• Nenhum resultado encontrado

[PDF] Top 20 Variational data assimilation with superparameterization

Has 10000 "Variational data assimilation with superparameterization" found on our website. Below are the top 20 most common "Variational data assimilation with superparameterization".

Variational data assimilation with superparameterization

Variational data assimilation with superparameterization

... the latter cannot be unambiguously associated with any real physical location. A key update of the GLM14 framework is that we here compute a small scale analysis es- timate at locations where observations are ... See full document

24

Variational assimilation of remotely sensed flood extents using a 2-D flood model

Variational assimilation of remotely sensed flood extents using a 2-D flood model

... areas with decent monitoring systems, and are therefore likely to be insufficient to support reliable model ...sensing data with different spatial and temporal coverage now become increas- ingly ... See full document

15

Technical Note: Comparison of ensemble Kalman filter and variational approaches for CO<sub>2</sub> data assimilation

Technical Note: Comparison of ensemble Kalman filter and variational approaches for CO<sub>2</sub> data assimilation

... estimates, with the EnSRF per- formance decreasing as the observational network becomes sparser and more heterogeneous, and (b) 4D-VAR also fails to reproduce the BIM best estimates when the observational network ... See full document

18

Hybrid variational-ensemble assimilation of lightning observations in a mesoscale model

Hybrid variational-ensemble assimilation of lightning observations in a mesoscale model

... lightning data and ob- served GOES IR and WWLLN lightning flash rates (bottom-three plots, courtesy of Gregory DeMaria and Jack Dostalek) for cycles 1, 3, and ...agreement with information content, implying ... See full document

36

Turbulent viscosity optimized by data assimilation

Turbulent viscosity optimized by data assimilation

... the variational formulation of the dynamic model acting as a strong ...that, with such a strong constraint formulation, the simultaneous optimization of the initial conditions, the boundary conditions and ... See full document

15

Use of the breeding technique to estimate the structure of the analysis &#039;errors of the day&#039;

Use of the breeding technique to estimate the structure of the analysis 'errors of the day'

... as data assimilation (Daley, 1993; Kalnay, ...3-Dimensional Variational data assimilation (3D-Var) to cre- ate the analysis that is used as an initial condition for the ...two ... See full document

11

Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS)  and its application of the Data Assimilation Research Testbed (DART) in  support of aerosol forecasting

Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting

... The variational approach, which is used in the current NAVDAS-AOD system, uses a static model forecast ...time, with the flow-dependent covariances between different state components determining how ... See full document

25

The SPRINTARS version 3.80/4D-Var data assimilation system: development and inversion experiments based on the observing system simulation experiment framework

The SPRINTARS version 3.80/4D-Var data assimilation system: development and inversion experiments based on the observing system simulation experiment framework

... emissions with the STEM 4D-Var ...Asia with an in situ lidar network and the RAMS/CFORS-4DVAR (RC4) data assimilation ...satellite data using the adjoint of the GOCART ...sion ... See full document

18

Optimizing global CO emissions using a four-dimensional variational data assimilation system and surface network observations

Optimizing global CO emissions using a four-dimensional variational data assimilation system and surface network observations

... mixing ratios including events with enhanced CO mixing ratios. The mean bias between modeled CO mixing ratios and observations from the NOAA surface network reduces for nearly all stations and the χ 2 /n ... See full document

46

A case for variational geomagnetic data assimilation: insights from a one-dimensional, nonlinear, and sparsely observed MHD system

A case for variational geomagnetic data assimilation: insights from a one-dimensional, nonlinear, and sparsely observed MHD system

... ational data assimilation (VDA) is more versatile than se- quential data assimilation (SDA), at the expense of a more involved implementation – for an enlightening introduction to the topic, ... See full document

18

Development of a hybrid variational-ensemble data assimilation technique for observed lightning tested in a mesoscale model

Development of a hybrid variational-ensemble data assimilation technique for observed lightning tested in a mesoscale model

... grid), with a spacing of 0.1 degrees (∼ 10 km) in order to be comparable with the horizontal grid spacing of the smallest domain of our model configuration that will be discussed in ...coinciding ... See full document

15

Screen-level non-GTS data assimilation in a limited-area mesoscale model

Screen-level non-GTS data assimilation in a limited-area mesoscale model

... studies with a demonstrated positive impact of it, are not assimilated since at the beginning of the model’s history, in some pre- operational test, their inclusion has been showed to degrade the low-tropospheric ... See full document

21

Hydrological real-time modelling in the Zambezi river basin using satellite-based soil moisture and rainfall data

Hydrological real-time modelling in the Zambezi river basin using satellite-based soil moisture and rainfall data

... A similar effect can be observed if the correlation between the Basin Water Index (BWI) and the measured discharge is analyzed (Fig. 3). The BWI is calculated by averaging the SWI over the whole river basin (Scipal et ... See full document

10

Effects of model chemistry and data biases on stratospheric ozone assimilation

Effects of model chemistry and data biases on stratospheric ozone assimilation

... temperature data that are prone to sudden offsets or slow drifts may be better off using non- adaptive photochemistry to maintain forecast reliability, and using mean O−Fs to monitor the system for these input ... See full document

19

Combined assimilation of IASI and MLS observations to constrain tropospheric and stratospheric ozone in a global chemical transport model

Combined assimilation of IASI and MLS observations to constrain tropospheric and stratospheric ozone in a global chemical transport model

... Lahoz, W. A., Geer, A. J., Bekki, S., Bormann, N., Ceccherini, S., Elbern, H., Errera, Q., Es- kes, H. J., Fonteyn, D., Jackson, D. R., Khattatov, B., Marchand, M., Massart, S., Peuch, V.-H., Rharmili, S., Ridolfi, M., ... See full document

51

Systematic evaluation of the impacts of GPSRO data on the prediction of typhoons over the northwestern Pacific in 2008–2010

Systematic evaluation of the impacts of GPSRO data on the prediction of typhoons over the northwestern Pacific in 2008–2010

... (GPSRO) data on typhoon-track prediction over the north- western ...perform data assimilation and forecast experiments using the Typhoon Weather Re- search and Forecasting (TWRF) system at 45 km ... See full document

12

Correction of upstream flow and hydraulic state with data assimilation in the context of flood forecasting

Correction of upstream flow and hydraulic state with data assimilation in the context of flood forecasting

... the data assimilation algorithm must degradate the simulation at the other ob- servation ...two-step data assimilation procedure enabled the detection of a model incoherence on the Marne ... See full document

55

Impact of radar data assimilation for the simulation of a heavy rainfall case in central Italy using WRF–3DVAR

Impact of radar data assimilation for the simulation of a heavy rainfall case in central Italy using WRF–3DVAR

... of data assimilation have been investigated: the successive cor- rections method (SCM), the optimal interpolation (OI), the variational methods 3DVAR and 4DVAR, and the Kalman fil- ter (KF) are some ... See full document

17

Assessing the benefit of snow data assimilation for runoff modeling in Alpine catchments

Assessing the benefit of snow data assimilation for runoff modeling in Alpine catchments

... input with data coming both from the exter- nal snow ...Runoff data observed at the outlet of all catchments considered in this study were used for calibra- tion and validation of the ...runoff ... See full document

11

A variational principle for impulsive semiflows

A variational principle for impulsive semiflows

... systems with impulse perturbations seem to be an efficient mathematical tool to describe real world phenomena that exhibit abrupt transitions in their phase space; see the introduction of [2] and references therein ... See full document

21

Show all 10000 documents...