The Experts below are selected from a list of 26973 Experts worldwide ranked by ideXlab platform
Jan Seibert - One of the best experts on this subject based on the ideXlab platform.
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teaching Hydrological Modeling with a user friendly catchment runoff model software package
Hydrology and Earth System Sciences, 2012Co-Authors: Jan SeibertAbstract:Computer models, especially conceptual models, are frequently used for catchment hydrology studies. Teaching Hydrological Modeling, however, is challenging, since students have to both understand general model concepts and be able to use particular computer programs when learning to apply computer models. Here we present a new version of the HBV ( Hydrologiska Byrans Vattenavdelning ) model. This software provides a user-friendly version that is especially useful for education. Different functionalities, such as an automatic calibration using a genetic algorithm or a Monte Carlo approach, as well as the possibility to perform batch runs with predefined model parameters make the software interesting especially for teaching in more advanced classes and research projects. Different teaching goals related to Hydrological Modeling are discussed and a series of exercises is suggested to reach these goals.
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evaluation of different downscaling techniques for Hydrological climate change impact studies at the catchment scale
Climate Dynamics, 2011Co-Authors: Claudia Teutschbein, Jan Seibert, Fredrik WetterhallAbstract:Hydrological Modeling for climate-change impact assessment implies using meteorological variables simulated by global climate models (GCMs). Due to mismatching scales, coarse-resolution GCM output ...
Guanhua Huang - One of the best experts on this subject based on the ideXlab platform.
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Modeling and assessing agro Hydrological processes and irrigation water saving in the middle heihe river basin
Agricultural Water Management, 2019Co-Authors: Xu Xu, Yao Jiang, Quanzhong Huang, Guanhua HuangAbstract:Abstract Water use conflicts between agriculture and ecosystem have become a more severe and acute problem in the Heihe River basin (HRB). Excessive irrigation water use in the middle oasis of the HRB has caused gradual deterioration of water quality and eco-environment both in middle and lower HRB. The urgent issue is to make a quantitative analysis and an improvement of irrigation water use in middle oasis. In this paper, distributed agro-Hydrological Modeling was conducted to access the irrigation water use and potential water-saving in the major irrigation system of middle HRB (MOIS), using the GIS-based SWAP-EPIC model. The Modeling work was based on the abundant data from field experiments, remote sensing, surveys and statistics, and previous eco-Hydrological studies. The reliability of the distributed simulation was evaluated using the remote sensing data of actual evapotranspiration (ETa). Then, spatial distribution of irrigation water depth, ETa, deep percolation and crop yield and the related impact factors were systematically analyzed in MOIS. Results indicated that only 53% of total applied water was efficiently used through ETa, whereas deep percolation loss and canal conveyance loss accounted for 22% and 25% of the total applied water, respectively. The beneficial water use fraction was still low in MOIS, averaging only 0.70 on field scale and 0.52 on district scale. Water-saving analysis predicted that 15% of irrigation amount could be saved efficiently, with especial emphasis on the rational water allocation and distribution. In addition, our results related to agro-Hydrological processes could provide very valuable information for improving the existing watershed Hydrological Modeling in the HRB.
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Modeling and assessing agro Hydrological processes and irrigation water saving in the middle heihe river basin
Agricultural Water Management, 2019Co-Authors: Yao Jiang, Quanzhong Huang, Minghuan Liu, Guanhua HuangAbstract:Abstract Water use conflicts between agriculture and ecosystem have become a more severe and acute problem in the Heihe River basin (HRB). Excessive irrigation water use in the middle oasis of the HRB has caused gradual deterioration of water quality and eco-environment both in middle and lower HRB. The urgent issue is to make a quantitative analysis and an improvement of irrigation water use in middle oasis. In this paper, distributed agro-Hydrological Modeling was conducted to access the irrigation water use and potential water-saving in the major irrigation system of middle HRB (MOIS), using the GIS-based SWAP-EPIC model. The Modeling work was based on the abundant data from field experiments, remote sensing, surveys and statistics, and previous eco-Hydrological studies. The reliability of the distributed simulation was evaluated using the remote sensing data of actual evapotranspiration (ETa). Then, spatial distribution of irrigation water depth, ETa, deep percolation and crop yield and the related impact factors were systematically analyzed in MOIS. Results indicated that only 53% of total applied water was efficiently used through ETa, whereas deep percolation loss and canal conveyance loss accounted for 22% and 25% of the total applied water, respectively. The beneficial water use fraction was still low in MOIS, averaging only 0.70 on field scale and 0.52 on district scale. Water-saving analysis predicted that 15% of irrigation amount could be saved efficiently, with especial emphasis on the rational water allocation and distribution. In addition, our results related to agro-Hydrological processes could provide very valuable information for improving the existing watershed Hydrological Modeling in the HRB.
Eric F Wood - One of the best experts on this subject based on the ideXlab platform.
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global scale evaluation of 22 precipitation datasets using gauge observations and Hydrological Modeling
98th American Meteorological Society Annual Meeting, 2020Co-Authors: Hylke E Beck, Noemi Vergopolan, Ming Pan, Vincenzo Levizzani, Albert I J M Van Dijk, Graham P Weedon, Luca Brocca, Florian Pappenberger, George J Huffman, Eric F WoodAbstract:We undertook a comprehensive evaluation of 22 gridded (quasi-)global (sub-)daily precipitation (P) datasets for the period 2000–2016. Thirteen non-gauge-corrected P datasets were evaluated using daily P gauge observations from 76,086 gauges worldwide. Another nine gauge-corrected datasets were evaluated using Hydrological Modeling, by calibrating the conceptual model HBV against streamflow records for each of 9053 small to medium-sized (<50,000 km2) catchments worldwide, and comparing the resulting performance. Marked differences in spatio-temporal patterns and accuracy were found among the datasets. Among the uncorrected P datasets, the satellite- and reanalysis-based MSWEP-ng V1.2 and V2.0 datasets generally showed the best temporal correlations with the gauge observations, followed by the reanalyses (ERA-Interim, JRA-55, and NCEP-CFSR) and the satellite- and reanalysis-based CHIRP V2.0 dataset, the estimates based primarily on passive microwave remote sensing of rainfall (CMORPH V1.0, GSMaP V5/6, and TMPA 3B42RT V7) or near-surface soil moisture (SM2RAIN-ASCAT), and finally, estimates based primarily on thermal infrared imagery (GridSat V1.0, PERSIANN, and PERSIANN-CCS). Two of the three reanalyses (ERA-Interim and JRA-55) unexpectedly obtained lower trend errors than the satellite datasets. Among the corrected P datasets, the ones directly incorporating daily gauge data (CPC Unified and MSWEP V1.2 and V2.0) generally provided the best calibration scores, although the good performance of the fully gauge-based CPC Unified is unlikely to translate to sparsely or ungauged regions. Next best results were obtained with P estimates directly incorporating temporally coarser gauge data (CHIRPS V2.0, GPCP-1DD V1.2, TMPA 3B42 V7, and WFDEI-CRU), which in turn outperformed the one indirectly incorporating gauge data through another multi-source dataset (PERSIANN-CDR V1R1). Our results highlight large differences in estimation accuracy, and hence, the importance of P dataset selection in both research and operational applications. The good performance of MSWEP emphasizes that careful data merging can exploit the complementary strengths of gauge-, satellite- and reanalysis-based P estimates.
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global scale evaluation of 22 precipitation datasets using gauge observations and Hydrological Modeling
EGU General Assembly Conference Abstracts, 2018Co-Authors: Hylke E Beck, Noemi Vergopolan, Ming Pan, Vincenzo Levizzani, Albert I J M Van Dijk, Graham P Weedon, Luca Brocca, Florian Pappenberger, George J Huffman, Eric F WoodAbstract:Abstract. We undertook a comprehensive evaluation of 22 gridded (quasi-)global (sub-)daily precipitation (P) datasets for the period 2000–2016. Thirteen non-gauge-corrected P datasets were evaluated using daily P gauge observations from 76 086 gauges worldwide. Another nine gauge-corrected datasets were evaluated using Hydrological Modeling, by calibrating the HBV conceptual model against streamflow records for each of 9053 small to medium-sized (
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global scale evaluation of 23 precipitation datasets using gaugeobservations and Hydrological Modeling
Hydrology and Earth System Sciences Discussions, 2017Co-Authors: Hylke E Beck, Noemi Vergopolan, Ming Pan, Vincenzo Levizzani, Graham P Weedon, Luca Brocca, Florian Pappenberger, George J Huffman, Albert Van Dijk, Eric F WoodAbstract:We undertook a comprehensive evaluation of 23 gridded (quasi-)global (sub-)daily precipitation ( P ) datasets for the period 2000–2016. Thirteen non-gauge-corrected P datasets were evaluated using daily P gauge observations from 76 086 gauges worldwide. Another ten gauge-corrected datasets were evaluated using Hydrological Modeling, by calibrating the conceptual model HBV against streamflow records for each of 9053 small to medium-sized ( 2 ) catchments worldwide, and comparing the resulting performance. Marked differences in spatio-temporal patterns and accuracy were found among the datasets. Among the uncorrected P datasets, the satellite- and reanalysis-based MSWEP-ng V1.2 and V2.0 datasets generally showed the best temporal correlations with the gauge observations, followed by the reanalyses (ERA-Interim, JRA-55, and NCEP-CFSR) and the the satellite- and reanalysis-based CHIRP V2.0 dataset, the estimates based primarily on passive microwave remote sensing of rainfall (CMORPH V1.0, GSMaP V5/6, and TMPA 3B42RT V7) or near-surface soil moisture (SM2RAIN-ASCAT), and finally, estimates based primarily on thermal infrared imagery (GridSat V1.0, PERSIANN, and PERSIANN-CCS). Two of the three reanalyses (ERA-Interim and JRA-55) unexpectedly obtained lower trend errors than the satellite datasets. Among the corrected P datasets, the ones directly incorporating daily gauge data (CPC Unified and MSWEP V1.2 and V2.0) generally provided the best calibration scores, although the good performance of the fully gaugebased CPC Unified is unlikely to translate to sparsely or ungauged regions. Next best results were obtained with P estimates directly incorporating temporally coarser gauge data (CHIRPS V2.0, GPCP-1DD V1.2, TMPA 3B42 V7, and WFDEI-CRU), which in turn outperformed those indirectly incorporating gauge data through other multi-source datasets (PERSIANN-CDR V1R1 and PGF). Our results highlight large differences in estimation accuracy, and hence, the importance of P dataset selection in both research and operational applications. The good performance of MSWEP emphasizes that careful data merging can exploit the complementary strengths of gauge-, satellite- and reanalysis-based P estimates.
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Hydrological Modeling of continental scale basins
Annual Review of Earth and Planetary Sciences, 1997Co-Authors: Eric F Wood, Dennis P Lettenmaier, Xu Liang, Bart Nijssen, Suzanne W WetzelAbstract:▪ Abstract Recent increased interest in the role of the land surface in weather and climate, including impacts due to climate change, has resulted in land surface hydrologic models that incorporate processes which describe the exchange of water and energy at the Earth's surface. The development of a grid-based Hydrological model with a full soil-vegetation-atmospheric-transfer (SVAT) land surface parameterization is summarized. The model is suitable both for simulating continental-scale river basins at high temporal and spatial resolutions and as the land surface parameterization in atmospheric general circulation models (AGCMs). Results for the Missouri River basin show the model can successfully simulate Hydrological fluxes (e.g. streamflows and evaporation) for large catchments.
Yao Jiang - One of the best experts on this subject based on the ideXlab platform.
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Modeling and assessing agro Hydrological processes and irrigation water saving in the middle heihe river basin
Agricultural Water Management, 2019Co-Authors: Xu Xu, Yao Jiang, Quanzhong Huang, Guanhua HuangAbstract:Abstract Water use conflicts between agriculture and ecosystem have become a more severe and acute problem in the Heihe River basin (HRB). Excessive irrigation water use in the middle oasis of the HRB has caused gradual deterioration of water quality and eco-environment both in middle and lower HRB. The urgent issue is to make a quantitative analysis and an improvement of irrigation water use in middle oasis. In this paper, distributed agro-Hydrological Modeling was conducted to access the irrigation water use and potential water-saving in the major irrigation system of middle HRB (MOIS), using the GIS-based SWAP-EPIC model. The Modeling work was based on the abundant data from field experiments, remote sensing, surveys and statistics, and previous eco-Hydrological studies. The reliability of the distributed simulation was evaluated using the remote sensing data of actual evapotranspiration (ETa). Then, spatial distribution of irrigation water depth, ETa, deep percolation and crop yield and the related impact factors were systematically analyzed in MOIS. Results indicated that only 53% of total applied water was efficiently used through ETa, whereas deep percolation loss and canal conveyance loss accounted for 22% and 25% of the total applied water, respectively. The beneficial water use fraction was still low in MOIS, averaging only 0.70 on field scale and 0.52 on district scale. Water-saving analysis predicted that 15% of irrigation amount could be saved efficiently, with especial emphasis on the rational water allocation and distribution. In addition, our results related to agro-Hydrological processes could provide very valuable information for improving the existing watershed Hydrological Modeling in the HRB.
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Modeling and assessing agro Hydrological processes and irrigation water saving in the middle heihe river basin
Agricultural Water Management, 2019Co-Authors: Yao Jiang, Quanzhong Huang, Minghuan Liu, Guanhua HuangAbstract:Abstract Water use conflicts between agriculture and ecosystem have become a more severe and acute problem in the Heihe River basin (HRB). Excessive irrigation water use in the middle oasis of the HRB has caused gradual deterioration of water quality and eco-environment both in middle and lower HRB. The urgent issue is to make a quantitative analysis and an improvement of irrigation water use in middle oasis. In this paper, distributed agro-Hydrological Modeling was conducted to access the irrigation water use and potential water-saving in the major irrigation system of middle HRB (MOIS), using the GIS-based SWAP-EPIC model. The Modeling work was based on the abundant data from field experiments, remote sensing, surveys and statistics, and previous eco-Hydrological studies. The reliability of the distributed simulation was evaluated using the remote sensing data of actual evapotranspiration (ETa). Then, spatial distribution of irrigation water depth, ETa, deep percolation and crop yield and the related impact factors were systematically analyzed in MOIS. Results indicated that only 53% of total applied water was efficiently used through ETa, whereas deep percolation loss and canal conveyance loss accounted for 22% and 25% of the total applied water, respectively. The beneficial water use fraction was still low in MOIS, averaging only 0.70 on field scale and 0.52 on district scale. Water-saving analysis predicted that 15% of irrigation amount could be saved efficiently, with especial emphasis on the rational water allocation and distribution. In addition, our results related to agro-Hydrological processes could provide very valuable information for improving the existing watershed Hydrological Modeling in the HRB.
Jurgen Heinrich - One of the best experts on this subject based on the ideXlab platform.
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Hydrological responses to land use cover changes in the source region of the upper blue nile basin ethiopia
Science of The Total Environment, 2017Co-Authors: Tekalegn Ayele Woldesenbet, Nadir Ahmed Elagib, Lars Ribbe, Jurgen HeinrichAbstract:Understanding how changes in distinctive land use/land cover (LULC) types influence the basin hydrology would greatly improve the predictability of the Hydrological consequences of LULC dynamics for sustainable water resource management. As the main flow contributor to the River Nile, quantifying the effect of LULC change on water resources in the source regions is very important for the assessment of water resources availability and management downstream in the riparian states in general and the study watersheds in particular. In this study, an integrated approach comprising Hydrological Modeling and partial least squares regression (PLSR) was used to quantify the contributions of changes in individual LULC classes to changes in Hydrological components. Two watersheds, namely Lake Tana and Beles in the Upper Blue Nile Basin in Ethiopia, were considered for the conduction of Hydrological Modeling using LULC maps and the Soil and Water Assessment Tool (SWAT). In the Tana sub-basin, it is found that expansion of cultivation land and decline in woody shrub are the major contributors to the rise in surface run-off and to the decline in the groundwater component. Similarly, decline of woodland and expansion of cultivation land are the major contributors to the increase in surface run-off and water yield in the Beles sub-basin. Increased run-off and reduced baseflow and actual evapotranspiration would have negative impacts on water resources, especially in relation to erosion and sedimentation in the upper Blue Nile River Basin. As a result, expansion of cultivation land and decline in woody shrub/woodland appear to be major environmental stressors affecting local water resources. The wider implications of the Hydrological changes on the Easter Nile water resources are briefly discussed. The approach to assessing changes in basin hydrology could generally be applied to a variety of other watersheds for which temporal digital LULC maps are available.
