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Journal articles on the topic 'Operational hydrology'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

Simonovic, Slobodan P. "Knowledge-based systems and operational hydrology." Canadian Journal of Civil Engineering 18, no. 1 (1991): 1–11. http://dx.doi.org/10.1139/l91-001.

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Knowledge-based systems were brought to the attention of hydrologists almost a decade ago. The application of knowledge-based systems technology is natural and appropriate for the field of hydrology because it contains numerous procedures developed from theory, actual practice, and experience. The emphasis of the present paper is on demystifying knowledge-based systems of artificial intelligence. After a detailed review of the most important applications to the field of hydrology, the original concept for applying knowledge-based technology is presented. The discussion ends with the list of po

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2

Croley II, Thomas E. "Mixing Probabilistic Meteorology Outlooks in Operational Hydrology." Journal of Hydrologic Engineering 2, no. 4 (1997): 161–68. http://dx.doi.org/10.1061/(asce)1084-0699(1997)2:4(161).

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3

Fernandez, Bonifacio, and Jose D. Salas. "Periodic Gamma Autoregressive Processes for Operational Hydrology." Water Resources Research 22, no. 10 (1986): 1385–96. http://dx.doi.org/10.1029/wr022i010p01385.

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4

Croley II, Thomas E. "Using NOAA's New Climate Outlooks in Operational Hydrology." Journal of Hydrologic Engineering 1, no. 3 (1996): 93–102. http://dx.doi.org/10.1061/(asce)1084-0699(1996)1:3(93).

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5

Seo, Dong-Jun, Yuqiong Liu, Hamid Moradkhani, and Albrecht Weerts. "Ensemble prediction and data assimilation for operational hydrology." Journal of Hydrology 519 (November 2014): 2661–62. http://dx.doi.org/10.1016/j.jhydrol.2014.11.035.

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6

Terink, W., A. F. Lutz, G. W. H. Simons, W. W. Immerzeel, and P. Droogers. "SPHY v2.0: Spatial Processes in HYdrology." Geoscientific Model Development 8, no. 7 (2015): 2009–34. http://dx.doi.org/10.5194/gmd-8-2009-2015.

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Abstract. This paper introduces and presents the Spatial Processes in HYdrology (SPHY) model (v2.0), its development background, its underlying concepts, and some example applications. SPHY has been developed with the explicit aim of simulating terrestrial hydrology on flexible scales, under various physiographical and hydroclimatic conditions, by integrating key components from existing and well-tested models. SPHY is a spatially distributed leaky bucket type of model, and is applied on a cell-by-cell basis. The model is written in the Python programming language using the PCRaster dynamic mo

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Burkhart, John F., Felix N. Matt, Sigbjørn Helset, Yisak Sultan Abdella, Ola Skavhaug, and Olga Silantyeva. "Shyft v4.8: a framework for uncertainty assessment and distributed hydrologic modeling for operational hydrology." Geoscientific Model Development 14, no. 2 (2021): 821–42. http://dx.doi.org/10.5194/gmd-14-821-2021.

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Abstract. This paper presents Shyft, a novel hydrologic modeling software for streamflow forecasting targeted for use in hydropower production environments and research. The software enables rapid development and implementation in operational settings and the capability to perform distributed hydrologic modeling with multiple model and forcing configurations. Multiple models may be built up through the creation of hydrologic algorithms from a library of well-known routines or through the creation of new routines, each defined for processes such as evapotranspiration, snow accumulation and melt

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Montes, Nicolás, José Ángel Aranda, and Rafael García-Bartual. "Real Time Flow Forecasting in a Mountain River Catchment Using Conceptual Models with Simple Error Correction Scheme." Water 12, no. 5 (2020): 1484. http://dx.doi.org/10.3390/w12051484.

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Methods in operational hydrology for real-time flash-flood forecasting need to be simple enough to match requirements of real-time system management. For this reason, hydrologic routing methods are widely used in river engineering. Among them, the popular Muskingum method is the most extended one, due to its simplicity and parsimonious formulation involving only two parameters. In the present application, two simple conceptual models with an error correction scheme were used. They were applied in practice to a mountain catchment located in the central Pyrenees (North of Spain), where occasiona

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Mugnai, A., D. Casella, E. Cattani, et al. "Precipitation products from the hydrology SAF." Natural Hazards and Earth System Sciences 13, no. 8 (2013): 1959–81. http://dx.doi.org/10.5194/nhess-13-1959-2013.

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Abstract. The EUMETSAT Satellite Application Facility on Support to Operational Hydrology and Water Management (H-SAF) was established by the EUMETSAT Council on 3 July 2005, starting activity on 1 September 2005. The Italian Meteorological Service serves as Leading Entity on behalf of twelve European member countries. H-SAF products include precipitation, soil moisture and snow parameters. Some products are based only on satellite observations, while other products are based on the assimilation of satellite measurements/products into numerical models. In addition to product development and ge

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Terink, W., A. F. Lutz, G. W. H. Simons, W. W. Immerzeel, and P. Droogers. "SPHY v2.0: Spatial Processes in HYdrology." Geoscientific Model Development Discussions 8, no. 2 (2015): 1687–748. http://dx.doi.org/10.5194/gmdd-8-1687-2015.

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Abstract. This paper introduces and presents the Spatial Processes in HYdrology (SPHY) model (v2.0), its development background, its underlying concepts, and some typical applications. The SPHY model is developed using the best components of existing and well-tested simulation models, and is developed with the explicit aim to simulate terrestrial hydrology at flexible scales, under various land use and climate conditions. SPHY is a spatially distributed leaky bucket type of model, and is applied on a cell-by-cell basis. The model is written in the Python programming language using the PCRaster

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Kuzmich, A. I., O. V. Baranovski, and A. N. Valvachev. "Hydrology objects monitoring system." «System analysis and applied information science», no. 4 (December 30, 2019): 25–31. http://dx.doi.org/10.21122/2309-4923-2019-4-25-31.

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The article deals with the results of the development of monitoring system of potentially dangerous hydro-objects. The formal statement of the problem, models of the monitoring scene and its participants are presented. The scene is initially focused on the gradual replacement of participants-people on systems with artificial intelligence. The models are unified and can be refined to the level of program code. On the basis of models the proactive algorithm of monitoring providing fixing of dangerous situations at an initial stage of their emergence and operational synthesis of the corresponding

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Lienert, Christophe, Rolf Weingartner, and Lorenz Hurni. "Real-Time Visualization in Operational Hydrology through Web-based Cartography." Cartography and Geographic Information Science 36, no. 1 (2009): 45–58. http://dx.doi.org/10.1559/152304009787340188.

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13

Zsoter, Ervin, Hannah Cloke, Elisabeth Stephens, et al. "How Well Do Operational Numerical Weather Prediction Configurations Represent Hydrology?" Journal of Hydrometeorology 20, no. 8 (2019): 1533–52. http://dx.doi.org/10.1175/jhm-d-18-0086.1.

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Abstract Land surface models (LSMs) have traditionally been designed to focus on providing lower-boundary conditions to the atmosphere with less focus on hydrological processes. State-of-the-art application of LSMs includes a land data assimilation system (LDAS), which incorporates available land surface observations to provide an improved realism of surface conditions. While improved representations of the surface variables (such as soil moisture and snow depth) make LDAS an essential component of any numerical weather prediction (NWP) system, the related increments remove or add water, poten

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Gourley, Jonathan J., Yang Hong, Zachary L. Flamig, Jiahu Wang, Humberto Vergara, and Emmanouil N. Anagnostou. "Hydrologic Evaluation of Rainfall Estimates from Radar, Satellite, Gauge, and Combinations on Ft. Cobb Basin, Oklahoma." Journal of Hydrometeorology 12, no. 5 (2011): 973–88. http://dx.doi.org/10.1175/2011jhm1287.1.

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Abstract This study evaluates rainfall estimates from the Next Generation Weather Radar (NEXRAD), operational rain gauges, Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA), and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) in the context as inputs to a calibrated, distributed hydrologic model. A high-density Micronet of rain gauges on the 342-km2 Ft. Cobb basin in Oklahoma was used as reference rainfall to calibrate the National Weather Service’s (NWS) Hydrology Labora

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Barrett, E. C., M. J. Beaumont, and R. W. Herschy. "Satellite remote sensing for operational hydrology: Present needs and future opportunities." Remote Sensing Reviews 4, no. 2 (1990): 451–66. http://dx.doi.org/10.1080/02757259009532113.

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RANGO, ALBERT, and AHLAM I. SHALABY. "Operational applications of remote sensing in hydrology: success, prospects and problems." Hydrological Sciences Journal 43, no. 6 (1998): 947–68. http://dx.doi.org/10.1080/02626669809492189.

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Yussouf, Nusrat, Katie A. Wilson, Steven M. Martinaitis, Humberto Vergara, Pamela L. Heinselman, and Jonathan J. Gourley. "The Coupling of NSSL Warn-on-Forecast and FLASH Systems for Probabilistic Flash Flood Prediction." Journal of Hydrometeorology 21, no. 1 (2020): 123–41. http://dx.doi.org/10.1175/jhm-d-19-0131.1.

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AbstractThe goal of the National Oceanic and Atmospheric Administration’s (NOAA) Warn-on-Forecast (WoF) program is to provide frequently updating, probabilistic model guidance that will enable National Weather Service (NWS) forecasters to produce more continuous communication of hazardous weather threats (e.g., heavy rainfall, flash floods, damaging wind, large hail, and tornadoes) between the watch and warning temporal and spatial scales. To evaluate the application of this WoF concept for probabilistic short-term flash flood prediction, the 0–3-h rainfall forecasts from NOAA National Severe

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Leese, John A. "Remote sensing applications in the meteorology and operational hydrology programmes of WMO." Advances in Space Research 7, no. 3 (1987): 49–57. http://dx.doi.org/10.1016/0273-1177(87)90123-2.

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19

Farahmand, Alireza, E. Natasha Stavros, John T. Reager, Ali Behrangi, James T. Randerson, and Brad Quayle. "Satellite hydrology observations as operational indicators of forecasted fire danger across the contiguous United States." Natural Hazards and Earth System Sciences 20, no. 4 (2020): 1097–106. http://dx.doi.org/10.5194/nhess-20-1097-2020.

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Abstract. Traditional methods for assessing fire danger often depend on meteorological forecasts, which have reduced reliability after ∼10 d. Recent studies have demonstrated long lead-time correlations between pre-fire-season hydrological variables such as soil moisture and later fire occurrence or area burned, yet the potential value of these relationships for operational forecasting has not been studied. Here, we use soil moisture data refined by remote sensing observations of terrestrial water storage from NASA's Gravity Recovery and Climate Experiment (GRACE) mission and vapor pressure de

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20

Alam, Undala, Ousmane Dione, and Paul Jeffrey. "Hydrology vs sovereignty: managing the hydrological interdependency of international rivers." Water Policy 13, no. 3 (2010): 425–42. http://dx.doi.org/10.2166/wp.2010.119.

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In managing international rivers, governments are subject to two different boundaries. The socio-politically constructed boundaries governed by sovereignty and the physical boundaries imposed by the river's hydrology. The existence of a hydrological interdependency within an international basin means that “how” it is managed is important in constructing certainty in water supply. We compare two experiences from Europe and Africa to see the effect of sovereignty on the management of a basin's hydro-interdependency. Portugal and Spain have followed a Westphalian interpretation of sovereignty in

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Kollet, Stefan, Fabian Gasper, Slavko Brdar, et al. "Introduction of an Experimental Terrestrial Forecasting/Monitoring System at Regional to Continental Scales Based on the Terrestrial Systems Modeling Platform (v1.1.0)." Water 10, no. 11 (2018): 1697. http://dx.doi.org/10.3390/w10111697.

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Operational weather and flood forecasting has been performed successfully for decades and is of great socioeconomic importance. Up to now, forecast products focus on atmospheric variables, such as precipitation, air temperature and, in hydrology, on river discharge. Considering the full terrestrial system from groundwater across the land surface into the atmosphere, a number of important hydrologic variables are missing especially with regard to the shallow and deeper subsurface (e.g., groundwater), which are gaining considerable attention in the context of global change. In this study, we pro

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Amatya, Devendra M., and Carl C. Trettin. "Long-Term Ecohydrologic Monitoring: A Case Study from the Santee Experimental Forest, South Carolina." Journal of South Carolina Water Resources, no. 6 (January 1, 2020): 46–55. http://dx.doi.org/10.34068/jscwr.06.05.

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Long-term research on gauged watersheds within the USDA Forest Service’s Experimental Forest and Range (EFR) network has contributed substantially to our understanding of relationships among forests, water, and hydrologic processes and watershed management, yet there is only limited information from coastal forests. This article summarizes key findings from hydrology and water-quality studies based on long-term monitoring on first-, second-, and third-order watersheds on the Santee Experimental Forest, which are a part of the headwaters of the east branch of the Cooper River that drains into t

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Pietroniro, A., V. Fortin, N. Kouwen, et al. "Development of the MESH modelling system for hydrological ensemble forecasting of the Laurentian Great Lakes at the regional scale." Hydrology and Earth System Sciences 11, no. 4 (2007): 1279–94. http://dx.doi.org/10.5194/hess-11-1279-2007.

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Abstract. Environment Canada has been developing a community environmental modelling system (Modélisation Environmentale Communautaire – MEC), which is designed to facilitate coupling between models focusing on different components of the earth system. The ultimate objective of MEC is to use the coupled models to produce operational forecasts. MESH (MEC – Surface and Hydrology), a configuration of MEC currently under development, is specialized for coupled land-surface and hydrological models. To determine the specific requirements for MESH, its different components were implemented on the Lau

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Pietroniro, A., V. Fortin, N. Kouwen, et al. "Using the MESH modelling system for hydrological ensemble forecasting of the Laurentian Great Lakes at the regional scale." Hydrology and Earth System Sciences Discussions 3, no. 4 (2006): 2473–521. http://dx.doi.org/10.5194/hessd-3-2473-2006.

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Abstract. Environment Canada has been developing a community environmental modelling system (Modélisation Environmentale Communautaire – MEC), which is designed to facilitate coupling between models focusing on different components of the earth system. The ultimate objective of MEC is to use the coupled models to produce operational forecasts. MESH (MEC – Surface and Hydrology), a configuration of MEC currently under development, is specialized for coupled land-surface and hydrological models. To determine the specific requirements for MESH, its different components were implemented on the Lau

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Rosyadi, Imron. "Peramalan Aliran Masukan Waduk Mrica Menggunakan ModelThomas-Fieringdan Jaringan Syaraf Tiruan ANFIS." Dinamika Rekayasa 7, no. 2 (2011): 48. http://dx.doi.org/10.20884/1.dr.2011.7.2.49.

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<p>Inflow forecasting in hydrology processes is important tool in water resources management,planning, and utilization. The fulfillment of this operational hydrology isvery applicable, especially where onlyan insufficient amount of data collected over an insufficient length of time is available. The Thomas-Fiering Method is one of the most useful and widely used synthetic flow models. In last year’s, ArtificialNeural Network (ANN)method and Fuzzy Logic have introduced in hydrological processes. Mrica hydropower reservoir in Central Java, Indonesia, has suffered water sustainability anden

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Marshall, M., K. Tu, C. Funk, et al. "Improving operational land surface model canopy evapotranspiration in Africa using a direct remote sensing approach." Hydrology and Earth System Sciences 17, no. 3 (2013): 1079–91. http://dx.doi.org/10.5194/hess-17-1079-2013.

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Abstract. Climate change is expected to have the greatest impact on the world's economically poor. In the Sahel, a climatically sensitive region where rain-fed agriculture is the primary livelihood, expected decreases in water supply will increase food insecurity. Studies on climate change and the intensification of the water cycle in sub-Saharan Africa are few. This is due in part to poor calibration of modeled evapotranspiration (ET), a key input in continental-scale hydrologic models. In this study, a remote sensing model of transpiration (the primary component of ET), driven by a time seri

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Arena, Claudio, Marcella Cannarozzo, and Mario Rosario Mazzola. "Multi-year drought frequency analysis at multiple sites by operational hydrology – A comparison of methods." Physics and Chemistry of the Earth, Parts A/B/C 31, no. 18 (2006): 1146–63. http://dx.doi.org/10.1016/j.pce.2006.03.021.

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Massari, Christian, Luca Brocca, Luca Ciabatta, et al. "The Use of H-SAF Soil Moisture Products for Operational Hydrology: Flood Modelling over Italy." Hydrology 2, no. 1 (2015): 2–22. http://dx.doi.org/10.3390/hydrology2010002.

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Emmanuel, I., H. Andrieu, and P. Tabary. "Evaluation of the new French operational weather radar product for the field of urban hydrology." Atmospheric Research 103 (January 2012): 20–32. http://dx.doi.org/10.1016/j.atmosres.2011.06.018.

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Otop, Irena, Jan Szturc, Katarzyna Ośródka, and Piotr Djaków. "Automatic quality control of telemetric rain gauge data for operational applications at IMGW-PIB." ITM Web of Conferences 23 (2018): 00028. http://dx.doi.org/10.1051/itmconf/20182300028.

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The automatic procedure of real-time quality control (QC) of telemetric rain gauge measurements (G) has been developed to produce quantitative precipitation estimates mainly for the needs of operational hydrology. The developed QC procedure consists of several tests: gross error detection, a range check, a spatial consistency check, a temporal consistency check, and a radar and satellite conformity check. The output of the procedure applied in real-time is quality index QI(G) that quantitatively characterised quality of each individual measurement. The QC procedure has been implemented into op

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Blum, Annalise G., Stacey A. Archfield, and Richard M. Vogel. "On the probability distribution of daily streamflow in the United States." Hydrology and Earth System Sciences 21, no. 6 (2017): 3093–103. http://dx.doi.org/10.5194/hess-21-3093-2017.

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Abstract. Daily streamflows are often represented by flow duration curves (FDCs), which illustrate the frequency with which flows are equaled or exceeded. FDCs have had broad applications across both operational and research hydrology for decades; however, modeling FDCs has proven elusive. Daily streamflow is a complex time series with flow values ranging over many orders of magnitude. The identification of a probability distribution that can approximate daily streamflow would improve understanding of the behavior of daily flows and the ability to estimate FDCs at ungaged river locations. Comp

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Stadnyk, Tricia, and Stephen Déry. "Canadian Continental-Scale Hydrology under a Changing Climate: A Review." Water 13, no. 7 (2021): 906. http://dx.doi.org/10.3390/w13070906.

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Canada, like other high latitude cold regions on Earth, is experiencing some of the most accelerated and intense warming resulting from global climate change. In the northern regions, Arctic amplification has resulted in warming two to three times greater than global mean temperature trends. Unprecedented warming is matched by intensification of wet and dry regions and hydroclimatic cycles, which is altering the spatial and seasonal distribution of surface waters in Canada. Diagnosing and tracking hydrologic change across Canada requires the implementation of continental-scale prediction model

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Harpold, Adrian A., Michael L. Kaplan, P. Zion Klos, et al. "Rain or snow: hydrologic processes, observations, prediction, and research needs." Hydrology and Earth System Sciences 21, no. 1 (2017): 1–22. http://dx.doi.org/10.5194/hess-21-1-2017.

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Abstract. The phase of precipitation when it reaches the ground is a first-order driver of hydrologic processes in a watershed. The presence of snow, rain, or mixed-phase precipitation affects the initial and boundary conditions that drive hydrological models. Despite their foundational importance to terrestrial hydrology, typical phase partitioning methods (PPMs) specify the phase based on near-surface air temperature only. Our review conveys the diversity of tools available for PPMs in hydrological modeling and the advancements needed to improve predictions in complex terrain with large spat

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Canli, Ekrem, Martin Mergili, Benni Thiebes, and Thomas Glade. "Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology." Natural Hazards and Earth System Sciences 18, no. 8 (2018): 2183–202. http://dx.doi.org/10.5194/nhess-18-2183-2018.

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Abstract. Landslide forecasting and early warning has a long tradition in landslide research and is primarily carried out based on empirical and statistical approaches, e.g., landslide-triggering rainfall thresholds. In the last decade, flood forecasting started the operational mode of so-called ensemble prediction systems following the success of the use of ensembles for weather forecasting. These probabilistic approaches acknowledge the presence of unavoidable variability and uncertainty when larger areas are considered and explicitly introduce them into the model results. Now that highly de

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Terblanche, D. E., G. G. S. Pegram, and M. P. Mittermaier. "The development of weather radar as a research and operational tool for hydrology in South Africa." Journal of Hydrology 241, no. 1-2 (2001): 3–25. http://dx.doi.org/10.1016/s0022-1694(00)00372-3.

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Sidiropoulos, Pantelis, Georgios Tziatzios, Lampros Vasiliades, George Papaioannou, Nikitas Mylopoulos, and Athanasios Loukas. "Modeling Flow and Nitrate Transport in an Over-Exploited Aquifer of Rural Basin Using an Integrated System: The Case of Lake Karla Watershed." Proceedings 2, no. 11 (2018): 667. http://dx.doi.org/10.3390/proceedings2110667.

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The paper proposes an integrated modeling system consisting of a surface hydrology model, a water reservoir model, a Lake-Aquifer Interaction model, aground water model, and a transport and dispersion model to study ground water quality through two different operational management scenarios. The first scenario is examining the existing condition of groundwater quality without the reservoir operation while the second scenario is assessing the impact of the reconstruction of Lake Karla in the groundwater quality. The study highlights the importance of using an integrated hydrological modeling ap

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Erlingis, Jessica M., Jonathan J. Gourley, Pierre-Emmanuel Kirstetter, et al. "Evaluation of Operational and Experimental Precipitation Algorithms and Microphysical Insights during IPHEx." Journal of Hydrometeorology 19, no. 1 (2018): 113–25. http://dx.doi.org/10.1175/jhm-d-17-0080.1.

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Abstract During May and June 2014, NOAA X-Pol (NOXP), the National Severe Storms Laboratory’s dual-polarized X-band mobile radar, was deployed to the Pigeon River basin in the Great Smoky Mountains of North Carolina as part of the NASA Integrated Precipitation and Hydrology Experiment. Rain gauges and disdrometers were positioned within the basin to verify precipitation estimates from various radar and satellite precipitation algorithms. First, the performance of the Self-Consistent Optimal Parameterization–Microphysics Estimation (SCOP-ME) algorithm for NOXP was examined using ground instrume

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van Bakel, P. J. T. "Operational aspects of surface water management in relation to the hydrology of agricultural areas and nature reserves." Agricultural Water Management 14, no. 1-4 (1988): 377–87. http://dx.doi.org/10.1016/0378-3774(88)90091-1.

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Herman, J. D., J. B. Kollat, P. M. Reed, and T. Wagener. "From maps to movies: high resolution time-varying sensitivity analysis for spatially distributed watershed models." Hydrology and Earth System Sciences Discussions 10, no. 8 (2013): 10775–808. http://dx.doi.org/10.5194/hessd-10-10775-2013.

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Abstract. Distributed watershed models are now widely used in practice to simulate runoff responses at high spatial and temporal resolutions. Counter to this purpose, diagnostic analyses of distributed models currently aggregate performance measures in space and/or time and are thus disconnected from the models' operational and scientific goals. To address this disconnect, this study contributes a novel approach for computing and visualizing time-varying global sensitivity indices for spatially distributed model parameters. The high-resolution model diagnostics employ the method of Morris to i

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Dürr, Eugène, Kees Van der Meer, Wim Luxemburg, and Ronald Dekker. "Dataset Preservation for the Long Term: Results of the DareLux Project." International Journal of Digital Curation 3, no. 1 (2008): 29–43. http://dx.doi.org/10.2218/ijdc.v3i1.40.

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The purpose of the DareLux (Data Archiving River Environment Luxembourg) Project was the preservation of unique and irreplaceable datasets, for which we chose hydrology data that will be required to be used in future climatic models. The results are: an operational archive built with XML containers, the OAI-PMH protocol and an architecture based upon web services. Major conclusions are: quality control on ingest is important; digital rights management demands attention; and cost aspects of ingest and retrieval cannot be underestimated. We propose a new paradigm for information retrieval of thi

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Luo, Yan, Ernesto H. Berbery, and Kenneth E. Mitchell. "The Operational Eta Model Precipitation and Surface Hydrologic Cycle of the Columbia and Colorado Basins." Journal of Hydrometeorology 6, no. 4 (2005): 341–70. http://dx.doi.org/10.1175/jhm435.1.

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Abstract The surface hydrology of the United States’ western basins is investigated using the National Centers for Environmental Prediction operational Eta Model forecasts. During recent years the model has been subject to changes and upgrades that positively affected its performance. These effects on the surface hydrologic cycle are discussed by analyzing the period June 1995–May 2003. Prior to the model assessment, three gauge-based precipitation analyses that are potential sources of model validation are appraised. A fairly large disparity between the gridded precipitation analyses is found

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Berg, Peter, Chantal Donnelly, and David Gustafsson. "Near-real-time adjusted reanalysis forcing data for hydrology." Hydrology and Earth System Sciences 22, no. 2 (2018): 989–1000. http://dx.doi.org/10.5194/hess-22-989-2018.

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Abstract. Extending climatological forcing data to current and real-time forcing is a necessary task for hydrological forecasting. While such data are often readily available nationally, it is harder to find fit-for-purpose global data sets that span long climatological periods through to near-real time. Hydrological simulations are generally sensitive to bias in the meteorological forcing data, especially relative to the data used for the calibration of the model. The lack of high-quality daily resolution data on a global scale has previously been solved by adjusting reanalysis data with glob

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Coppola, E., D. I. F. Grimes, M. Verdecchia, and G. Visconti. "Validation of Improved TAMANN Neural Network for Operational Satellite-Derived Rainfall Estimation in Africa." Journal of Applied Meteorology and Climatology 45, no. 11 (2006): 1557–72. http://dx.doi.org/10.1175/jam2426.1.

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Abstract Real-time rainfall monitoring in Africa is of great practical importance for operational applications in hydrology and agriculture. Satellite data have been used in this context for many years because of the lack of surface observations. This paper describes an improved artificial neural network algorithm for operational applications. The algorithm combines numerical weather model information with the satellite data. Using this algorithm, daily rainfall estimates were derived for 4 yr of the Ethiopian and Zambian main rainy seasons and were compared with two other algorithms—a multipl

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D’Adderio, Leo Pio, Silvia Puca, Gianfranco Vulpiani, Marco Petracca, Paolo Sanò, and Stefano Dietrich. "RAINBOW: An Operational Oriented Combined IR-Algorithm." Remote Sensing 12, no. 15 (2020): 2444. http://dx.doi.org/10.3390/rs12152444.

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In this paper, precipitation estimates derived from the Italian ground radar network (IT GR) are used in conjunction with Spinning Enhanced Visible and InfraRed Imager (SEVIRI) measurements to develop an operational oriented algorithm (RAdar INfrared Blending algorithm for Operational Weather monitoring (RAINBOW)) able to provide precipitation pattern and intensity. The algorithm evaluates surface precipitation over five geographical boxes (in which the study area is divided). It is composed of two main modules that exploit a second-degree polynomial relationship between the SEVIRI brightness

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Foerster, J., and WA Milne-Home. "Application of AGNPS to model nutrient generation rates under different farming management practices at the Gunnedah Research Centre catchment." Australian Journal of Experimental Agriculture 35, no. 7 (1995): 961. http://dx.doi.org/10.1071/ea9950961.

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Data collected at a conservation tillage trial site operational between 1971 and 1986 were used to assess the performance of the Agricultural Non-Point Source model (AGNPS). Eight trial plots, each of about 1 ha (average slope of 3.8%), were established on the black earths of paddock 2 at the Gunnedah Research Centre, New South Wales. The plots were subjected in pairs to stubble-burning, stubble incorporation, stubble-mulching, and no-tillage treatments. Runoff and peak flow rate from the plots, resulting from 5 rainfall events between 1982 and 1986, were used to calibrate the hydrology module

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Bougeault, Philippe, and Jean-Claude André. "Joël Noilhan (1953-2010), une carrière scientifique consacrée à la micrométéorologie et à l'hydrologie." La Météorologie, no. 108 (2020): 026. http://dx.doi.org/10.37053/lameteorologie-2020-0012.

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Cet article décrit la riche mais trop brève carrière scientifique de Joël Noilhan. Après une première expérience en micrométéorologie, Joël Noilhan fut recruté par Météo-France pour valoriser les mesures de la campagne Hapex-Mobilhy dans les modèles numériques de prévision et de climat. Ces premiers résultats l'amenèrent à définir un programme de recherche ambitieux en hydrologie, qui a fédéré et inspire encore une partie des acteurs français de cette science. Plusieurs modèles de prévision et produits opérationnels de Météo-France bénéficient aujourd'hui de ces avancées. Tant par ses qualités

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Mehta, Vishal K., David E. Rheinheimer, David Yates, et al. "Potential impacts on hydrology and hydropower production under climate warming of the Sierra Nevada." Journal of Water and Climate Change 2, no. 1 (2011): 29–43. http://dx.doi.org/10.2166/wcc.2011.054.

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Watersheds of the Cosumnes, American, Bear and Yuba (CABY) Rivers in the Sierra Nevada, California, are managed with a complex network of reservoirs, dams, hydropower plants and water conveyances. While water transfers are based on priorities among competing demands, hydropower generation is licensed by the Federal Energy Regulatory Commission (FERC) and regulated by federal and state laws and multi-party agreements. This paper presents an integrated river basin management (IRBM) model for the CABY region, built to evaluate management and regional climate change scenarios using the Water Evalu

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Jeníček, Michal. "Rainfall-runoff modelling in small and middle-large catchments - an overview." Geografie 111, no. 3 (2006): 305–13. http://dx.doi.org/10.37040/geografie2006111030305.

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A rainfall-runoff modelling is nowadays a dynamically developing department of hydrology and water management. This development is caused by a rapid progress of computers and information technologies. This evolution provides the mankind with new possibilities to use water as its basic need and at the same time to evolve an effective protection against it. The aim of this article is to give some basic information about rainfall-runoff modelling, various approaches to it, methods and possibilities of application. This kind of information may help the user with the choice of the suitable rainfall

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Rodrigues, Miguel, and Carla Antunes. "Best Management Practices for the Transition to a Water-Sensitive City in the South of Portugal." Sustainability 13, no. 5 (2021): 2983. http://dx.doi.org/10.3390/su13052983.

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The uncertainty that arises from future environmental and climatic challenges requires new approaches towards urban water management in Mediterranean cities. In this work, an urban water cycle (UWC) strategy based on the best management practices (BMPs) of water-sensitive urban design (WSUD) is proposed for the transition of a coastal city in the south of Portugal into a water-sensitive city (WSC), in line with the Municipal Strategy for Climate Change Adaptation of Loulé (EMAAC of Loulé). The city’s watershed was identified using the ArcMap Hydrology toolset with geospatial data provided by L

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Ivanov, Valeriy Y., Enrique R. Vivoni, Rafael L. Bras, and Dara Entekhabi. "Preserving high-resolution surface and rainfall data in operational-scale basin hydrology: a fully-distributed physically-based approach." Journal of Hydrology 298, no. 1-4 (2004): 80–111. http://dx.doi.org/10.1016/j.jhydrol.2004.03.041.

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