Schematic diagram of random forest algorithm.
<div><p>For flood-prone, developing nations where hydrological data is scarce, an innovative methodological approach is essential. This study aims to explore the potentiality of modelling daily evapotranspiration time series by checking causal relationship among the available climate var...
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2025
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| _version_ | 1852022845233692672 |
|---|---|
| author | Imee V. Necesito (12749885) |
| author2 | Junhyeong Lee (288025) Kyunghun Kim (725182) Yujin Kang (9964968) Feng Quan (11907179) Soojun Kim (12749897) Hung Soo Kim (12749900) |
| author2_role | author author author author author author |
| author_facet | Imee V. Necesito (12749885) Junhyeong Lee (288025) Kyunghun Kim (725182) Yujin Kang (9964968) Feng Quan (11907179) Soojun Kim (12749897) Hung Soo Kim (12749900) |
| author_role | author |
| dc.creator.none.fl_str_mv | Imee V. Necesito (12749885) Junhyeong Lee (288025) Kyunghun Kim (725182) Yujin Kang (9964968) Feng Quan (11907179) Soojun Kim (12749897) Hung Soo Kim (12749900) |
| dc.date.none.fl_str_mv | 2025-02-10T18:28:55Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0318675.s003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Schematic_diagram_of_random_forest_algorithm_/28383461 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biotechnology Ecology Inorganic Chemistry Science Policy Biological Sciences not elsewhere classified sea surface temperature ni &# 241 linear autoregressive exogenous innovative methodological approach available climate variables effectively model evapotranspiration climate variables available variables xlink "> study raises study aims significant advancement results showed potentially suitable evapotranspiration modelling direct effects developing nations causal relationship air pressure |
| dc.title.none.fl_str_mv | Schematic diagram of random forest algorithm. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <div><p>For flood-prone, developing nations where hydrological data is scarce, an innovative methodological approach is essential. This study aims to explore the potentiality of modelling daily evapotranspiration time series by checking causal relationship among the available climate variables in a flood-prone, data-deficient region like Samar in the Philippines. First, to verify if the available variables (rainfall, air pressure and the four (4) Niño Sea Surface Temperature (SST) Indices) have direct effects to evapotranspiration, a causality test called Convergent Cross-Mapping (CCM) was used. Interestingly, only the Niño SST indices and air pressure were found to have direct effects. Results showed that air pressure and the four (4) Niño SST Indices when combined with Non-Linear Autoregressive Exogenous (NARX) method, can effectively model evapotranspiration. This study raises a significant advancement in evapotranspiration modelling as it is the first to model and pinpoint the potentiality of causal relationship of air pressure and the four (4) Niño SST Indices to daily evapotranspiration time series. This method is found to be potentially suitable for disaster-prone regions where hydrological data is limited.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_b282a61ef450ecef5b4e3bda3d9d5947 |
| identifier_str_mv | 10.1371/journal.pone.0318675.s003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28383461 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Schematic diagram of random forest algorithm.Imee V. Necesito (12749885)Junhyeong Lee (288025)Kyunghun Kim (725182)Yujin Kang (9964968)Feng Quan (11907179)Soojun Kim (12749897)Hung Soo Kim (12749900)BiotechnologyEcologyInorganic ChemistryScience PolicyBiological Sciences not elsewhere classifiedsea surface temperatureni &# 241linear autoregressive exogenousinnovative methodological approachavailable climate variableseffectively model evapotranspirationclimate variablesavailable variablesxlink ">study raisesstudy aimssignificant advancementresults showedpotentially suitableevapotranspiration modellingdirect effectsdeveloping nationscausal relationshipair pressure<div><p>For flood-prone, developing nations where hydrological data is scarce, an innovative methodological approach is essential. This study aims to explore the potentiality of modelling daily evapotranspiration time series by checking causal relationship among the available climate variables in a flood-prone, data-deficient region like Samar in the Philippines. First, to verify if the available variables (rainfall, air pressure and the four (4) Niño Sea Surface Temperature (SST) Indices) have direct effects to evapotranspiration, a causality test called Convergent Cross-Mapping (CCM) was used. Interestingly, only the Niño SST indices and air pressure were found to have direct effects. Results showed that air pressure and the four (4) Niño SST Indices when combined with Non-Linear Autoregressive Exogenous (NARX) method, can effectively model evapotranspiration. This study raises a significant advancement in evapotranspiration modelling as it is the first to model and pinpoint the potentiality of causal relationship of air pressure and the four (4) Niño SST Indices to daily evapotranspiration time series. This method is found to be potentially suitable for disaster-prone regions where hydrological data is limited.</p></div>2025-02-10T18:28:55ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0318675.s003https://figshare.com/articles/figure/Schematic_diagram_of_random_forest_algorithm_/28383461CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/283834612025-02-10T18:28:55Z |
| spellingShingle | Schematic diagram of random forest algorithm. Imee V. Necesito (12749885) Biotechnology Ecology Inorganic Chemistry Science Policy Biological Sciences not elsewhere classified sea surface temperature ni &# 241 linear autoregressive exogenous innovative methodological approach available climate variables effectively model evapotranspiration climate variables available variables xlink "> study raises study aims significant advancement results showed potentially suitable evapotranspiration modelling direct effects developing nations causal relationship air pressure |
| status_str | publishedVersion |
| title | Schematic diagram of random forest algorithm. |
| title_full | Schematic diagram of random forest algorithm. |
| title_fullStr | Schematic diagram of random forest algorithm. |
| title_full_unstemmed | Schematic diagram of random forest algorithm. |
| title_short | Schematic diagram of random forest algorithm. |
| title_sort | Schematic diagram of random forest algorithm. |
| topic | Biotechnology Ecology Inorganic Chemistry Science Policy Biological Sciences not elsewhere classified sea surface temperature ni &# 241 linear autoregressive exogenous innovative methodological approach available climate variables effectively model evapotranspiration climate variables available variables xlink "> study raises study aims significant advancement results showed potentially suitable evapotranspiration modelling direct effects developing nations causal relationship air pressure |