Search Results - "BARDOSSY, A"

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  1. 1

    Cloud removal methodology from MODIS snow cover product by Gafurov, A., Bárdossy, A.

    Published in Hydrology and earth system sciences (30-07-2009)
    “…The Moderate Resolution Imaging Spectroradiometer (MODIS) employed by Terra and Aqua satellites provides spatially snow covered data with 500 m and daily…”
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    Journal Article
  2. 2

    Calibration of hydrological model parameters for ungauged catchments by Bardossy, A

    Published in Hydrology and earth system sciences (01-01-2007)
    “…The parameters of hydrological models for catchments with few or no discharge records can be estimated using regional information. One can assume that…”
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    Journal Article
  3. 3

    A review of regionalisation for continuous streamflow simulation by He, Y., Bárdossy, A., Zehe, E.

    Published in Hydrology and earth system sciences (01-11-2011)
    “…Research on regionalisation in hydrology has been constantly advancing due to the need for prediction of streamflow in ungauged catchments. There are two types…”
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  4. 4

    Handling uncertainty in bivariate quantile estimation – An application to flood hazard analysis in the Mekong Delta by Dung, Nguyen Viet, Merz, B., Bárdossy, A., Apel, H.

    Published in Journal of hydrology (Amsterdam) (01-08-2015)
    “…•We study on uncertainty of bivariate flood quantile estimation.•Different uncertainties are quantified and discussed.•The method is exemplarily developed for…”
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  5. 5

    Copula based multisite model for daily precipitation simulation by Bárdossy, A., Pegram, G. G. S.

    Published in Hydrology and earth system sciences (03-12-2009)
    “…From the point of view of multisite stochastic daily rainfall modelling, there are two new ideas introduced in this paper. The first is the use of asymmetrical…”
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  6. 6

    Influence of rainfall observation network on model calibration and application by Bardossy, A, Das, T

    Published in Hydrology and earth system sciences (01-01-2008)
    “…The objective in this study is to investigate the influence of the spatial resolution of the rainfall input on the model calibration and application. The…”
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  7. 7

    A quantile function approach to discharge estimation from satellite altimetry (ENVISAT) by Tourian, M. J., Sneeuw, N., Bárdossy, A.

    Published in Water resources research (01-07-2013)
    “…The publicly available global discharge database is limited in spatial and temporal coverage. Although regional exceptions exist, the population of the…”
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  8. 8

    Predicting the regional onset of the rainy season in West Africa by Laux, P., Kunstmann, H., Bárdossy, A.

    Published in International journal of climatology (15-03-2008)
    “…Particularly in regions, where precipitation is limited to a few months per year only, reliable determination of the onset of the rainy season and the start of…”
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  9. 9

    Estimation of the Variogram Using Kendall’s Tau for a Robust Geostatistical Interpolation by Lebrenz, H, Bárdossy, A

    Published in Journal of hydrologic engineering (01-09-2017)
    “…AbstractThe estimation of an appropriate variogram is a crucial step toward the description of spatial dependence, the geostatistical interpolation of…”
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  10. 10

    Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges by Haese, B., Hörning, S., Chwala, C., Bárdossy, A., Schalge, B., Kunstmann, H.

    Published in Water resources research (01-12-2017)
    “…Abstract For the reconstruction and interpolation of precipitation fields, we present the application of a stochastic approach called Random Mixing. Generated…”
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  11. 11

    Computational efficient inverse groundwater modeling using Random Mixing and Whittaker–Shannon interpolation by Hörning, S., Sreekanth, J., Bárdossy, A.

    Published in Advances in water resources (01-01-2019)
    “…•Computationally efficient geostatistical inversion.•High-dimensional optimization replaced by a sequence of one-dimensional optimizations.•Guarantees a…”
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  12. 12

    Phase annealing for the conditional simulation of spatial random fields by Hörning, S., Bárdossy, A.

    Published in Computers & geosciences (01-03-2018)
    “…Simulated annealing (SA) is a popular geostatistical simulation method as it provides great flexibility. In this paper possible problems of conditioning its…”
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  13. 13

    Robust estimation of hydrological model parameters by Bárdossy, A, Singh, S.K

    Published in Hydrology and earth system sciences (01-01-2008)
    “…The estimation of hydrological model parameters is a challenging task. With increasing capacity of computational power several complex optimization algorithms…”
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  14. 14

    Interpolation of groundwater quality parameters with some values below the detection limit by Bardossy, A

    Published in Hydrology and earth system sciences (01-09-2011)
    “…For many environmental variables, measurements cannot deliver exact observation values as their concentration is below the sensitivity of the measuring device…”
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  15. 15

    Comparison of four regionalisation methods for a distributed hydrological model by Gotzinger, J, Bardossy, A

    Published in Journal of hydrology (Amsterdam) (15-02-2007)
    “…This study presents a grid-based modification of the HBV model concept and four regionalisation approaches using widely available catchment characteristics in…”
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  16. 16

    Multi-objective automatic calibration of hydrodynamic models utilizing inundation maps and gauge data by Dung, N. V., Merz, B., Bárdossy, A., Thang, T. D., Apel, H.

    Published in Hydrology and earth system sciences (01-04-2011)
    “…Automatic and multi-objective calibration of hydrodynamic models is – compared to other disciplines like e.g. hydrology – still underdeveloped. This has mainly…”
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  17. 17

    Indirect downscaling of hourly precipitation based on atmospheric circulation and temperature by Beck, F, Bárdossy, A

    Published in Hydrology and earth system sciences (05-12-2013)
    “…The main source of information on future climate conditions are global circulation models (GCMs). While the various GCMs agree on an increase of surface…”
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  18. 18

    Automated classification of the atmospheric circulation patterns that drive regional wave climates by Pringle, J, Stretch, D. D, Bárdossy, A

    Published in Natural hazards and earth system sciences (22-08-2014)
    “…Wave climates are fundamental drivers of coastal vulnerability; changing trends in wave heights, periods and directions can severely impact a coastline. In a…”
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  19. 19

    Geostatistical electrical resistivity tomography using random mixing by Hörning, S., Gross, L., Bárdossy, A.

    Published in Journal of applied geophysics (01-05-2020)
    “…With modern data acquisition technology, Electrical Resistivity Tomography (ERT) surveys can be deployed easily and run cost-efficiently over large areas and…”
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  20. 20

    Including land use information for the spatial estimation of groundwater quality parameters – 2. Interpolation methods, results, and comparison by Haslauer, C.P., Heißerer, T., Bárdossy, A.

    Published in Journal of hydrology (Amsterdam) (01-04-2016)
    “…•Spatial estimation is improved by including the composition of land uses in neighborhood.•Two processes represented, copula based: vertical infiltration,…”
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