Name
Title | ||
|---|---|---|
Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin. |
Abstract | ||
|---|---|---|
With changes in weather patterns and intensifying anthropogenic water use, there is an increasing need for spatio-temporal information on water fluxes and stocks in river basins. The assortment of satellite-derived open-access information sources on rainfall (P) and land use/land cover (LULC) is currently being expanded with the application of actual evapotranspiration (ETact) algorithms on the global scale. We demonstrate how global remotely sensed P and ETact datasets can be merged to examine hydrological processes such as storage changes and streamflow prior to applying a numerical simulation model. The study area is the Red River Basin in China in Vietnam, a generally challenging basin for remotely sensed information due to frequent cloud cover. Over this region, several satellite-based P and ETact products are compared, and performance is evaluated using rain gauge records and longer-term averaged streamflow. A method is presented for fusing multiple satellite-derived ETact estimates to generate an ensemble product that may be less susceptible, on a global basis, to errors in individual modeling approaches. Subsequently, monthly satellite-derived rainfall and ETact are combined to assess the water balance for individual subcatchments and types of land use, defined using a global land use classification improved based on auxiliary satellite data. It was found that a combination of TRMM rainfall and the ensemble ETact product is consistent with streamflow records in both space and time. It is concluded that monthly storage changes, multi-annual streamflow and water yield per LULC type in the Red River Basin can be successfully assessed based on currently available global satellite-derived products. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3390/rs8040279 | REMOTE SENSING |
Keywords | Field | DocType |
global satellite-derived data,intercomparison,evapotranspiration,Red River Basin,hydrological modeling,water accounting | Streamflow,Hydrological modelling,Water balance,Rain gauge,Drainage basin,Hydrology,Remote sensing,Climatology,Geology,Land cover,Evapotranspiration,Precipitation | Journal |
Volume | Issue | Citations |
8 | 4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gijs Simons | 1 | 2 | 1.10 |
| W. G. M. Bastiaanssen | 2 | 8 | 3.71 |
| Le An Ngô | 3 | 0 | 0.34 |
| christopher r hain | 4 | 14 | 11.36 |
| Martha C. Anderson | 5 | 72 | 23.99 |
| Gabriel B. Senay | 6 | 27 | 9.85 |