The present generation of general circulation models (GCM) use parameterized cumulus schemes and run at hydrostatic grid resolutions. To improve the representation of cloud-scale moist processes and landeatmosphere interactions, a global, Multi-scale Modeling Framework (MMF) coupled to the Land Information System (LIS) has been developed at NASA-Goddard Space Flight Center. The MMFeLIS has thre...

Abstract Extreme rainfall events leading to severe hydrological impacts warrant an accurate prediction of such not only on time but also in magnitude. Sri Lanka is a South Asian country that frequently affected by tropical storms. The primary aim this study was improve heavy forecast during the North-East monsoon over Badulu Oya catchment, Lanka. This accomplished simulating precipitation for t...

One important task in current and future communication networks is to define a suitable pricing scheme. It is then preferable to formulate a mathematical model, so that parameters will be optimized and important properties such as fairness or truthful anticipated load revelation (or incentive compatibility) will be verified. In this paper we study a simple and promising scheme called the cumulu...

The sensitivity of regional climate model simulations to domain size and position is becoming increasingly important for generating reliable scenarios. In this study, the Central America CORDEX (CCA) at 50 km horizontal resolution with a relaxation zone 10° around boundaries (CCA+) was taken as basis increase in RegCM4.4 model. low-level circulation precipitation patterns over America, western ...

Non Uniform Rational B-splines (NURBs) are proved to be very promising for metamodeling in engineering problems, because they have unique properties such as local modification scheme, strong convex hull property, and infinitely differentiability, etc. Since NURBs are defined by control points, knot vector, and weights associated with control points, the precision of NURBs is influenced by all o...

The probabilistic bulk convection model (PBCM) developed in a companion paper is here extended to shallow nonprecipitating convection. The PBCMunifies the clear-sky and shallow convection boundary layer regimes by obtaining mixed-layer growth, cloud fraction, and convective inhibition from a single parameterization based on physical principles. The evolution of the shallow convection PBCM is ba...

Process-scale development, evaluation, and calibration of physically based parameterizations clouds radiation are powerful levers for improving weather climate models. In a series papers, we propose strategy process-based models that uses machine learning techniques. It relies on systematic comparisons single-column versions with explicit simulations boundary-layer dynamics (Large-Eddy Simulati...