Data Assimilation in Numerical Weather and Climate Models
نویسندگان
چکیده
منابع مشابه
Grids in Numerical Weather and Climate Models
Since the early 20th century numerical weather prediction (NWP) has increasingly become one of the most important and complicated problems of modern science. With the advent of computers, increased observations, and progress in theoretical understanding, numerical models were developed. Since then, such models are playing an increasing role in under‐ standing and predicting weather and climate ...
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 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 کاملAssimilation 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 کاملTowards assimilation of InSAR data in operational weather models
InSAR signal delays due to the varying atmospheric refractivity are a potential data source to improve weather models [1]. Especially with the launch of the new Sentinel-1 satellites, which increases data coverage, latency and accessibility, it may become possible to operationalize the assimilation of differential integrated refractivity (DIR) values in numerical weather models. Although studie...
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: Advances in Meteorology
سال: 2015
ISSN: 1687-9309,1687-9317
DOI: 10.1155/2015/626893