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 …
[HTML][HTML] Intra-hour irradiance forecasting techniques for solar power integration: A review
The ever-growing installation of solar power systems imposes severe challenges on the
operations of local and regional power grids due to the inherent intermittency and variability …
operations of local and regional power grids due to the inherent intermittency and variability …
[图书][B] Data assimilation fundamentals: A unified formulation of the state and parameter estimation problem
This open-access textbook's significant contribution is the unified derivation of data-
assimilation techniques from a common fundamental and optimal starting point, namely …
assimilation techniques from a common fundamental and optimal starting point, namely …
An analog ensemble for short-term probabilistic solar power forecast
The energy produced by photovoltaic farms has a variable nature depending on
astronomical and meteorological factors. The former are the solar elevation and the solar …
astronomical and meteorological factors. The former are the solar elevation and the solar …
[图书][B] Rank issues
G Evensen, G Evensen - 2009 - Springer
It is in the previous chapters stated that the EnKF analysis scheme may have problems in
cases where the number of measurements is larger than the number of members in the …
cases where the number of measurements is larger than the number of members in the …
[HTML][HTML] A 6-year-long (2013–2018) high-resolution air quality reanalysis dataset in China based on the assimilation of surface observations from CNEMC
L Kong, X Tang, J Zhu, Z Wang, J Li… - Earth System …, 2021 - essd.copernicus.org
A 6-year-long high-resolution Chinese air quality reanalysis (CAQRA) dataset is presented
in this study obtained from the assimilation of surface observations from the China National …
in this study obtained from the assimilation of surface observations from the China National …
[HTML][HTML] Probabilistic weather prediction with an analog ensemble
L Delle Monache, FA Eckel, DL Rife… - Monthly Weather …, 2013 - journals.ametsoc.org
Probabilistic Weather Prediction with an Analog Ensemble in: Monthly Weather Review
Volume 141 Issue 10 (2013) Jump to Content Jump to Main Navigation Logo Logo Logo Logo …
Volume 141 Issue 10 (2013) Jump to Content Jump to Main Navigation Logo Logo Logo Logo …
The ensemble Kalman filter for combined state and parameter estimation
G Evensen - IEEE Control Systems Magazine, 2009 - ieeexplore.ieee.org
This article provides a fundamental theoretical basis for understanding EnKF and serves as
a useful text for future users. Data assimilation and parameter-estimation problems are …
a useful text for future users. Data assimilation and parameter-estimation problems are …
[HTML][HTML] GSI 3DVar-based ensemble–variational hybrid data assimilation for NCEP Global Forecast System: Single-resolution experiments
An ensemble Kalman filter–variational hybrid data assimilation system based on the
gridpoint statistical interpolation (GSI) three-dimensional variational data assimilation …
gridpoint statistical interpolation (GSI) three-dimensional variational data assimilation …
The MOGREPS short‐range ensemble prediction system
NE Bowler, A Arribas, KR Mylne… - Quarterly Journal of …, 2008 - Wiley Online Library
Abstract The Met Office has recently introduced a short‐range ensemble prediction system
known as MOGREPS. This system consists of global and regional ensembles, with the …
known as MOGREPS. This system consists of global and regional ensembles, with the …