Relevant bibliographies by topics / Stochastic hydrological forcing

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Academic literature on the topic 'Stochastic hydrological forcing'

Author: Grafiati
Published: 14 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Stochastic hydrological forcing"

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Feng, Xue, Amilcare Porporato, and Ignacio Rodriguez-Iturbe. "Stochastic soil water balance under seasonal climates." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 471, no. 2174 (2015): 20140623. http://dx.doi.org/10.1098/rspa.2014.0623.

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The analysis of soil water partitioning in seasonally dry climates necessarily requires careful consideration of the periodic climatic forcing at the intra-annual timescale in addition to daily scale variabilities. Here, we introduce three new extensions to a stochastic soil moisture model which yields seasonal evolution of soil moisture and relevant hydrological fluxes. These approximations allow seasonal climatic forcings (e.g. rainfall and potential evapotranspiration) to be fully resolved, extending the analysis of soil water partitioning to account explicitly for the seasonal amplitude an
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Bertassello, L. E., E. Bertuzzo, G. Botter, et al. "Dynamic spatio-temporal patterns of metapopulation occupancy in patchy habitats." Royal Society Open Science 8, no. 1 (2021): 201309. http://dx.doi.org/10.1098/rsos.201309.

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Spatio-temporal dynamics in habitat suitability and connectivity among mosaics of heterogeneous wetlands are critical for biological diversity and species persistence in aquatic patchy landscapes. Despite the recognized importance of stochastic hydroclimatic forcing in driving wetlandscape hydrological dynamics, linking such effects to emergent dynamics of metapopulation poses significant challenges. To fill this gap, we propose here a dynamic stochastic patch occupancy model (SPOM), which links parsimonious hydrological and ecological models to simulate spatio-temporal patterns in species occ
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Peterson, T. J., and A. W. Western. "Multiple hydrological attractors under stochastic daily forcing: 1. Can multiple attractors exist?" Water Resources Research 50, no. 4 (2014): 2993–3009. http://dx.doi.org/10.1002/2012wr013003.

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Peterson, T. J., A. W. Western, and R. M. Argent. "Multiple hydrological attractors under stochastic daily forcing: 2. Can multiple attractors emerge?" Water Resources Research 50, no. 4 (2014): 3010–29. http://dx.doi.org/10.1002/2012wr013004.

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Pham, Minh Tu, Hilde Vernieuwe, Bernard De Baets, and Niko E. C. Verhoest. "A coupled stochastic rainfall–evapotranspiration model for hydrological impact analysis." Hydrology and Earth System Sciences 22, no. 2 (2018): 1263–83. http://dx.doi.org/10.5194/hess-22-1263-2018.

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Abstract. A hydrological impact analysis concerns the study of the consequences of certain scenarios on one or more variables or fluxes in the hydrological cycle. In such an exercise, discharge is often considered, as floods originating from extremely high discharges often cause damage. Investigating the impact of extreme discharges generally requires long time series of precipitation and evapotranspiration to be used to force a rainfall-runoff model. However, such kinds of data may not be available and one should resort to stochastically generated time series, even though the impact of using
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Janatian, Nasime, Kalle Olli, and Peeter Nõges. "Phytoplankton responses to meteorological and hydrological forcing at decadal to seasonal time scales." Hydrobiologia 848, no. 11 (2021): 2745–59. http://dx.doi.org/10.1007/s10750-021-04594-x.

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AbstractOne of the challenges for predicting global change effects on aquatic ecosystems is the vague understanding of the mechanisms of multiple controlling factors affecting phytoplankton dynamics at different time scales. Here we distinguish between hydrometeorological forcing of phytoplankton dynamics at time scales from days to decades based on a 54-year monthly phytoplankton time series from a large shallow Lake Võrtsjärv (58°16′N, 26°02′E) in Estonia, combined with daily data on forcing factors—thermal-, wind-, light- and water-level regimes. By using variance partitioning with linear m
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Sordo-Ward, Alvaro, Ivan Gabriel-Martín, Paola Bianucci, Giuseppe Mascaro, Enrique R. Vivoni, and Luis Garrote. "Stochastic Hybrid Event Based and Continuous Approach to Derive Flood Frequency Curve." Water 13, no. 14 (2021): 1931. http://dx.doi.org/10.3390/w13141931.

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This study proposes a methodology that combines the advantages of the event-based and continuous models, for the derivation of the maximum flow and maximum hydrograph volume frequency curves, by combining a stochastic continuous weather generator (the advanced weather generator, abbreviated as AWE-GEN) with a fully distributed physically based hydrological model (the TIN-based real-time integrated basin simulator, abbreviated as tRIBS) that runs both event-based and continuous simulation. The methodology is applied to Peacheater Creek, a 64 km2 basin located in Oklahoma, United States. First,
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Portoghese, I., E. Bruno, and M. Vurro. "From regional climate simulations to the hydrological information needed for basin scale impact studies." Advances in Geosciences 26 (June 30, 2010): 25–31. http://dx.doi.org/10.5194/adgeo-26-25-2010.

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Abstract. The accuracy of local downscaling of rainfall predictions provided by climate models is crucial for the assessment of climate change impacts on hydrological processes because the presence of bias in downscaled precipitation may produce large bias in the assessment of soil moisture dynamics, river flows, and groundwater recharge. In this study, the output of a regional climate model (RCM) is downscaled using a stochastic modelling of the point rainfall process able to adequately reproduce the daily rainfall intermittency which is one of the crucial aspects for the hydrological process
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Gelfan, A., V. A. Semenov, E. Gusev, et al. "Large-basin hydrological response to climate model outputs: uncertainty caused by internal atmospheric variability." Hydrology and Earth System Sciences 19, no. 6 (2015): 2737–54. http://dx.doi.org/10.5194/hess-19-2737-2015.

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Abstract. An approach is proposed to assess hydrological simulation uncertainty originating from internal atmospheric variability. The latter is one of three major factors contributing to uncertainty of simulated climate change projections (along with so-called "forcing" and "climate model" uncertainties). Importantly, the role of internal atmospheric variability is most visible over spatio-temporal scales of water management in large river basins. Internal atmospheric variability is represented by large ensemble simulations (45 members) with the ECHAM5 atmospheric general circulation model. E
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Toth, E. "Catchment classification based on characterisation of streamflow and precipitation time-series." Hydrology and Earth System Sciences Discussions 9, no. 9 (2012): 10805–28. http://dx.doi.org/10.5194/hessd-9-10805-2012.

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Abstract. The formulation of objective procedures for the delineation of homogeneous groups of catchments is a fundamental issue in both operational and research hydrology. For assessing catchment similarity, a variety of hydrological information may be considered; in this paper, gauged sites are characterised by a set of streamflow signatures that include a representation, albeit simplified, of the properties of fine time-scale flow series and in particular of the dynamic components of the data, in order to keep into account the sequential order and the stochastic nature of the streamflow pro
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Dissertations / Theses on the topic "Stochastic hydrological forcing"

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TRON, STEFANIA. "Impact of stochastic hydrological forcing on root distribution and functioning." Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2533691.

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The objective of this thesis is to study and model the influence of climate and soil on the dynamics of root water uptake and root development. The assessment of the vertical root distribution and functioning by means of simple parameters linked to hydrologic, pedologic and vegetation characteristics can be useful for several purposes, both practical and theoretical. The more important novelty brought by this work is the analysis of the effect of the stochasticity of the hydrological forcing on these root dynamics. The stochastic ecohydrological models that we have developed show how different
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Journal articles
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