Sökning: "Thomas J. Grabs"

Hittade 2 avhandlingar innehållade orden Thomas J. Grabs.

  1. 1. Flood Prediction in data-scarce basins : Maximising the value of limited hydro-meteorological data

    Författare :José Eduardo Reynolds Puga; Sven Halldin; Chong-Yu Xu; Jan Seibert; Thomas J. Grabs; Vazken Andréassian; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Floods; data scarcity; value of information; rainfall-runoff modelling; regionalisation; rainfall-forecasts; event-based calibration; climatological day; discharge day; temporal resolution; modelling time-step.; Databrist; flödestoppsbaserad kalibrering; högflöde; informationsvärde; klimatologiskt dygn; nederbörds-avrinningsmodell; modelltidssteg; regionalisering; regnprognos; tids-upplösning; vattenföringsdygn; översvämning.; Inundaciones; falta de datos; valor de información; modelos lluvia escorrentía; regionalización; pronósticos de lluvia; definición del día; resolución temporal; paso de tiempo.;

    Sammanfattning : Floods pose a threat to society that can cause large socio-economic damages and loss of life in many parts of the world. Flood-forecasting models are required to provide simulations at temporal resolutions higher than a day in basins with concentration times smaller than 24 h. LÄS MER

  3. 2. Reducing uncertainties in climate change impact studies through uni- and multivariate methods : A Nordic perspective

    Författare :Faranak Tootoonchi; Claudia Teutschbein; Jan O. Haerter; Olle Räty; Thomas Grabs; Alex J. Cannon; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Climate change; precipitation and temperature; bias adjustment; bias correction; univariate and multivariate methods; hydrologic signatures; drought; Sweden; Geovetenskap med inriktning mot miljöanalys; Earth Science with specialization in Environmental Analysis;

    Sammanfattning : Climate change poses undeniable impacts on hydroclimatic processes due to simultaneous effects of rising temperature and changing precipitation patterns. To quantify these impacts, simulations of climate variables are typically retrieved from climate models, which are then downscaled and bias-adjusted for a particular study site. LÄS MER