https://csdms.colorado.edu/csdms_wiki/api.php?action=feedcontributions&feedformat=atom&user=Doidowu 2026-05-01T00:56:41Z User contributions MediaWiki 1.44.2 https://csdms.colorado.edu/csdms_wiki/index.php?title=2023_CSDMS_meeting-014&diff=436821 2023-05-16T14:01:20Z

<p>Doidowu: </p> <hr /> <div>{{CSDMS meeting personal information template-2023<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2023<br /> |CSDMS_meeting_select_clinics1_2023=1) What can CSDMS do for you? A clinic on CSDMS Products and Services<br /> }}<br /> {{CSDMS meeting select clinics2 2023<br /> |CSDMS_meeting_select_clinics2_2023=1) Introduction to Landlab<br /> }}<br /> {{CSDMS meeting select clinics3 2023<br /> |CSDMS_meeting_select_clinics3_2023=1) How to Route Flow in a Landscape with Landlab?<br /> }}<br /> {{CSDMS meeting abstract yes no 2023<br /> |CSDMS meeting abstract submit 2023=Yes<br /> }}<br /> {{CSDMS meeting abstract poster Epub 2023<br /> |CSDMS meeting poster Epub submit 2023=Poster<br /> }}<br /> {{CSDMS meeting abstract title temp2023<br /> |CSDMS meeting abstract title=Hydrological Characterization of the Nigeria’s 2012 and 2022 Floods using the<br /> Floodwater Depth Estimation Tool (FwDETv2.0).<br /> |Working_group_member_WG_FRG=Terrestrial Working Group, Hydrology Focus Research Group<br /> }}<br /> {{CSDMS meeting authors template<br /> |CSDMS meeting coauthor first name abstract=Elizabeth<br /> |CSDMS meeting coauthor last name abstract=Carter<br /> |CSDMS meeting coauthor institute / Organization=Syracuse University<br /> |CSDMS meeting coauthor town-city=Syracuse<br /> |CSDMS meeting coauthor country=United States<br /> |State=New York<br /> |CSDMS meeting coauthor email address=ekcarter@syr.edu<br /> }}<br /> {{CSDMS meeting authors template<br /> |CSDMS meeting coauthor first name abstract=Brad<br /> |CSDMS meeting coauthor last name abstract=Peter<br /> |CSDMS meeting coauthor institute / Organization=University of Arkansas<br /> |CSDMS meeting coauthor town-city=Fayetteville<br /> |CSDMS meeting coauthor country=United States<br /> |State=Arkansas<br /> |CSDMS meeting coauthor email address=bradp@uark.edu<br /> }}<br /> {{CSDMS meeting authors template<br /> |CSDMS meeting coauthor first name abstract=Jessica<br /> |CSDMS meeting coauthor last name abstract=Boakye<br /> |CSDMS meeting coauthor institute / Organization=University of Massachusetts Amherst<br /> |CSDMS meeting coauthor town-city=Amherst<br /> |CSDMS meeting coauthor country=United States<br /> |State=Massachusetts<br /> |CSDMS meeting coauthor email address=jboakye@umass.edu<br /> }}<br /> {{CSDMS meeting authors template<br /> |CSDMS meeting coauthor first name abstract=Sagy<br /> |CSDMS meeting coauthor last name abstract=Cohen<br /> |CSDMS meeting coauthor institute / Organization=The University of Alabama, Tuscaloosa<br /> |CSDMS meeting coauthor town-city=Tuscaloosa<br /> |CSDMS meeting coauthor country=United States<br /> |State=Alabama<br /> |CSDMS meeting coauthor email address=sagy.cohen@ua.edu<br /> }}<br /> {{CSDMS meeting abstract template 2023<br /> |CSDMS meeting abstract=Globally, the occurrence of extreme hydrologic events such as flooding is known to be the widespread aftermath of torrential rain and the impacts are adverse and devastating in built areas with proximity to water bodies. An example is the 2012 and 2022 flooding along the Niger and Benue rivers in Nigeria. While Nigeria experiences seasonal flooding during the rainy season, the decadal interval between these two catastrophic flood events and the similarities between the natural and anthropogenic conditions responsible for their occurrence prompted this study. Additionally, some hydrologic characteristics and attributes of these flood events are yet to be evaluated. Hence, for the 2012 and 2022 floods, we estimated and compared the floodwater depths at different sections of the Niger and Benue Rivers using the Floodwater Depth Estimation Tool (FwDETv2.0 and FwDETv2.1) implemented in Google Earth Engine, Jupyter Notebook, and ArcGIS Pro. Since this algorithm requires minimal input (flood inundation map and Digital Elevation Model) which favors data-sparse regions such as Nigeria, the potential for the FwDET tool to automatically quantify flood water depths, an important variable in flood intensity estimation was assessed. This tool could be invaluable in flood management and mitigation studies along the rivers.<br /> }}<br /> {{CSDMS meeting abstract figures<br /> |CSDMS meeting abstract figure=CSDMS 2023 up.pdf<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=File:CSDMS_2023_up.pdf&diff=436820 2023-05-16T14:00:30Z

<p>Doidowu: </p> <hr /> <div></div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=2023_CSDMS_meeting-014&diff=436819 2023-05-16T13:59:26Z

<p>Doidowu: </p> <hr /> <div>{{CSDMS meeting personal information template-2023<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2023<br /> |CSDMS_meeting_select_clinics1_2023=1) What can CSDMS do for you? A clinic on CSDMS Products and Services<br /> }}<br /> {{CSDMS meeting select clinics2 2023<br /> |CSDMS_meeting_select_clinics2_2023=1) Introduction to Landlab<br /> }}<br /> {{CSDMS meeting select clinics3 2023<br /> |CSDMS_meeting_select_clinics3_2023=1) How to Route Flow in a Landscape with Landlab?<br /> }}<br /> {{CSDMS meeting abstract yes no 2023<br /> |CSDMS meeting abstract submit 2023=Yes<br /> }}<br /> {{CSDMS meeting abstract poster Epub 2023<br /> |CSDMS meeting poster Epub submit 2023=Poster<br /> }}<br /> {{CSDMS meeting abstract title temp2023<br /> |CSDMS meeting abstract title=Hydrological Characterization of the Nigeria’s 2012 and 2022 Floods using the<br /> Floodwater Depth Estimation Tool (FwDETv2.0).<br /> |Working_group_member_WG_FRG=Marine Working Group, Terrestrial Working Group, Hydrology Focus Research Group<br /> }}<br /> {{CSDMS meeting authors template<br /> |CSDMS meeting coauthor first name abstract=Elizabeth<br /> |CSDMS meeting coauthor last name abstract=Carter<br /> |CSDMS meeting coauthor institute / Organization=Syracuse University<br /> |CSDMS meeting coauthor town-city=Syracuse<br /> |CSDMS meeting coauthor country=United States<br /> |State=New York<br /> |CSDMS meeting coauthor email address=ekcarter@syr.edu<br /> }}<br /> {{CSDMS meeting authors template<br /> |CSDMS meeting coauthor first name abstract=Brad<br /> |CSDMS meeting coauthor last name abstract=Peter<br /> |CSDMS meeting coauthor institute / Organization=University of Arkansas<br /> |CSDMS meeting coauthor town-city=Fayetteville<br /> |CSDMS meeting coauthor country=United States<br /> |State=Arkansas<br /> |CSDMS meeting coauthor email address=bradp@uark.edu<br /> }}<br /> {{CSDMS meeting authors template<br /> |CSDMS meeting coauthor first name abstract=Jessica<br /> |CSDMS meeting coauthor last name abstract=Boakye<br /> |CSDMS meeting coauthor institute / Organization=University of Massachusetts Amherst<br /> |CSDMS meeting coauthor town-city=Amherst<br /> |CSDMS meeting coauthor country=United States<br /> |State=Massachusetts<br /> |CSDMS meeting coauthor email address=jboakye@umass.edu<br /> }}<br /> {{CSDMS meeting authors template<br /> |CSDMS meeting coauthor first name abstract=Sagy<br /> |CSDMS meeting coauthor last name abstract=Cohen<br /> |CSDMS meeting coauthor institute / Organization=The University of Alabama, Tuscaloosa<br /> |CSDMS meeting coauthor town-city=Tuscaloosa<br /> |CSDMS meeting coauthor country=United States<br /> |State=Alabama<br /> |CSDMS meeting coauthor email address=sagy.cohen@ua.edu<br /> }}<br /> {{CSDMS meeting abstract template 2023<br /> |CSDMS meeting abstract=Globally, the occurrence of extreme hydrologic events such as flooding is known to be the widespread aftermath of torrential rain and the impacts are adverse and devastating in built areas with proximity to water bodies. An example is the 2012 and 2022 flooding along the Niger and Benue rivers in Nigeria. While Nigeria experiences seasonal flooding during the rainy season, the decadal interval between these two catastrophic flood events and the similarities between the natural and anthropogenic conditions responsible for their occurrence prompted this study. Additionally, some hydrologic characteristics and attributes of these flood events are yet to be evaluated. Hence, for the 2012 and 2022 floods, we estimated and compared the floodwater depths at different sections of the Niger and Benue Rivers using the Floodwater Depth Estimation Tool (FwDETv2.0 and FwDETv2.1) implemented in Google Earth Engine, Jupyter Notebook, and ArcGIS Pro. Since this algorithm requires minimal input (flood inundation map and Digital Elevation Model) which favors data-sparse regions such as Nigeria, the potential for the FwDET tool to automatically quantify flood water depths, an important variable in flood intensity estimation was assessed. This tool could be invaluable in flood management and mitigation studies along the rivers.<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=2023_CSDMS_meeting-014&diff=436651 2023-04-11T21:12:45Z

<p>Doidowu: </p> <hr /> <div>{{CSDMS meeting personal information template-2023<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2023<br /> |CSDMS_meeting_select_clinics1_2023=1) What can CSDMS do for you? A clinic on CSDMS Products and Services<br /> }}<br /> {{CSDMS meeting select clinics2 2023<br /> |CSDMS_meeting_select_clinics2_2023=1) Introduction to Landlab<br /> }}<br /> {{CSDMS meeting select clinics3 2023<br /> |CSDMS_meeting_select_clinics3_2023=1) How to Route Flow in a Landscape with Landlab?<br /> }}<br /> {{CSDMS meeting abstract yes no 2023<br /> |CSDMS meeting abstract submit 2023=Yes<br /> }}<br /> {{CSDMS meeting abstract poster Epub 2023<br /> |CSDMS meeting poster Epub submit 2023=Poster<br /> }}<br /> {{CSDMS meeting abstract title temp2023<br /> |CSDMS meeting abstract title=Nigeria 2012 and 2022 Flood Depth Estimation using the Floodwater Depth Estimation Tool (FwDETv2.0).<br /> |Working_group_member_WG_FRG=Terrestrial Working Group, Hydrology Focus Research Group<br /> }}<br /> {{CSDMS meeting abstract template 2023<br /> |CSDMS meeting abstract=Globally, the occurrence of extreme hydrologic events such as flooding is known to be the widespread aftermath of torrential rain and the impacts are adverse and devastating in built areas with proximity to water bodies. An example is the 2012 and 2022 flooding along the Niger and Benue rivers in Nigeria. While Nigeria experiences seasonal flooding during the rainy season, the decadal interval between these two catastrophic flood events and the similarities between the natural and anthropogenic conditions responsible for their occurrence prompted this study. Additionally, some hydrologic characteristics and attributes of these flood events are yet to be evaluated. Hence, for the 2012 and 2022 floods, we estimated and compared the floodwater depths at different sections of the Niger and Benue Rivers using the Floodwater Depth Estimation Tool (FwDETv2.0 and FwDETv2.1) implemented in Google Earth Engine, Jupyter Notebook, and ArcGIS Pro. Since this algorithm requires minimal input (flood inundation map and Digital Elevation Model) which favors data-sparse regions such as Nigeria, the potential for the FwDET tool to automatically quantify flood water depths, an important variable in flood intensity estimation was assessed. This tool could be invaluable in flood management and mitigation studies along the rivers.<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=2023_CSDMS_meeting-014&diff=436650 2023-04-11T20:28:46Z

<p>Doidowu: </p> <hr /> <div>{{CSDMS meeting personal information template-2023<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2023<br /> |CSDMS_meeting_select_clinics1_2023=1) What can CSDMS do for you? A clinic on CSDMS Products and Services<br /> }}<br /> {{CSDMS meeting select clinics2 2023<br /> |CSDMS_meeting_select_clinics2_2023=1) Introduction to Landlab<br /> }}<br /> {{CSDMS meeting select clinics3 2023<br /> |CSDMS_meeting_select_clinics3_2023=1) How to Route Flow in a Landscape with Landlab?<br /> }}<br /> {{CSDMS meeting abstract yes no 2023<br /> |CSDMS meeting abstract submit 2023=Yes<br /> }}<br /> {{CSDMS meeting abstract poster Epub 2023<br /> |CSDMS meeting poster Epub submit 2023=Poster<br /> }}<br /> {{CSDMS meeting abstract title temp2023<br /> |CSDMS meeting abstract title=Nigeria 2012 and 2022 Flood Depth Estimation using the Floodwater Depth Estimation Model (FwDETv2.0).<br /> |Working_group_member_WG_FRG=Terrestrial Working Group, Coastal Working Group, Hydrology Focus Research Group<br /> }}<br /> {{CSDMS meeting abstract template 2023<br /> |CSDMS meeting abstract=Globally, the occurrence of extreme hydrologic events such as flooding is known to be the widespread aftermath of torrential rain and the impacts are adverse and devastating in built areas with proximity to water bodies. An example is the 2012 and 2022 flooding along the Niger and Benue rivers in Nigeria. While Nigeria experiences seasonal flooding during the rainy season, the decadal interval between these two catastrophic flood events and the similarities between the natural and anthropogenic conditions responsible for their occurrence prompted this study. Additionally, some hydrologic characteristics and attributes of these flood events are yet to be evaluated. Hence, for the 2012 and 2022 floods, we estimated and compared the floodwater depths at different sections of the Niger and Benue Rivers using the Floodwater Depth Estimation Tool (FwDETv2.0 and FwDETv2.1) implemented in Google Earth Engine, Jupyter Notebook, and ArcGIS Pro. Since this algorithm requires minimal input (flood inundation map and Digital Elevation Model) which favors data-sparse regions such as Nigeria, the potential for the FwDET tool to automatically quantify flood water depths, an important variable in flood intensity estimation was assessed. This model could be invaluable in flood management and mitigation studies along the rivers.<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=2023_CSDMS_meeting-014&diff=436534 2023-03-31T16:47:31Z

<p>Doidowu: </p> <hr /> <div>{{CSDMS meeting personal information template-2023<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2023<br /> |CSDMS_meeting_select_clinics1_2023=1) What can CSDMS do for you? A clinic on CSDMS Products and Services<br /> }}<br /> {{CSDMS meeting select clinics2 2023<br /> |CSDMS_meeting_select_clinics2_2023=1) Introduction to Landlab<br /> }}<br /> {{CSDMS meeting select clinics3 2023<br /> |CSDMS_meeting_select_clinics3_2023=1) How to Route Flow in a Landscape with Landlab?<br /> }}<br /> {{CSDMS meeting abstract yes no 2023<br /> |CSDMS meeting abstract submit 2023=Yes<br /> }}<br /> {{CSDMS meeting abstract poster Epub 2023<br /> |CSDMS meeting poster Epub submit 2023=Poster<br /> }}<br /> {{CSDMS meeting abstract title temp2023<br /> |CSDMS meeting abstract title=Nigeria 2012 and 2022 Flood Depth Estimation using the Floodwater Depth Estimation Tool (FwDETv2.0).<br /> |Working_group_member_WG_FRG=Terrestrial Working Group, Coastal Working Group, Hydrology Focus Research Group<br /> }}<br /> {{CSDMS meeting abstract template 2023<br /> |CSDMS meeting abstract=Globally, the occurrence of extreme hydrologic events such as flooding is known to be the widespread aftermath of torrential rain and the impacts are adverse and devastating in built areas with proximity to water bodies. An example is the 2012 and 2022 flooding along the Niger and Benue rivers in Nigeria. While Nigeria experiences seasonal flooding during the rainy season, the decadal interval between these two catastrophic flood events and the similarities between the natural and anthropogenic conditions responsible for their occurrence prompted this study. Additionally, some hydrologic characteristics and attributes of these flood events are yet to be evaluated. Hence, for the 2012 and 2022 floods, we estimated and compared the floodwater depths at different sections of the Niger and Benue Rivers using the Floodwater Depth Estimation Tool (FwDETv2.0 and FwDETv2.1) implemented in Google Earth Engine, Jupyter Notebook, and ArcGIS Pro. Since this algorithm requires minimal input (flood inundation map and Digital Elevation Model) which favors data-sparse regions such as Nigeria, the potential for the FwDET tool to automatically quantify flood water depths, an important variable in flood intensity estimation was assessed. This tool could be invaluable in flood management and mitigation studies along the rivers.<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=2023_CSDMS_meeting-014&diff=436481 2023-03-28T16:53:14Z

<p>Doidowu: </p> <hr /> <div>{{CSDMS meeting personal information template-2023<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2023<br /> |CSDMS_meeting_select_clinics1_2023=1) What can CSDMS do for you? A clinic on CSDMS Products and Services<br /> }}<br /> {{CSDMS meeting select clinics2 2023<br /> |CSDMS_meeting_select_clinics2_2023=1) Introduction to Landlab<br /> }}<br /> {{CSDMS meeting select clinics3 2023<br /> |CSDMS_meeting_select_clinics3_2023=1) How to Route Flow in a Landscape with Landlab?<br /> }}<br /> {{CSDMS meeting abstract yes no 2023<br /> |CSDMS meeting abstract submit 2023=Yes<br /> }}<br /> {{CSDMS meeting abstract poster Epub 2023<br /> |CSDMS meeting poster Epub submit 2023=Poster<br /> }}<br /> {{CSDMS meeting abstract title temp2023<br /> |CSDMS meeting abstract title=Nigeria 2012 and 2022 Flood Depth Estimation using the Floodwater Depth Estimation Tool (FwDETv2.0).<br /> |Working_group_member_WG_FRG=Terrestrial Working Group, Hydrology Focus Research Group, Ecosystem Dynamics Focus Research Group<br /> }}<br /> {{CSDMS meeting abstract template 2023<br /> |CSDMS meeting abstract=Globally, the occurrence of extreme hydrologic events such as flooding is known to be the widespread aftermath of torrential rain and the impacts are adverse and devastating in built areas with proximity to water bodies. An example is the 2012 and 2022 flooding along the Niger and Benue rivers in Nigeria. While Nigeria experiences seasonal flooding during the rainy season, the decadal interval between these two catastrophic flood events and the similarities between the natural and anthropogenic conditions responsible for their occurrence prompted this study. Additionally, some hydrologic characteristics and attributes of these flood events are yet to be evaluated. Hence, for the 2012 and 2022 floods, we estimated and compared the floodwater depths at different sections of the Niger and Benue Rivers using the Floodwater Depth Estimation Tool (FwDETv2.0 and FwDETv2.1) implemented in Google Earth Engine, Jupyter Notebook, and ArcGIS Pro. Since this algorithm requires minimal input (flood inundation map and Digital Elevation Model) which favors data-sparse regions such as Nigeria, the potential for the FwDET tool to automatically quantify flood water depths, an important variable in flood intensity estimation was assessed. This tool could be invaluable in flood management and mitigation studies along the rivers.<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=2023_CSDMS_meeting-014&diff=436379 2023-03-16T04:06:28Z

<p>Doidowu: </p> <hr /> <div>{{CSDMS meeting personal information template-2023<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2023<br /> |CSDMS_meeting_select_clinics1_2023=1) What can CSDMS do for you? A clinic on CSDMS Products and Services<br /> }}<br /> {{CSDMS meeting select clinics2 2023<br /> |CSDMS_meeting_select_clinics2_2023=1) Introduction to Landlab<br /> }}<br /> {{CSDMS meeting select clinics3 2023<br /> |CSDMS_meeting_select_clinics3_2023=1) How to Route Flow in a Landscape with Landlab?<br /> }}<br /> {{CSDMS meeting abstract yes no 2023<br /> |CSDMS meeting abstract submit 2023=Yes<br /> }}<br /> {{CSDMS meeting abstract poster Epub 2023<br /> |CSDMS meeting poster Epub submit 2023=Poster<br /> }}<br /> {{CSDMS meeting abstract title temp2023<br /> |CSDMS meeting abstract title=Nigeria 2012 and 2022 Flood Depth Estimation using the Floodwater Depth Estimation Tool (FwDETv2.0).<br /> |Working_group_member_WG_FRG=Terrestrial Working Group, Hydrology Focus Research Group, Ecosystem Dynamics Focus Research Group<br /> }}<br /> {{CSDMS meeting abstract template 2023<br /> |CSDMS meeting abstract=Globally, the occurrence of extreme hydrologic events such as flooding is known to be the widespread aftermath of torrential rain and the impacts are adverse and devastating in built areas with proximity to water bodies. An example is the 2012 and 2022 flooding along the Niger and Benue rivers in Nigeria. While Nigeria experiences seasonal flooding during the rainy season, the decadal interval between these two catastrophic flood events and the similarities between the natural and anthropogenic conditions responsible for their occurrence prompted this study. Additionally, some characteristics and attributes of these flood events are yet to be evaluated. Hence, for the 2012 and 2022 floods, we estimated and compared the floodwater depths at different sections of the Niger and Benue Rivers using the Floodwater Depth Estimation Tool (FwDETv2.0 and FwDETv2.1) implemented in Google Earth Engine, Jupyter Notebook, and ArcGIS Pro. Since this algorithm requires minimal input (flood inundation map and Digital Elevation Model) which favors data-sparse regions such as Nigeria, the potential for the FwDET tool to automatically quantify flood water depths, an important variable in flood intensity estimation was assessed. This tool could be invaluable in flood management and mitigation studies along the rivers.<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=2023_CSDMS_meeting-014&diff=435209 2023-02-10T16:26:23Z

<p>Doidowu: </p> <hr /> <div>{{CSDMS meeting personal information template-2023<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2023<br /> |CSDMS_meeting_select_clinics1_2023=1) What can CSDMS do for you? A clinic on CSDMS Products and Services<br /> }}<br /> {{CSDMS meeting select clinics2 2023<br /> |CSDMS_meeting_select_clinics2_2023=4) Fora.ai: A participatory modeling platform for climate and social impact<br /> }}<br /> {{CSDMS meeting select clinics3 2023<br /> |CSDMS_meeting_select_clinics3_2023=1) How to Route Flow in a Landscape with Landlab?<br /> }}<br /> {{CSDMS meeting abstract yes no 2023<br /> |CSDMS meeting abstract submit 2023=Yes<br /> }}<br /> {{CSDMS meeting abstract poster Epub 2023<br /> |CSDMS meeting poster Epub submit 2023=Poster<br /> }}<br /> {{CSDMS meeting abstract title temp2023<br /> |CSDMS meeting abstract title=Nigeria 2012 and 2022 Flood Depth Estimation using the Floodwater Depth Estimation Tool (FwDETv2.0).<br /> |Working_group_member_WG_FRG=Terrestrial Working Group, Hydrology Focus Research Group, Ecosystem Dynamics Focus Research Group<br /> }}<br /> {{CSDMS meeting abstract template 2023<br /> |CSDMS meeting abstract=TBD<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=2023_CSDMS_meeting-014&diff=435208 2023-02-10T16:11:25Z

<p>Doidowu: </p> <hr /> <div>{{CSDMS meeting personal information template-2023<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2023<br /> |CSDMS_meeting_select_clinics1_2023=1) What can CSDMS do for you? A clinic on CSDMS Products and Services<br /> }}<br /> {{CSDMS meeting select clinics2 2023<br /> |CSDMS_meeting_select_clinics2_2023=4) Fora.ai: A participatory modeling platform for climate and social impact<br /> }}<br /> {{CSDMS meeting select clinics3 2023<br /> |CSDMS_meeting_select_clinics3_2023=1) How to Route Flow in a Landscape with Landlab?<br /> }}<br /> {{CSDMS meeting abstract yes no 2023<br /> |CSDMS meeting abstract submit 2023=Yes<br /> }}<br /> {{CSDMS meeting abstract poster Epub 2023<br /> |CSDMS meeting poster Epub submit 2023=Poster &amp; Epub<br /> }}<br /> {{CSDMS meeting abstract title temp2023<br /> |CSDMS meeting abstract title=Nigeria 2012 and 2022 Flood Depth Estimation using the Floodwater Depth Estimation Tool (FwDETv2.0).<br /> |Working_group_member_WG_FRG=Terrestrial Working Group, Hydrology Focus Research Group, Ecosystem Dynamics Focus Research Group<br /> }}<br /> {{CSDMS meeting abstract template 2023<br /> |CSDMS meeting abstract=TBD<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=2023_CSDMS_meeting-014&diff=435076 2023-01-28T06:35:33Z

<p>Doidowu: Created page with &quot;{{CSDMS meeting personal information template-2023 |CSDMS meeting first name=Dorcas |CSDMS meeting last name=Idowu |CSDMS meeting institute=Syracuse University |CSDMS meeting city=Syracuse |CSDMS meeting country=United States |CSDMS meeting state=New York |CSDMS meeting email address=doidowu@syr.edu |CSDMS meeting phone=7203889124 }} {{CSDMS meeting select clinics1 2023 |CSDMS_meeting_select_clinics1_2023=1) What can CSDMS do for you? A clinic on CSDMS Products and Servi...&quot;</p> <hr /> <div>{{CSDMS meeting personal information template-2023<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2023<br /> |CSDMS_meeting_select_clinics1_2023=1) What can CSDMS do for you? A clinic on CSDMS Products and Services<br /> }}<br /> {{CSDMS meeting select clinics2 2023<br /> |CSDMS_meeting_select_clinics2_2023=4) Fora.ai: A participatory modeling platform for climate and social impact<br /> }}<br /> {{CSDMS meeting select clinics3 2023<br /> |CSDMS_meeting_select_clinics3_2023=1) How to Route Flow in a Landscape with Landlab?<br /> }}<br /> {{CSDMS meeting abstract yes no 2023<br /> |CSDMS meeting abstract submit 2023=Yes<br /> }}<br /> {{CSDMS meeting abstract poster Epub 2023<br /> |CSDMS meeting poster Epub submit 2023=Poster<br /> }}<br /> {{CSDMS meeting abstract title temp2023<br /> |CSDMS meeting abstract title=TBD<br /> |Working_group_member_WG_FRG=Terrestrial Working Group, Hydrology Focus Research Group, Ecosystem Dynamics Focus Research Group<br /> }}<br /> {{CSDMS meeting abstract template 2023<br /> |CSDMS meeting abstract=TBD<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=2022_CSDMS_meeting-063&diff=417896 2022-05-16T21:17:40Z

<p>Doidowu: </p> <hr /> <div>{{CSDMS meeting personal information template-2022<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2022<br /> |CSDMS_meeting_select_clinics1_2022=4) Teaching with Jupyter NoteBooks<br /> }}<br /> {{CSDMS meeting select clinics2 2022<br /> |CSDMS_meeting_select_clinics2_2022=4) Xarray for Scalable Scientific Data Analysis<br /> }}<br /> {{CSDMS meeting select clinics3 2022<br /> |CSDMS_meeting_select_clinics3_2022=4) Publishing Reproducible Computational Research with the Whole Tale<br /> }}<br /> {{CSDMS meeting abstract yes no 2022<br /> |CSDMS meeting abstract submit=Yes<br /> }}<br /> {{CSDMS meeting abstract title temp2022<br /> |CSDMS meeting abstract title=Megacities and Climate Change: An environmental implication of Urbanization on Ten Megacities in different climatic regions.<br /> |Working_group_member_WG_FRG=Terrestrial Working Group, Coastal Working Group, Hydrology Focus Research Group<br /> }}<br /> {{CSDMS meeting authors template<br /> |CSDMS meeting coauthor first name abstract=Wendy<br /> |CSDMS meeting coauthor last name abstract=Zhou<br /> |CSDMS meeting coauthor institute / Organization=Colorado School of Mines<br /> |CSDMS meeting coauthor town-city=Golden<br /> |CSDMS meeting coauthor country=United States<br /> |State=Colorado<br /> |CSDMS meeting coauthor email address=wzhou@mines.edu<br /> }}<br /> {{CSDMS meeting authors template<br /> |CSDMS meeting coauthor first name abstract=Elizabeth<br /> |CSDMS meeting coauthor last name abstract=Carter<br /> |CSDMS meeting coauthor institute / Organization=Syracuse University<br /> |CSDMS meeting coauthor town-city=Syracuse<br /> |CSDMS meeting coauthor country=United States<br /> |State=New York<br /> |CSDMS meeting coauthor email address=ekcarter@syr.edu<br /> }}<br /> {{CSDMS meeting abstract template 2022<br /> |CSDMS meeting abstract=Globally, more people are impacted by floods than all other forms of natural disasters combined. In global megacities, defined by the United Nations as cities with a population of over ten million, increased human exposure to flooding is both ubiquitous and extremely difficult to characterize. Over the past three decades, most of these cities have experienced a gradual or very rapid growth as the global population continues to urbanize. As both urban expansion and global climate change contribute to hydrologic intensification, and as globally more people live in urban areas than rural ones, the need to assess both the drivers and magnitude of flood risk associated with rapid growth in megacities is of critical humanitarian concern. Through a multitemporal analysis (2000, 2010, and 2020) of urban growth modes and urban landscape change detection using the Landsat dataset (ETM+, OLI), we estimate the growth rates and development patterns in ten global megacities (Guangzhou, Tokyo, Lagos, Jakarta, Delhi, Manila, Mumbai, Seoul, Mexico City, New York) representing different global climate zones using machine learning. Trends in runoff magnitudes over the time period are quantified and associated with urban expansion and non-stationarity in regional historical precipitation patterns. Preliminary results showed that the ten cities have experienced major flooding within the last ten years resulting mostly as a result of heavy rainfall.<br /> }}<br /> {{CSDMS meeting abstract figures<br /> |CSDMS meeting abstract figure=Idowu CSDMS Poster.pdf<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=2022_CSDMS_meeting-063&diff=417640 2022-04-16T00:44:46Z

<p>Doidowu: </p> <hr /> <div>{{CSDMS meeting personal information template-2022<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2022<br /> |CSDMS_meeting_select_clinics1_2022=4) Teaching with Jupyter NoteBooks<br /> }}<br /> {{CSDMS meeting select clinics2 2022<br /> |CSDMS_meeting_select_clinics2_2022=4) Xarray for Scalable Scientific Data Analysis<br /> }}<br /> {{CSDMS meeting select clinics3 2022<br /> |CSDMS_meeting_select_clinics3_2022=4) Publishing Reproducible Computational Research with the Whole Tale<br /> }}<br /> {{CSDMS meeting abstract yes no 2022<br /> |CSDMS meeting abstract submit=Yes<br /> }}<br /> {{CSDMS meeting abstract title temp2022<br /> |CSDMS meeting abstract title=Megacities and Climate Change: An environmental implication of Urbanization on Ten Megacities in different climatic regions.<br /> |Working_group_member_WG_FRG=Terrestrial Working Group, Coastal Working Group, Hydrology Focus Research Group<br /> }}<br /> {{CSDMS meeting authors template<br /> |CSDMS meeting coauthor first name abstract=Wendy<br /> |CSDMS meeting coauthor last name abstract=Zhou<br /> |CSDMS meeting coauthor institute / Organization=Colorado School of Mines<br /> |CSDMS meeting coauthor town-city=Golden<br /> |CSDMS meeting coauthor country=United States<br /> |State=Colorado<br /> |CSDMS meeting coauthor email address=wzhou@mines.edu<br /> }}<br /> {{CSDMS meeting authors template<br /> |CSDMS meeting coauthor first name abstract=Elizabeth<br /> |CSDMS meeting coauthor last name abstract=Carter<br /> |CSDMS meeting coauthor institute / Organization=Syracuse University<br /> |CSDMS meeting coauthor town-city=Syracuse<br /> |CSDMS meeting coauthor country=United States<br /> |State=New York<br /> |CSDMS meeting coauthor email address=ekcarter@syr.edu<br /> }}<br /> {{CSDMS meeting abstract template 2022<br /> |CSDMS meeting abstract=Globally, more people are impacted by floods than all other forms of natural disasters combined. In global megacities, defined by the United Nations as cities with a population of over ten million, increased human exposure to flooding is both ubiquitous and extremely difficult to characterize. Over the past three decades, most of these cities have experienced a gradual or very rapid growth as the global population continues to urbanize. As both urban expansion and global climate change contribute to hydrologic intensification, and as globally more people live in urban areas than rural ones, the need to assess both the drivers and magnitude of flood risk associated with rapid growth in megacities is of critical humanitarian concern. Through a multitemporal analysis (2000, 2010, and 2020) of urban growth modes and urban landscape change detection using the Landsat dataset (ETM+, OLI), we estimate the growth rates and development patterns in ten global megacities (Guangzhou, Tokyo, Lagos, Jakarta, Delhi, Manila, Mumbai, Seoul, Mexico City, New York) representing different global climate zones using machine learning. Trends in runoff magnitudes over the time period are quantified and associated with urban expansion and non-stationarity in regional historical precipitation patterns. Preliminary results showed that the ten cities have experienced major flooding within the last ten years resulting mostly as a result of heavy rainfall.<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=2022_CSDMS_meeting-063&diff=417637 2022-04-16T00:37:46Z

<p>Doidowu: </p> <hr /> <div>{{CSDMS meeting personal information template-2022<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2022<br /> |CSDMS_meeting_select_clinics1_2022=4) Teaching with Jupyter NoteBooks<br /> }}<br /> {{CSDMS meeting select clinics2 2022<br /> |CSDMS_meeting_select_clinics2_2022=4) Xarray for Scalable Scientific Data Analysis<br /> }}<br /> {{CSDMS meeting select clinics3 2022<br /> |CSDMS_meeting_select_clinics3_2022=4) Publishing Reproducible Computational Research with the Whole Tale<br /> }}<br /> {{CSDMS meeting abstract yes no 2022<br /> |CSDMS meeting abstract submit=Yes<br /> }}<br /> {{CSDMS meeting abstract title temp2022<br /> |CSDMS meeting abstract title=Megacities and Climate Change: An environmental implication of Urbanization on Ten Megacities in different climatic regions.<br /> |Working_group_member_WG_FRG=Terrestrial Working Group, Coastal Working Group, Hydrology Focus Research Group<br /> }}<br /> {{CSDMS meeting abstract template 2022<br /> |CSDMS meeting abstract=Globally, more people are impacted by floods than all other forms of natural disasters combined. In global megacities, defined by the United Nations as cities with a population of over ten million, increased human exposure to flooding is both ubiquitous and extremely difficult to characterize. Over the past three decades, most of these cities have experienced a gradual or very rapid growth as the global population continues to urbanize. As both urban expansion and global climate change contribute to hydrologic intensification, and as globally more people live in urban areas than rural ones, the need to assess both the drivers and magnitude of flood risk associated with rapid growth in megacities is of critical humanitarian concern. Through a multitemporal analysis (2000, 2010, and 2020) of urban growth modes and urban landscape change detection using the Landsat dataset (ETM+, OLI), we estimate the growth rates and development patterns in ten global megacities (Guangzhou, Tokyo, Lagos, Jakarta, Delhi, Manila, Mumbai, Seoul, Mexico City, New York) representing different global climate zones using machine learning. Trends in runoff magnitudes over the time period are quantified and associated with urban expansion and non-stationarity in regional historical precipitation patterns. Preliminary results showed that the ten cities have experienced major flooding within the last ten years resulting mostly as a result of heavy rainfall.<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=2022_CSDMS_meeting-063&diff=415125 2022-02-24T18:27:54Z

<p>Doidowu: Created page with &quot;{{CSDMS meeting personal information template-2022 |CSDMS meeting first name=Dorcas |CSDMS meeting last name=Idowu |CSDMS meeting institute=Syracuse University |CSDMS meeting...&quot;</p> <hr /> <div>{{CSDMS meeting personal information template-2022<br /> |CSDMS meeting first name=Dorcas<br /> |CSDMS meeting last name=Idowu<br /> |CSDMS meeting institute=Syracuse University<br /> |CSDMS meeting city=Syracuse<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=New York<br /> |CSDMS meeting email address=doidowu@syr.edu<br /> |CSDMS meeting phone=7203889124<br /> }}<br /> {{CSDMS meeting select clinics1 2022<br /> |CSDMS_meeting_select_clinics1_2022=4) Teaching with Jupyter NoteBooks<br /> }}<br /> {{CSDMS meeting select clinics2 2022<br /> |CSDMS_meeting_select_clinics2_2022=4) Xarray for Scalable Scientific Data Analysis<br /> }}<br /> {{CSDMS meeting select clinics3 2022<br /> |CSDMS_meeting_select_clinics3_2022=4) Publishing Reproducible Computational Research with the Whole Tale<br /> }}<br /> {{CSDMS meeting abstract yes no 2022<br /> |CSDMS meeting abstract submit=Yes<br /> }}<br /> {{CSDMS meeting abstract title temp2022<br /> |CSDMS meeting abstract title=Megacities and Climate Change: A multivariate insight to flood drivers globally<br /> |Working_group_member_WG_FRG=Terrestrial Working Group, Coastal Working Group, Hydrology Focus Research Group<br /> }}<br /> {{CSDMS meeting abstract template 2022<br /> |CSDMS meeting abstract=TBD<br /> }}<br /> {{blank line template}}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=User:Doidowu&diff=402000 2022-02-10T17:57:04Z

<p>Doidowu: </p> <hr /> <div>{{Signup information member<br /> |First name member=Dorcas<br /> |Last name member=Idowu<br /> |Institute member=Syracuse University<br /> |Department member=Civil and Environmental Engineering<br /> |Postal address 1 member=Link hall 151<br /> |City member=Syracuse<br /> |Postal code member=13206<br /> |Country member=United States<br /> |State member=New York<br /> |Confirm email member=idowu.oluwabimpe@gmail.com<br /> |Working group member=Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Hydrology Focus Research Group, Coastal Vulnerability Initiative, Artificial Intelligence &amp; Machine Learning Initiative, River Network Modeling Initiative<br /> |Emaillist group member=yes<br /> |Description of your CSDMS-related interests member=Geohazard Mitigation<br /> |Memberagreement=I have read and agree to the Privacy Policy<br /> }}</div>

Doidowu https://csdms.colorado.edu/csdms_wiki/index.php?title=User:Doidowu&diff=345975 2021-10-26T20:51:49Z

<p>Doidowu: Created page with &quot;{{Signup information member |First name member=Dorcas |Last name member=Idowu |Institute member=Colorado School of Mines |Department member=Geology and Geological Engineering...&quot;</p> <hr /> <div>{{Signup information member<br /> |First name member=Dorcas<br /> |Last name member=Idowu<br /> |Institute member=Colorado School of Mines<br /> |Department member=Geology and Geological Engineering<br /> |Postal address 1 member=10630 west 13th Avenue<br /> |City member=Lakewood<br /> |Postal code member=80215<br /> |Country member=United States<br /> |State member=Colorado<br /> |Confirm email member=idowu.oluwabimpe@gmail.com<br /> |Working group member=Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Hydrology Focus Research Group, Coastal Vulnerability Initiative, Artificial Intelligence &amp; Machine Learning Initiative<br /> |Emaillist group member=yes<br /> |Description of your CSDMS-related interests member=Geohazard Mitigation<br /> |Memberagreement=I have read and agree to the Privacy Policy<br /> }}</div>

Doidowu