Results 111 to 120 of about 24,488,859 (359)

Large-Scale Hydrological and Sediment Modeling in Nested Domains under Current and Changing Climate

open access: yes, 2021
Continental and global dynamic hydrological models have emerged recently as tools for large-scale analyses. One such tool is a dynamic process-based rainfall-runoff and water quality model called Hydrological Predictions for Environment (HYPE).
Arheimer, Berit   +4 more
core   +1 more source

Lost in aggregation? On the importance of local food price data for food poverty estimates

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich   +4 more
wiley   +1 more source

Possibilities of Using the Direct Runoff Model KINFIL for a Road Network Design

open access: yesSoil and Water Research, 2006
The paper provides a practical implementation of the hydrological model KINFIL to be used for design­ing an optimal road density system in areas where agricultural or forestry production does not play an important role.
Pavel Kovář   +2 more
doaj   +1 more source

Climate change and perennial crop production: Evidence of yield impact and adaptation in California

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Perennial crops are economically important. They contribute to food security, providing essential nutrients that are often lacking in annual crops, and provide additional environmental benefits compared with annual crops. Despite their importance, empirical research on the impacts of climate change and adaptation on perennial crops remains ...
Yuanyuan Wen   +2 more
wiley   +1 more source

Deep Learning Prediction of Streamflow in Portugal

open access: yesHydrology
The transformative potential of deep learning models is felt in many research fields, including hydrology and water resources. This study investigates the effectiveness of the Temporal Fusion Transformer (TFT), a deep neural network architecture for ...
Rafael Francisco, José Pedro Matos
doaj   +1 more source

Hydrological models are mediating models [PDF]

open access: yes, 2013
Abstract. Despite the increasing role of models in hydrological research and decision-making processes, only few accounts of the nature and function of models exist in hydrology. Earlier considerations have traditionally been conducted while making a clear distinction between physically-based and conceptual models.
L. V. Babel, D. Karssenberg
openaire   +4 more sources

Evaluation of a probabilistic hydrometeorological forecast system

open access: yes, 2009
Medium range hydrological forecasts in mesoscale catchments are only possible with the use of hydrological models driven by meteorological forecasts, which in particular contribute quantitative precipitation forecasts (QPF). QPFs are accompanied by large
Jaun, Simon   +3 more
core   +1 more source

A probabilistic view on the August 2005 floods in the upper Rhine catchment [PDF]

open access: yes, 2008
Appropriate precautions in the case of flood occurrence often require long lead times (several days) in hydrological forecasting. This in turn implies large uncertainties that are mainly inherited from the meteorological precipitation forecast.
Ewen, Tracy   +21 more
core   +1 more source

Food insecurity and unemployment among immigrants in the United States

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Immigrants can be more vulnerable to economic downturns and, during periods of economic hardship, more likely to experience food insecurity compared to natives. This study examines the differential effect of the unemployment rate on the probability of being food insecure among diverse groups of immigrant households relative to natives in the ...
Siwen Zhou   +3 more
wiley   +1 more source

Quantifying the impact of model inaccuracy in climate change impact assessment studies using an agro-hydrological model

open access: yes, 2008
Numerical simulation models are frequently applied to assess the impact of climate change on hydrology and agriculture. A common hypothesis is that unavoidable model errors are reflected in the reference situation as well as in the climate change ...
Loon, A.F., van   +2 more
core   +1 more source

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