Big Data in Earth system science and progress towards a digital twin
The concept of a digital twin of Earth envisages the convergence of Big Earth Data with
physics-based models in an interactive computational framework that enables monitoring …
physics-based models in an interactive computational framework that enables monitoring …
The digital revolution of Earth-system science
Computational science is crucial for delivering reliable weather and climate predictions.
However, despite decades of high-performance computing experience, there is serious …
However, despite decades of high-performance computing experience, there is serious …
[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 …
[HTML][HTML] A localized particle filter for high-dimensional nonlinear systems
J Poterjoy - Monthly Weather Review, 2016 - journals.ametsoc.org
This paper presents a new data assimilation approach based on the particle filter (PF) that
has potential for nonlinear/non-Gaussian applications in geoscience. Particle filters provide …
has potential for nonlinear/non-Gaussian applications in geoscience. Particle filters provide …
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 …
Ensemble size: How suboptimal is less than infinity?
M Leutbecher - Quarterly Journal of the Royal Meteorological …, 2019 - Wiley Online Library
Ensemble forecasts are the method of choice in numerical weather prediction (NWP) to
generate probabilistic forecasts. The number of members in an ensemble is an important …
generate probabilistic forecasts. The number of members in an ensemble is an important …
“Big data assimilation” toward post-petascale severe weather prediction: An overview and progress
Following the invention of the telegraph, electronic computer, and remote sensing,“big data”
is bringing another revolution to weather prediction. As sensor and computer technologies …
is bringing another revolution to weather prediction. As sensor and computer technologies …
[HTML][HTML] A localized adaptive particle filter within an operational NWP framework
R Potthast, A Walter, A Rhodin - Monthly Weather Review, 2019 - journals.ametsoc.org
Particle filters are well known in statistics. They have a long tradition in the framework of
ensemble data assimilation (EDA) as well as Markov chain Monte Carlo (MCMC) methods …
ensemble data assimilation (EDA) as well as Markov chain Monte Carlo (MCMC) methods …
A convective‐scale 1,000‐member ensemble simulation and potential applications
This study presents the first convective‐scale 1,000‐member ensemble simulation over
central Europe, which provides a unique data set for various applications. A comparison with …
central Europe, which provides a unique data set for various applications. A comparison with …
Development of the real‐time 30‐s‐update big data assimilation system for convective rainfall prediction with a phased array weather radar: Description and …
We present the first ever real‐time numerical weather prediction system with 30‐s update
cycles at a 500‐m grid spacing for the prediction of convective precipitation in the …
cycles at a 500‐m grid spacing for the prediction of convective precipitation in the …