UMR IGE

Institute of Environmental Geosciences

The research unit IGE is one of the main laboratories of the Observatory of Sciences of the Universe from Grenoble. The IGE conducts research on climate, the water cycle, the cryosphere, and natural and man-made environments. This research aims to better understand the processes that govern the functioning of different geophysical environments.

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11 to 20 of 68 Results

Dongnai_waterlevel_MAGE-Q.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 11.8 MB - 34 Variables, 57552 Observations - UNF:6:j5T6Ivu3XFH4wvqUf/zWJA== DataTime Series Water level output [m] for the Dongnai River from MAGE-Q.
Saigon_discharge_MAGE-HQ.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 33.5 MB - 72 Variables, 57552 Observations - UNF:6:Iu7S0rjiaLUqbLPBa9msow== DataTime Series Water discharge output [m^3/s] for the Saigon River from MAGE-HQ.
Saigon_discharge_MAGE-H.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 32.7 MB - 72 Variables, 57552 Observations - UNF:6:43+YNgykvWwikiJracPKoQ== DataTime Series Water discharge output [m^3/s] for the Saigon River from MAGE-H.
Saigon_discharge_MAGE-Q.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 34.0 MB - 72 Variables, 57552 Observations - UNF:6:EFAqBqNGNSXdAyNiRIs8gg== DataTime Series Water discharge output [m^3/s] for the Saigon River from MAGE-Q.
Saigon_discharge_MS-MAGE-HQ.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 7.2 MB - 7 Variables, 57551 Observations - UNF:6:q+YVHgaDrIoTUyZPdHRfZw== DataTime Series Water discharge output [m^3/s] for the Saigon River from MS<-MAGE-HQ.
Saigon_discharge_MS-MAGE-H.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 7.2 MB - 7 Variables, 57551 Observations - UNF:6:ew3NLrYuV1j0g6EWdefTJQ== DataTime Series Water discharge output [m^3/s] for the Saigon River from MS<-MAGE-H.
Saigon_waterlevel_MAGE-HQ.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 24.4 MB - 73 Variables, 57552 Observations - UNF:6:LTusVBtgq37fioxTtBLGhg== DataTime Series Water level output [m] for the Saigon River from MAGE-HQ.
Saigon_waterlevel_MAGE-H.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 24.4 MB - 73 Variables, 57552 Observations - UNF:6:VT20e9YPZehaB5jxvgDzrw== DataTime Series Water level output [m] for the Saigon River from MAGE-H.
Saigon_waterlevel_MAGE-Q.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 24.4 MB - 73 Variables, 57552 Observations - UNF:6:NWdIiyKFgQqpWHvIbkgACw== DataTime Series Water level output [m] for the Saigon River from MAGE-Q.
Water transit time tracing model using wetness adaptive StorAge Selection functions Jun 20, 2023 Hachgenei, Nico; Nord, Guillaume; Spadini, Lorenzo; Ginot, Patrick; Voiron, Céline; Duwig, Céline, 2023, "Water transit time tracing model using wetness adaptive StorAge Selection functions", https://doi.org/10.57745/OT1IFB, Recherche Data Gouv A model using StorAge Selection (SAS) functions in order to estimate water transit time distributions through a mesoscale catchment under Mediterranean climate, prone to flash floods. This dataset contains the model code, forcing data as well as results of a sensitivity analysis.... This dataset is harvested from another repository. The link will take you directly to the source of the data.

Dongnai_waterlevel_MAGE-Q.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 11.8 MB - 34 Variables, 57552 Observations -

DataTime Series

Water level output [m] for the Dongnai River from MAGE-Q.

Saigon_discharge_MAGE-HQ.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 33.5 MB - 72 Variables, 57552 Observations -

DataTime Series

Water discharge output [m^3/s] for the Saigon River from MAGE-HQ.

Saigon_discharge_MAGE-H.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 32.7 MB - 72 Variables, 57552 Observations -

DataTime Series

Water discharge output [m^3/s] for the Saigon River from MAGE-H.

Saigon_discharge_MAGE-Q.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 34.0 MB - 72 Variables, 57552 Observations -

DataTime Series

Water discharge output [m^3/s] for the Saigon River from MAGE-Q.

Saigon_discharge_MS-MAGE-HQ.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 7.2 MB - 7 Variables, 57551 Observations -

DataTime Series

Water discharge output [m^3/s] for the Saigon River from MS<-MAGE-HQ.

Saigon_discharge_MS-MAGE-H.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 7.2 MB - 7 Variables, 57551 Observations -

DataTime Series

Water discharge output [m^3/s] for the Saigon River from MS<-MAGE-H.

Saigon_waterlevel_MAGE-HQ.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 24.4 MB - 73 Variables, 57552 Observations -

DataTime Series

Water level output [m] for the Saigon River from MAGE-HQ.

Saigon_waterlevel_MAGE-H.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 24.4 MB - 73 Variables, 57552 Observations -

DataTime Series

Water level output [m] for the Saigon River from MAGE-H.

Saigon_waterlevel_MAGE-Q.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 24.4 MB - 73 Variables, 57552 Observations -

DataTime Series

Water level output [m] for the Saigon River from MAGE-Q.

Water transit time tracing model using wetness adaptive StorAge Selection functions

Jun 20, 2023

Hachgenei, Nico; Nord, Guillaume; Spadini, Lorenzo; Ginot, Patrick; Voiron, Céline; Duwig, Céline, 2023, "Water transit time tracing model using wetness adaptive StorAge Selection functions", https://doi.org/10.57745/OT1IFB, Recherche Data Gouv

A model using StorAge Selection (SAS) functions in order to estimate water transit time distributions through a mesoscale catchment under Mediterranean climate, prone to flash floods. This dataset contains the model code, forcing data as well as results of a sensitivity analysis....

This dataset is harvested from another repository. The link will take you directly to the source of the data.

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