El Niño Southern Oscillation (1896 to 2016): Quantifying Effects on Winter Precipitation and Temperature in Southwest Ohio, USA
Continental-scale studies of North America suggest that the El Niño Southern Oscillation (ENSO) can cause winters to be warmer, with less precipitation, during El Niño conditions and colder, with more precipitation, during La Niña conditions in the Midwest United States. Two sources of historical re...
Gespeichert in:
| Veröffentlicht in: | The Ohio journal of science 2022-01, Vol.121 (2), p.64-77 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 77 |
|---|---|
| container_issue | 2 |
| container_start_page | 64 |
| container_title | The Ohio journal of science |
| container_volume | 121 |
| creator | Ritzi, Robert W. Roberson, Lauren M. Bottomley, Michael |
| description | Continental-scale studies of North America suggest that the El Niño Southern Oscillation (ENSO) can cause winters to be warmer, with less precipitation, during El Niño conditions and colder, with more precipitation, during La Niña conditions in the Midwest United States. Two sources of historical records of precipitation and temperature in southwest Ohio from 1896 to 2016 were analyzed. Three statistical methodologies were used to test the hypothesis that anomalies in winter temperature and precipitation occurred in relation to ENSO phases. Eighty percent of El Niño winters had below-average winter precipitation; the average anomaly was −5 cm. Precipitation decreased with increase in El Niño strength as measured by the Multivariate ENSO Index (MEI). These results were statistically significant beyond the 95% level. However, variation in MEI only accounted for 3% of the overall variability in winter precipitation. Many of the drier winters on record, including the extrema, occurred during neutral winters. During La Niña winters precipitation was not statistically significantly different from that in neutral winters. Winter temperature was not statistically significantly different during El Niño and La Niña winters within the century of record. The results were consistent between separate analyses of data from the 2 different sources. |
| doi_str_mv | 10.18061/ojs.v121i2.7650 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2884349859</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2884349859</sourcerecordid><originalsourceid>FETCH-LOGICAL-c139t-1236ca9bb5ae0cd1ff1763b1df10ab371cbdf4ae2475a68eba25c6298c2b3e243</originalsourceid><addsrcrecordid>eNotkE1LAzEQhoMoWKt3jwEvCm7NJPuReCulfoBYpS0el2ya2JR2U5Os0pt_yd_gH3N1PQ0Mz8w78yB0CmQAnORw5VZh8A4ULB0UeUb2UI-mBSSCCbKPeoQwkhCRkUN0FMKKECgKznvoc7zGj_b7y-Gpa-JS-xpPgrLrtYzW1fgcuMhxdJgSyC-u8XMj62jNztaveGyMVjHgFnuxddQeP3mt7NbGblbWCzzTm632MjZeY1t3GR86RDxZWneJ59PhMTowch30yX_to_nNeDa6Sx4mt_ej4UOigImYAGW5kqKqMqmJWoAxUOSsgoUBIitWgKoWJpW6_TmTOdeVpJnKqeCKVqztsj466_ZuvXtr2hPKlWt83UaWlPOUpYJnoqVIRynvQvDalFtvN9LvSiDln-ey9Vx2nstfz-wHG4pyaw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2884349859</pqid></control><display><type>article</type><title>El Niño Southern Oscillation (1896 to 2016): Quantifying Effects on Winter Precipitation and Temperature in Southwest Ohio, USA</title><source>Alma/SFX Local Collection</source><creator>Ritzi, Robert W. ; Roberson, Lauren M. ; Bottomley, Michael</creator><creatorcontrib>Ritzi, Robert W. ; Roberson, Lauren M. ; Bottomley, Michael</creatorcontrib><description>Continental-scale studies of North America suggest that the El Niño Southern Oscillation (ENSO) can cause winters to be warmer, with less precipitation, during El Niño conditions and colder, with more precipitation, during La Niña conditions in the Midwest United States. Two sources of historical records of precipitation and temperature in southwest Ohio from 1896 to 2016 were analyzed. Three statistical methodologies were used to test the hypothesis that anomalies in winter temperature and precipitation occurred in relation to ENSO phases. Eighty percent of El Niño winters had below-average winter precipitation; the average anomaly was −5 cm. Precipitation decreased with increase in El Niño strength as measured by the Multivariate ENSO Index (MEI). These results were statistically significant beyond the 95% level. However, variation in MEI only accounted for 3% of the overall variability in winter precipitation. Many of the drier winters on record, including the extrema, occurred during neutral winters. During La Niña winters precipitation was not statistically significantly different from that in neutral winters. Winter temperature was not statistically significantly different during El Niño and La Niña winters within the century of record. The results were consistent between separate analyses of data from the 2 different sources.</description><identifier>ISSN: 0030-0950</identifier><identifier>EISSN: 2471-9390</identifier><identifier>DOI: 10.18061/ojs.v121i2.7650</identifier><language>eng</language><publisher>Columbus: Ohio Academy of Science</publisher><subject>Agriculture ; Anomalies ; El Nino ; Floods ; Hypotheses ; La Nina ; Precipitation ; Rivers ; Southern Oscillation ; Statistical analysis ; Statistical methods ; Statistical significance ; Temperature ; Water quality ; Watersheds ; Winter</subject><ispartof>The Ohio journal of science, 2022-01, Vol.121 (2), p.64-77</ispartof><rights>Copyright Ohio Academy of Science Jan 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Ritzi, Robert W.</creatorcontrib><creatorcontrib>Roberson, Lauren M.</creatorcontrib><creatorcontrib>Bottomley, Michael</creatorcontrib><title>El Niño Southern Oscillation (1896 to 2016): Quantifying Effects on Winter Precipitation and Temperature in Southwest Ohio, USA</title><title>The Ohio journal of science</title><description>Continental-scale studies of North America suggest that the El Niño Southern Oscillation (ENSO) can cause winters to be warmer, with less precipitation, during El Niño conditions and colder, with more precipitation, during La Niña conditions in the Midwest United States. Two sources of historical records of precipitation and temperature in southwest Ohio from 1896 to 2016 were analyzed. Three statistical methodologies were used to test the hypothesis that anomalies in winter temperature and precipitation occurred in relation to ENSO phases. Eighty percent of El Niño winters had below-average winter precipitation; the average anomaly was −5 cm. Precipitation decreased with increase in El Niño strength as measured by the Multivariate ENSO Index (MEI). These results were statistically significant beyond the 95% level. However, variation in MEI only accounted for 3% of the overall variability in winter precipitation. Many of the drier winters on record, including the extrema, occurred during neutral winters. During La Niña winters precipitation was not statistically significantly different from that in neutral winters. Winter temperature was not statistically significantly different during El Niño and La Niña winters within the century of record. The results were consistent between separate analyses of data from the 2 different sources.</description><subject>Agriculture</subject><subject>Anomalies</subject><subject>El Nino</subject><subject>Floods</subject><subject>Hypotheses</subject><subject>La Nina</subject><subject>Precipitation</subject><subject>Rivers</subject><subject>Southern Oscillation</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistical significance</subject><subject>Temperature</subject><subject>Water quality</subject><subject>Watersheds</subject><subject>Winter</subject><issn>0030-0950</issn><issn>2471-9390</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNotkE1LAzEQhoMoWKt3jwEvCm7NJPuReCulfoBYpS0el2ya2JR2U5Os0pt_yd_gH3N1PQ0Mz8w78yB0CmQAnORw5VZh8A4ULB0UeUb2UI-mBSSCCbKPeoQwkhCRkUN0FMKKECgKznvoc7zGj_b7y-Gpa-JS-xpPgrLrtYzW1fgcuMhxdJgSyC-u8XMj62jNztaveGyMVjHgFnuxddQeP3mt7NbGblbWCzzTm632MjZeY1t3GR86RDxZWneJ59PhMTowch30yX_to_nNeDa6Sx4mt_ej4UOigImYAGW5kqKqMqmJWoAxUOSsgoUBIitWgKoWJpW6_TmTOdeVpJnKqeCKVqztsj466_ZuvXtr2hPKlWt83UaWlPOUpYJnoqVIRynvQvDalFtvN9LvSiDln-ey9Vx2nstfz-wHG4pyaw</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>Ritzi, Robert W.</creator><creator>Roberson, Lauren M.</creator><creator>Bottomley, Michael</creator><general>Ohio Academy of Science</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7SN</scope><scope>7SS</scope><scope>7T7</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PADUT</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20220101</creationdate><title>El Niño Southern Oscillation (1896 to 2016): Quantifying Effects on Winter Precipitation and Temperature in Southwest Ohio, USA</title><author>Ritzi, Robert W. ; Roberson, Lauren M. ; Bottomley, Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c139t-1236ca9bb5ae0cd1ff1763b1df10ab371cbdf4ae2475a68eba25c6298c2b3e243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agriculture</topic><topic>Anomalies</topic><topic>El Nino</topic><topic>Floods</topic><topic>Hypotheses</topic><topic>La Nina</topic><topic>Precipitation</topic><topic>Rivers</topic><topic>Southern Oscillation</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Statistical significance</topic><topic>Temperature</topic><topic>Water quality</topic><topic>Watersheds</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ritzi, Robert W.</creatorcontrib><creatorcontrib>Roberson, Lauren M.</creatorcontrib><creatorcontrib>Bottomley, Michael</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Research Library China</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>The Ohio journal of science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ritzi, Robert W.</au><au>Roberson, Lauren M.</au><au>Bottomley, Michael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>El Niño Southern Oscillation (1896 to 2016): Quantifying Effects on Winter Precipitation and Temperature in Southwest Ohio, USA</atitle><jtitle>The Ohio journal of science</jtitle><date>2022-01-01</date><risdate>2022</risdate><volume>121</volume><issue>2</issue><spage>64</spage><epage>77</epage><pages>64-77</pages><issn>0030-0950</issn><eissn>2471-9390</eissn><abstract>Continental-scale studies of North America suggest that the El Niño Southern Oscillation (ENSO) can cause winters to be warmer, with less precipitation, during El Niño conditions and colder, with more precipitation, during La Niña conditions in the Midwest United States. Two sources of historical records of precipitation and temperature in southwest Ohio from 1896 to 2016 were analyzed. Three statistical methodologies were used to test the hypothesis that anomalies in winter temperature and precipitation occurred in relation to ENSO phases. Eighty percent of El Niño winters had below-average winter precipitation; the average anomaly was −5 cm. Precipitation decreased with increase in El Niño strength as measured by the Multivariate ENSO Index (MEI). These results were statistically significant beyond the 95% level. However, variation in MEI only accounted for 3% of the overall variability in winter precipitation. Many of the drier winters on record, including the extrema, occurred during neutral winters. During La Niña winters precipitation was not statistically significantly different from that in neutral winters. Winter temperature was not statistically significantly different during El Niño and La Niña winters within the century of record. The results were consistent between separate analyses of data from the 2 different sources.</abstract><cop>Columbus</cop><pub>Ohio Academy of Science</pub><doi>10.18061/ojs.v121i2.7650</doi><tpages>14</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0030-0950 |
| ispartof | The Ohio journal of science, 2022-01, Vol.121 (2), p.64-77 |
| issn | 0030-0950 2471-9390 |
| language | eng |
| recordid | cdi_proquest_journals_2884349859 |
| source | Alma/SFX Local Collection |
| subjects | Agriculture Anomalies El Nino Floods Hypotheses La Nina Precipitation Rivers Southern Oscillation Statistical analysis Statistical methods Statistical significance Temperature Water quality Watersheds Winter |
| title | El Niño Southern Oscillation (1896 to 2016): Quantifying Effects on Winter Precipitation and Temperature in Southwest Ohio, USA |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T22%3A41%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=El%20Ni%C3%B1o%20Southern%20Oscillation%20(1896%20to%202016):%20Quantifying%20Effects%20on%20Winter%20Precipitation%20and%20Temperature%20in%20Southwest%20Ohio,%20USA&rft.jtitle=The%20Ohio%20journal%20of%20science&rft.au=Ritzi,%20Robert%20W.&rft.date=2022-01-01&rft.volume=121&rft.issue=2&rft.spage=64&rft.epage=77&rft.pages=64-77&rft.issn=0030-0950&rft.eissn=2471-9390&rft_id=info:doi/10.18061/ojs.v121i2.7650&rft_dat=%3Cproquest_cross%3E2884349859%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2884349859&rft_id=info:pmid/&rfr_iscdi=true |