[HTML][HTML] Assimilating all-sky Himawari-8 satellite infrared radiances: A case of Typhoon Soudelor (2015)
Assimilating All-Sky Himawari-8 Satellite Infrared Radiances: A Case of Typhoon Soudelor (2015)
in: Monthly Weather Review Volume 146 Issue 1 (2018) Jump to Content Jump to Main …
in: Monthly Weather Review Volume 146 Issue 1 (2018) Jump to Content Jump to Main …
SDRBench: Scientific data reduction benchmark for lossy compressors
Efficient error-controlled lossy compressors are becoming critical to the success of today's
large-scale scientific applications because of the ever-increasing volume of data produced …
large-scale scientific applications because of the ever-increasing volume of data produced …
Assimilation of Himawari‐8 all‐sky radiances every 10 minutes: Impact on precipitation and flood risk prediction
Japan's new geostationary satellite “Himawari‐8” enables updating precipitation and flood
predictions as frequently as every 10 min and to capture as early as possible the flood risk …
predictions as frequently as every 10 min and to capture as early as possible the flood risk …
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 …
Improving prediction-based lossy compression dramatically via ratio-quality modeling
Error-bounded lossy compression is one of the most effective techniques for reducing
scientific data sizes. However, the traditional trial-and-error approach used to configure …
scientific data sizes. However, the traditional trial-and-error approach used to configure …
Toward quantity-of-interest preserving lossy compression for scientific data
Today's scientific simulations and instruments are producing a large amount of data, leading
to difficulties in storing, transmitting, and analyzing these data. While error-controlled lossy …
to difficulties in storing, transmitting, and analyzing these data. While error-controlled lossy …
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 …
Advantage of 30‐s‐updating numerical weather prediction with a phased‐array weather radar over operational nowcast for a convective precipitation system
Convective precipitation systems in the summer often cause sudden heavy precipitation and
largely affect various human activities, but the rapid evolution limits our predicting capability …
largely affect various human activities, but the rapid evolution limits our predicting capability …
Distributions and convergence of forecast variables in a 1,000‐member convection‐permitting ensemble
The errors in numerical weather forecasts resulting from limited ensemble size are explored
using 1,000‐member forecasts of convective weather over Germany at 3‐km resolution. A …
using 1,000‐member forecasts of convective weather over Germany at 3‐km resolution. A …
Ensemble Forecast Sensitivity to Observations Impact (EFSOI) applied to a regional data assimilation system over south-eastern South America
G Casaretto, ME Dillon, YG Skabar, JJ Ruiz… - Atmospheric …, 2023 - Elsevier
Observations that are assimilated into numerical weather prediction systems are conformed
by numerous data sets and their impact should be objectively evaluated. This can be …
by numerous data sets and their impact should be objectively evaluated. This can be …