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Using a multi-dimensional satellite rainfall error model to characterize uncertainty in soil moisture fields simulated by an offline land surface model
2005
Geophysical Research Letters
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Hossain and Anagnostou [2005b] have recently 90 provided evidence, on the basis of their Two Dimensional 91 Satellite Rainfall Error Model (SREM2D), that a multi-92 dimensional decomposition of the satellite ...
Data, Study Region and Methods
115 [7] The Two Dimensional Satellite Rainfall Error Model 116 (SREM2D) of Hossain and Anagnostou [2005b] is used 117 to model the multi-dimensional satellite retrieval ...
doi:10.1029/2005gl023122
fatcat:gv6qabjndfe7hbo7dopzridstq
Assessment of a Multidimensional Satellite Rainfall Error Model for Ensemble Generation of Satellite Rainfall Data
2006
IEEE Geoscience and Remote Sensing Letters
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A combined use of the multidimensional error model with a sequential error correction scheme could therefore potentially improve the diagnosis of satellite rainfall-based predictability of the global water ...
This letter presents preliminary insights from the pursuit of the following scientific query: "How realistic is ensemble generation of satellite rainfall data by a multidimensional satellite rainfall error ...
The two-dimensional satellite rainfall error model (SREM2D) is one such stochastic multidimensional error modeling approach developed and verified by Hossain and Anagnostou [10] . ...
doi:10.1109/lgrs.2006.873686
fatcat:co4rxiuo65czxgcqzvfr3gd3ay
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
[chapter]
2008
Studies in Computational Intelligence
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A TWO DIMENSIONAL SATELLITE RAINFALL ERROR MODEL (SREM2D) Motivated by the current state of the art in error modeling and the challenges faced by the need for high-resolution satellite rainfall data in ...
Using a multi-dimensional satellite rainfall error model to characterize uncertainty in soil moisture fields simulated by an offline land surface model Geophysical Research Letters vol. 32(L15402) (doi ...
doi:10.1007/978-3-540-75384-1_7
fatcat:4jnkxr74ozhlfkyeq23ikbfyai
The Efficiency of Assimilating Satellite Soil Moisture Retrievals in a Land Data Assimilation System Using Different Rainfall Error Models
2013
Journal of Hydrometeorology
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) is assessed using satellite rainfall forcing and two different satellite rainfall error models: a complex, multidimensional satellite rainfall error model (SREM2D) and the simpler (control) model (CTRL ...
Compared to using the CTRL rainfall error model in LDAS, using the more complex SREM2D exhibits only slight improvements in soil moisture estimates. ...
Maggioni was supported by a NASA Earth System Science Graduate Fellowship. R. ...
doi:10.1175/jhm-d-12-0105.1
fatcat:mwurn5kiqfbt5o5botonuktu5e
Multi-satellite rainfall sampling error estimates – a comparative study
2012
Hydrology and Earth System Sciences Discussions
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With this model we resampled rain gauge timeseries to simulate satellites rainfall estimates free of retrieval and calibration errors. ...
<br><br> A precise orbital model is used to simulate realistic satellite overpasses with orbital shifts taken into account. ...
And since we are interested in sampling errors differences for different 5 satellite constellations it is not so important whether we look at two-dimensional or one-dimensional rainfall timeseries. ...
doi:10.5194/hessd-9-11677-2012
fatcat:mrgzdic3cfesldowvi3fx7vmpe
Beamfilling Errors in Passive Microwave Rainfall Retrievals
1998
Journal of applied meteorology (1988)
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Rather, it is to explore the impact of inhomogeneous rainfall upon the predicted brightness temperatures so that these relations may eventually be used to develop a physically based error model for microwave ...
Radiative transfer computations were performed using a fully three-dimensional Monte Carlo solution in order to test all aspects of the beamfilling problem. ...
David Short for his help and many discussions on error modeling, as well as the three anonymous reviewers for their helpful suggestions. This work was supported by Drs. ...
doi:10.1175/1520-0450(1998)037<0356:beipmr>2.0.co;2
fatcat:gc26ofkpazdxhemtdxlx5ujy2y
Page 462 of Journal of Climate Vol. 13, Issue 2
[page]
2000
Journal of Climate
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——s . and , 1996: Estimation of sampling errors and scale parameters using two- and three-dimensional rainfall data ana- lyses. J. Geophys. Res., 101 (D), 26 453-26 460. ...
A. Arkin, 1996: Analyses of global monthly precipi- tation using gauge observations, satellite estimates, and numer- ical model predictions. J. Climate, 9, 840-858. ...
Assessing the skill of satellite-based precipitation estimates in hydrologic applications
2010
Water Resources Research
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As a reference to the satellite retrievals, estimates from global and regional weather model reanalyses (the analysis fields from these models) are tested as well. ...
River streamflow experiments also suggest that satellite rainfall errors are highly correlated in space within the range of one storm system and thus do not reduce in magnitude with spatial scale (basin ...
Examples include the error variance separation [Ciach and Krajewski, 1999] , the two-dimensional satellite rainfall error model [Hossain and Anagnostou, 2006] , statistical validation [Villarini et ...
doi:10.1029/2009wr008290
fatcat:ug6lwjubkrc5znldvgbwbmx7ku
A Multiscale Ensemble Filtering System for Hydrologic Data Assimilation. Part II: Application to Land Surface Modeling with Satellite Rainfall Forcing
2009
Journal of Hydrometeorology
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The major challenge is the generation of a rainfall ensemble given one satellite rainfall map. ...
However, a most important application of the multiscale technique is to assimilate satellite-based remote sensing observations into a land surface model-and this has not been realized. ...
This research is supported by National Aeronautics and Space Administration (NASA) Grants NNG06GD79G (''Estimating Continental-Scale Water Balances through Modeling and Assimilation of EOS Terra and Aqua ...
doi:10.1175/2009jhm1155.1
fatcat:arnkfbvvjbhjrgn7dcm73ykweq
Evaluation of Combined Satellite and Radar Data Assimilation with POD-4DEnVar Method on Rainfall Forecast
2020
Applied Sciences
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Satellite and radar observations represent two fundamentally different remote sensing observation types, providing independent information for numerical weather prediction (NWP). ...
In this study, satellite radiance, radar radial velocity and reflectivity are simultaneously assimilated with the Proper Orthogonal Decomposition (POD)-based ensemble four-dimensional variational (4DVar ...
The ensemble forecast and final deterministic forecast are made in the WRF model. The WRF model is configured with a two-domain nested grid system, shown in Figure 4. ...
doi:10.3390/app10165493
fatcat:5grjbol3brdnhknhfuiqbsoloa
Understanding the Scale Relationships of Uncertainty Propagation of Satellite Rainfall through a Distributed Hydrologic Model
2010
Journal of Hydrometeorology
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A satellite rainfall error model is devised to generate rainfall ensembles based on two satellite products with different retrieval accuracies and space-time resolutions. ...
The study presents a data-based numerical experiment performed to understand the scale relationships of the error propagation of satellite rainfall for flood evaluation applications in complex terrain ...
Satellite rainfall ensembles We used the satellite rainfall error model developed by Hossain and Anagnostou [2006b; a two-dimensional satellite rainfall error model (SREM2D)]. ...
doi:10.1175/2009jhm1169.1
fatcat:amjqctxy25e27ewvgombpsarli
Investigating the Applicability of Error Correction Ensembles of Satellite Rainfall Products in River Flow Simulations
2013
Journal of Hydrometeorology
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obtained by forcing the model with satellite rainfall corrected using stochastic error simulations from a two-dimensional satellite rainfall error model (SREM2D). ...
This study uses a stochastic ensemble-based representation of satellite rainfall error to predict the propagation in flood simulation of three quasi-global-scale satellite rainfall products across a range ...
Maggioni was supported by a NASA Earth System Science Graduate Fellowship. ...
doi:10.1175/jhm-d-12-074.1
fatcat:bctsi3lgrjcplkiwdm7jpa34c4
The Effect of Satellite Rainfall Error Modeling on Soil Moisture Prediction Uncertainty
2011
Journal of Hydrometeorology
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Specifically, the study contrasts a complex satellite rainfall error model (SREM2D) with the standard rainfall error model used to generate ensembles of rainfall fields as part of the Land Data Assimilation ...
Comparisons of rainfall ensembles generated by SREM2D and LDAS against reference rainfall show that both rainfall error models preserve the satellite rainfall error characteristics across a range of spatial ...
The authors thank Faisal Hossain from the Tennessee Technological University for his precious help with the SREM2D model. ...
doi:10.1175/2011jhm1355.1
fatcat:47cml4iilrgatm5xg2ihsllkdq
Enhanced flood mapping using synthetic aperture radar (SAR) images, hydraulic modelling, and social media: A case study of Hurricane Harvey (Houston, TX)
2020
Journal of Flood Risk Management
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error sources in simulating flooding in urban areas using the hydraulic model. ...
Using the experience from this case study we discuss the possibility to use satellite data, instead of groundbased rainfall gauge measurements as precipitation inputs to the hydraulic model; and possible ...
Usually, model simulations are carried out by a combined one dimensional/two dimensional approach in which river flow is assumed one dimensional while twodimensional flow is considered in the surrounding ...
doi:10.1111/jfr3.12647
fatcat:arxn6bupevcf7flku6oi6bybjy
On Latin Hypercube sampling for efficient uncertainty estimation of satellite rainfall observations in flood prediction
2006
Computers & Geosciences
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In this study, Latin Hypercube Sampling (LHS) was implemented in a satellite rainfall error model to explore the degree of computational efficiency that could be achieved with a complex hydrologic model ...
A full-scale assessment would require a large number of Monte Carlo (MC) runs of the satellite error model realizations, each passed through a hydrologic model, in order to derive the probability distribution ...
Very recently, Hossain and Anagnostou (2005a) formulated a fully two-dimensional (2D) Space-Time Error Model for SREM (called SREM2D) for distributed (spatial) error propagation studies (e.g., Hossain ...
doi:10.1016/j.cageo.2005.10.006
fatcat:tjdu7hp6q5fxbhjjjhve64mm44
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