In the course of the hundreds of Rio Chama rafting trips that we've logged during the last 30 years, none of us has ever had a bad trip. Such is the magic of the Rio Chama. No matter the weather, the water level, the season, the crowded Big Eddy boat ramp on a blistering Sunday afternoon, or even the coffee forgotten at home, the Rio Chama remains "The People's River." Its stunning beauty, plus its exceptional camping, user-friendly whitewater, and mostly predictable flows, combine to create one of the Southwest's premiere, multi-day, river running experiences.The spectacular, towering canyon walls of the Wild & Scenic section through the remote Chama River Canyon Wilderness is New Mexico's own "Grand Canyon." The geology of the Rio Chama is so exceptional that this river is ideally suited for a river guide with a geological theme. And so, following the release of the Rio Grande geologic river guide in 2011, we turned our (part-time) attention to the Rio Chama. Although most Rio Chama recreation is focused on the El Vado to Big Eddy stretch, thedecision was easily made to include the entire boatable section, from the highlands in Colorado to the confluence with the Rio Grande, as each section of the river displays its own visual spectacles and assortment of adventures. Plus, the geology is magnificent and diverse along the entire length of the river.

This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014.