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"Big Data Assimilation": Revolutionizing Weather Prediction
Published on Sep 19, 20162138 Views
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Chapter list
"Big Data Assimilation": Revolutionizing Weather Prediction00:00
Who am I?01:37
Data Assimilation Research Team04:30
Global 870-m simulation (Miyamoto et al. 2013)04:39
Computers keep advancing…05:16
A simulated study using the T30/L7 SPEEDY AGCM06:00
10240 parallel earths06:20
Advantage of large ensemble07:24
A real-world study using the NICAM10:47
With subsets of 10240 samples11:02
Sources of Big Data11:54
Global Observing System12:15
Observation data (6-h period) - 112:18
Observation data (6-h period) - 213:42
Next-generation geostationary satellite14:21
L1 products (Improvement of temporal resolution)14:52
Big Data Assimilation15:15
Data Assimilation (DA)15:25
DA workflow16:10
Data size in NWP16:50
Workflow with current data size17:58
Workflow with extreme-scale18:11
Toward next 20 years of DA19:37
Near-real-time SCALE-LETKF20:00
Severe disaster case in Sep. 201520:38
9/9~9/10, 201521:29
mprove forecasts by fully utilizing observation Big Data22:27
Himawari-8: A new generation satellite23:13
Untitled24:30
Typhoon Soudelor (2015) - 224:40
Typhoon Soudelor (2015) - 325:01
Precipitation patterns26:16
Phased Array Weather Radar (PAWR)27:22
Data Assimilation - 128:48
Data Assimilation - 228:52
Data Assimilation - 328:56
Data Assimilation - 428:59
Revolutionary super-rapid 30-sec. cycle29:24
File I/O Middleware (FARB)30:32
Evaluation of FARB32:01
A case selected for the first offline study32:47
30-sec. and 5-min. evolutions33:16
First results33:45
Advantage of 100-m simulation34:53
9/11/2014 morning, biked to office - 136:15
9/11/2014 morning, biked to office - 236:51
9/11/14 morning torrential rain37:50
Summary and a perspective38:47