Violin plot illustrating the comparison between observed and simulated Runoff.
<p>Violin plot illustrating the comparison between observed and simulated Runoff.</p>
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2025
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| _version_ | 1852020057312329728 |
|---|---|
| author | Mohammed Majeed Hameed (14053535) |
| author2 | Adil Masood (14053526) Aadil hamid (21417847) Ahmed Elbeltagi (10149420) Siti Fatin Mohd Razali (14053529) Ali Salem (2967900) |
| author2_role | author author author author author |
| author_facet | Mohammed Majeed Hameed (14053535) Adil Masood (14053526) Aadil hamid (21417847) Ahmed Elbeltagi (10149420) Siti Fatin Mohd Razali (14053529) Ali Salem (2967900) |
| author_role | author |
| dc.creator.none.fl_str_mv | Mohammed Majeed Hameed (14053535) Adil Masood (14053526) Aadil hamid (21417847) Ahmed Elbeltagi (10149420) Siti Fatin Mohd Razali (14053529) Ali Salem (2967900) |
| dc.date.none.fl_str_mv | 2025-05-23T20:03:53Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0321008.g009 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Violin_plot_illustrating_the_comparison_between_observed_and_simulated_Runoff_/29142028 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified willmott index (< support societies impacted novel statistical method inform sustainable practices extreme gradient boosting detecting turning points complex hydrological processes 2016 – 2021 2002 – 2015 obtaining forecasting improvements glacierized catchments affected study also found xgboost model achieves forecasting monthly runoff div >< p ahead runoff forecasting forecasting models glacierized catchment study ’ study focuses runoff data water management term memory significant autocorrelation remaining data random forest providing insights may hinder lotschental catchment long short flood control deep learning climate change best accuracy 554 m³ |
| dc.title.none.fl_str_mv | Violin plot illustrating the comparison between observed and simulated Runoff. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Violin plot illustrating the comparison between observed and simulated Runoff.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_3807cc866b8dfaad00a3d1486cc85ee4 |
| identifier_str_mv | 10.1371/journal.pone.0321008.g009 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29142028 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Violin plot illustrating the comparison between observed and simulated Runoff.Mohammed Majeed Hameed (14053535)Adil Masood (14053526)Aadil hamid (21417847)Ahmed Elbeltagi (10149420)Siti Fatin Mohd Razali (14053529)Ali Salem (2967900)MedicineEcologyScience PolicyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedwillmott index (<support societies impactednovel statistical methodinform sustainable practicesextreme gradient boostingdetecting turning pointscomplex hydrological processes2016 – 20212002 – 2015obtaining forecasting improvementsglacierized catchments affectedstudy also foundxgboost model achievesforecasting monthly runoffdiv >< pahead runoff forecastingforecasting modelsglacierized catchmentstudy ’study focusesrunoff datawater managementterm memorysignificant autocorrelationremaining datarandom forestproviding insightsmay hinderlotschental catchmentlong shortflood controldeep learningclimate changebest accuracy554 m³<p>Violin plot illustrating the comparison between observed and simulated Runoff.</p>2025-05-23T20:03:53ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0321008.g009https://figshare.com/articles/figure/Violin_plot_illustrating_the_comparison_between_observed_and_simulated_Runoff_/29142028CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/291420282025-05-23T20:03:53Z |
| spellingShingle | Violin plot illustrating the comparison between observed and simulated Runoff. Mohammed Majeed Hameed (14053535) Medicine Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified willmott index (< support societies impacted novel statistical method inform sustainable practices extreme gradient boosting detecting turning points complex hydrological processes 2016 – 2021 2002 – 2015 obtaining forecasting improvements glacierized catchments affected study also found xgboost model achieves forecasting monthly runoff div >< p ahead runoff forecasting forecasting models glacierized catchment study ’ study focuses runoff data water management term memory significant autocorrelation remaining data random forest providing insights may hinder lotschental catchment long short flood control deep learning climate change best accuracy 554 m³ |
| status_str | publishedVersion |
| title | Violin plot illustrating the comparison between observed and simulated Runoff. |
| title_full | Violin plot illustrating the comparison between observed and simulated Runoff. |
| title_fullStr | Violin plot illustrating the comparison between observed and simulated Runoff. |
| title_full_unstemmed | Violin plot illustrating the comparison between observed and simulated Runoff. |
| title_short | Violin plot illustrating the comparison between observed and simulated Runoff. |
| title_sort | Violin plot illustrating the comparison between observed and simulated Runoff. |
| topic | Medicine Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified willmott index (< support societies impacted novel statistical method inform sustainable practices extreme gradient boosting detecting turning points complex hydrological processes 2016 – 2021 2002 – 2015 obtaining forecasting improvements glacierized catchments affected study also found xgboost model achieves forecasting monthly runoff div >< p ahead runoff forecasting forecasting models glacierized catchment study ’ study focuses runoff data water management term memory significant autocorrelation remaining data random forest providing insights may hinder lotschental catchment long short flood control deep learning climate change best accuracy 554 m³ |