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Improving Hydrologic Prediction Via Data Assimilation Data Fusion And High Resolution Modeling


Improving Hydrologic Prediction Via Data Assimilation Data Fusion And High Resolution Modeling
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Improving Hydrologic Prediction Via Data Assimilation Data Fusion And High Resolution Modeling


Improving Hydrologic Prediction Via Data Assimilation Data Fusion And High Resolution Modeling
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Author : Arezoo Rafieei Nasab
language : en
Publisher:
Release Date : 2017

Improving Hydrologic Prediction Via Data Assimilation Data Fusion And High Resolution Modeling written by Arezoo Rafieei Nasab and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Heteroscedasticity categories.


With population growth, urbanization and climate change, accurate and skillful monitoring and prediction of water resources and water-related hazards are becoming increasingly important to maintaining and improving the quality of life for human beings and well-being of the ecosystem in which people live. Because most hydrologic systems are driven by atmospheric processes that are chaotic, hydrologic processes operate at many different scales, and the above systems are almost always under-observed, there are numerous sources of error in hydrologic prediction. This study aims to advance the understanding of these uncertainty sources and reduce the uncertainties to the greatest possible extent. Toward that end, we comparatively evaluate two data assimilation (DA) techniques ensemble Kalman filter (EnKF) and maximum likelihood ensemble filter (MLEF) to reduce the uncertainty in initial conditions of soil moisture. Results show MLEF is a strongly favorable technique for assimilating streamflow data for updating soil moisture. In most places, precipitation is by far the most important forcing in hydrologic prediction. Because radars do not measure precipitation directly, radar QPEs are subject to various sources of error. In this study, the three Next Generation Radar (NEXRAD)-based QPE products, the Digital Hybrid Scan Reflectivity (DHR), Multisensor Precipitation Estimator (MPE) and Next Generation Multisensor QPE (Q2), and the radar QPE from the Collaborative Adaptive Sensing of the Atmosphere (CASA) radar are comparatively evaluated for high-resolution hydrologic modeling in the Dallas-Fort Worth Metroplex (DFW) area. Also, since they generally carry complementary information, one may expect to improve accuracy by fusing multiple QPEs. This study develops and comparatively evaluates four different techniques for producing high-resolution QPE by fusing multiple radar-based QPEs. Two experiments were carried out for evaluation; in one, the MPE and Q2 products were fused and, in the other, the MPE and CASA products were fused. Result show that the Simple Estimation (SE) is an effective, robust and computationally inexpensive data fusion algorithm for QPE. The other main goal of this study is to provide accurate spatial information of streamflow and soil moisture via distributed hydrologic modeling. Toward that end, we evaluated the NWS's Hydrology Laboratory Research Distributed Hydrologic Model (HL-RDHM) over the Trinity River Basin for several headwater basins. We also develop a prototype high resolution flash flood prediction system for Cities of Fort Worth, Arlington and Grand Prairie, a highly urbanized area. Ideally, the higher the resolution of distributed modeling and the precipitation input is, the more desirable the model output is as it provides better spatiotemporal specificity. There are, however, practical limits to the resolution of modeling. To test and ascertain the limits of high-resolution polarimetric QPE and distributed hydrologic modeling for advanced flash flood forecasting in large urban area, we performed sensitivity analysis to spatiotemporal resolution. The results indicate little consistent pattern in dependence on spatial resolution while there is a clear pattern for sensitivity to temporal resolution. More research is needed, however, to draw firmer conclusions and to assess dependence on catchment scale.



Improving Flood Prediction Assimilating Uncertain Crowdsourced Data Into Hydrologic And Hydraulic Models


Improving Flood Prediction Assimilating Uncertain Crowdsourced Data Into Hydrologic And Hydraulic Models
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Author : Maurizio Mazzoleni
language : en
Publisher: CRC Press
Release Date : 2017-03-16

Improving Flood Prediction Assimilating Uncertain Crowdsourced Data Into Hydrologic And Hydraulic Models written by Maurizio Mazzoleni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-16 with Science categories.


In recent years, the continued technological advances have led to the spread of low-cost sensors and devices supporting crowdsourcing as a way to obtain observations of hydrological variables in a more distributed way than the classic static physical sensors. The main advantage of using these type of sensors is that they can be used not only by technicians but also by regular citizens. However, due to their relatively low reliability and varying accuracy in time and space, crowdsourced observations have not been widely integrated in hydrological and/or hydraulic models for flood forecasting applications. Instead, they have generally been used to validate model results against observations, in post-event analyses. This research aims to investigate the benefits of assimilating the crowdsourced observations, coming from a distributed network of heterogeneous physical and social (static and dynamic) sensors, within hydrological and hydraulic models, in order to improve flood forecasting. The results of this study demonstrate that crowdsourced observations can significantly improve flood prediction if properly integrated in hydrological and hydraulic models. This study provides technological support to citizen observatories of water, in which citizens not only can play an active role in information capturing, evaluation and communication, leading to improved model forecasts and better flood management.



Hydrology And Hydrologic Modelling


Hydrology And Hydrologic Modelling
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Author : Manish Pandey
language : en
Publisher: Springer Nature
Release Date : 2024-12-01

Hydrology And Hydrologic Modelling written by Manish Pandey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-01 with Technology & Engineering categories.


This book comprises proceedings of the 28th International Conference on Hydraulics, Water Resources, River and Coastal Engineering (HYDRO 2023). It focuses on emerging opportunities and challenges in the field of hydrology and hydrological modelling. The book covers a range of topics including, but not limited to, groundwater modelling and management, integrated water resources and watershed management, surface water hydrology, drought assessment and mitigation, risk, reliability and design of hydrologic systems. The book presents these topics in the form of illustrations and tables, thereby providing the readers with an in-depth insight into the recent research. It also addresses fundamental concepts and studies in the field of hydrology and hydrological modelling, making it a valuable resource for researchers and professionals working in the fields of hydraulics, water resources and coastal engineering.



Assimilation Of Remote Sensing Data Into Earth System Models


Assimilation Of Remote Sensing Data Into Earth System Models
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Author : Jean-Christophe Calvet
language : en
Publisher: MDPI
Release Date : 2019-11-20

Assimilation Of Remote Sensing Data Into Earth System Models written by Jean-Christophe Calvet and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-20 with Science categories.


In the Earth sciences, a transition is currently occurring in multiple fields towards an integrated Earth system approach, with applications including numerical weather prediction, hydrological forecasting, climate impact studies, ocean dynamics estimation and monitoring, and carbon cycle monitoring. These approaches rely on coupled modeling techniques using Earth system models that account for an increased level of complexity of the processes and interactions between atmosphere, ocean, sea ice, and terrestrial surfaces. A crucial component of Earth system approaches is the development of coupled data assimilation of satellite observations to ensure consistent initialization at the interface between the different subsystems. Going towards strongly coupled data assimilation involving all Earth system components is a subject of active research. A lot of progress is being made in the ocean–atmosphere domain, but also over land. As atmospheric models now tend to address subkilometric scales, assimilating high spatial resolution satellite data in the land surface models used in atmospheric models is critical. This evolution is also challenging for hydrological modeling. This book gathers papers reporting research on various aspects of coupled data assimilation in Earth system models. It includes contributions presenting recent progress in ocean–atmosphere, land–atmosphere, and soil–vegetation data assimilation.



Nasa Technical Memorandum


Nasa Technical Memorandum
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Author :
language : en
Publisher:
Release Date : 1992

Nasa Technical Memorandum written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Aeronautics categories.




A Vision For The National Weather Service


A Vision For The National Weather Service
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Author : Panel on the Road Map for the Future
language : en
Publisher: National Academies Press
Release Date : 1999-03-18

A Vision For The National Weather Service written by Panel on the Road Map for the Future and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-03-18 with Science categories.


In this study, the committee explores ways the National Weather Service (NWS) can take advantage of continuing advances in science and technology to meet the challenges of the future. The predictions are focused on the target year 2025. Because specific predictions about the state of science and technology or the NWS more than 25 years in the future will not be entirely accurate, the goal of this report is to identify and highlight trends that are most likely to influence change. The Panel on the Road Map for the Future National Weather Service developed an optimistic vision for 2025 based on advances in science and technology.



Nrl Review


Nrl Review
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Author :
language : en
Publisher:
Release Date : 2004

Nrl Review written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Naval research categories.




The Modernized End To End Forecast Process For Quantitative Precipitation Information


The Modernized End To End Forecast Process For Quantitative Precipitation Information
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Author :
language : en
Publisher:
Release Date : 1999

The Modernized End To End Forecast Process For Quantitative Precipitation Information written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Flood forecasting categories.




Recent Advancement In Geoinformatics And Data Science


Recent Advancement In Geoinformatics And Data Science
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Author : Xiaogang Ma
language : en
Publisher: Geological Society of America
Release Date : 2023-04-11

Recent Advancement In Geoinformatics And Data Science written by Xiaogang Ma and has been published by Geological Society of America this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-11 with Science categories.


"The chapters in this Special Paper present the latest progress and discoveries in both the methodology and technology of geoinformatics. The methodologies, technologies, and best practices will make this volume a useful reference with long-term impacts for data-intensive geoscience in the next decade and beyond"--



Extreme Hydroclimatic Events And Multivariate Hazards In A Changing Environment


Extreme Hydroclimatic Events And Multivariate Hazards In A Changing Environment
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Author : Viviana Maggioni
language : en
Publisher: Elsevier
Release Date : 2019-06-06

Extreme Hydroclimatic Events And Multivariate Hazards In A Changing Environment written by Viviana Maggioni and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-06 with Science categories.


Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment: A Remote Sensing Approach reviews multivariate hazards in a non-stationary environment, covering both short and long-term predictions from earth observations, along with long-term climate dynamics and models. The book provides a detailed overview of remotely sensed observations, current and future satellite missions useful for hydrologic studies and water resources engineering, and a review of hydroclimatic hazards. Given these tools, readers can improve their abilities to monitor, model and predict these extremes with remote sensing. In addition, the book covers multivariate hazards, like landslides, in case studies that analyze the combination of natural hazards and their impact on the natural and built environment. Finally, it ties hydroclimatic hazards into the Sendai Framework, providing another set of tools for reducing disaster impacts. - Emphasizes recent and future satellite missions to study, monitor and forecast hydroclimatic hazards - Provides a complete overview and differentiation of remotely sensed products that are useful for monitoring extreme hydroclimatic and related events - Covers real-life examples and applications of integrating remote sensing products to study complex multi-hydroclimatic hazards