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Hydrological drought explained
AF Van Loon - Wiley Interdisciplinary Reviews: Water, 2015 - Wiley Online Library
Drought is a complex natural hazard that impacts ecosystems and society in many ways.
Many of these impacts are associated with hydrological drought (drought in rivers, lakes …
Many of these impacts are associated with hydrological drought (drought in rivers, lakes …
[HTML][HTML] Sources of hydrological model uncertainties and advances in their analysis
Water | Free Full-Text | Review: Sources of Hydrological Model Uncertainties and Advances
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …
An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
Process-based hydrological models have a long history dating back to the 1960s. Criticized
by some as over-parameterized, overly complex, and difficult to use, a more nuanced view is …
by some as over-parameterized, overly complex, and difficult to use, a more nuanced view is …
Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years
Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …
research embracing a broad spectrum of operational situations. This work catalogs the …
Ensemble flood forecasting: Current status and future opportunities
Ensemble flood forecasting has gained significant momentum over the past decade due to
the growth of ensemble numerical weather and climate prediction, expansion in high …
the growth of ensemble numerical weather and climate prediction, expansion in high …
Modeling causes of death: an integrated approach using CODEm
Background Data on causes of death by age and sex are a critical input into health decision-
making. Priority setting in public health should be informed not only by the current …
making. Priority setting in public health should be informed not only by the current …
Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality
This review and commentary sets out the need for authoritative and concise information on
the expected error distributions and magnitudes in observational data. We discuss the …
the expected error distributions and magnitudes in observational data. We discuss the …
[PDF][PDF] Catchment scale hydrological modelling: A review of model types, calibration approaches and uncertainty analysis methods in the context of recent …
In catchment hydrology, it is in practice impossible to measure everything we would like to
know about the hydrological system, mainly due to high catchment heterogeneity and the …
know about the hydrological system, mainly due to high catchment heterogeneity and the …
Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation
There is increasing consensus in the hydrologic literature that an appropriate framework for
streamflow forecasting and simulation should include explicit recognition of forcing and …
streamflow forecasting and simulation should include explicit recognition of forcing and …
Refining the causal loop diagram: A tutorial for maximizing the contribution of domain expertise in computational system dynamics modeling.
L Crielaard, JF Uleman, BDL Châtel… - Psychological …, 2024 - psycnet.apa.org
Complexity science and systems thinking are increasingly recognized as relevant
paradigms for studying systems where biology, psychology, and socioenvironmental factors …
paradigms for studying systems where biology, psychology, and socioenvironmental factors …