Advancing the Use of Satellite Rainfall Datasets for Flood Prediction in Ungauged Basins: The Role of Scale, Hydrologic Process Controls and the Global Precipitation Measurement Mission

@inproceedings{Hossain2008AdvancingTU,
  title={Advancing the Use of Satellite Rainfall Datasets for Flood Prediction in Ungauged Basins: The Role of Scale, Hydrologic Process Controls and the Global Precipitation Measurement Mission},
  author={Faisal Hossain and Nitin Katiyar},
  booktitle={Quantitative Information Fusion for Hydrological Sciences},
  year={2008}
}
1.0 INTRODUCTION Floods account for about 15 % of the total death toll related to natural disasters, wherein typically more than 10 million lives are either displaced or lost each year internationally (Hossain, 2006). Rainfall is the primary determinant of floods and its intimate interaction with the landform (i.e., topography, vegetation and channel network) magnified by highly wet antecedent conditions leads to catastrophic flooding in medium (i.e., 1000 ~ 5000 km) and large (i.e., > 5000 km… 
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References

SHOWING 1-10 OF 58 REFERENCES
Improving flood forecasting in international river basins
In flood-prone international river basins (IRBs), many riparian nations that are located close to a basin's outlet face a major problem in effectively forecasting flooding because they are unable to
An open-book watershed model for prototyping space-borne flood monitoring systems in International River Basins
Flood prediction in the future: Recognizing hydrologic issues in anticipation of the Global Precipitation Measurement mission
The planned Global Precipitation Measurement (GPM) mission beckons hydrologists as an opportunity to improve flood prediction capability for medium to large river basins, especially in the
Investigation of the nonlinear hydrologic response to precipitation forcing in physically based land surface modeling
This paper is concerned with the effect of precipitation forcing on land surface hydrological variables predicted by a physically based land surface scheme. The aspects considered are the differences
Towards Formulation of a Space-borne System for Early Warning of Floods: Can Cost-Effectiveness Outweigh Prediction Uncertainty?
The three most important components necessary for functioning of an operational flood warning system are: (1) a rainfall measuring system; (2) a soil moisture updating system; and, (3) a surface
Temporal disaggregation of satellite-derived monthly precipitation estimates and the resulting propagation of error in partitioning of water at the land surface
Abstract. Global estimates of precipitation can now be made using data from a combination of geosynchronous and low earth-orbit satellites. However, revisit patterns of polar-orbiting satellites and
Sensitivity analyses of satellite rainfall retrieval and sampling error on flood prediction uncertainty
TLDR
It is shown that merging rain retrievals from hourly infrared and PM observations generally reduces flood prediction uncertainty, and the error reduction varied between 50% and 80% for the 6-h (3-h) PM sampling scenarios, depending on the relative magnitudes of PM and IR retrieval errors.
Effect of precipitation sampling error on simulated hydrological fluxes and states: Anticipating the Global Precipitation Measurement satellites
[1] Precipitation is the single most important determinant of the fluxes and states of the land surface hydrological system and the most important atmospheric input to hydrological models.
Hydrological model sensitivity to parameter and radar rainfall estimation uncertainty
Radar estimates of rainfall are being increasingly applied to flood forecasting applications. Errors are inherent both in the process of estimating rainfall from radar and in the modelling of the
Analysis of process controls in land surface hydrological cycle over the continental United States
The paper uses two years (1997–1999) of data from the North American Land Data Assimilation System at National Centers for Environmental Prediction to analyze the variability of physical variables
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