Estimating model parameters with ensemble-based data assimilation: A review
Weather forecast and earth system models usually have a number of parameters, which are
often optimized manually by trial and error. Several studies have proposed objective …
often optimized manually by trial and error. Several studies have proposed objective …
The Gaussian approach to adaptive covariance inflation and its implementation with the local ensemble transform Kalman filter
T Miyoshi - Monthly weather review, 2011 - journals.ametsoc.org
In ensemble Kalman filters, the underestimation of forecast error variance due to limited
ensemble size and other sources of imperfection is commonly treated by empirical …
ensemble size and other sources of imperfection is commonly treated by empirical …
“Variable localization” in an ensemble Kalman filter: Application to the carbon cycle data assimilation
In ensemble Kalman filter, space localization is used to reduce the impact of long‐distance
sampling errors in the ensemble estimation of the forecast error covariance. When two …
sampling errors in the ensemble estimation of the forecast error covariance. When two …
The local ensemble transform Kalman filter with the Weather Research and Forecasting model: Experiments with real observations
The local ensemble transform Kalman filter (LETKF) is implemented with the Weather
Research and Forecasting (WRF) model, and real observations are assimilated to assess …
Research and Forecasting (WRF) model, and real observations are assimilated to assess …
Estimation of surface carbon fluxes with an advanced data assimilation methodology
We perform every 6 ha simultaneous data assimilation of surface CO2 fluxes and
atmospheric CO2 concentrations along with meteorological variables using the Local …
atmospheric CO2 concentrations along with meteorological variables using the Local …
SPEEDY‐IER: A fast atmospheric GCM with water isotope physics
The interpretation of variations in the global isotopic composition of precipitation and water
vapor can be strengthened using an isotope‐enabled atmospheric general circulation …
vapor can be strengthened using an isotope‐enabled atmospheric general circulation …
A study of impact of the geographic dependence of observing system on parameter estimation with an intermediate coupled model
X Wu, S Zhang, Z Liu, A Rosati, TL Delworth - Climate Dynamics, 2013 - Springer
Observational information has a strong geographic dependence that may directly influence
the quality of parameter estimation in a coupled climate system. Using an intermediate …
the quality of parameter estimation in a coupled climate system. Using an intermediate …
The effects of snow cover and soil moisture on Asian dust: II. Emission estimation by lidar data assimilation
TT Sekiyama, TY Tanaka, T Maki, M Mikami - Sola, 2011 - jlc.jst.go.jp
This paper is the second of a series that describes the effects of snow cover and soil
moisture on Asian dust during spring. Whereas the first paper in this series discussed the …
moisture on Asian dust during spring. Whereas the first paper in this series discussed the …
Assessment of Inflation Schemes on Parameter Estimation and Their Application in ENSO Prediction in an OSSE Framework
Y Gao - Journal of Marine Science and Engineering, 2023 - mdpi.com
The ensemble Kalman filter is often used in parameter estimation, which plays an essential
role in reducing model errors. However, filter divergence is often encountered in an …
role in reducing model errors. However, filter divergence is often encountered in an …
Ensemble-based observation targeting for improving ozone prediction in Houston and the surrounding area
N Bei, F Zhang, JW Nielsen-Gammon - Pure and applied geophysics, 2012 - Springer
This study examines the effectiveness of targeted meteorological observations for improving
ozone prediction in Houston and the surrounding area based on perfect-model simulation …
ozone prediction in Houston and the surrounding area based on perfect-model simulation …