Advances in numerical weather prediction represent a quiet revolution because they have
resulted from a steady accumulation of scientific knowledge and technological advances …

Stochastic methods are a crucial area in contemporary climate research and are
increasingly being used in comprehensive weather and climate prediction models as well as …

The mathematical theory of stochastic dynamics has become an important tool in the
modeling of uncertainty in many complex biological, physical, and chemical systems and in …

A stochastic parameterization scheme for deep convection is described, suitable for use in
both climate and NWP models. Theoretical arguments and the results of cloud-resolving …

We investigate the sensitivity of surface temperature trends to land use land cover change
(LULC) over the conterminous United States (CONUS) using the observation minus …

The role of model resolution in simulating geophysical vortices with the characteristics of
realistic tropical cyclones (TCs) is well established. The push for increasing resolution …

The importance of probabilistic weather predictions and climate projections is growing. One
of the key elements of the former is stochastic physics, schemes that perturb some uncertain …

Parameterizations for physical processes in weather and climate models are
computationally expensive. We use model output from the Weather Research Forecast …

The present volume addresses the profound question of how one can anticipate nature's
course, scientifically and practically; the question is answered from the points of view of …

Climate is not new on the anthropological agenda; it has been immanent in ethnographic
descriptions since the early days of anthropology. Immanence is a key word here, because …