Satellite-based remote sensing data set of global surface water storage change from 1992 to 2018

Tortini, Riccardo; Noujdina, Nina; Yeo, Samantha; Ricko, Martina; Birkett, Charon M.; Khandelwal, Ankush; Kumar, Vipin; Marlier, Miriam E.; Lettenmaier, Dennis P.

doi:https://doi.org/10.5194/essd-12-1141-2020

Articles | Volume 12, issue 2

https://doi.org/10.5194/essd-12-1141-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-12-1141-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 2

Data description paper

|

19 May 2020

Data description paper |

| 19 May 2020

Satellite-based remote sensing data set of global surface water storage change from 1992 to 2018

Riccardo Tortini, Nina Noujdina, Samantha Yeo, Martina Ricko, Charon M. Birkett, Ankush Khandelwal, Vipin Kumar, Miriam E. Marlier, and Dennis P. Lettenmaier

Data sets

Pre SWOT Hydrology Global Lake/Reservoir Surface Inland Water Height GREALM V.2 C. M. Birkett, M. Ricko, and X. Yang https://doi.org/10.5067/UCLRS-GREV2

Pre SWOT Hydrology Global Lake/Reservoir Surface Inland Water Area Extent V2 A. Khandelwal and V. Kumar https://doi.org/10.5067/UCLRS-AREV2

Pre SWOT Hydrology Global Lake/Reservoir Storage Time Series V2 R. Tortini, N. Noujdina, S. Yeo, A. Khandelwal, V. Kumar, C. M. Birkett, M. Ricko, X. Yang, and D. P. Lettenmaier https://doi.org/10.5067/UCLRS-STOV2

Short summary

We present a global collection of satellite-derived time series of surface water volume changes for 347 lakes and reservoirs for 1992–2018. These changes were estimated using a statistical relationship between water surface elevation and area measured from satellite, even during periods when either elevation or area was not available. These records represent the most complete global surface water time series, and they are of fundamental importance to baseline future satellite missions.