recent approach of Fox-Rabinovitz an iterative Matsuno or a “Super-Matsuno” style scheme is applied as a filter in the Eta Model. In contrast to Fox-Rabinovitz, we however apply the scheme not for all of the model’s time-differencing but for its adjustment terms only. These dist...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2000 |
|---|
| Umfang: |
10 |
|---|
| Reproduktion: |
Springer Online Journal Archives 1860-2002 |
|---|---|
| Übergeordnetes Werk: |
in: Meteorology and atmospheric physics - 1948, 75(2000) vom: Jan./Feb., Seite 121-130 |
| Übergeordnetes Werk: |
volume:75 ; year:2000 ; month:01/02 ; pages:121-130 ; extent:10 |
| Links: |
|---|
| Katalog-ID: |
NLEJ208196137 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLEJ208196137 | ||
| 003 | DE-627 | ||
| 005 | 20210707010547.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 070528s2000 xx |||||o 00| ||eng c | ||
| 035 | |a (DE-627)NLEJ208196137 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 245 | 1 | 0 | |a “Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage |
| 264 | 1 | |c 2000 | |
| 300 | |a 10 | ||
| 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 Summary Following a recent approach of Fox-Rabinovitz an iterative Matsuno or a “Super-Matsuno” style scheme is applied as a filter in the Eta Model. In contrast to Fox-Rabinovitz, we however apply the scheme not for all of the model’s time-differencing but for its adjustment terms only. These distinctions compared to the original Fox-Rabinovitz’-method are made easy to implement by the split time differencing approach of the Eta, and at the same time would appear clearly appropriate for the “initialization” purpose. In addition, while Fox-Rabinovitz emphasizes the use of the method within a long time-scale data assimilation framework, we are focusing on the impact of the method in a short-range forecasting environment/time-scale. After a short one hour “initialization” procedure is completed, standard model integration is continued, now very much free of noise. The Super-Matsuno style scheme is found to balance initially unbalanced external and internal modes and to significantly reduce the high-frequency noise during the first 6 time steps. In a control case noise also reduces in amplitude as integration proceeds, but at a much slower rate. The model integration results with and without “initialization” after 6 hours are however very similar. Even so, it is to be expected that small differences, given that they have resulted from the removal of spurious initial noise, have to be beneficial. | ||
| 533 | |f Springer Online Journal Archives 1860-2002 | ||
| 700 | 1 | |a Lazić, Lazar |4 oth | |
| 773 | 0 | 8 | |i in |t Meteorology and atmospheric physics |d 1948 |g 75(2000) vom: Jan./Feb., Seite 121-130 |w (DE-627)NLEJ188994297 |w (DE-600)1462145-9 |x 1436-5065 |7 nnns |
| 773 | 1 | 8 | |g volume:75 |g year:2000 |g month:01/02 |g pages:121-130 |g extent:10 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1007/s007030070019 |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a ZDB-1-SOJ | ||
| 912 | |a GBV_NL_ARTICLE | ||
| 951 | |a AR | ||
| 952 | |d 75 |j 2000 |c 1/2 |h 121-130 |g 10 | ||
| matchkey_str |
article:14365065:2000----::ntaiainsnaieaieasnsyeceenhea |
|---|---|
| hierarchy_sort_str |
2000 |
| publishDate |
2000 |
| allfields |
(DE-627)NLEJ208196137 DE-627 ger DE-627 rakwb eng “Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage 2000 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Summary Following a recent approach of Fox-Rabinovitz an iterative Matsuno or a “Super-Matsuno” style scheme is applied as a filter in the Eta Model. In contrast to Fox-Rabinovitz, we however apply the scheme not for all of the model’s time-differencing but for its adjustment terms only. These distinctions compared to the original Fox-Rabinovitz’-method are made easy to implement by the split time differencing approach of the Eta, and at the same time would appear clearly appropriate for the “initialization” purpose. In addition, while Fox-Rabinovitz emphasizes the use of the method within a long time-scale data assimilation framework, we are focusing on the impact of the method in a short-range forecasting environment/time-scale. After a short one hour “initialization” procedure is completed, standard model integration is continued, now very much free of noise. The Super-Matsuno style scheme is found to balance initially unbalanced external and internal modes and to significantly reduce the high-frequency noise during the first 6 time steps. In a control case noise also reduces in amplitude as integration proceeds, but at a much slower rate. The model integration results with and without “initialization” after 6 hours are however very similar. Even so, it is to be expected that small differences, given that they have resulted from the removal of spurious initial noise, have to be beneficial. Springer Online Journal Archives 1860-2002 Lazić, Lazar oth in Meteorology and atmospheric physics 1948 75(2000) vom: Jan./Feb., Seite 121-130 (DE-627)NLEJ188994297 (DE-600)1462145-9 1436-5065 nnns volume:75 year:2000 month:01/02 pages:121-130 extent:10 http://dx.doi.org/10.1007/s007030070019 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 75 2000 1/2 121-130 10 |
| spelling |
(DE-627)NLEJ208196137 DE-627 ger DE-627 rakwb eng “Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage 2000 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Summary Following a recent approach of Fox-Rabinovitz an iterative Matsuno or a “Super-Matsuno” style scheme is applied as a filter in the Eta Model. In contrast to Fox-Rabinovitz, we however apply the scheme not for all of the model’s time-differencing but for its adjustment terms only. These distinctions compared to the original Fox-Rabinovitz’-method are made easy to implement by the split time differencing approach of the Eta, and at the same time would appear clearly appropriate for the “initialization” purpose. In addition, while Fox-Rabinovitz emphasizes the use of the method within a long time-scale data assimilation framework, we are focusing on the impact of the method in a short-range forecasting environment/time-scale. After a short one hour “initialization” procedure is completed, standard model integration is continued, now very much free of noise. The Super-Matsuno style scheme is found to balance initially unbalanced external and internal modes and to significantly reduce the high-frequency noise during the first 6 time steps. In a control case noise also reduces in amplitude as integration proceeds, but at a much slower rate. The model integration results with and without “initialization” after 6 hours are however very similar. Even so, it is to be expected that small differences, given that they have resulted from the removal of spurious initial noise, have to be beneficial. Springer Online Journal Archives 1860-2002 Lazić, Lazar oth in Meteorology and atmospheric physics 1948 75(2000) vom: Jan./Feb., Seite 121-130 (DE-627)NLEJ188994297 (DE-600)1462145-9 1436-5065 nnns volume:75 year:2000 month:01/02 pages:121-130 extent:10 http://dx.doi.org/10.1007/s007030070019 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 75 2000 1/2 121-130 10 |
| allfields_unstemmed |
(DE-627)NLEJ208196137 DE-627 ger DE-627 rakwb eng “Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage 2000 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Summary Following a recent approach of Fox-Rabinovitz an iterative Matsuno or a “Super-Matsuno” style scheme is applied as a filter in the Eta Model. In contrast to Fox-Rabinovitz, we however apply the scheme not for all of the model’s time-differencing but for its adjustment terms only. These distinctions compared to the original Fox-Rabinovitz’-method are made easy to implement by the split time differencing approach of the Eta, and at the same time would appear clearly appropriate for the “initialization” purpose. In addition, while Fox-Rabinovitz emphasizes the use of the method within a long time-scale data assimilation framework, we are focusing on the impact of the method in a short-range forecasting environment/time-scale. After a short one hour “initialization” procedure is completed, standard model integration is continued, now very much free of noise. The Super-Matsuno style scheme is found to balance initially unbalanced external and internal modes and to significantly reduce the high-frequency noise during the first 6 time steps. In a control case noise also reduces in amplitude as integration proceeds, but at a much slower rate. The model integration results with and without “initialization” after 6 hours are however very similar. Even so, it is to be expected that small differences, given that they have resulted from the removal of spurious initial noise, have to be beneficial. Springer Online Journal Archives 1860-2002 Lazić, Lazar oth in Meteorology and atmospheric physics 1948 75(2000) vom: Jan./Feb., Seite 121-130 (DE-627)NLEJ188994297 (DE-600)1462145-9 1436-5065 nnns volume:75 year:2000 month:01/02 pages:121-130 extent:10 http://dx.doi.org/10.1007/s007030070019 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 75 2000 1/2 121-130 10 |
| allfieldsGer |
(DE-627)NLEJ208196137 DE-627 ger DE-627 rakwb eng “Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage 2000 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Summary Following a recent approach of Fox-Rabinovitz an iterative Matsuno or a “Super-Matsuno” style scheme is applied as a filter in the Eta Model. In contrast to Fox-Rabinovitz, we however apply the scheme not for all of the model’s time-differencing but for its adjustment terms only. These distinctions compared to the original Fox-Rabinovitz’-method are made easy to implement by the split time differencing approach of the Eta, and at the same time would appear clearly appropriate for the “initialization” purpose. In addition, while Fox-Rabinovitz emphasizes the use of the method within a long time-scale data assimilation framework, we are focusing on the impact of the method in a short-range forecasting environment/time-scale. After a short one hour “initialization” procedure is completed, standard model integration is continued, now very much free of noise. The Super-Matsuno style scheme is found to balance initially unbalanced external and internal modes and to significantly reduce the high-frequency noise during the first 6 time steps. In a control case noise also reduces in amplitude as integration proceeds, but at a much slower rate. The model integration results with and without “initialization” after 6 hours are however very similar. Even so, it is to be expected that small differences, given that they have resulted from the removal of spurious initial noise, have to be beneficial. Springer Online Journal Archives 1860-2002 Lazić, Lazar oth in Meteorology and atmospheric physics 1948 75(2000) vom: Jan./Feb., Seite 121-130 (DE-627)NLEJ188994297 (DE-600)1462145-9 1436-5065 nnns volume:75 year:2000 month:01/02 pages:121-130 extent:10 http://dx.doi.org/10.1007/s007030070019 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 75 2000 1/2 121-130 10 |
| allfieldsSound |
(DE-627)NLEJ208196137 DE-627 ger DE-627 rakwb eng “Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage 2000 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Summary Following a recent approach of Fox-Rabinovitz an iterative Matsuno or a “Super-Matsuno” style scheme is applied as a filter in the Eta Model. In contrast to Fox-Rabinovitz, we however apply the scheme not for all of the model’s time-differencing but for its adjustment terms only. These distinctions compared to the original Fox-Rabinovitz’-method are made easy to implement by the split time differencing approach of the Eta, and at the same time would appear clearly appropriate for the “initialization” purpose. In addition, while Fox-Rabinovitz emphasizes the use of the method within a long time-scale data assimilation framework, we are focusing on the impact of the method in a short-range forecasting environment/time-scale. After a short one hour “initialization” procedure is completed, standard model integration is continued, now very much free of noise. The Super-Matsuno style scheme is found to balance initially unbalanced external and internal modes and to significantly reduce the high-frequency noise during the first 6 time steps. In a control case noise also reduces in amplitude as integration proceeds, but at a much slower rate. The model integration results with and without “initialization” after 6 hours are however very similar. Even so, it is to be expected that small differences, given that they have resulted from the removal of spurious initial noise, have to be beneficial. Springer Online Journal Archives 1860-2002 Lazić, Lazar oth in Meteorology and atmospheric physics 1948 75(2000) vom: Jan./Feb., Seite 121-130 (DE-627)NLEJ188994297 (DE-600)1462145-9 1436-5065 nnns volume:75 year:2000 month:01/02 pages:121-130 extent:10 http://dx.doi.org/10.1007/s007030070019 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 75 2000 1/2 121-130 10 |
| language |
English |
| source |
in Meteorology and atmospheric physics 75(2000) vom: Jan./Feb., Seite 121-130 volume:75 year:2000 month:01/02 pages:121-130 extent:10 |
| sourceStr |
in Meteorology and atmospheric physics 75(2000) vom: Jan./Feb., Seite 121-130 volume:75 year:2000 month:01/02 pages:121-130 extent:10 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| isfreeaccess_bool |
false |
| container_title |
Meteorology and atmospheric physics |
| authorswithroles_txt_mv |
Lazić, Lazar @@oth@@ |
| publishDateDaySort_date |
2000-01-01T00:00:00Z |
| hierarchy_top_id |
NLEJ188994297 |
| id |
NLEJ208196137 |
| 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">NLEJ208196137</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210707010547.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">070528s2000 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ208196137</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="245" ind1="1" ind2="0"><subfield code="a">“Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2000</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">10</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">Summary Following a recent approach of Fox-Rabinovitz an iterative Matsuno or a “Super-Matsuno” style scheme is applied as a filter in the Eta Model. In contrast to Fox-Rabinovitz, we however apply the scheme not for all of the model’s time-differencing but for its adjustment terms only. These distinctions compared to the original Fox-Rabinovitz’-method are made easy to implement by the split time differencing approach of the Eta, and at the same time would appear clearly appropriate for the “initialization” purpose. In addition, while Fox-Rabinovitz emphasizes the use of the method within a long time-scale data assimilation framework, we are focusing on the impact of the method in a short-range forecasting environment/time-scale. After a short one hour “initialization” procedure is completed, standard model integration is continued, now very much free of noise. The Super-Matsuno style scheme is found to balance initially unbalanced external and internal modes and to significantly reduce the high-frequency noise during the first 6 time steps. In a control case noise also reduces in amplitude as integration proceeds, but at a much slower rate. The model integration results with and without “initialization” after 6 hours are however very similar. Even so, it is to be expected that small differences, given that they have resulted from the removal of spurious initial noise, have to be beneficial.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Springer Online Journal Archives 1860-2002</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lazić, Lazar</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">in</subfield><subfield code="t">Meteorology and atmospheric physics</subfield><subfield code="d">1948</subfield><subfield code="g">75(2000) vom: Jan./Feb., Seite 121-130</subfield><subfield code="w">(DE-627)NLEJ188994297</subfield><subfield code="w">(DE-600)1462145-9</subfield><subfield code="x">1436-5065</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:75</subfield><subfield code="g">year:2000</subfield><subfield code="g">month:01/02</subfield><subfield code="g">pages:121-130</subfield><subfield code="g">extent:10</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1007/s007030070019</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-SOJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">75</subfield><subfield code="j">2000</subfield><subfield code="c">1/2</subfield><subfield code="h">121-130</subfield><subfield code="g">10</subfield></datafield></record></collection>
|
| series2 |
Springer Online Journal Archives 1860-2002 |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)NLEJ188994297 |
| format |
electronic Article |
| delete_txt_mv |
keep |
| collection |
NL |
| remote_str |
true |
| illustrated |
Not Illustrated |
| issn |
1436-5065 |
| topic_title |
“Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
l l ll |
| hierarchy_parent_title |
Meteorology and atmospheric physics |
| hierarchy_parent_id |
NLEJ188994297 |
| hierarchy_top_title |
Meteorology and atmospheric physics |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)NLEJ188994297 (DE-600)1462145-9 |
| title |
“Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage |
| spellingShingle |
“Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage |
| ctrlnum |
(DE-627)NLEJ208196137 |
| title_full |
“Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage |
| journal |
Meteorology and atmospheric physics |
| journalStr |
Meteorology and atmospheric physics |
| lang_code |
eng |
| isOA_bool |
false |
| recordtype |
marc |
| publishDateSort |
2000 |
| contenttype_str_mv |
zzz |
| container_start_page |
121 |
| container_volume |
75 |
| physical |
10 |
| format_se |
Elektronische Aufsätze |
| title_sort |
“initialization” using an iterative matsuno style scheme in the eta model adjustment stage |
| title_auth |
“Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage |
| abstract |
Summary Following a recent approach of Fox-Rabinovitz an iterative Matsuno or a “Super-Matsuno” style scheme is applied as a filter in the Eta Model. In contrast to Fox-Rabinovitz, we however apply the scheme not for all of the model’s time-differencing but for its adjustment terms only. These distinctions compared to the original Fox-Rabinovitz’-method are made easy to implement by the split time differencing approach of the Eta, and at the same time would appear clearly appropriate for the “initialization” purpose. In addition, while Fox-Rabinovitz emphasizes the use of the method within a long time-scale data assimilation framework, we are focusing on the impact of the method in a short-range forecasting environment/time-scale. After a short one hour “initialization” procedure is completed, standard model integration is continued, now very much free of noise. The Super-Matsuno style scheme is found to balance initially unbalanced external and internal modes and to significantly reduce the high-frequency noise during the first 6 time steps. In a control case noise also reduces in amplitude as integration proceeds, but at a much slower rate. The model integration results with and without “initialization” after 6 hours are however very similar. Even so, it is to be expected that small differences, given that they have resulted from the removal of spurious initial noise, have to be beneficial. |
| abstractGer |
Summary Following a recent approach of Fox-Rabinovitz an iterative Matsuno or a “Super-Matsuno” style scheme is applied as a filter in the Eta Model. In contrast to Fox-Rabinovitz, we however apply the scheme not for all of the model’s time-differencing but for its adjustment terms only. These distinctions compared to the original Fox-Rabinovitz’-method are made easy to implement by the split time differencing approach of the Eta, and at the same time would appear clearly appropriate for the “initialization” purpose. In addition, while Fox-Rabinovitz emphasizes the use of the method within a long time-scale data assimilation framework, we are focusing on the impact of the method in a short-range forecasting environment/time-scale. After a short one hour “initialization” procedure is completed, standard model integration is continued, now very much free of noise. The Super-Matsuno style scheme is found to balance initially unbalanced external and internal modes and to significantly reduce the high-frequency noise during the first 6 time steps. In a control case noise also reduces in amplitude as integration proceeds, but at a much slower rate. The model integration results with and without “initialization” after 6 hours are however very similar. Even so, it is to be expected that small differences, given that they have resulted from the removal of spurious initial noise, have to be beneficial. |
| abstract_unstemmed |
Summary Following a recent approach of Fox-Rabinovitz an iterative Matsuno or a “Super-Matsuno” style scheme is applied as a filter in the Eta Model. In contrast to Fox-Rabinovitz, we however apply the scheme not for all of the model’s time-differencing but for its adjustment terms only. These distinctions compared to the original Fox-Rabinovitz’-method are made easy to implement by the split time differencing approach of the Eta, and at the same time would appear clearly appropriate for the “initialization” purpose. In addition, while Fox-Rabinovitz emphasizes the use of the method within a long time-scale data assimilation framework, we are focusing on the impact of the method in a short-range forecasting environment/time-scale. After a short one hour “initialization” procedure is completed, standard model integration is continued, now very much free of noise. The Super-Matsuno style scheme is found to balance initially unbalanced external and internal modes and to significantly reduce the high-frequency noise during the first 6 time steps. In a control case noise also reduces in amplitude as integration proceeds, but at a much slower rate. The model integration results with and without “initialization” after 6 hours are however very similar. Even so, it is to be expected that small differences, given that they have resulted from the removal of spurious initial noise, have to be beneficial. |
| collection_details |
GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE |
| title_short |
“Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage |
| url |
http://dx.doi.org/10.1007/s007030070019 |
| remote_bool |
true |
| author2 |
Lazić, Lazar |
| author2Str |
Lazić, Lazar |
| ppnlink |
NLEJ188994297 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth |
| up_date |
2024-07-06T11:30:46.161Z |
| _version_ |
1803829060474765312 |
| 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">NLEJ208196137</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210707010547.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">070528s2000 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ208196137</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="245" ind1="1" ind2="0"><subfield code="a">“Initialization” using an iterative Matsuno style scheme in the Eta Model adjustment stage</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2000</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">10</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">Summary Following a recent approach of Fox-Rabinovitz an iterative Matsuno or a “Super-Matsuno” style scheme is applied as a filter in the Eta Model. In contrast to Fox-Rabinovitz, we however apply the scheme not for all of the model’s time-differencing but for its adjustment terms only. These distinctions compared to the original Fox-Rabinovitz’-method are made easy to implement by the split time differencing approach of the Eta, and at the same time would appear clearly appropriate for the “initialization” purpose. In addition, while Fox-Rabinovitz emphasizes the use of the method within a long time-scale data assimilation framework, we are focusing on the impact of the method in a short-range forecasting environment/time-scale. After a short one hour “initialization” procedure is completed, standard model integration is continued, now very much free of noise. The Super-Matsuno style scheme is found to balance initially unbalanced external and internal modes and to significantly reduce the high-frequency noise during the first 6 time steps. In a control case noise also reduces in amplitude as integration proceeds, but at a much slower rate. The model integration results with and without “initialization” after 6 hours are however very similar. Even so, it is to be expected that small differences, given that they have resulted from the removal of spurious initial noise, have to be beneficial.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Springer Online Journal Archives 1860-2002</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lazić, Lazar</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">in</subfield><subfield code="t">Meteorology and atmospheric physics</subfield><subfield code="d">1948</subfield><subfield code="g">75(2000) vom: Jan./Feb., Seite 121-130</subfield><subfield code="w">(DE-627)NLEJ188994297</subfield><subfield code="w">(DE-600)1462145-9</subfield><subfield code="x">1436-5065</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:75</subfield><subfield code="g">year:2000</subfield><subfield code="g">month:01/02</subfield><subfield code="g">pages:121-130</subfield><subfield code="g">extent:10</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1007/s007030070019</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-SOJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">75</subfield><subfield code="j">2000</subfield><subfield code="c">1/2</subfield><subfield code="h">121-130</subfield><subfield code="g">10</subfield></datafield></record></collection>
|
| score |
7.4013834 |