Snowpack Energy Monitoring with Low Cost Instrumentation
Creating affordable weather instrumentation that can be deployed out in the field to monitor the snow depth, the amount of water in the snow pack, as well as snow pack temperature. This is critical in determining flooding potential when the snow pack melts or if there is a rain event on top of a deep snow pack. In the future, more rain-on-snow events will be more frequent and having real time field observations will be critical for forecasting flooding in the White Mountain Region.
Mountain ecosystems provide sustaining water, natural resources, and numerous economic benefits for more than half the world’s population. Climate change threatens the stability of these mountain ecosystems and the economies they support. In New England, Mount Washington and Mount Mansfield are warming more slowly than the lower elevations (Fig. 1). This project hypothesizes that Mount Washington’s variable exposure to two distinct horizontal layers in the atmosphere, the boundary layer and the overlying free troposphere, drives a significant portion of this elevation-dependent warming.
Cold-Air Pools in Mountain Valleys
When this cooling process occurs along mountain slopes, the cooling air becomes colder and denser that the air away from the slopes, which causes the cold air to sink downslope. The dense cold air flows downslope in streams (called katabatic winds) following the steepest slopes. When the cold air flows into a relatively flat area (a mountain or river valley, for example), the streams of cold air slow down. This causes the valley to fill with cold air, much like streams filling a lake.
Monitoring the Intensity of Cosmic Rays From Outer Space
This long-term neutron measurement project was the longest running research project at the Observatory, conducted from 1955-2006 under the tutelage of the late Dr. Jack Lockwood and Dr. Jim Ryan of UNH's Physics Department, Institute for the Study of Earth, Oceans, and Space.
Mount Washington Regional Mesonet
Since early in its history the Observatory has operated and maintained equipment for research, testing and environmental monitoring purposes at its facility on the summit and since the late 1990s at a site in Bartlett, N.H. Since the mid-2000s, the Observatory has been developing and deploying a wide network of remote sites that monitor environmental data. This new "Mesonet" includes a vertical transect of the atmosphere at 1,000-foot intervals along the Mt. Washington Auto Road and an assortment of high elevation sites at ski area summits, Appalachian Mountain Club huts and other facilities.
In partnership with Plymouth State University (PSU), undergraduate and graduate students learn through original research projects coordinated by jointly-appointed Mount Washington Observatory (MWO) Lead Research Scientist and PSU Research Assistant Professor Dr. Eric Kelsey.
FALL 2013 STUDENT RESEARCH
MWO Lead Research Scientist Dr. Eric Kelsey teamed with University of Bergen, Norway Research Professor Dr. Michel Mesquita to teach PSU meteorology graduate students how to use a high-resolution numerical weather forecasting model in Kelsey's fall 2013 Boundary Layer Meteorology course. Dr. Mesquita joined the class regularly through online video conferencing to help educate students about numerical weather prediction and advise them on the modeling portion of their term project.
Students learned how to use the Weather Research and Forecasting (WRF) model by completing an online tutorial about the WRF model that was developed by Dr. Mesquita and modified by Kelsey for the course. After completion of the online tutorial, the students worked as a team on their term project, which required the students to: 1) chose a boundary layer phenomenon (e.g., nocturnal inversion), 2) develop and execute a field campaign to measure this boundary layer phenomenon using PSU and MWO instrumentation, 3) analyze the data, 4) use the WRF to simulate the boundary layer phenomenon, and 5) quantify the WRF model forecast skill of the boundary layer phenomenon. The students chose the atmospheric structure of nocturnal boundary layers in Pinkham Notch, NH, on clear and calm nights as their boundary layer phenomenon to study.
The students began their project by carefully detailing these tasks in a NOAA-style proposal, and concluded their project by summarizing their results in an AMS-style paper, which will be submitted to a peer-reviewed American Meteorological Society journal. The students also presented their results to the public at the end of the fall semester in December.
By the completion of the project, students had gained valuable experience in nearly all aspects of scientific research: writing a scientific proposal, executing a field campaign to observe weather with scientific instruments, running a numerical weather model, analyzing observational and model data, presenting scientific results, and writing a journal-style article.
Results from this project will help identify strengths and weaknesses in the WRF model that can be used to improve the WRF model forecast skill.
Mount Washington Observatory offers a competitive internship program to engage students and recent graduates in hands-on research and learning at our mountaintop weather station. Interns conduct original research projects while living and working alongside Observatory scientists, learning basic weather observation and recording procedures and assisting staff in operational tasks.
The goal of intern research is to discover something new that will advance understanding of the weather and climate of the White Mountains and/or develop a new forecasting tool for Observatory scientists. Interns have access to Mount Washington Observatory’s climate record and Mesonet data, and the mountain itself offers a truly unique learning environment. From rare flora and fauna in the high elevations, to human impacts on the health of the hardwood forests, students have limitless opportunities to learn about how the atmosphere, biosphere, hydrosphere and anthroposphere shape the state of the White Mountains and beyond.
Current intern research projects are listed on the intern page.
Dr. Eric Kelsey, Lead Research Scientist