Relevant bibliographies by topics / Hydrology, climate variability

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Hydrology, climate variability'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Hydrology, climate variability"

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Kuentz, A., T. Mathevet, J. Gailhard, and B. Hingray. "Building long-term and high spatio-temporal resolution precipitation and air temperature reanalyses by mixing local observations and global atmospheric reanalyses: the ANATEM model." Hydrology and Earth System Sciences 19, no. 6 (2015): 2717–36. http://dx.doi.org/10.5194/hess-19-2717-2015.

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Abstract. Efforts to improve the understanding of past climatic or hydrologic variability have received a great deal of attention in various fields of geosciences such as glaciology, dendrochronology, sedimentology and hydrology. Based on different proxies, each research community produces different kinds of climatic or hydrologic reanalyses at different spatio-temporal scales and resolutions. When considering climate or hydrology, many studies have been devoted to characterising variability, trends or breaks using observed time series representing different regions or climates of the world. H
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Kuentz, A., T. Mathevet, J. Gailhard, and B. Hingray. "Building long-term and high spatio-temporal resolution precipitation and air temperature reanalyses by mixing local observations and global atmospheric reanalyses: the ANATEM method." Hydrology and Earth System Sciences Discussions 12, no. 1 (2015): 311–61. http://dx.doi.org/10.5194/hessd-12-311-2015.

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Abstract. Improving the understanding of past climatic or hydrologic variability has received a large attention in different fields of geosciences, such as glaciology, dendrochronology, sedimentology or hydrology. Based on different proxies, each research community produces different kind of climatic or hydrologic reanalyses, at different spatio-temporal scales and resolution. When considering climate or hydrology, numerous studies aim at characterising variability, trends or breaks using observed time-series of different regions or climate of world. However, in hydrology, these studies are us
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Kallache, M., H. W. Rust, and J. Kropp. "Trend assessment: applications for hydrology and climate research." Nonlinear Processes in Geophysics 12, no. 2 (2005): 201–10. http://dx.doi.org/10.5194/npg-12-201-2005.

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Abstract. The assessment of trends in climatology and hydrology still is a matter of debate. Capturing typical properties of time series, like trends, is highly relevant for the discussion of potential impacts of global warming or flood occurrences. It provides indicators for the separation of anthropogenic signals and natural forcing factors by distinguishing between deterministic trends and stochastic variability. In this contribution river run-off data from gauges in Southern Germany are analysed regarding their trend behaviour by combining a deterministic trend component and a stochastic m
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McGuire, A. D., J. E. Walsh, J. S. Kimball, et al. "The Western Arctic Linkage Experiment (WALE): Overview and Synthesis." Earth Interactions 12, no. 7 (2008): 1–13. http://dx.doi.org/10.1175/2008ei239.1.

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Abstract The primary goal of the Western Arctic Linkage Experiment (WALE) was to better understand uncertainties of simulated hydrologic and ecosystem dynamics of the western Arctic in the context of 1) uncertainties in the data available to drive the models and 2) different approaches to simulating regional hydrology and ecosystem dynamics. Analyses of datasets on climate available for driving hydrologic and ecosystem models within the western Arctic during the late twentieth century indicate that there are substantial differences among the mean states of datasets for temperature, precipitati
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Massei, Nicolas, Daniel G. Kingston, David M. Hannah, et al. "Understanding and predicting large-scale hydrological variability in a changing environment." Proceedings of the International Association of Hydrological Sciences 383 (September 16, 2020): 141–49. http://dx.doi.org/10.5194/piahs-383-141-2020.

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Abstract. In a context of climate, environmental, ecological and socio-economical changes, understanding and predicting the response of hydrological systems on regional to global spatial scales, and on infra-seasonal to multidecadal time-scales, are major topics that must be considered to tackle the challenge of water resource management sustainability. In this context, a number of strongly-linked key issues need to be addressed by the scientific community, including: (i) identifying climate drivers of hydrological variations, (ii) understanding the multi-frequency characteristics of hydroclim
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Maneta, M. P., and N. L. Silverman. "A Spatially Distributed Model to Simulate Water, Energy, and Vegetation Dynamics Using Information from Regional Climate Models." Earth Interactions 17, no. 11 (2013): 1–44. http://dx.doi.org/10.1175/2012ei000472.1.

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Abstract Studies seeking to understand the impacts of climate variability and change on the hydrology of a region need to take into account the dynamics of vegetation and its interaction with the hydrologic and energy cycles. Yet, most of the hydrologic models used for these kinds of studies assume that vegetation is static. This paper presents a dynamic, spatially explicit model that couples a vertical energy balance scheme (surface and canopy layer) to a hydrologic model and a forest growth component to capture the dynamic interactions between energy, vegetation, and hydrology at hourly to d
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Sun, Fubao, Michael L. Roderick, and Graham D. Farquhar. "Rainfall statistics, stationarity, and climate change." Proceedings of the National Academy of Sciences 115, no. 10 (2018): 2305–10. http://dx.doi.org/10.1073/pnas.1705349115.

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There is a growing research interest in the detection of changes in hydrologic and climatic time series. Stationarity can be assessed using the autocorrelation function, but this is not yet common practice in hydrology and climate. Here, we use a global land-based gridded annual precipitation (hereafter P) database (1940–2009) and find that the lag 1 autocorrelation coefficient is statistically significant at around 14% of the global land surface, implying nonstationary behavior (90% confidence). In contrast, around 76% of the global land surface shows little or no change, implying stationary
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Troin, Magali, Richard Arsenault, Jean-Luc Martel, and François Brissette. "Uncertainty of Hydrological Model Components in Climate Change Studies over Two Nordic Quebec Catchments." Journal of Hydrometeorology 19, no. 1 (2018): 27–46. http://dx.doi.org/10.1175/jhm-d-17-0002.1.

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Abstract Projected climate change effects on hydrology are investigated for the 2041–60 horizon under the A2 emission scenarios using a multimodel approach over two snowmelt-dominated catchments in Canada. An ensemble of 105 members was obtained by combining seven snow models (SMs), five potential evapotranspiration (PET) methods, and three hydrological model (HM) structures. The study was performed using high-resolution simulations from the Canadian Regional Climate Model (CRCM–15 km) driven by two members of the third-generation Canadian Coupled Global Climate Model (CGCM3). This study aims
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Bonell, M. "Tropical forest hydrology and the role of the UNESCO International Hydrological Programme." Hydrology and Earth System Sciences 3, no. 4 (1999): 451–61. http://dx.doi.org/10.5194/hess-3-451-1999.

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Abstract. The paper outlines a perspective on tropical forest hydrology within the context of an international hydrological programme. Experience in tropical forest hydrology research in North East Australia is a focal point for comparison with international activities elsewhere. The impacts of climate variability and change are considered briefly, as well as those of reforestation of degraded land on the land use hydrology, which requires a longer term vision and support of long term experimental catchments. Sadly, too few long term experimental catchments have been maintained in the humid tr
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Charles, S. P., B. C. Bates, and N. R. Viney. "Linking atmospheric circulation to daily rainfall patterns across the Murrumbidgee River Basin." Water Science and Technology 48, no. 7 (2003): 233–40. http://dx.doi.org/10.2166/wst.2003.0445.

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The hydrological cycle in Australia covers an extraordinary range of climatic and hydrologic regimes. It is now widely accepted that Australian hydrology is significantly different from all other regions and continents with the partial exception of southern Africa. Rainfall variability is very high in almost all regions with respect to amount and the lengths of wet and dry spells. These factors are keys to the behaviour and health of Australian aquatic ecosystems and water resources. Thus assessment of how rainfall may change under a potential future climate is critical. For a case study of th
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Dissertations / Theses on the topic "Hydrology, climate variability"

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Switanek, Matthew. "Forecasting Climate and Water Resources in the Context of Natural Variability and Climate Change." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/297026.

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The water resources of the Southwestern United States are under significant stress. The historical record of the Colorado River indicates that the commitment allocations (7.5 million acre-feet to both the Upper and Lower Colorado basin states, and 1.5 maf for Mexico) have overestimated the average available streamflow. Compounding the supply problem, the Bureau of Reclamation has projected an average decrease of 9% in the Colorado River streamflow between the years 2011-2060. Improving forecasts of climate and streamflow, at nearly all time scales, is imperative to most effectively manage thes
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Liu, Ganming. "Hydrologic Response of Surface Waters in the Prairie Pothole Region to Climate Variability." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1313170630.

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Parry, Louise Margaret. "Monsoon variability, climate change and impacts on hydrology in the Himalaya." Thesis, University of Bristol, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715813.

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Switanek, Matthew. "Improving Seasonal to Annual Predictions of Climate Variability and Water Availability at the Catchment Scale." Thesis, The University of Arizona, 2008. http://hdl.handle.net/10150/193313.

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In a water-stressed region, such as the southwestern United States, it is essential to improve current seasonal hydroclimatic predictions. Typically, seasonal hydroclimatic predictions have been conditioned by standard climate indices, e.g., NINO3 and PDO. In this work, a methodology called basin-specific climate prediction (BSCP) is proposed to improve hydroclimatic predictions. The method analyzes the statistically unique relationships between sea surface temperatures (SSTs) and a basin's hydroclimate. The oceanic region which maximizes the correlation is subsequently used as a predictor for
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Woodhouse, Connie Ann 1957. "Climate variability in the Southwestern United States as reconstructed from tree-ring chronologies." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/191204.

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The primary goal of this research is to gain a better understanding of the spatial and temporal relationships between atmospheric circulation features and winter climate variability in the southwestern United States, and to investigate the variations in these relationships over the past three centuries. A set of six circulation indices is compiled that describes circulation features important to winter climate variability in this region. This set includes pre-existing indices such as the SOI and a modified PNA index, as well as regionally-tailored indices. A network of 88 tree-ring chronologie
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McCabe, Gregory J., David M. Wolock, Gregory T. Pederson, Connie A. Woodhouse, and Stephanie McAfee. "Evidence that Recent Warming is Reducing Upper Colorado River Flows." AMER GEOPHYSICAL UNION, 2017. http://hdl.handle.net/10150/626427.

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The upper Colorado River basin (UCRB) is one of the primary sources of water for the western United States, and increasing temperatures likely will elevate the risk of reduced water supply in the basin. Although variability in water-year precipitation explains more of the variability in water-year UCRB streamflow than water-year UCRB temperature, since the late 1980s, increases in temperature in the UCRB have caused a substantial reduction in UCRB runoff efficiency (the ratio of streamflow to precipitation). These reductions in flow because of increasing temperatures are the largest documented
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Bhandari, Ranjit. "ANALYZING STREAMFLOW VARIABILITY UNDER CMIP5 PROJECTIONS USING SWAT MODEL." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2363.

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For analyzing the effect of climate change on the streamflow at a regional scale, six General Circulation Models (GCMs) were selected from among eighteen GCMs from the Coupled Model Intercomparison Project (CMIP5) for the Pajaro River Watershed in central California. The 1/8° latitude-longitude resolution bias-corrected and downscaled CMIP5 projections were utilized for an ensemble of GCMs under four Representative Concentration Pathways (RCP2.6, RCP4.5, RCP6.0 and RCP8.5). The twenty-first century is segregated into three time-periods (2016-2039, 2040-2069 and 2070-2099) for comparing the str
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Burkhart, John F. "Variability of nitrogen deposition and preservation over the Greenland Ice Sheet." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1069%5F1%5Fm.pdf&type=application/pdf.

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Mwangi, Hosea Munge. "Impact of land use change and climate variability on watershed hydrology in the Mara River Basin, East Africa." Thesis, Bangor University, 2016. https://research.bangor.ac.uk/portal/en/theses/impact-of-land-use-change-and-climate-variability-on-watershed-hydrology-in-the-mara-river-basin-east-africa(54692d94-33ee-40a5-9475-d5f1f7148be3).html.

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Land use change and climate variability are the main drivers of watershed hydrological processes. The main objective of this study was to assess the impact of land use change and climate variability on hydrology of the Mara River Basin in East Africa. Land use maps generated from satellite images were analyzed using the intensity analysis approach to determine the patterns, dynamics and intensity of land use change. Changes in measured streamflow caused separately by land use change and climate variability were separated using the catchment water-energy budget based approach of Budyko framewor
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Mwangi, Hosea Munge. "Impact of Land Use Change and Climate Variability on Watershed Hydrology in the Mara River Basin, East Africa." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-209530.

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Land use change and climate variability are the main drivers of watershed hydrological processes. The main objective of this study was to assess the impact of land use change and climate variability on hydrology of the Mara River Basin in East Africa. Land use maps generated from satellite images were analyzed using the intensity analysis approach to determine the patterns, dynamics and intensity of land use change. Changes in measured streamflow caused separately by land use change and climate variability were separated using the catchment water-energy budget based approach of Budyko framewor
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Books on the topic "Hydrology, climate variability"

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Siegfried, Demuth, IAHS International Commission on Water Resources Systems., and Flow Regimes from International Experimental and Network Data (Project), eds. Climate variability and change--hydrological impacts. IAHS, 2006.

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Nuttle, W. K. Adaption to climate change and variability in Canadian water resources. Environment Canada, 1993.

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Nuttle, W. K. Adaptation to climate change and variability in Canadian water resources. Environment Canada, 1993.

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Dai, Zhaohua. Effects of climate variability on forest hydrology and carbon sequestration on the Santee Experimental Forest in coastal South Carolina. United States Department of Agriculture, Forest Service, Southern Research Station, 2013.

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Aragón, Carlos A. Development and testing of a semi-distributed watershed model: Case studies exploring the impact of climate variability and change in the Rio Salado. New Mexico Water Resources Research Institute, New Mexico State University, 2008.

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Extreme Hydrology and Climate Variability. Elsevier, 2019. http://dx.doi.org/10.1016/c2017-0-04193-9.

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Impacts of Climate Change and Climate Variability on Hydrological Regimes. Cambridge University Press, 2003.

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Dam, Jan C. van, 1931- and Unesco, eds. Impacts of climate change and climate variability on hydrological regimes. Cambridge University Press, 1999.

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Eslamian, Saeid. Handbook of Engineering Hydrology: Modeling Climate Change and Variability. Taylor & Francis Group, 2014.

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I, Solomon S., Beran Max, Hogg W. D, and International Union of Geodesy and Geophysics. General Assembly, eds. The Influence of climate change and climatic variability on the hydrologic regime and water resources. International Association of Hydrological Sciences, 1987.

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Book chapters on the topic "Hydrology, climate variability"

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Walsh, John E. "Arctic Climate Change, Variability, and Extremes." In Arctic Hydrology, Permafrost and Ecosystems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50930-9_1.

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Yildiz, Osman, and Ana P. Barros. "Climate Variability, Water Resources, and Hydrologic Extremes - Modeling the Water and Energy Budgets." In Climate and Hydrology in Mountain Areas. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470858249.ch20.

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Bonell, M. "Possible Impacts of Climate Variability and Change on Tropical Forest Hydrology." In Potential Impacts of Climate Change on Tropical Forest Ecosystems. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-2730-3_4.

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Woods, Ross, Rodger Grayson, Andrew Western, et al. "Experimental design and initial results from the Mahurangi River variability experiment: MARVEX." In Land Surface Hydrology, Meteorology, and Climate: Observations and Modeling. American Geophysical Union, 2001. http://dx.doi.org/10.1029/ws003p0201.

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Hallouz, Faiza, Hafsa Karahacane, Mohamed Meddi, et al. "Impact of Climate Variability on Hydrology of the Western Mitidja Watershed, Algeria." In Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70548-4_221.

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Mohr, Karen I., James S. Famiglietti, and Aaron Boone. "The effect of sub-grid variability of soil moisture on the simulation of mesoscale watershed hydrology: A case study from the Southern Great Plains 1997 Hydrology Experiment." In Land Surface Hydrology, Meteorology, and Climate: Observations and Modeling. American Geophysical Union, 2001. http://dx.doi.org/10.1029/ws003p0161.

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Muller, Robert A., and John D. McLaughlin. "More Frequent Flooding in Louisiana: Climatic Variability?" In Flood Hydrology. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3957-8_4.

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Kaczmarek, Zdzislaw, Kenneth M. Strzepek, and László Somlyódy. "Water Resources Management Under Climatic Variability." In Water Resources Management in the Face of Climatic/Hydrologic Uncertainties. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0207-7_15.

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"Climate: hydrology." In River Variability and Complexity. Cambridge University Press, 2005. http://dx.doi.org/10.1017/cbo9781139165440.009.

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Choubin, Bahram, Hossein Roshan, Farzaneh Sajedi-Hosseini, Omid Rahmati, Assefa M. Melesse, and Vijay P. Singh. "Effects of large-scale climate signals on snow cover in Khersan watershed, Iran." In Extreme Hydrology and Climate Variability. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-815998-9.00001-4.

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Conference papers on the topic "Hydrology, climate variability"

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"Impacts of Variability of Climate Datasets on Watershed Hydrology under Changing Climate." In ASABE 1st Climate Change Symposium: Adaptation and Mitigation. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/cc.2015212391.

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Steinschneider, S., C. Brown, R. N. Palmer, and D. Ahlfeld. "Hydrology Models for Climate Change Assessment: Inter-Decadal Climate Variability and Parameter Calibration." In World Environmental and Water Resources Congress 2011. American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41173(414)428.

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Zhang, Wanchang, and Hao Chen. "Modelling spatial and temporal variability of hydrologic impacts under climate changes over the Nenjiang River Basin, China." In Remote Sensing for Agriculture, Ecosystems, and Hydrology, edited by Christopher M. Neale and Antonino Maltese. SPIE, 2017. http://dx.doi.org/10.1117/12.2278357.

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Zeleňáková, Martina, Pavol Purcz, and Helena Hlavatá. "Trend Detection in Precipitation Data in Climatic Station." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.096.

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Trends and changes in precipitation extremes have been a focus of research over the past decade. Observations show that changes are occurring in the amount, intensity, frequency and type of precipitation. Climate variability has created the need to study subsequent changes in hydroclimatic variables (e.g. rainfall, streamflow and evapotranspira-tion) to understand the regional effects of climate change. Mainly agricultural activities and water management activi-ties – water supply, urban drainage, and hydraulic structures management are patterned according to rainfall seasonality. Trend detect
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Kalra, Ajay, and Sajjad Ahmad. "Incorporating Climate Variability in a Nonparametric Modeling Framework for Improving Hydrologic Predictions." In World Environmental and Water Resources Congress 2014. American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413548.067.

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Sapač, Klaudija, Simon Rusjan, Nejc Bezak, and Mojca Šraj. "ANALYSIS OF LOW-FLOW CONDITIONS IN A HETEROGENEOUS KARST CATCHMENT AS A BASIS FOR FUTURE PLANNING OF WATER RESOURCE MANAGEMENT." In XXVII Conference of the Danubian Countries on Hydrological Forecasting and Hydrological Bases of Water Management. Nika-Tsentr, 2020. http://dx.doi.org/10.15407/uhmi.conference.01.20.

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Understanding and prediction of low-flow conditions are fundamental for efficient water resources planning and management as well as for identification of water-related environmental problems. This is problematic especially in view of water use in economic sectors (e.g., tourism) where water-use peaks usually coincide with low-flow conditions in the summer time. In our study, we evaluated various low-flow characteristics at 11 water stations in the non-homogenous Ljubljanica river catchment in Slovenia. Approximately 90% of the catchment is covered by karst with a diverse subsurface, consistin
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Katz, Sarah A., David P. Gillikin, Donald T. Rodbell, and Hai Cheng. "CLIMATIC AND HYDROLOGIC VARIABILITY RECORDED IN A MID- TO LATE-HOLOCENE CENTRAL NY SPELEOTHEM." In GSA Annual Meeting in Indianapolis, Indiana, USA - 2018. Geological Society of America, 2018. http://dx.doi.org/10.1130/abs/2018am-321397.

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Reports on the topic "Hydrology, climate variability"

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Dai, Zhaohua, Carl C. Trettin, and Devendra M. Amatya. Effects of climate variability on forest hydrology and carbon sequestration on the Santee Experimental Forest in coastal South Carolina. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2013. http://dx.doi.org/10.2737/srs-gtr-172.

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Dai, Zhaohua, Carl C. Trettin, and Devendra M. Amatya. Effects of climate variability on forest hydrology and carbon sequestration on the Santee Experimental Forest in coastal South Carolina. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2013. http://dx.doi.org/10.2737/srs-gtr-172.

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Yeates, Elissa, Kayla Cotterman, and Angela Rhodes. Hydrologic impacts on human health : El Niño Southern Oscillation and cholera. Engineer Research and Development Center (U.S.), 2020. http://dx.doi.org/10.21079/11681/39483.

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A non-stationary climate imposes considerable challenges regarding potential public health concerns. The El Niño Southern Oscillation (ENSO) cycle, which occurs every 2 to 7 years, correlates positively with occurrences of the waterborne disease cholera. The warm sea surface temperatures and extreme weather associated with ENSO create optimal conditions for breeding the Vibrio cholerae pathogen and for human exposure to the pathogenic waters. This work explored the impacts of ENSO on cholera occurrence rates over the past 50 years by examining annual rates of suspected cholera cases per countr
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