[HTML][HTML] Review of the ensemble Kalman filter for atmospheric data assimilation
PL Houtekamer, F Zhang - Monthly Weather Review, 2016 - journals.ametsoc.org
Review of the Ensemble Kalman Filter for Atmospheric Data Assimilation in: Monthly
Weather Review Volume 144 Issue 12 (2016) Jump to Content Jump to Main Navigation …
Weather Review Volume 144 Issue 12 (2016) Jump to Content Jump to Main Navigation …
Improved ensemble-mean forecasting of ENSO events by a zero-mean stochastic error model of an intermediate coupled model
F Zheng, J Zhu - Climate Dynamics, 2016 - Springer
How to design a reliable ensemble prediction strategy with considering the major
uncertainties of a forecasting system is a crucial issue for performing an ensemble forecast …
uncertainties of a forecasting system is a crucial issue for performing an ensemble forecast …
Impact of assimilating Formosat-7/COSMIC-II GNSS radio occultation data on heavy rainfall prediction in Taiwan
This study investigates the impact of assimilating Formosat-7/COSMIC-II (FS7/C2) radio
occultation (RO) refractivity data on predicting the heavy rainfall event that occurred in …
occultation (RO) refractivity data on predicting the heavy rainfall event that occurred in …
Influence of the track forecast of Typhoon Prapiroon on the heavy rainfall in western Japan in July 2018
T Enomoto - Sola, 2019 - jstage.jst.go.jp
The predictability of the Heavy Rain Event in July 2018 is examined by forecast 10
experiments with an operational global atmospheric forecast model. Experiments from 11 …
experiments with an operational global atmospheric forecast model. Experiments from 11 …
Hybrid gain data assimilation using variational corrections in the subspace orthogonal to the ensemble
The viability of a parameterless hybrid data assimilation algorithm is investigated. As an
alternative to the traditional hybrid covariance scheme, hybrid gain data assimilation …
alternative to the traditional hybrid covariance scheme, hybrid gain data assimilation …
A regional hybrid gain data assimilation system and preliminary evaluation based on Radio Occultation reflectivity assimilation
A regional hybrid gain data assimilation (HGDA) system is newly developed using Weather
Research and Forecasting model (WRF). The WRF-HGDA augments an ensemble-based …
Research and Forecasting model (WRF). The WRF-HGDA augments an ensemble-based …
Parallel direct solution of the covariance-localized ensemble square root Kalman filter equations with matrix functions
JL Steward, JE Roman, AL Daviña… - Monthly Weather …, 2018 - journals.ametsoc.org
Recently, the serial approach to solving the square root ensemble Kalman filter (ESRF)
equations in the presence of covariance localization was found to depend on the order of …
equations in the presence of covariance localization was found to depend on the order of …
The role of stochastic model error perturbations in predicting the 2011/12 double-dip La Niña
L Feng, F Zheng, J Zhu, H Liu - Sola, 2015 - jstage.jst.go.jp
Abstract The 2011/12 La Niña, referred to as a double-dip La Niña event with following a
previous La Niña event, was not well predicted by most climate models when starting from …
previous La Niña event, was not well predicted by most climate models when starting from …
[HTML][HTML] Mesoscale hybrid data assimilation system based on JMA nonhydrostatic model
Mesoscale Hybrid Data Assimilation System based on JMA Nonhydrostatic Model in:
Monthly Weather Review Volume 144 Issue 9 (2016) Jump to Content Jump to Main …
Monthly Weather Review Volume 144 Issue 9 (2016) Jump to Content Jump to Main …
[PDF][PDF] Data Assimilation Research Team
Data Assimilation Research Team (DA Team) was launched in October 2012 and is
composed of 28 research and technical staff including 12 visiting members as of March …
composed of 28 research and technical staff including 12 visiting members as of March …