Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-3331-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-3331-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Jun 2020
Research article |
| 30 Jun 2020
| 30 Jun 2020
Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region
Petra Hulsman
CORRESPONDING AUTHOR
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Hessel C. Winsemius
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Claire I. Michailovsky
IHE Delft Institute for Water Education, Westvest 7, 2611 AX Delft, the Netherlands
Hubert H. G. Savenije
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Markus Hrachowitz
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Viewed
Total article views: 2,814 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Sep 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,926 | 836 | 52 | 2,814 | 267 | 59 | 54 |
- HTML: 1,926
- PDF: 836
- XML: 52
- Total: 2,814
- Supplement: 267
- BibTeX: 59
- EndNote: 54
Total article views: 1,919 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Jun 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,380 | 497 | 42 | 1,919 | 146 | 39 | 38 |
- HTML: 1,380
- PDF: 497
- XML: 42
- Total: 1,919
- Supplement: 146
- BibTeX: 39
- EndNote: 38
Total article views: 895 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Sep 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 546 | 339 | 10 | 895 | 121 | 20 | 16 |
- HTML: 546
- PDF: 339
- XML: 10
- Total: 895
- Supplement: 121
- BibTeX: 20
- EndNote: 16
Viewed (geographical distribution)
Total article views: 2,814 (including HTML, PDF, and XML)
Thereof 2,422 with geography defined
and 392 with unknown origin.
Total article views: 1,919 (including HTML, PDF, and XML)
Thereof 1,788 with geography defined
and 131 with unknown origin.
Total article views: 895 (including HTML, PDF, and XML)
Thereof 634 with geography defined
and 261 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
14 citations as recorded by crossref.
- Using normalised difference infrared index patterns to constrain semi-distributed rainfall–runoff models in tropical nested catchments N. Sriwongsitanon et al. 10.5194/hess-27-2149-2023
- Improving the Representation of Long‐Term Storage Variations With Conceptual Hydrological Models in Data‐Scarce Regions P. Hulsman et al. 10.1029/2020WR028837
- Satellite-based drought analysis in the Zambezi River Basin: Was the 2019 drought the most extreme in several decades as locally perceived? P. Hulsman et al. 10.1016/j.ejrh.2021.100789
- Reduction of vegetation-accessible water storage capacity after deforestation affects catchment travel time distributions and increases young water fractions in a headwater catchment M. Hrachowitz et al. 10.5194/hess-25-4887-2021
- Discharge Estimation Using Integrated Satellite Data and Hybrid Model in the Midstream Yangtze River J. Xiong et al. 10.3390/rs13122272
- High effectiveness of GRACE data in daily-scale flood modeling: case study in the Xijiang River Basin, China J. Xiong et al. 10.1007/s11069-022-05312-z
- Flow regime changes in the Lancang River, revealed by integrated modeling with multiple Earth observation datasets X. Zhang et al. 10.1016/j.scitotenv.2022.160656
- Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement P. Hulsman et al. 10.5194/hess-25-957-2021
- Behind the scenes of streamflow model performance L. Bouaziz et al. 10.5194/hess-25-1069-2021
- Ecosystem adaptation to climate change: the sensitivity of hydrological predictions to time-dynamic model parameters L. Bouaziz et al. 10.5194/hess-26-1295-2022
- On the Performance of Sentinel‐3 Altimetry Over New Reservoirs: Approaches to Determine Onboard A Priori Elevation X. Zhang et al. 10.1029/2020GL088770
- Water Resources in Africa: The Role of Earth Observation Data and Hydrodynamic Modeling to Derive River Discharge A. Tarpanelli et al. 10.1007/s10712-022-09744-x
- Assessing changes in total water storage in two large freshwater lake basins of China D. Zhang et al. 10.1002/hyp.14556
- A framework to assess future water-resource under climate change in northern Morocco using hydro-climatic modelling and water-withdrawal scenarios Y. Hrour et al. 10.1016/j.ejrh.2023.101465
14 citations as recorded by crossref.
- Using normalised difference infrared index patterns to constrain semi-distributed rainfall–runoff models in tropical nested catchments N. Sriwongsitanon et al. 10.5194/hess-27-2149-2023
- Improving the Representation of Long‐Term Storage Variations With Conceptual Hydrological Models in Data‐Scarce Regions P. Hulsman et al. 10.1029/2020WR028837
- Satellite-based drought analysis in the Zambezi River Basin: Was the 2019 drought the most extreme in several decades as locally perceived? P. Hulsman et al. 10.1016/j.ejrh.2021.100789
- Reduction of vegetation-accessible water storage capacity after deforestation affects catchment travel time distributions and increases young water fractions in a headwater catchment M. Hrachowitz et al. 10.5194/hess-25-4887-2021
- Discharge Estimation Using Integrated Satellite Data and Hybrid Model in the Midstream Yangtze River J. Xiong et al. 10.3390/rs13122272
- High effectiveness of GRACE data in daily-scale flood modeling: case study in the Xijiang River Basin, China J. Xiong et al. 10.1007/s11069-022-05312-z
- Flow regime changes in the Lancang River, revealed by integrated modeling with multiple Earth observation datasets X. Zhang et al. 10.1016/j.scitotenv.2022.160656
- Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement P. Hulsman et al. 10.5194/hess-25-957-2021
- Behind the scenes of streamflow model performance L. Bouaziz et al. 10.5194/hess-25-1069-2021
- Ecosystem adaptation to climate change: the sensitivity of hydrological predictions to time-dynamic model parameters L. Bouaziz et al. 10.5194/hess-26-1295-2022
- On the Performance of Sentinel‐3 Altimetry Over New Reservoirs: Approaches to Determine Onboard A Priori Elevation X. Zhang et al. 10.1029/2020GL088770
- Water Resources in Africa: The Role of Earth Observation Data and Hydrodynamic Modeling to Derive River Discharge A. Tarpanelli et al. 10.1007/s10712-022-09744-x
- Assessing changes in total water storage in two large freshwater lake basins of China D. Zhang et al. 10.1002/hyp.14556
- A framework to assess future water-resource under climate change in northern Morocco using hydro-climatic modelling and water-withdrawal scenarios Y. Hrour et al. 10.1016/j.ejrh.2023.101465
Latest update: 23 Apr 2024
Short summary
In the absence of discharge data in ungauged basins, remotely sensed river water level data, i.e. altimetry, may provide valuable information to calibrate hydrological models. This study illustrated that for large rivers in data-scarce regions, river altimetry data from multiple locations combined with GRACE data have the potential to fill this gap when combined with estimates of the river geometry, thereby allowing a step towards more reliable hydrological modelling in data-scarce regions.
In the absence of discharge data in ungauged basins, remotely sensed river water level data,...
