Numerical Prediction and Data Assimilation
Doppler Radar Data Assimilation for Mesoscale Numerical Rainfall Prediction
... The assimilation of appropriate observations into the NWP system can help improve the initial conditions and even initialize convective-scale events (Sokol, 2009; Liu, Bray, & Han, ...the assimilation ...
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Prediction of geomagnetic field with data assimilation: a candidate secular variation model for IGRF 11
... studies, assimilation of data and dynamical mod- els can bring numerical solutions closer to the real geo- physical ...magnetic data into the model output, the predicted solution can be drawn ...
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Impact of airborne cloud radar reflectivity data assimilation on kilometre-scale numerical weather prediction analyses and forecasts of heavy precipitation events
... the assimilation of humidity, wind and temperature variables have a larger impact on the forecasts compared to hydrome- teor observations (Fabry and Sun, ...indirect assimilation methods to assimi- late ...
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4DVAR assimilation of GNSS zenith path delays and precipitable water into a numerical weather prediction model WRF
... observation data types such as radiosonde (RS) profiles, radiances from satellite observa- tions, SYNOPs, refractivities from radio occultations, pilot reports and many others (Barker et ...GNSS data in ...
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The use of GNSS zenith total delays in operational AROME/Hungary 3D-Var over a central European domain
... endorse numerical weather prediction from global to limited-area ...state-of-the-art data assimilation system. This article intro- duces the data assimilation of ZTDs in a ...
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Mesoscale Resolution Radar Data Assimilation Experiments with the Harmonie Model
... reflectivity data assimilation and the results of simulations with the Harmonie numerical weather prediction ...the prediction of precipitation within the radar location area, both in ...
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A study on WRF radar data assimilation for hydrological rainfall prediction
... mesoscale numerical weather predic- tion (NWP) models are gaining more and more popularity in the hydrometeorological community in providing high- resolution rainfall forecasts at the catchment ...1987). ...
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Data assimilation for plume models
... This study focuses on the behavior of thermal plumes. Plumes of type are important to a wide variety of phenomena, including mantle convection (Kaminski and Jaupart, 2003; Lithgow-Bertelloni et al., 2001), deep sea ...
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Sensitivity analysis with respect to observations in variational data assimilation for parameter estimation
... 2012). Data interpolation algorithms were used (Zakharova et ...the numerical model of the Baltic Sea ...Environmental Prediction) reanalysis was taken for Q (0) ...atmospheric data and taken ...
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A case study carried out with two different NWP systems
... operational data-assimilation and short-range forecast system for their National Weather ...The numerical approximation of HIRLAM in- cludes both a gridpoint version and a spectral version, with ...
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Analysis of data assimilation schemes
... of data into high dimensional dynamical systems provides a rich field for applied ...Lagrangian data for the Navier-Stokes equations, building on the theory of determining modes [34]; thirdly to consider ...
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Physically-based data assimilation
... new assimilation scheme in a sea-ice environment where lower dimensional features in the form of Linear Kinematic Features (LKFs; Kwok, 2001) are abun- dant and ...general assimilation scheme would call for ...
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Ensemble Kalman filter assimilation of temperature and altimeter data with bias correction and application to seasonal prediction
... To update the prior bias estimate, the two-stage estima- tion methods make assumptions about the biased-error and unbiased-error covariance distributions. In this regard, inspi- ration can be drawn from our knowledge of ...
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Assimilation of decomposed in situ directional wave spectra into a numerical wave model of typhoon waves
... wind data calculated using sequential tech- niques are used to correct the winds and waves at each time point of the model regardless of the previous model ...wave data assimilation, Komen (1985) ...
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Consistent assimilation of multiple data streams in a carbon cycle data assimilation system
... different data streams, includ- ing the observation influence and degrees of freedom of sig- nal metrics (Cardinali et ...different data streams, and the impact of a possi- ble bias and observation or ...
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An assessment of the impact of ATMS and CrIS data assimilation on precipitation prediction over the Tibetan Plateau
... is ahead of the heavy rainfall with less than 0.45 mm per 3 h, followed by the rainfall around 03:00 UTC on 4 July to 03:00 UTC on 5 July, with the first peak at 21:00 UTC on 4 July of more than 0.65 mm per 3 h. The ...
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Diabetes data prediction using data classification algorithm
... diabetes data for his effort and the decision tree using WEKA has been used to put up the prediction ...Diabetic data set was used to implement Association ...diabetes data set is used to ...
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Particle Filters and Data Assimilation
... State-space models can be used to incorporate subject knowledge on the underlying dynamics of a time series by the introduction of a latent Markov state-process. A user can specify the dynamics of this process together ...
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A new data assimilation approach for improving runoff prediction using remotely sensed soil moisture retrievals
... separate data assim- ilation strategies outlined in ...forcing data prior to its use as a SAC model forcing ...actual assimilation of soil moisture retrievals into the SAC ...runoff prediction ...
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Investigating the consistency between proxy-based reconstructions and climate models using data assimilation: a mid-Holocene case study
... reconstruction data as it corre- sponds to a standard test for models and a reasonable number of proxy-based records is ...and data agree on the large-scale spatial pattern but the models underesti- mate ...
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