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Showing papers by "American Meteorological Society published in 2015"


Journal ArticleDOI
TL;DR: The State of the Climate for 2014 as mentioned in this paper is a very low-resolution file and it can be downloaded in a few minutes for a high-resolution version of the report to download.
Abstract: Editors note: For easy download the posted pdf of the State of the Climate for 2014 is a very low-resolution file. A high-resolution copy of the report is available by clicking here. Please be patient as it may take a few minutes for the high-resolution file to download.

104 citations


Journal ArticleDOI
TL;DR: The DataStreme Earth's Climate System (DataStreme ECS) course as mentioned in this paper was built on 20 years of AMS in-service K-12 teacher professional development experience, and is supported by educational research.
Abstract: The DataStreme Earth's Climate System (DataStreme ECS) course implementation has been built on 20 years of American Meteorological Society (AMS) in-service K–12 teacher professional development experience, and is supported by educational research. Using the Targeting Outcomes of Programs model, DataStreme ECS was evaluated over a three-year, six-semester (spring 2011–fall 2013) study period through content and pedagogical focused pre- and posttests, a postcourse assessment, and an environmental literacy evaluation. During the NASA and NSF-supported study period the course prepared 1,027 teachers, via 25 Local Implementation Teams serving 35 states, to lead and assist their students and peers in understanding climate and global change issues. Notable evaluation results include an average 28% grade increase for teacher participants from pre- to posttest, as well as an average of 98% of participants reporting that their environmental literacy had increased (some or much) as a result of the course. T...

4 citations


Book ChapterDOI
01 Jan 2015
TL;DR: This paper presents the current advances in novel EV architectures based on embedded computing devices, communication systems and management algorithms.
Abstract: Future generations of electric vehicles (EVs) require a scalable, layered architecture addressing different system aspects such as scalable modules, uniform communication, and hardware (HW) and software (SW) architectures This will reduce the number of electronic control units as well as the variety of communication, sensor data fusion and charging infrastructure interfaces The architecture is based on distributed processing with novel propulsion systems and electronic control units implemented as embedded systems containing HW and SW algorithms Sensing, actuation, signal processing and computing devices are embedded in the electronic equipment, motors, batteries and the mechanical components This paper presents the current advances in novel EV architectures based on embedded computing devices, communication systems and management algorithms

3 citations