A decade of Predictions in Ungauged Basins (PUB)—a review
Abstract The Prediction in Ungauged Basins (PUB) initiative of the International Association
of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB Symposium …
of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB Symposium …
Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities
Data assimilation (DA) holds considerable potential for improving hydrologic predictions as
demonstrated in numerous research studies. However, advances in hydrologic DA research …
demonstrated in numerous research studies. However, advances in hydrologic DA research …
[HTML][HTML] Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks
In mountain terrain, well-configured high-resolution atmospheric models are able to simulate
total annual rain and snowfall better than spatial estimates derived from in situ observational …
total annual rain and snowfall better than spatial estimates derived from in situ observational …
Multivariate C opula A nalysis T oolbox (MvCAT): describing dependence and underlying uncertainty using a B ayesian framework
We present a newly developed Multivariate Copula Analysis Toolbox (MvCAT) which
includes a wide range of copula families with different levels of complexity. MvCAT employs …
includes a wide range of copula families with different levels of complexity. MvCAT employs …
[图书][B] Rainfall-runoff modelling: the primer
KJ Beven - 2012 - books.google.com
Rainfall-Runoff Modelling: The Primer, Second Edition is the follow-up of this popular and
authoritative text, first published in 2001. The book provides both a primer for the novice and …
authoritative text, first published in 2001. The book provides both a primer for the novice and …
Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors
B Renard, D Kavetski, G Kuczera… - Water Resources …, 2010 - Wiley Online Library
Meaningful quantification of data and structural uncertainties in conceptual rainfall‐runoff
modeling is a major scientific and engineering challenge. This paper focuses on the total …
modeling is a major scientific and engineering challenge. This paper focuses on the total …
Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality
This review and commentary sets out the need for authoritative and concise information on
the expected error distributions and magnitudes in observational data. We discuss the …
the expected error distributions and magnitudes in observational data. We discuss the …
A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors
Estimation of parameter and predictive uncertainty of hydrologic models has traditionally
relied on several simplifying assumptions. Residual errors are often assumed to be …
relied on several simplifying assumptions. Residual errors are often assumed to be …
A hybrid approach to monthly streamflow forecasting: integrating hydrological model outputs into a Bayesian artificial neural network
Monthly streamflow forecasts are needed to support water resources decision making in the
South East of South Australia, where baseflow represents a significant proportion of the total …
South East of South Australia, where baseflow represents a significant proportion of the total …
Pipedream: An interactive digital twin model for natural and urban drainage systems
Faced with persistent flooding and water quality challenges, water managers are now
seeking to build digital twins of surface water systems that combine sensor data with online …
seeking to build digital twins of surface water systems that combine sensor data with online …