Running the GFS Parallel System Hybrid GSI/EnKF on Zeus NOAA/NWS/NCEP/EMC * This presentation contains Overview of Hybrid GDAS structure Running an ...
Intercomparison of variational, EnKF, and ensemble-4D-Var data assimilation ... EnKF: sequential-in-obs-batches explicit solution (not equivalent to global solution) ...
4D-Var is known to spin-up faster than EnKF because it is a smoother: it keeps ... EnKF spins-up fast if starting from a 'good' initial state, e.g., 3D-Var ...
WWRP/THORPEX Workshop on 4D-VAR and Ensemble Kalman Filter ... 4D-Var and EnKF: both operational at CMC since 2005. both use Canadian GEM forecast model ...
Boundary conditions: D1 updated by 12 hourly FNL analysis ... WRF EnKF vs. 3DVar over the Month of June 2003 ... difference averaged over the entire month ...
Using more realistic radar configurations than in Tong and ... surface, and f is the radar azimuth angle, and assuming the atmosphere has standard refraction. ...
Assimilating Earth Observation Data into a Vegetation Model using an Ensemble Kalman Filter ... EnKF augmented analysis. Aa = A A' 'THT(H ' 'THT Re)-1(D - H ) ...
The ensemble is produced using perturbed surface forcing fluxes (windstress, SST, ... assimilated ocean observations should also be perturbed (as in a stochastic EnKF) ...
Ensemble Kalman Filters for WRF-ARW Chris Snyder MMM and IMAGe National Center for Atmospheric Research Presented by So-Young Ha (MMM/NCAR) Preliminaries Notation: x ...
Performance Characteristics of a. Pseudo-operational ... Altimeter. Surface. 18 UTC. 12 UTC. 06 UTC. 00 UTC. Variables. Obs. Type. Probabilistic Analyses ...
Prof. James Carton. Prof. Owen Thompson. Prof. Brian Hunt. Dr. Joaquim Ballabrera ... Drs. Franco Molteni and Fred Kucharski kindly provided the SPEEDY model. ...
Implementation and Testing of 3DEnVAR and 4DEnVAR Algorithms within the ARPS Data Assimilation Framework Chengsi Liu, Ming Xue, and Rong Kong Center for Analysis and ...
University of Washington Modeling Infrastructure Available for Olympex Cliff Mass University of Washington Work for the Next Year Provide model data sets to Jessica ...
An Integrated Uncertainty and Ensemble Data Assimilation Approach for Improved Operational Streamflow Predictions Kevin (Minxue) He NOAA/NWS Office of Hydrologic ...
Better Data Assimilation through Gradient Descent Leonard A. Smith, Kevin Judd and Hailiang Du Centre for the Analysis of Time Series London School of Economics
Ensemble-based adaptive sampling and data assimilation issues in tropical cyclones Sharanya J. Majumdar (RSMAS/U.Miami) Collaborators, present and future:
Vaisala/University of Washington Real-observation Experiments Clifford Mass, Gregory Hakim, Phil Regulski, Ryan Torn, Jennifer Fletcher Department of Atmospheric Sciences
Tests of a Prototype Ensemble Data Assimilation System at NCEP ... a variant of 3D-Var that allows some anisotropy of background-error covariances. ...
Assimilation of Satellite Soil Moisture Blended Products from SMOPS in NCEP Global Forecast System Weizhong Zheng1,2, Xiwu Zhan3, Jicheng Liu4, Michael Ek1, Jesse ...
Statistical Characteristics of High-Resolution COSMO Ensemble Forecasts in view of Data Assimilation Priority Project KENDA Daniel Leuenberger MeteoSwiss, Zurich ...
... at the Land Surface) is a spatially-distributed (grid cell) surface flux ... Soil porosity reflectance properties. Topography: Surface elevation or slope ...
Ensemble Data Assimilation and its Impact. on Seasonal Hindcast Skill. Christian Keppenne1, Michele Rienecker2, Nicole Kurkowski3, Jossy Jacob4 & Robin ...
... the fastest we have ever begun assimilating data from a new satellite sensor after launch GPS RO Bending Angle replaced Refractivity ... Radar (TDR) Data using ...
Models, however, are prone to large uncertainties, and hence ... flux of -ray at a point (xo,yo, zo) from source of energy E dispersed in air. Total dose rate ...
... to a sophisticated nonlinear model (e.g. ROMS, POM, ECOM, FVCOM, HYCOM) since the data assimilation algorithm is independent of the forecast model.
... measurement characteristics (uncertainty, overpass frequency, pixel size, etc. ... Tradeoffs on slope/depth and discharge errors with overpass sampling frequency ...
Oscar Alves and the POAMA Team CAWCR (Centre for Australian Weather and Climate Research) Australian Bureau of Meteorology The Centre for Australian Weather and ...
Assimilating remotely sensed snow observations into a macroscale hydrologic model ... Additional information about snow properties may be gained from land ...
... modes, which are re-orthogonalized and truncated to a fixed number during each time step. ... account for the truncation error, by introducing directions ...
No daily gridded tropospheric-wide circulation dataset before ... (courtesy S. Bronniman and A Grant, ETH) * Assumes observation error of 20 m. Anom Corr = 0.96 ...
Simultaneous Estimation of Microphysical Parameters and ... n0h an order of magnitude lager than true value. n0s an order of magnitude lager than true value ...
... on other french airports. A local approach ... air traffic can be reduced half time (Paris-Cdg airport) ... useful tool for fog prediction in the airports ...
Constant with time, and same for 3D-Var ... rawinsonde only ... based on the sensitivity study (impact of the carbon concentration data on the flux estimation) ...
TOPAZ evaluation. L. Bertino, F. Counillon, P. Sakov. Mohn-Sverdrup Center/NERSC ... The TOPAZ model system. TOPAZ3: Atlantic and Arctic. HYCOM EVP sea-ice model ...
Two data assimilation techniques are used, the Ensemble Kalman filter and the ... One of the challenges inherent in such a data assimilation system is the ...
Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations Cliff Mass and David Ovens University of Washington Seattle, Washington