Results 101 to 110 of about 85,946 (292)

Uncertainty in projections of streamflow changes due to climate change in California [PDF]

, 2005
Understanding the uncertainty in the projected impacts of climate change on hydrology will help decision-makers interpret the confidence in different projected future hydrologic impacts.
Duffy, Philip B., Maurer, Edwin P.
core   +2 more sources

Sustaining Science Infrastructure Is Difficult; Is Commercialization the Answer? The USA National Phenology Network's Experience

Perspectives of Earth and Space Scientists, Volume 6, Issue 1, December 2025.
Abstract Biological and physical science infrastructure programs play a critical role in supporting scientific discovery. Even with their foundational roles in the process of science, frequently, support for these programs is threatened, reduced, or eliminated, placing critical data and information at risk of interruption or loss.
T. M. Crimmins, J. Clark
wiley   +1 more source

The Once and Future Hydrology Is Whole Earth Hydrology

Perspectives of Earth and Space Scientists, Volume 6, Issue 1, December 2025.
Abstract We here argue for a new paradigm to advance pursuit of truth in global freshwater science. Our proposed Whole Earth Hydrology is hydrology that is explicitly empirical and discovery‐based, grounded in primary data, detailed at scale, and incorporates humans as essential.
Colin J. Gleason, Casey M. Brown
wiley   +1 more source

The Heartland Environmental Alliance for Resilience & Transformation (HEART) – Improving the Lives and Livelihoods of People Across the Heartland Through Environmental Change Resilience Research, Education, and Outreach

Perspectives of Earth and Space Scientists, Volume 6, Issue 1, December 2025.
Logo of HEART ( The Heartland Environmental Alliance for Resilience & Transformation) Abstract HEART is a university‐led alliance of institutions, agencies, and industries committed to voicing the needs of the states in the central land area of the US and advancing research to develop innovative environmental solutions that strengthen communities and ...
Gregory R. Carmichael, Robert J. Swap, Eric D. Hunt, Jesse Bell, Jesse D. Berman, Charles O. Stanier, Matthew J. McGill, Cheyenne M. Morgan, Tyson Ochsner, Dennis S. Ojima, R. Bradley Pierce, Ana P. Barros, Hank S. Miller, James Rattling Leaf, Joshua K. Roundy, Aliasger K. Salem, Jun Wang, Jerry W. Wegiel, Daniel Wildcat   +18 more
wiley   +1 more source

Improved streamflow forecasting using self-organizing radial basis function artificial neural networks [PDF]

, 2004
Streamflow forecasting has always been a challenging task for water resources engineers and managers and a major component of water resources system control. In this study, we explore the applicability of a Self Organizing Radial Basis (SORB) function to
Gupta, HV, Hsu, KL, Moradkhani, H, Sorooshian, S   +3 more
core   +1 more source

Entropy in Hydrology

Perspectives of Earth and Space Scientists, Volume 6, Issue 1, December 2025.
Abstract Although the concept of thermodynamic entropy due to Clausius dates back to the early 1850s, the mathematical theory of informational entropy was not developed until the pioneering work of Shannon in 1948, the development of principle of maximum entropy (POME) and theorem of concentration by Jaynes in 1957, principle of minimum cross entropy ...
Vijay P. Singh
wiley   +1 more source

Water Discharge Peak Estimation Based on HEC‐HMS and Predicted Curve Numbers for Flood Forecast in the River Brembo (Northern Italy)

Journal of Flood Risk Management, Volume 18, Issue 3, September 2025.
ABSTRACT This paper proposes a novel methodology for peak flow estimation. This methodology uses single‐event hydrological modeling based on the software HEC‐HMS and curve numbers (CNs) estimated as a function of antecedent and current weather variables and is applied to the river Brembo case study in Northern Italy.
Carlo Giudicianni, Hossein Aghaee, Luca Ventura, Enrico Creaco   +3 more
wiley   +1 more source

Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response [PDF]

, 2006
The aim of this paper is to foster the development of an end-to-end uncertainty analysis framework that can quantify satellite-based precipitation estimation error characteristics and to assess the influence of the error propagation into hydrological ...
Hong, Y, Hsu, KL, Moradkhani, H, Sorooshian, S   +3 more
core   +1 more source

Local Scale Current and Projected Future Total Flood Hazard Mapping for Canada—Literature Review

Journal of Flood Risk Management, Volume 18, Issue 3, September 2025.
ABSTRACT This review, based on 231 articles, focuses on studies relevant to Canada that assess fluvial, pluvial, and coastal flood hazards at national and broader scales. It evaluates the application of remote sensing and artificial intelligence methods for flood mapping within the Canadian context.
Slobodan P. Simonovic, Brian Perry
wiley   +1 more source

Exploring the Controlling Factors of Watershed Streamflow Variability Using Hydrological and Machine Learning Models

Water Resources Research
Studying streamflow processes and controlling factors is crucial for sustainable water resource management. This study demonstrated the potential of integrating hydrological models with machine learning by constructing two machine learning methods ...
Bingbing Ding, Xinxiao Yu, Guodong Jia
doaj   +1 more source