Data assimilation in the geosciences: An overview of methods, issues, and perspectives
We commonly refer to state estimation theory in geosciences as data assimilation (DA). This
term encompasses the entire sequence of operations that, starting from the observations of a …
term encompasses the entire sequence of operations that, starting from the observations of a …
Land data assimilation: Harmonizing theory and data in land surface process studies
Data assimilation plays a dual role in advancing the “scientific” understanding and serving
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …
[HTML][HTML] A review of innovation-based methods to jointly estimate model and observation error covariance matrices in ensemble data assimilation
A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error
Covariance Matrices in Ensemble Data Assimilation in: Monthly Weather Review Volume 148 …
Covariance Matrices in Ensemble Data Assimilation in: Monthly Weather Review Volume 148 …
Adaptive covariance relaxation methods for ensemble data assimilation: Experiments in the real atmosphere
Covariance inflation plays an important role in the ensemble Kalman filter because the
ensemble‐based error variance is usually underestimated due to various factors such as the …
ensemble‐based error variance is usually underestimated due to various factors such as the …
On the properties of ensemble forecast sensitivity to observations
Evaluating impacts of observations on the skill of numerical weather prediction (NWP) is
important. The Ensemble Forecast Sensitivity to Observation (EFSO) provides an efficient …
important. The Ensemble Forecast Sensitivity to Observation (EFSO) provides an efficient …
Predictability of record-breaking rainfall in Japan in July 2018: Ensemble forecast experiments with the near-real-time global atmospheric data assimilation system …
Abstract 1 This paper is the first publication presenting the predictability of the record-
breaking 2 rainfall in Japan in July 2018 (RJJ18), the severest flood-related disaster since …
breaking 2 rainfall in Japan in July 2018 (RJJ18), the severest flood-related disaster since …
Progress from TRMM to GPM
K Nakamura - Journal of the Meteorological Society of Japan. Ser. II, 2021 - jstage.jst.go.jp
Abstract The Tropical Rainfall Measuring Mission (TRMM) satellite was launched in 1997,
and the observations continued for more than 17 years. The features of TRMM observation …
and the observations continued for more than 17 years. The features of TRMM observation …
A local particle filter and its Gaussian mixture extension implemented with minor modifications to the LETKF
A particle filter (PF) is an ensemble data assimilation method that does not assume
Gaussian error distributions. Recent studies proposed local PFs (LPFs), which use …
Gaussian error distributions. Recent studies proposed local PFs (LPFs), which use …
One‐dimensional maximum‐likelihood estimation for spaceborne precipitation radar data assimilation
Spaceborne precipitation radar such as Global Precipitation Measurement (GPM)/dual‐
frequency precipitation radar (DPR) provides valuable observations of precipitation systems …
frequency precipitation radar (DPR) provides valuable observations of precipitation systems …
Online estimation of colored observation‐noise parameters within an ensemble Kalman filtering framework
NF Raboudi, B Ait‐El‐Fquih… - Quarterly Journal of the …, 2023 - Wiley Online Library
This work addresses the problem of data assimilation in large‐dimensional systems with
colored observation noise of unknown statistics, a scenario that will become more common …
colored observation noise of unknown statistics, a scenario that will become more common …