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Andras Bárdossy on Muck Rack

Andras Bárdossy

As seen in: MDPI
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Articles

Evaluation and Error Decomposition of IMERG Product Based on Multiple Satellite Sensors

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By Yunping Li, Ke Zhang, Andras Bárdossy, Xiaoji Shen
| MDPI
Abstract : The Integrated Multisatellite Retrievals for GPM (IMERG) is designed to derive precipitation by merging data from all the passive microwave (PMW) and infrared (IR) sensors. While the input source errors originating from the PMW and IR sensors are important, their structure, characteristics, and algorithm improvement remain unclear.
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Sustainable Water Resources Management

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By Rao Y. Surampalli, Andras Bárdossy, Tian Zhang, Chih-Ming Kao
| ascelibrary.org
Sponsored by the Sustainable Water Resources Management Task Committee of the Environmental Council of the Environmental and Water Resources Institute of the American Society of Civil Engineers Sustainable Water Resources Management presents the most current thinking on the environmental, social, and political dimensions of sustainably managing the water supply at local, regional, or basin levels.
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Using Probable Maximum Precipitation to Bound the Disaggregation of Rainfall

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By Neil Mcintyre, Andras Bárdossy
| MDPI
The Multiplicative Discrete Random Cascade (MDRC) class of model is used to temporally disaggregate rainfall volumes through multiplying the volumes by random weights, which is repeated through multiple disaggregation levels. The model development involves the identification of probability density functions from which to sample the weights. The parameters of the probability density functions are known to be dependent on the rainfall volume.
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