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A comprehensive meteorological modeling system—RAMS
SummaryThis paper presents a range of applications of the Regional Atmospheric Modeling System (RAMS), a comprehensive mesoscale meterological modeling system. Applications discussed in this paperExpand
Mesoscale Meteorological Modeling
The 3rd edition of Mesoscale Meteorological Modeling is a fully revised resource for researchers and practitioners in the growing field of meteorological modeling at the mesoscale. Pielke hasExpand
Coupled Atmosphere–Biophysics–Hydrology Models for Environmental Modeling
The formulation and implementation of LEAF-2, the Land Ecosystem‐Atmosphere Feedback model, which comprises the representation of land‐surface processes in the Regional Atmospheric Modeling SystemExpand
Influence of the spatial distribution of vegetation and soils on the prediction of cumulus Convective rainfall
This paper uses published work to demonstrate the link between surface moisture and heat fluxes and cumulus convective rainfall. The Earth's surface role with respect to the surface energy andExpand
A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology
Abstract Natural land surfaces are usually heterogeneous over the resolvable scales considered in atmospheric numerical models. Therefore, model surface parameterizations that assume surfaceExpand
Dynamical downscaling: Assessment of value retained and added using the Regional Atmospheric Modeling System (RAMS)
[1] The value restored and added by dynamical downscaling is quantitatively evaluated by considering the spectral behavior of the Regional Atmospheric Modeling System (RAMS) in relation to its domainExpand
Abrupt Climate Change
TLDR
Policy-makers should consider expanding research into abrupt climate change, improving monitoring systems, and taking actions designed to enhance the adaptability and resilience of ecosystems and economies. Expand
Abrupt climate change.
TLDR
Policy-makers should consider expanding research into abrupt climate change, improving monitoring systems, and taking actions designed to enhance the adaptability and resilience of ecosystems and economies. Expand
Cross-scale interactions, nonlinearities, and forecasting catastrophic events.
TLDR
This work provides an interdisciplinary, conceptual, and general mathematical framework for understanding and forecasting nonlinear dynamics through time and across space and shows that decisions that minimize the likelihood of catastrophic events must be based on cross-scale interactions, and such decisions will often be counterintuitive. Expand
Estimating the Soil Surface Specific Humidity
Abstract Based on the recent experiment results, a formula is proposed to be used in numerical weather-climate models to estimate the soil surface humidity. The formula has a very simple form andExpand
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