The MARINE (Model of Anticipation of Runoff and INundations for Extreme events) hydrological model is a distributed model dedicated to flash flood simulation. Recent developments of the MARINE model are explored in this work. On one hand, transfers of water through the subsurface, formerly relying on water height, now take place in a homogeneous soil column based on the soil saturation degree (SSF model). On the other hand, the soil column is divided into two layers, which represent, respectively, the upper soil layer and the deep weathered rocks (SSF-DWF model). The aim of the present work is to assess the accuracy of these new representations for the simulation of soil moisture during flash flood events. An exploration of the various products available in the literature for soil moisture estimation is performed. The efficiency of the models for soil saturation degree simulation is estimated with respect to several products either at the local scale or spatially distributed: (i) the gridded soil moisture product provided by the operational modeling chain SAFRAN-ISBA-MODCOU; (ii) the gridded soil moisture product provided by the LDAS-Monde assimilation chain, which is based on the ISBA-A-gs land surface model and assimilating satellite derived data; (iii) the upper soil water content hourly measurements taken from the SMOSMANIA observation network; and (iv) the Soil Water Index provided by the Copernicus Global Land Service (CGLS), which is derived from Sentinel-1 C-SAR and ASCAT satellite data. The case study is performed over two French Mediterranean catchments impacted by flash flood events over the 2017-2019 period. The local comparison of the MARINE outputs with the SMOSMANIA measurements, as well as the comparison at the basin scale of the MARINE outputs with the gridded LDAS-Monde and CGLS data, lead to the following conclusion: both the dynamics and the amplitudes of the soil saturation degree simulated with the SSF and SSF-DWF models are better correlated with both the SMOSMANIA measurements and the LDAS-Monde data than the outputs of the base model. Finally, the soil saturation degree simulated by the two-layers model for the deep layer is compared to the soil saturation degree provided by the LDAS-Monde product at corresponding depths. In conclusion, the developments presented for the representation of subsurface flow in the MARINE model enhance the soil saturation degree simulation during flash floods with respect to both gridded data and local soil moisture measurements.
Custom Dataset Terms
Use email button above to contact.
Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.
Custom Dataset Terms - the following Custom Dataset Terms have been defined for this dataset.
This file has already been deleted (or replaced) in the current version. It may not be edited.
Restricting limits access to published files. People who want to use the restricted files can request access by default. If you disable request access, you must add information about access to the Terms of Access field.
The selected file or files have already been published. Contact an administrator to change the embargo date or reason of the file or files.
The selected file or files have already been published. Contact an administrator to change the retention period date or reason of the file or files.
The file will be deleted after you click on the Delete button.
Files will not be removed from previously published versions of the dataset.
Please select one or more files.
Share this dataset on your favorite social media networks.
Citations for this dataset are retrieved from Crossref via DataCite using Make Data Count standards. For more information about dataset metrics, please refer to the User Guide.
The selected file(s) may not be downloaded because you have not been granted access or the file(s) have a retention period that has expired or the files can only be transferred via Globus.
You may request access to any restricted file(s) by clicking the Request Access button.
The selected file(s) may not be transferred because you have not been granted access or the file(s) have a retention period that has expired or the files are not Globus accessible.
The files selected are too large to download as a ZIP.
You can select individual files that are below the 100.0 MB download limit from the files table, or use the Data Access API for programmatic access to the files.
Please select a file or files to be downloaded.
The selected file(s) may not be downloaded because you have not been granted access or the file(s) have a retention period that has expired.
Click Continue to download the files you have access to download.
Some file(s) cannot be transferred. (They are restricted, embargoed, with an expired retention period, or not Globus accessible.)
Click Continue to transfer the elligible files.
Are you sure you want to delete this dataset and all of its files? You cannot undelete this dataset.
Are you sure you want to delete this draft version? Files will be reverted to the most recently published version. You cannot undelete this draft.
Preview URL can only be used with unpublished versions of datasets.
Are you sure you want to disable the Preview URL? If you have shared the Preview URL with others they will no longer be able to use it to access your unpublished dataset.
The file(s) will be deleted after you click on the Delete button.
This dataset contains restricted files you may not compute on because you have not been granted access.
Are you sure you want to deaccession? This is permanent and the selected version(s) will no longer be viewable by the public.
Are you sure you want to deaccession this dataset? This is permanent an it will no longer be viewable by the public.
Please select two versions to view the differences.
Please select a file or files for access request.
Embargoed files cannot be accessed. Please select an unembargoed file or files for your access request.
Select existing file tags or create new tags to describe your files. Each file can have more than one tag.
You need to Log In to request access.
Please confirm and/or complete the information needed below in order to request access to files in this dataset.
This dataset is made available under the following terms. Please confirm and/or complete the information needed below in order to continue.
Upon downloading files the guestbook asks for the following information.
Account Information
Use the Download URL in a Wget command or a download manager to download this package file. Download via web browser is not recommended. User Guide - Downloading a Dataverse Package via URL
https://lore.list.lu/api/access/datafile/
You will not be able to make changes to this dataset while it is in review.
Are you sure you want to republish this dataset?
Select if this is a minor or major version update.
This dataset cannot be published until LIST Open Repository is published by its administrator.
Return this dataset to contributor for modification. The reason for return entered below will be sent by email to the author.
LIST Open Repository Support
Please fill this out to prove you are not a robot.
