The future of Earth system prediction: Advances in model-data fusion
Predictions of the Earth system, such as weather forecasts and climate projections, require
models informed by observations at many levels. Some methods for integrating models and …
models informed by observations at many levels. Some methods for integrating models and …
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 …
Latent assimilation with implicit neural representations for unknown dynamics
Data assimilation is crucial in a wide range of applications, but it often faces challenges such
as high computational costs due to data dimensionality and incomplete understanding of …
as high computational costs due to data dimensionality and incomplete understanding of …
[HTML][HTML] Physical characteristics of frozen hydrometeors inferred with parameter estimation
AJ Geer - Atmospheric Measurement Techniques, 2021 - amt.copernicus.org
Frozen hydrometeors are found in a huge range of shapes and sizes, with variability on
much smaller scales than those of typical model grid boxes or satellite fields of view. Neither …
much smaller scales than those of typical model grid boxes or satellite fields of view. Neither …
Quantitative three-dimensional phase-field modeling of dendritic solidification coupled with local ensemble transform Kalman filter
K Takahashi, A Yamanaka - Computational Materials Science, 2021 - Elsevier
Prediction of dendrite growth during alloy solidification is important for controlling the
microstructures and mechanical properties of alloys. To this end, quantitative phase-field …
microstructures and mechanical properties of alloys. To this end, quantitative phase-field …
[HTML][HTML] Estimating hourly surface shortwave radiation over northeast of the Tibetan Plateau by assimilating Himawari-8 cloud optical thickness
T Zhang, H Letu, T Dai, C Shi, Y Lei, Y Peng, Y Lin… - Geoscience Letters, 2024 - Springer
To reduce the uncertainty estimation of clouds and improve the forecast of surface
shortwave radiation (SSR) over the Tibetan Plateau, a new cloud assimilation system is …
shortwave radiation (SSR) over the Tibetan Plateau, a new cloud assimilation system is …
Ensemble‐Based Data Assimilation of GPM DPR Reflectivity: Cloud Microphysics Parameter Estimation With the Nonhydrostatic Icosahedral Atmospheric Model …
Direct assimilation of Dual‐frequency Precipitation Radar (DPR) data of the Global
Precipitation Measurement (GPM) core satellite is challenging mainly due to its long …
Precipitation Measurement (GPM) core satellite is challenging mainly due to its long …
[HTML][HTML] Potential for new constraints on tropical cyclone surface-exchange coefficients through simultaneous ensemble-based state and parameter estimation
RG Nystrom, SJ Greybush, X Chen… - Monthly Weather …, 2021 - journals.ametsoc.org
The tropical cyclone (TC) surface-exchange coefficients of enthalpy (C k) and momentum (C
d) at high wind speeds have been notoriously challenging to estimate. This difficulty arises …
d) at high wind speeds have been notoriously challenging to estimate. This difficulty arises …
[HTML][HTML] Analog data assimilation for the selection of suitable general circulation models
Data assimilation is a relevant framework to merge a dynamical model with noisy
observations. When various models are in competition, the question is to find the model that …
observations. When various models are in competition, the question is to find the model that …
[HTML][HTML] Precision and convergence speed of the ensemble Kalman filter-based parameter estimation: setting parameter uncertainty for reliable and efficient …
Determining physical process parameters in atmospheric models is critical to obtaining
accurate weather and climate simulations; estimating optimal parameters is essential for …
accurate weather and climate simulations; estimating optimal parameters is essential for …