C. E. Goodale

TL;DR: In this article, the CORDEX-Africa regional climate model (RCM) hindcast experiment is evaluated for model skill and systematic biases for month-mean precipitation, mean (TAVG), maximum (TMAX) and minimum (TMIN) surface air temperatures, and cloudiness from the CARM experiment.

TL;DR: This article evaluated surface air temperature, precipitation, and insolation over the conterminous United States region from the North American Regional Climate Change Assessment Program (NARCCAP) regional climate model hindcast study using the Jet Propulsion Laboratory (JPL) Regional Climate Model Evaluation System (RCMES).

TL;DR: The results show that applying graph theory to this problem allows for the identification of features from infrared satellite data and the seamlessly identification in a precipitation rate satellite-based dataset, while innately handling the inherent complexity and non-linearity of mesoscale convective systems.

TL;DR: The scientific domain provides a rich array of case studies that offer ready insight into many of the modern software engineering, and software architecture challenges associated with data-intensive systems.

TL;DR: The authors' focus is on the description of software tools and services that meet these stringent challenges, and on informing the broader communities of climate modelers, remote sensing experts, and software engineers on the lessons learned from their experience so that future systems can benefit and improve upon their existing results.