{"id":{"repo_id":"texas-state","oai_identifier":"oai:digital.library.txst.edu:10877/23612"},"canonical_url":"https://search.dev.ndltd.org/etd/texas-state/oai:digital.library.txst.edu:10877/23612","repository":{"repo_id":"texas-state","name":"Texas State University","base_url":"https://digital.library.txst.edu/server/oai/request"},"display":{"title":"Examining the Connection between Guam's Seasonal Rainfall and the El-Nino Southern Oscillation 1950-2023","abstract":"Guam has seen an increase in water demand resulting in a need for imports of fresh water. Annual rainfall is impacted by both tropical cyclones and interannual climate variability. This interannual variability is represented by the El Nino Southern Oscillation (ENSO). Different phases of ENSO may produce deviations from the expected precipitation pattern. Knowledge of this deviation, may assist planners in compensating for changes in water supply. This study will analyze monthly precipitation values from 1950 thru 2023 on Guam in comparison to the ENSO phase. Data will be aggregated into the four seasons to identify ENSO phase impacts on seasonal precipitation. Descriptive and inferential techniques, particularly ANOVA will be employed. In addition, a phase lag of one season will also be tested for its impact on precipitation. It is anticipated that results of the analysis will identify seasons of higher or lower precipitation depending on the current and possibly previous season ENSO phase.","abstract_html":"Guam has seen an increase in water demand resulting in a need for imports of fresh water. Annual rainfall is impacted by both tropical cyclones and interannual climate variability. This interannual variability is represented by the El Nino Southern Oscillation (ENSO). Different phases of ENSO may produce deviations from the expected precipitation pattern. Knowledge of this deviation, may assist planners in compensating for changes in water supply. This study will analyze monthly precipitation values from 1950 thru 2023 on Guam in comparison to the ENSO phase. Data will be aggregated into the four seasons to identify ENSO phase impacts on seasonal precipitation. Descriptive and inferential techniques, particularly ANOVA will be employed. In addition, a phase lag of one season will also be tested for its impact on precipitation. It is anticipated that results of the analysis will identify seasons of higher or lower precipitation depending on the current and possibly previous season ENSO phase.","abstract_has_math":false,"creators":["King, Christie Lee"],"institution":"Texas State University","degree_name":"Masters of Applied Geography","degree_level":"Masters","degree_discipline":"Applied Geography","degree_department":null,"school":null,"contributors":[],"advisors":["Dixon, Richard W."],"committee_chairs":[],"committee_members":["Blanchard-Boehm, Denise"],"year":2025,"date_issued":"2025-12","date_published":"2025-12","updated_at":"2026-07-27T21:22:35Z","subjects":["Guam","El-Nino","ENSO","rainfall","El-Nino Southern Oscillation"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10877/23612","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Dixon, Richard W."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Blanchard-Boehm, Denise"]},{"key":"dc:creator","label":"Author","values":["King, Christie Lee"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2026-01-14T18:11:38Z"]},{"key":"dc:date.issued","label":"Date","values":["2025-12"]},{"key":"dc:type","label":"Dc Type","values":["Research Project"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Applied Geography"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Masters of Applied Geography"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Texas State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Guam","El-Nino","ENSO","rainfall","El-Nino Southern Oscillation"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10877/23612"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Applied Geography Directed Research"]},{"key":"dc:description.abstract","label":"Abstract","values":["Guam has seen an increase in water demand resulting in a need for imports of fresh water. Annual rainfall is impacted by both tropical cyclones and interannual climate variability. This interannual variability is represented by the El Nino Southern Oscillation (ENSO). Different phases of ENSO may produce deviations from the expected precipitation pattern. Knowledge of this deviation, may assist planners in compensating for changes in water supply. This study will analyze monthly precipitation values from 1950 thru 2023 on Guam in comparison to the ENSO phase. Data will be aggregated into the four seasons to identify ENSO phase impacts on seasonal precipitation. Descriptive and inferential techniques, particularly ANOVA will be employed. In addition, a phase lag of one season will also be tested for its impact on precipitation. It is anticipated that results of the analysis will identify seasons of higher or lower precipitation depending on the current and possibly previous season ENSO phase."]},{"key":"dc:format","label":"Dc Format","values":["Text"]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["1 file (.pdf)"]},{"key":"dc:title","label":"Title","values":["Examining the Connection between Guam's Seasonal Rainfall and the El-Nino Southern Oscillation 1950-2023"]}]}],"canonical_facts":{"dc:contributor.advisor":["Dixon, Richard W."],"dc:contributor.committeemember":["Blanchard-Boehm, Denise"],"dc:creator":["King, Christie Lee"],"dc:date.accessioned":["2026-01-14T18:11:38Z"],"dc:date.issued":["2025-12"],"dc:description":["Applied Geography Directed Research"],"dc:description.abstract":["Guam has seen an increase in water demand resulting in a need for imports of fresh water. Annual rainfall is impacted by both tropical cyclones and interannual climate variability. This interannual variability is represented by the El Nino Southern Oscillation (ENSO). Different phases of ENSO may produce deviations from the expected precipitation pattern. Knowledge of this deviation, may assist planners in compensating for changes in water supply. This study will analyze monthly precipitation values from 1950 thru 2023 on Guam in comparison to the ENSO phase. Data will be aggregated into the four seasons to identify ENSO phase impacts on seasonal precipitation. Descriptive and inferential techniques, particularly ANOVA will be employed. In addition, a phase lag of one season will also be tested for its impact on precipitation. It is anticipated that results of the analysis will identify seasons of higher or lower precipitation depending on the current and possibly previous season ENSO phase."],"dc:format":["Text"],"dc:format.medium":["1 file (.pdf)"],"dc:identifier.uri":["https://hdl.handle.net/10877/23612"],"dc:language.iso":["en"],"dc:subject":["Guam","El-Nino","ENSO","rainfall","El-Nino Southern Oscillation"],"dc:title":["Examining the Connection between Guam's Seasonal Rainfall and the El-Nino Southern Oscillation 1950-2023"],"dc:type":["Research Project"],"thesis:degree_discipline":["Applied Geography"],"thesis:degree_level":["Masters"],"thesis:degree_name":["Masters of Applied Geography"],"thesis:institution_name":["Texas State University"]},"updated_at":"2026-07-27T21:22:35Z"}