ENSO MODULATIONS ON STREAMFLOW CHARACTERISTICS
Earth Sciences Research Journal, 2010 TUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [YDABAG 102Y146]
Marti, Ali Ihsan +2 more
openaire +8 more sources
Variational Assimilation of Streamflow Observations in Improving Monthly Streamflow Forecasting [PDF]
, 2019 Abstract. Uncertainties associated with the initial conditions (e.g. soil moisture content) of a hydrologic model have been recognized as one of the main sources of errors in hydrologic predictions, specifically over a rainfall-runoff regime. Apart from the recent advances in Data Assimilation (DA) for improving hydrologic predictions, this study ...
Mazrooei, Amirhossein +2 more
openaire +2 more sources
Short-term Hourly Streamflow Prediction with Graph Convolutional GRU Networks [PDF]
arXiv, 2021 The frequency and impact of floods are expected to increase due to climate change. It is crucial to predict streamflow, consequently flooding, in order to prepare and mitigate its consequences in terms of property damage and fatalities. This paper presents a Graph Convolutional GRUs based model to predict the next 36 hours of streamflow for a sensor ...
arxiv
Streamflow classification by employing various machine learning models for peninsular Malaysia
Scientific Reports, 2023 Due to excessive streamflow (SF), Peninsular Malaysia has historically experienced floods and droughts. Forecasting streamflow to mitigate municipal and environmental damage is therefore crucial. Streamflow prediction has been extensively demonstrated in
Nouar AlDahoul +6 more
doaj +1 more source
Spatiotemporal differences in dominant drivers of streamflow evolution on the Loess Plateau
Frontiers in Earth Science, 2023 Previous studies have found that climate change and underlying surface change are the most direct and important drivers of the streamflow change in the Yellow River Basin.
Qiufen Zhang +12 more
doaj +1 more source
Assessment of Streamflow Regime Alterations in Tang River, China [PDF]
E3S Web of Conferences, 2019 The biodiversity and integrity of river ecosystems are depending on the natural streamflow regime. Therefore, assessing alteration of hydrologic regimes becomes a fundamental step in river ecosystem protection and restoration. In this paper, the Range of
Sun Yingshan +3 more
doaj +1 more source
Uncertainty in projections of streamflow changes due to climate change in California [PDF]
, 2005 Understanding the uncertainty in the projected impacts of climate change on hydrology will help decision-makers interpret the confidence in different projected future hydrologic impacts.
Duffy, Philip B., Maurer, Edwin P.
core +2 more sources
Machine Learning for Postprocessing Ensemble Streamflow Forecasts [PDF]
arXiv, 2021 Skillful streamflow forecasts can inform decisions in various areas of water policy and management. We integrate numerical weather prediction ensembles, distributed hydrological model and machine learning to generate ensemble streamflow forecasts at medium-range lead times (1 - 7 days).
arxiv
Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation [PDF]
, 2008 There is increasing consensus in the hydrologic literature that an appropriate framework for streamflow forecasting and simulation should include explicit recognition of forcing and parameter and model structural error. This paper presents a novel Markov
Braak, C.J.F., ter +4 more
core +1 more source
Behind the scenes of streamflow model performance [PDF]
Hydrology and Earth System Sciences, 2020 Abstract. Streamflow is often the only variable used to evaluate hydrological models. In a previous international comparison study, eight research groups followed an identical protocol to calibrate 12 hydrological models using observed streamflow of catchments within the Meuse basin.
L. J. E. Bouaziz +23 more
openaire +9 more sources