Assimilating water level observations with the ensemble optimal interpolation scheme into a rainfall‐runoff‐inundation model: A repository‐based dynamic covariance matrix generation approach
Abstract Although conceptually attractive, the use of ensemble data assimilation methods, such as the ensemble Kalman filter (EnKF), can be constrained by intensive computational requirements. In such cases, the ensemble optimal interpolation scheme (EnOI), which works on a single model run instead...
Saved in:
| Main Authors: | Manoj Khaniya, Yasuto Tachikawa, Takahiro Sayama |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
|
| Series: | Journal of Flood Risk Management |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/jfr3.13017 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Reproducing a Flash Flood Using the Rainfall‐Runoff‐Inundation Model for the Myohoujigawa River Basin in Japan
by: Kenichiro Kobayashi, et al.
Published: (2025-06-01) -
Application of Ensemble Kalman Filter With Covariance Localization in Data Assimilation of Radiation Belt Electrons
by: Yuan Lei, et al.
Published: (2025-06-01) -
Manajemen Layanan Repository Perguruan Tinggi
by: Sri Ati Suwanto
Published: (2017-12-01) -
Comparative Analysis of IMERG Satellite Rainfall and Elevation as Covariates for Regionalizing Average and Extreme Rainfall Patterns in Greece by Means of Bilinear Surface Smoothing
by: Nikolaos Malamos, et al.
Published: (2025-06-01) -
Repository policies in four higher education libraries in Surabaya, East Java
by: Ari Zuntriana, et al.
Published: (2025-06-01)