“Big Data Assimilation” Revolutionizing Severe Weather Prediction
نویسندگان
چکیده
منابع مشابه
Assimilation of GPS Radio Occultation Data for Numerical Weather Prediction
With the availability of approximately 4,000 radio occultation soundings per day within three hours of observation, COSMIC has the potential to contribute significantly to global and regional weather analysis and prediction. However, the basic radio occultation measurements (phase delays) are very different from traditional meteorological measurements (i.e., temperature, water vapor), and to ef...
متن کاملFour-Dimensional Data Assimilation and Numerical Weather Prediction
All forecast models, whether they represent the state of the weather, the spread of a disease, or levels of economic activity, contain unknown parameters. These parameters may be the model’s initial conditions, its boundary conditions, or other tunable parameters which have to be determined. Four dimensional variational data assimilation (4D-Var) is a method of estimating this set of parameters...
متن کاملThe Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation
In this paper, we first describe the current status of the Advanced Regional Prediction System of the Center for Analysis and Prediction of Storms at the University of Oklahoma. A brief outline of future plans is also given. Two rather successful cases of explicit prediction of tornadic thunderstorms are then presented. In the first case, a series of supercell storms that produced a historical ...
متن کاملPhase - correction Data Assimilation and Application to Storm - scale Numerical Weather Prediction
An objective method of determining and correcting phase or position errors in numerical weather prediction is described and tested in a radar data observing system simulation experiment (OSSE) addressing the forecasting of ongoing thunderstorms. Such phase or position errors are common in numerical forecasts at grid resolutions of 1-to-20 km (meso-γ scale). It is proposed that the process of co...
متن کاملAdaptive tuning of numerical weather prediction models: Randomized GCV in three and four dimensional data assimilation
In variational data assimilation, optimal ingestion of the observational data and optimal use of prior physical and statistical information involve the choice of numerous weighting, smoothing and tuning parameters which control the ltering and merging of divers sources of information. Generally these weights must be obtained from a partial and imperfect understanding of various sources of error...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bulletin of the American Meteorological Society
سال: 2016
ISSN: 0003-0007,1520-0477
DOI: 10.1175/bams-d-15-00144.1