Sentences with phrase «stochastic models for»

O'Gorman, P. A., and T. Schneider, 2006: Stochastic models for the kinematics of moisture flux and condensation in homogeneous turbulent flows.

Not exact matches

Here we use a stochastic, two - sex computational model implemented by computer simulation to show how male mating preference for younger females could lead to the accumulation of mutations deleterious to female fertility and thus produce a menopausal period.

(INFERence of RNA ALignment) searches DNA sequence databases for RNA structure and sequence similarities and uses a special case of profile stochastic context - free grammars called covariance models (CMs).

All forecasted SST series were pooled and for each calendar year the forecasted nest abundances is the model average for the ensemble of 200 simulations, essentially, deterministic models within a stochastic shell [59].

With a stochastic dynamic system model containing a hundred free parameters, do you have any idea how easy it is to get the right answer... for the * wrong * reasons?

Using a stochastic model of storm motion derived from historic tracks, this paper explores the relationship between lead time and track uncertainty for Atlantic hurricanes and the implications of this relationship for evacuation decisions.

If the model is accurate enough, then the model run with the realization of the stochastic process that most matches the future record ought to be a reasonably accurate model for the evolution the mean global temperature.

A true «prediction» can't be made because the result will depend on the future volcanic eruptions and other influences on albedo, but you can run the model for each of a couple dozen stochastic processes for the future volcanic activity.

IMHO, applying stochastic methods on some specific grid points in the climate models that might have something «unusual», such as a random forest fire, forest clearance, crop failure, or a vast algal bloom, or overfishing going on, might be reasonable, but deteremining the boundary conditions for these to happen is another matter.

The method combines the results of long - term atmospheric reanalyses downscaled with a stochastic statistical method and homogenized station observations to derive the meteorological forcing needed for hydrological modeling.

Edward Epstein recognized in 1969 that the atmosphere could not be completely described with a single forecast run due to inherent uncertainty, and proposed a stochastic dynamic model that produced means and variances for the state of the atmosphere.

We compare aircraft observations to modeled CH4 distributions by accounting for a) transport using the Stochastic Time - Inverted Lagrangian Transport (STILT) model driven by Weather Research and Forecasting (WRF) meteorology, b) emissions from inventories such as EDGAR and ones constructed from California - specific state and county databases, each gridded to 0.1 ° x 0.1 ° resolution, and c) spatially and temporally evolving boundary conditions such as GEOS - Chem and a NOAA aircraft profile measurement derived curtain imposed at the edge of the WRF domain.

Seven single - site statistical downscaling methods for daily temperature and precipitation, including four deterministic algorithms [analog model (ANM), quantile mapping with delta method extrapolation (QMD), cumulative distribution function transform (CDFt), and model - based recursive partitioning (MOB)-RSB- and three stochastic algorithms [generalized linear model (GLM), Conditional Density Estimation Network Creation and Evaluation (CaDENCE), and Statistical Downscaling Model — Decision Centric (SDSM — DC] are evaluated at nine stations located in the mountainous region of Iran's Midmodel (ANM), quantile mapping with delta method extrapolation (QMD), cumulative distribution function transform (CDFt), and model - based recursive partitioning (MOB)-RSB- and three stochastic algorithms [generalized linear model (GLM), Conditional Density Estimation Network Creation and Evaluation (CaDENCE), and Statistical Downscaling Model — Decision Centric (SDSM — DC] are evaluated at nine stations located in the mountainous region of Iran's Midmodel - based recursive partitioning (MOB)-RSB- and three stochastic algorithms [generalized linear model (GLM), Conditional Density Estimation Network Creation and Evaluation (CaDENCE), and Statistical Downscaling Model — Decision Centric (SDSM — DC] are evaluated at nine stations located in the mountainous region of Iran's Midmodel (GLM), Conditional Density Estimation Network Creation and Evaluation (CaDENCE), and Statistical Downscaling Model — Decision Centric (SDSM — DC] are evaluated at nine stations located in the mountainous region of Iran's MidModel — Decision Centric (SDSM — DC] are evaluated at nine stations located in the mountainous region of Iran's Midwest.

Regarding the example of the true sensitivity distribution of the black - box climate model: If the model were stochastic and path - dependent, it could be that different realizations would converge to different equilibrium temperatures for the same forcings.

Recommendations for verification are: 1) comparison to other models 2) degenerate tests 3) event validity 4) extreme event validity 5) extreme condition tests 6) «face» validity tests 7) fixed value tests 8) historical data validation 9) internal validity (stochastic runs) 10) multistage validation 11) parameter variability - sensitivity analysis 12) predictive validation 13) traces 14) turing tests (i didn't know what this is so googled ECWMF turing test, and i got 150 hits)

Meta - analyses of friendship networks (stochastic actor - oriented models for the coevolution of networks and behavior)

This paper illustrates a method for operationalizing affect dynamics using a multilevel stochastic differential equation (SDE) model, and examines how those dynamics differ with age and trait - level tendencies to deploy emotion regulation strategies (reappraisal and suppression).

Parameter estimates for stochastic actor - based model of friendship network, depressive symptoms and alcohol misuse