Search Results - "Laaha, G."

Hydrological drought severity explained by climate and catchment characteristics by Van Loon, A.F., Laaha, G.

“…•Hydrological drought severity metrics duration and deficit have different controls.•Streamflow drought duration is caused by catchment storage and dry spell…”
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Comparative assessment of predictions in ungauged basins – Part 2: Flood and low flow studies by Salinas, J. L, Laaha, G, Rogger, M, Parajka, J, Viglione, A, Sivapalan, M, Blöschl, G

“…The objective of this paper is to assess the performance of methods that predict low flows and flood runoff in ungauged catchments. The aim is to learn from…”
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Factors influencing long range dependence in streamflow of European rivers by Szolgayova, E., Laaha, G., Blöschl, G., Bucher, C.

“…Investigating long range dependence of river flows, especially in connection with various climate and storage related factors, is important in order to improve…”
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A comparison of low flow regionalisation methods—catchment grouping by Laaha, G., Blöschl, G.

“…Four catchment grouping methods are compared in terms of their performance in predicting specific low flow discharges q 95, i.e. the specific discharge that is…”
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Comparative assessment of predictions in ungauged basins – Part 3: Runoff signatures in Austria by Viglione, A, Parajka, J, Rogger, M, Salinas, J. L, Laaha, G, Sivapalan, M, Blöschl, G

“…This is the third of a three-part paper series through which we assess the performance of runoff predictions in ungauged basins in a comparative way. Whereas…”
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The European 2015 drought from a hydrological perspective by Laaha, Gregor, Gauster, Tobias, Tallaksen, Lena M., Vidal, Jean-Philippe, Stahl, Kerstin, Prudhomme, Christel, Heudorfer, Benedikt, Vlnas, Radek, Ionita, Monica, Van Lanen, Henny A. J., Adler, Mary-Jeanne, Caillouet, Laurie, Delus, Claire, Fendekova, Miriam, Gailliez, Sebastien, Hannaford, Jamie, Kingston, Daniel, Van Loon, Anne F., Mediero, Luis, Osuch, Marzena, Romanowicz, Renata, Sauquet, Eric, Stagge, James H., Wong, Wai K.

“…In 2015 large parts of Europe were affected by drought. In this paper, we analyze the hydrological footprint (dynamic development over space and time) of the…”
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Hydrological drought types in cold climates: quantitative analysis of causing factors and qualitative survey of impacts by Van Loon, A. F, Ploum, S. W, Parajka, J, Fleig, A. K, Garnier, E, Laaha, G, Van Lanen, H. A. J

“…For drought management and prediction, knowledge of causing factors and socio-economic impacts of hydrological droughts is crucial. Propagation of…”
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Seasonality indices for regionalizing low flows by Laaha, G., Blöschl, G.

“…In this study we examine three seasonality indices for their potential in regionalizing low flows. The indices are seasonality histograms (SHs) that represent…”
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Spatial prediction on river networks: comparison of top-kriging with regional regression by Laaha, G., Skøien, J.O., Blöschl, G.

“…Top‐kriging is a method for estimating stream flow‐related variables on a river network. Top‐kriging treats these variables as emerging from a two‐dimensional…”
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Evaluation strategies for isotope ratio measurements of single particles by LA-MC-ICPMS by Kappel, S., Boulyga, S. F., Dorta, L., Günther, D., Hattendorf, B., Koffler, D., Laaha, G., Leisch, F., Prohaska, T.

“…Data evaluation is a crucial step when it comes to the determination of accurate and precise isotope ratios computed from transient signals measured by…”
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rtop: An R package for interpolation of data with a variable spatial support, with an example from river networks by Skøien, J.O., Blöschl, G., Laaha, G., Pebesma, E., Parajka, J., Viglione, A.

“…Geostatistical methods have been applied only to a limited extent for spatial interpolation in applications where the observations have an irregular support,…”
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Smooth regional estimation of low-flow indices: physiographical space based interpolation and top-kriging by Castiglioni, S., Castellarin, A., Montanari, A., Skøien, J. O., Laaha, G., Blöschl, G.

“…Recent studies highlight that spatial interpolation techniques of point data can be effectively applied to the problem of regionalization of hydrometric…”
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Low flow estimates from short stream flow records—a comparison of methods by Laaha, G., Blöschl, G.

“…We compare a number of methods of adjusting Q95 estimates from short stream flow records for climate variability. Q95 is the discharge that is exceeded on 95%…”
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Disentangling Drivers of Meteorological Droughts in the European Greater Alpine Region During the Last Two Centuries by Haslinger, K., Hofstätter, M., Kroisleitner, C., Schöner, W., Laaha, G., Holawe, F., Blöschl, G.

“…This study investigates the atmospheric drivers of severe precipitation deficits in the Greater Alpine Region during the last 210 years utilizing a daily…”
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A mixed distribution approach for low-flow frequency analysis – Part 1: Concept, performance, and effect of seasonality by Laaha, Gregor

“…In seasonal climates with a warm and a cold season, low flows are generated by different processes so that the annual extreme series will be a mixture of…”
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A mixed distribution approach for low-flow frequency analysis – Part 2: Comparative assessment of a mixed probability vs. copula-based dependence framework by Laaha, Gregor

“…In climates with a warm and a cold season, low flows are generated by different processes, which violates the homogeneity assumption of extreme value…”
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Neue Wege in der interdisziplinären Fließgewässerforschung – Vorstellung des FWF-Doktoratsprogramms „Industrialisierte Flusslandschaften“ im Rahmen der Doktoratsschule HR21 an der BOKU Wien by Hein, T., Bondar-Kunze, E., Ertl, T., Graf, W., Habersack, H., Haidvogl, G., Hauer, C., Hood-Nowotny, R., Laaha, G., Mehdi-Schulz, B., Mitter, H., Schinegger, R., Schmid, E., Schmid, M., Schmutz, S., Seher, W., Stockinger, M., Stöglehner, G., Stumpp, C., Weigelhofer, G., Langergraber, G.

“…Zusammenfassung Die meisten Flüsse der Erde sind durch interagierende soziale und natürliche Prozesse geformt und verändert worden. Als industrialisierte…”
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A comparison of statistical learning methods for deriving determining factors of accident occurrence from an imbalanced high resolution dataset by Schlögl, Matthias, Stütz, Rainer, Laaha, Gregor, Melcher, Michael

“…•A comparative assessment of methods for modeling imbalanced data is presented.•45 different variables available at high resolution are considered.•Data are…”
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Parsimonious statistical learning models for low-flow estimation by Laimighofer, Johannes, Melcher, Michael, Laaha, Gregor

“…Statistical learning methods offer a promising approach for low-flow regionalization. We examine seven statistical learning models (Lasso, linear, and…”
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Low-flow estimation beyond the mean – expectile loss and extreme gradient boosting for spatiotemporal low-flow prediction in Austria by Laimighofer, Johannes, Melcher, Michael, Laaha, Gregor

“…Accurate predictions of seasonal low flows are critical for a number of water management tasks that require inferences about water quality and the ecological…”
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