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4. Integrating global satellite-derived data products as a pre-analysis for hydrological modelling studies: a case study for the Red River Basin

Author

Simons, G.W.H. (author), Bastiaanssen, W.G.M. (author), Ngô, L.A. (author), Hain, C.R. (author), Anderson, M. (author), Senay, G. (author), Simons, G.W.H. (author), Bastiaanssen, W.G.M. (author), Ngô, L.A. (author), Hain, C.R. (author), Anderson, M. (author), and Senay, G. (author)

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., Water Resources

Published
2016
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6. An intercomparison of remotely sensed soil moisture products at various spatial scales over the Iberian Peninsula

Author

Parinussa, R.M., Yılmaz, Mustafa Tuğrul, Anderson, M.C., Hain, C.R., de Jeu, R.A.M., Earth and Climate, Amsterdam Global Change Institute, and OpenMETU

Subjects
Water Science and Technology
Abstract

Soil moisture (SM) can be retrieved from active microwave (AM), passive microwave (PM) and thermal infrared (TIR) observations, each having unique spatial and temporal coverages. A limitation of TIR-based retrievals is a dependence on cloud-free conditions, whereas microwave retrievals are almost all weather proof. A downside of SM retrievals from PM is the coarse spatial resolution. Although SM retrievals at coarse spatial resolution proved to be valuable for global-scale and continental-scale studies, their value for regional-scale studies remains limited. To increase the use of SM retrievals from PM observations, an existing method to enhance their spatial resolution was applied. We present an intercomparison study over the Iberian Peninsula for three SM products on two different spatial sampling grids. The remotely sensed SM products were also compared with in situ observations from the Remedhus network. Variations between ground data and satellite-based SM are observed; all three remotely sensed SM products show good agreement to the ground observations. The comparison shows that these ground observations and satellite data are consistent, based on the correlation coefficient (R) and root mean square error (RMSE). The remotely sensed products were intercompared after sampling at 25 x 25 km(2) and after applying the smoothing filter-based intensity modulation (SFIM) downscaling technique at 10 x 10 km(2) grids. After the application of the SFIM technique, the SM retrievals from PM observations show better agreement with the other remotely sensed SM products for approximately 40% of the study area. For another 40% of the study area, we found a similar agreement between these product combinations, whereas in extreme environments, both arid and densely vegetated regions, the agreement decreases after the application of the SFIM technique. Agreement between retrievals of absolute SM content from PM and TIR observations is generally high (R = 0.77 for semi-arid areas). This study enhances our understanding of the remotely sensed SM products for improvements of SM retrieval and merging strategies. Copyright (C) 2013 John Wiley & Sons, Ltd.

Published
2013

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