scholarly journals Tracing Temporal Changes of Model Parameters in Rainfall-Runoff Modeling via a Real-Time Data Assimilation

Water ◽  
2016 ◽  
Vol 8 (1) ◽  
pp. 19 ◽  
Author(s):  
Shanshan Meng ◽  
Xianhong Xie ◽  
Xiao Yu
Keyword(s):  
Data Assimilation ◽  
Real Time ◽  
Temporal Changes ◽  
Model Parameters ◽  
Rainfall Runoff ◽  
Time Data ◽  
Runoff Modeling ◽  
Real Time Data

scholarly journals Real-time Data Assimilation in Urban Rainfall-runoff Models

2014 ◽  
Vol 70 ◽  
pp. 843-852 ◽  
Author(s):  
C.J. Hutton ◽  
Z. Kapelan ◽  
L. Vamvakeridou-Lyroudia ◽  
D. Savić
Keyword(s):  
Data Assimilation ◽  
Real Time ◽  
Rainfall Runoff ◽  
Time Data ◽  
Real Time Data ◽  
Urban Rainfall Runoff

Model order reduction for real-time data assimilation through Extended Kalman Filters

2017 ◽  
Vol 326 ◽  
pp. 679-693 ◽  
Author(s):  
David González ◽  
Alberto Badías ◽  
Icíar Alfaro ◽  
Francisco Chinesta ◽  
Elías Cueto
Keyword(s):  
Data Assimilation ◽  
Real Time ◽  
Kalman Filters ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Time Data ◽  
Model Order ◽  
Extended Kalman Filters ◽  
Real Time Data

scholarly journals Estimating DSGE model parameters in a small open economy: Do real-time data matter?

2015 ◽  
Vol 15 (1) ◽  
pp. 89-114 ◽  
Author(s):  
Jan Capek
Keyword(s):  
Real Time ◽  
Euro Area ◽  
Open Economy ◽  
Response Analysis ◽  
Parameter Estimates ◽  
Model Parameters ◽  
Gdp Growth ◽  
Time Data ◽  
Data Revisions ◽  
Real Time Data

Abstract This paper investigates the differences between parameters estimated using real-time and those estimated with revised data. The models used are New Keynesian DSGE models of the Czech, Polish, Hungarian, Swiss, and Swedish small open economies in interaction with the euro area. The paper also offers an analysis of data revisions of GDP growth and inflation and trend revisions of interest rates. Data revisions are found to be unbiased and not autocorrelated in all countries. Inflation is usually measured more accurately in real-time than GDP growth, but this is not the case in the euro area. The results of the core analysis suggest that there are significant differences between parameter estimates using real-time data and those estimated using revised data. The model parameters that are most prone to significant differences between real-time and revised estimations are habit in consumption and persistence of domestic supply, of demand, and of world-wide technology shocks. The impulse response analysis suggests that the model behavior based on real-time and revised data is different.

138 Real-time data assimilation of a flow around a square cylinder using time-series PIV

2015 ◽  
Vol 2015.28 (0) ◽  
pp. _138-1_-_138-2_
Author(s):  
Ryota Kikuchi ◽  
Tatsuro Uchida ◽  
Takashi Misaka ◽  
Shigeru Obayashi
Keyword(s):  
Time Series ◽  
Data Assimilation ◽  
Real Time ◽  
Square Cylinder ◽  
Time Data ◽  
Real Time Data

Real-time data assimilation of ice concentration into a coupled ice/ocean forecast system

OCEANS 2009 ◽  
2009 ◽  
Author(s):  
P. G. Posey ◽  
E. J. Metzger ◽  
A. J. Wallcraft ◽  
O. M. Smedstad ◽  
M. W. Phelps
Keyword(s):  
Data Assimilation ◽  
Real Time ◽  
Time Data ◽  
Forecast System ◽  
Ice Concentration ◽  
Real Time Data
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