Stochastic intervention analysis of rainfall
Summary Urbanization and industrialization are claimed to affect local climate and to increase precipitation in urban and surrounding rural areas. In the past, considerable meteorologic data have been collected in urban areas and the effects of urbanization on precipitation and other variables have...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Rao, A. R. [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
1987 |
|---|
| Schlagwörter: |
|---|
| Systematik: |
|
|---|
| Anmerkung: |
© Springer-Verlag 1987 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Theoretical and applied climatology - Springer-Verlag, 1986, 38(1987), 3 vom: Sept., Seite 127-139 |
|---|---|
| Übergeordnetes Werk: |
volume:38 ; year:1987 ; number:3 ; month:09 ; pages:127-139 |
| Links: |
|---|
| DOI / URN: |
10.1007/BF00868096 |
|---|
| Katalog-ID: |
OLC2048429998 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2048429998 | ||
| 003 | DE-627 | ||
| 005 | 20230502135548.0 | ||
| 007 | tu | ||
| 008 | 200820s1987 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/BF00868096 |2 doi | |
| 035 | |a (DE-627)OLC2048429998 | ||
| 035 | |a (DE-He213)BF00868096-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 550 |q VZ |
| 084 | |a 14 |2 ssgn | ||
| 084 | |a RA 1000 |q VZ |2 rvk | ||
| 100 | 1 | |a Rao, A. R. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Stochastic intervention analysis of rainfall |
| 264 | 1 | |c 1987 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer-Verlag 1987 | ||
| 520 | |a Summary Urbanization and industrialization are claimed to affect local climate and to increase precipitation in urban and surrounding rural areas. In the past, considerable meteorologic data have been collected in urban areas and the effects of urbanization on precipitation and other variables have been analyzed by using various techniques. In evaluating urban effects on precipitation, changes in precipitation due to urban effects must be distinguished from changes which are due to natural variability, noise effect, and sampling error. Stochastic intervention analysis is used in this study to establish the statistical significance of changes in monthly precipitation attributed to the effects of urbanization and industrialization and to investigate the nature of these changes. Intervention analysis is especially useful in the analysis of correlated and seasonal monthly rainfall data. Intervention analysis is used to determine whether changes have occurred in the overall mean value or in warm and cold seasons. Monthly rainfall data from Laporte and St. Louis areas are analyzed and the results are presented. | ||
| 650 | 4 | |a Precipitation | |
| 650 | 4 | |a Meteorologic Data | |
| 650 | 4 | |a Sampling Error | |
| 650 | 4 | |a Intervention Analysis | |
| 650 | 4 | |a Monthly Precipitation | |
| 700 | 1 | |a Rao, S. G. |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Theoretical and applied climatology |d Springer-Verlag, 1986 |g 38(1987), 3 vom: Sept., Seite 127-139 |w (DE-627)129958808 |w (DE-600)405799-5 |w (DE-576)01552857X |x 0177-798X |7 nnns |
| 773 | 1 | 8 | |g volume:38 |g year:1987 |g number:3 |g month:09 |g pages:127-139 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/BF00868096 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-GEO | ||
| 912 | |a SSG-OPC-GGO | ||
| 912 | |a GBV_ILN_11 | ||
| 912 | |a GBV_ILN_22 | ||
| 912 | |a GBV_ILN_31 | ||
| 912 | |a GBV_ILN_40 | ||
| 912 | |a GBV_ILN_62 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_130 | ||
| 912 | |a GBV_ILN_601 | ||
| 912 | |a GBV_ILN_2001 | ||
| 912 | |a GBV_ILN_2006 | ||
| 912 | |a GBV_ILN_2010 | ||
| 912 | |a GBV_ILN_2014 | ||
| 912 | |a GBV_ILN_2015 | ||
| 912 | |a GBV_ILN_4012 | ||
| 912 | |a GBV_ILN_4029 | ||
| 912 | |a GBV_ILN_4035 | ||
| 912 | |a GBV_ILN_4037 | ||
| 912 | |a GBV_ILN_4103 | ||
| 912 | |a GBV_ILN_4125 | ||
| 912 | |a GBV_ILN_4193 | ||
| 912 | |a GBV_ILN_4305 | ||
| 912 | |a GBV_ILN_4307 | ||
| 912 | |a GBV_ILN_4311 | ||
| 912 | |a GBV_ILN_4325 | ||
| 912 | |a GBV_ILN_4330 | ||
| 936 | r | v | |a RA 1000 |
| 951 | |a AR | ||
| 952 | |d 38 |j 1987 |e 3 |c 09 |h 127-139 | ||
| author_variant |
a r r ar arr s g r sg sgr |
|---|---|
| matchkey_str |
article:0177798X:1987----::tcatcnevninnlss |
| hierarchy_sort_str |
1987 |
| publishDate |
1987 |
| allfields |
10.1007/BF00868096 doi (DE-627)OLC2048429998 (DE-He213)BF00868096-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Rao, A. R. verfasserin aut Stochastic intervention analysis of rainfall 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 1987 Summary Urbanization and industrialization are claimed to affect local climate and to increase precipitation in urban and surrounding rural areas. In the past, considerable meteorologic data have been collected in urban areas and the effects of urbanization on precipitation and other variables have been analyzed by using various techniques. In evaluating urban effects on precipitation, changes in precipitation due to urban effects must be distinguished from changes which are due to natural variability, noise effect, and sampling error. Stochastic intervention analysis is used in this study to establish the statistical significance of changes in monthly precipitation attributed to the effects of urbanization and industrialization and to investigate the nature of these changes. Intervention analysis is especially useful in the analysis of correlated and seasonal monthly rainfall data. Intervention analysis is used to determine whether changes have occurred in the overall mean value or in warm and cold seasons. Monthly rainfall data from Laporte and St. Louis areas are analyzed and the results are presented. Precipitation Meteorologic Data Sampling Error Intervention Analysis Monthly Precipitation Rao, S. G. aut Enthalten in Theoretical and applied climatology Springer-Verlag, 1986 38(1987), 3 vom: Sept., Seite 127-139 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:38 year:1987 number:3 month:09 pages:127-139 https://doi.org/10.1007/BF00868096 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_130 GBV_ILN_601 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4103 GBV_ILN_4125 GBV_ILN_4193 GBV_ILN_4305 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4325 GBV_ILN_4330 RA 1000 AR 38 1987 3 09 127-139 |
| spelling |
10.1007/BF00868096 doi (DE-627)OLC2048429998 (DE-He213)BF00868096-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Rao, A. R. verfasserin aut Stochastic intervention analysis of rainfall 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 1987 Summary Urbanization and industrialization are claimed to affect local climate and to increase precipitation in urban and surrounding rural areas. In the past, considerable meteorologic data have been collected in urban areas and the effects of urbanization on precipitation and other variables have been analyzed by using various techniques. In evaluating urban effects on precipitation, changes in precipitation due to urban effects must be distinguished from changes which are due to natural variability, noise effect, and sampling error. Stochastic intervention analysis is used in this study to establish the statistical significance of changes in monthly precipitation attributed to the effects of urbanization and industrialization and to investigate the nature of these changes. Intervention analysis is especially useful in the analysis of correlated and seasonal monthly rainfall data. Intervention analysis is used to determine whether changes have occurred in the overall mean value or in warm and cold seasons. Monthly rainfall data from Laporte and St. Louis areas are analyzed and the results are presented. Precipitation Meteorologic Data Sampling Error Intervention Analysis Monthly Precipitation Rao, S. G. aut Enthalten in Theoretical and applied climatology Springer-Verlag, 1986 38(1987), 3 vom: Sept., Seite 127-139 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:38 year:1987 number:3 month:09 pages:127-139 https://doi.org/10.1007/BF00868096 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_130 GBV_ILN_601 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4103 GBV_ILN_4125 GBV_ILN_4193 GBV_ILN_4305 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4325 GBV_ILN_4330 RA 1000 AR 38 1987 3 09 127-139 |
| allfields_unstemmed |
10.1007/BF00868096 doi (DE-627)OLC2048429998 (DE-He213)BF00868096-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Rao, A. R. verfasserin aut Stochastic intervention analysis of rainfall 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 1987 Summary Urbanization and industrialization are claimed to affect local climate and to increase precipitation in urban and surrounding rural areas. In the past, considerable meteorologic data have been collected in urban areas and the effects of urbanization on precipitation and other variables have been analyzed by using various techniques. In evaluating urban effects on precipitation, changes in precipitation due to urban effects must be distinguished from changes which are due to natural variability, noise effect, and sampling error. Stochastic intervention analysis is used in this study to establish the statistical significance of changes in monthly precipitation attributed to the effects of urbanization and industrialization and to investigate the nature of these changes. Intervention analysis is especially useful in the analysis of correlated and seasonal monthly rainfall data. Intervention analysis is used to determine whether changes have occurred in the overall mean value or in warm and cold seasons. Monthly rainfall data from Laporte and St. Louis areas are analyzed and the results are presented. Precipitation Meteorologic Data Sampling Error Intervention Analysis Monthly Precipitation Rao, S. G. aut Enthalten in Theoretical and applied climatology Springer-Verlag, 1986 38(1987), 3 vom: Sept., Seite 127-139 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:38 year:1987 number:3 month:09 pages:127-139 https://doi.org/10.1007/BF00868096 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_130 GBV_ILN_601 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4103 GBV_ILN_4125 GBV_ILN_4193 GBV_ILN_4305 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4325 GBV_ILN_4330 RA 1000 AR 38 1987 3 09 127-139 |
| allfieldsGer |
10.1007/BF00868096 doi (DE-627)OLC2048429998 (DE-He213)BF00868096-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Rao, A. R. verfasserin aut Stochastic intervention analysis of rainfall 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 1987 Summary Urbanization and industrialization are claimed to affect local climate and to increase precipitation in urban and surrounding rural areas. In the past, considerable meteorologic data have been collected in urban areas and the effects of urbanization on precipitation and other variables have been analyzed by using various techniques. In evaluating urban effects on precipitation, changes in precipitation due to urban effects must be distinguished from changes which are due to natural variability, noise effect, and sampling error. Stochastic intervention analysis is used in this study to establish the statistical significance of changes in monthly precipitation attributed to the effects of urbanization and industrialization and to investigate the nature of these changes. Intervention analysis is especially useful in the analysis of correlated and seasonal monthly rainfall data. Intervention analysis is used to determine whether changes have occurred in the overall mean value or in warm and cold seasons. Monthly rainfall data from Laporte and St. Louis areas are analyzed and the results are presented. Precipitation Meteorologic Data Sampling Error Intervention Analysis Monthly Precipitation Rao, S. G. aut Enthalten in Theoretical and applied climatology Springer-Verlag, 1986 38(1987), 3 vom: Sept., Seite 127-139 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:38 year:1987 number:3 month:09 pages:127-139 https://doi.org/10.1007/BF00868096 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_130 GBV_ILN_601 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4103 GBV_ILN_4125 GBV_ILN_4193 GBV_ILN_4305 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4325 GBV_ILN_4330 RA 1000 AR 38 1987 3 09 127-139 |
| allfieldsSound |
10.1007/BF00868096 doi (DE-627)OLC2048429998 (DE-He213)BF00868096-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Rao, A. R. verfasserin aut Stochastic intervention analysis of rainfall 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 1987 Summary Urbanization and industrialization are claimed to affect local climate and to increase precipitation in urban and surrounding rural areas. In the past, considerable meteorologic data have been collected in urban areas and the effects of urbanization on precipitation and other variables have been analyzed by using various techniques. In evaluating urban effects on precipitation, changes in precipitation due to urban effects must be distinguished from changes which are due to natural variability, noise effect, and sampling error. Stochastic intervention analysis is used in this study to establish the statistical significance of changes in monthly precipitation attributed to the effects of urbanization and industrialization and to investigate the nature of these changes. Intervention analysis is especially useful in the analysis of correlated and seasonal monthly rainfall data. Intervention analysis is used to determine whether changes have occurred in the overall mean value or in warm and cold seasons. Monthly rainfall data from Laporte and St. Louis areas are analyzed and the results are presented. Precipitation Meteorologic Data Sampling Error Intervention Analysis Monthly Precipitation Rao, S. G. aut Enthalten in Theoretical and applied climatology Springer-Verlag, 1986 38(1987), 3 vom: Sept., Seite 127-139 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:38 year:1987 number:3 month:09 pages:127-139 https://doi.org/10.1007/BF00868096 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_130 GBV_ILN_601 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4103 GBV_ILN_4125 GBV_ILN_4193 GBV_ILN_4305 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4325 GBV_ILN_4330 RA 1000 AR 38 1987 3 09 127-139 |
| language |
English |
| source |
Enthalten in Theoretical and applied climatology 38(1987), 3 vom: Sept., Seite 127-139 volume:38 year:1987 number:3 month:09 pages:127-139 |
| sourceStr |
Enthalten in Theoretical and applied climatology 38(1987), 3 vom: Sept., Seite 127-139 volume:38 year:1987 number:3 month:09 pages:127-139 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Precipitation Meteorologic Data Sampling Error Intervention Analysis Monthly Precipitation |
| dewey-raw |
550 |
| isfreeaccess_bool |
false |
| container_title |
Theoretical and applied climatology |
| authorswithroles_txt_mv |
Rao, A. R. @@aut@@ Rao, S. G. @@aut@@ |
| publishDateDaySort_date |
1987-09-01T00:00:00Z |
| hierarchy_top_id |
129958808 |
| dewey-sort |
3550 |
| id |
OLC2048429998 |
| 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">OLC2048429998</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502135548.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s1987 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/BF00868096</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2048429998</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)BF00868096-p</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">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">14</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">RA 1000</subfield><subfield code="q">VZ</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rao, A. R.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Stochastic intervention analysis of rainfall</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">1987</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag 1987</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Summary Urbanization and industrialization are claimed to affect local climate and to increase precipitation in urban and surrounding rural areas. In the past, considerable meteorologic data have been collected in urban areas and the effects of urbanization on precipitation and other variables have been analyzed by using various techniques. In evaluating urban effects on precipitation, changes in precipitation due to urban effects must be distinguished from changes which are due to natural variability, noise effect, and sampling error. Stochastic intervention analysis is used in this study to establish the statistical significance of changes in monthly precipitation attributed to the effects of urbanization and industrialization and to investigate the nature of these changes. Intervention analysis is especially useful in the analysis of correlated and seasonal monthly rainfall data. Intervention analysis is used to determine whether changes have occurred in the overall mean value or in warm and cold seasons. Monthly rainfall data from Laporte and St. Louis areas are analyzed and the results are presented.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Precipitation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Meteorologic Data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sampling Error</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intervention Analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Monthly Precipitation</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rao, S. G.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Theoretical and applied climatology</subfield><subfield code="d">Springer-Verlag, 1986</subfield><subfield code="g">38(1987), 3 vom: Sept., Seite 127-139</subfield><subfield code="w">(DE-627)129958808</subfield><subfield code="w">(DE-600)405799-5</subfield><subfield code="w">(DE-576)01552857X</subfield><subfield code="x">0177-798X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:38</subfield><subfield code="g">year:1987</subfield><subfield code="g">number:3</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:127-139</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/BF00868096</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_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</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_31</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_62</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_130</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_601</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4029</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4103</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4193</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4311</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4330</subfield></datafield><datafield tag="936" ind1="r" ind2="v"><subfield code="a">RA 1000</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">38</subfield><subfield code="j">1987</subfield><subfield code="e">3</subfield><subfield code="c">09</subfield><subfield code="h">127-139</subfield></datafield></record></collection>
|
| author |
Rao, A. R. |
| spellingShingle |
Rao, A. R. ddc 550 ssgn 14 rvk RA 1000 misc Precipitation misc Meteorologic Data misc Sampling Error misc Intervention Analysis misc Monthly Precipitation Stochastic intervention analysis of rainfall |
| authorStr |
Rao, A. R. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)129958808 |
| format |
Article |
| dewey-ones |
550 - Earth sciences |
| delete_txt_mv |
keep |
| author_role |
aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0177-798X |
| topic_title |
550 VZ 14 ssgn RA 1000 VZ rvk Stochastic intervention analysis of rainfall Precipitation Meteorologic Data Sampling Error Intervention Analysis Monthly Precipitation |
| topic |
ddc 550 ssgn 14 rvk RA 1000 misc Precipitation misc Meteorologic Data misc Sampling Error misc Intervention Analysis misc Monthly Precipitation |
| topic_unstemmed |
ddc 550 ssgn 14 rvk RA 1000 misc Precipitation misc Meteorologic Data misc Sampling Error misc Intervention Analysis misc Monthly Precipitation |
| topic_browse |
ddc 550 ssgn 14 rvk RA 1000 misc Precipitation misc Meteorologic Data misc Sampling Error misc Intervention Analysis misc Monthly Precipitation |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Theoretical and applied climatology |
| hierarchy_parent_id |
129958808 |
| dewey-tens |
550 - Earth sciences & geology |
| hierarchy_top_title |
Theoretical and applied climatology |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X |
| title |
Stochastic intervention analysis of rainfall |
| ctrlnum |
(DE-627)OLC2048429998 (DE-He213)BF00868096-p |
| title_full |
Stochastic intervention analysis of rainfall |
| author_sort |
Rao, A. R. |
| journal |
Theoretical and applied climatology |
| journalStr |
Theoretical and applied climatology |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science |
| recordtype |
marc |
| publishDateSort |
1987 |
| contenttype_str_mv |
txt |
| container_start_page |
127 |
| author_browse |
Rao, A. R. Rao, S. G. |
| container_volume |
38 |
| class |
550 VZ 14 ssgn RA 1000 VZ rvk |
| format_se |
Aufsätze |
| author-letter |
Rao, A. R. |
| doi_str_mv |
10.1007/BF00868096 |
| dewey-full |
550 |
| title_sort |
stochastic intervention analysis of rainfall |
| title_auth |
Stochastic intervention analysis of rainfall |
| abstract |
Summary Urbanization and industrialization are claimed to affect local climate and to increase precipitation in urban and surrounding rural areas. In the past, considerable meteorologic data have been collected in urban areas and the effects of urbanization on precipitation and other variables have been analyzed by using various techniques. In evaluating urban effects on precipitation, changes in precipitation due to urban effects must be distinguished from changes which are due to natural variability, noise effect, and sampling error. Stochastic intervention analysis is used in this study to establish the statistical significance of changes in monthly precipitation attributed to the effects of urbanization and industrialization and to investigate the nature of these changes. Intervention analysis is especially useful in the analysis of correlated and seasonal monthly rainfall data. Intervention analysis is used to determine whether changes have occurred in the overall mean value or in warm and cold seasons. Monthly rainfall data from Laporte and St. Louis areas are analyzed and the results are presented. © Springer-Verlag 1987 |
| abstractGer |
Summary Urbanization and industrialization are claimed to affect local climate and to increase precipitation in urban and surrounding rural areas. In the past, considerable meteorologic data have been collected in urban areas and the effects of urbanization on precipitation and other variables have been analyzed by using various techniques. In evaluating urban effects on precipitation, changes in precipitation due to urban effects must be distinguished from changes which are due to natural variability, noise effect, and sampling error. Stochastic intervention analysis is used in this study to establish the statistical significance of changes in monthly precipitation attributed to the effects of urbanization and industrialization and to investigate the nature of these changes. Intervention analysis is especially useful in the analysis of correlated and seasonal monthly rainfall data. Intervention analysis is used to determine whether changes have occurred in the overall mean value or in warm and cold seasons. Monthly rainfall data from Laporte and St. Louis areas are analyzed and the results are presented. © Springer-Verlag 1987 |
| abstract_unstemmed |
Summary Urbanization and industrialization are claimed to affect local climate and to increase precipitation in urban and surrounding rural areas. In the past, considerable meteorologic data have been collected in urban areas and the effects of urbanization on precipitation and other variables have been analyzed by using various techniques. In evaluating urban effects on precipitation, changes in precipitation due to urban effects must be distinguished from changes which are due to natural variability, noise effect, and sampling error. Stochastic intervention analysis is used in this study to establish the statistical significance of changes in monthly precipitation attributed to the effects of urbanization and industrialization and to investigate the nature of these changes. Intervention analysis is especially useful in the analysis of correlated and seasonal monthly rainfall data. Intervention analysis is used to determine whether changes have occurred in the overall mean value or in warm and cold seasons. Monthly rainfall data from Laporte and St. Louis areas are analyzed and the results are presented. © Springer-Verlag 1987 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_22 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_130 GBV_ILN_601 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4103 GBV_ILN_4125 GBV_ILN_4193 GBV_ILN_4305 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4325 GBV_ILN_4330 |
| container_issue |
3 |
| title_short |
Stochastic intervention analysis of rainfall |
| url |
https://doi.org/10.1007/BF00868096 |
| remote_bool |
false |
| author2 |
Rao, S. G. |
| author2Str |
Rao, S. G. |
| ppnlink |
129958808 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/BF00868096 |
| up_date |
2024-07-03T18:41:35.402Z |
| _version_ |
1803584374469296128 |
| 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">OLC2048429998</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502135548.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s1987 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/BF00868096</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2048429998</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)BF00868096-p</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">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">14</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">RA 1000</subfield><subfield code="q">VZ</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rao, A. R.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Stochastic intervention analysis of rainfall</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">1987</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag 1987</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Summary Urbanization and industrialization are claimed to affect local climate and to increase precipitation in urban and surrounding rural areas. In the past, considerable meteorologic data have been collected in urban areas and the effects of urbanization on precipitation and other variables have been analyzed by using various techniques. In evaluating urban effects on precipitation, changes in precipitation due to urban effects must be distinguished from changes which are due to natural variability, noise effect, and sampling error. Stochastic intervention analysis is used in this study to establish the statistical significance of changes in monthly precipitation attributed to the effects of urbanization and industrialization and to investigate the nature of these changes. Intervention analysis is especially useful in the analysis of correlated and seasonal monthly rainfall data. Intervention analysis is used to determine whether changes have occurred in the overall mean value or in warm and cold seasons. Monthly rainfall data from Laporte and St. Louis areas are analyzed and the results are presented.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Precipitation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Meteorologic Data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sampling Error</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intervention Analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Monthly Precipitation</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rao, S. G.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Theoretical and applied climatology</subfield><subfield code="d">Springer-Verlag, 1986</subfield><subfield code="g">38(1987), 3 vom: Sept., Seite 127-139</subfield><subfield code="w">(DE-627)129958808</subfield><subfield code="w">(DE-600)405799-5</subfield><subfield code="w">(DE-576)01552857X</subfield><subfield code="x">0177-798X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:38</subfield><subfield code="g">year:1987</subfield><subfield code="g">number:3</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:127-139</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/BF00868096</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_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</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_31</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_62</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_130</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_601</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4029</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4103</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4193</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4311</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4330</subfield></datafield><datafield tag="936" ind1="r" ind2="v"><subfield code="a">RA 1000</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">38</subfield><subfield code="j">1987</subfield><subfield code="e">3</subfield><subfield code="c">09</subfield><subfield code="h">127-139</subfield></datafield></record></collection>
|
| score |
7.4013863 |