Data‐Driven Model Uncertainty Estimation in Hydrologic Data Assimilation

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework

[1] Despite significant recent developments in computational power and distributed hydrologic modeling, the issue of how to adequately address the uncertainty associated with hydrological predictions remains a critical and challenging one. This issue needs to be properly addressed for hydrological modeling to realize its maximum practical potential in environmental decision-making processes. Ar...

متن کامل

Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter

[1] Two elementary issues in contemporary Earth system science and engineering are (1) the specification of model parameter values which characterize a system and (2) the estimation of state variables which express the system dynamic. This paper explores a novel sequential hydrologic data assimilation approach for estimating model parameters and state variables using particle filters (PFs). PFs...

متن کامل

Uncertainty in Hydrologic Modelling for PMF Estimation

Most models will attempt to extract losses (interception, surface storage, infiltration) from the input and build a runoff hydrograph using empirical curves or by routing the excess water. Even the simplest models generally involve many parameters to describe these processes. Some parameters are estimated from published values, and others are set based on past practice and calibration of the mo...

متن کامل

Model error estimation in ensemble data assimilation

A new methodology is proposed to estimate and account for systematic model error in linear filtering as well as in nonlinear ensemble based filtering. Our results extend the work of Dee and Todling (2000) on constant bias errors to time-varying model errors. In contrast to existing methodologies, the new filter can also deal with the case where no dynamical model for the systematic error is ava...

متن کامل

Improved regional hydrologic modelling by assimilation of streamflow data into a regional hydrologic model

River streamflow is closely related to the surface runoff over a river basin. It is a quantity which can be measured with relatively high accuracy. In regional hydrologic models, surface runoff is usually calculated as the residuum of the surface water balance equation and is one of the most uncertain model outputs, especially for mountainous areas. In this paper, we propose a simple method wit...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Water Resources Research

سال: 2018

ISSN: 0043-1397,1944-7973

DOI: 10.1002/2018wr022627