Award Abstract # 1349990
CAREER: The Mesoscale Climate Dynamics of Rocky Mountain Snowpack Depletion

NSF Org: AGS
Division of Atmospheric and Geospace Sciences
Recipient: RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE
Initial Amendment Date: February 24, 2014
Latest Amendment Date: April 13, 2020
Award Number: 1349990
Award Instrument: Standard Grant
Program Manager: Eric DeWeaver
edeweave@nsf.gov
 (703)292-8527
AGS
 Division of Atmospheric and Geospace Sciences
GEO
 Directorate for Geosciences
Start Date: March 1, 2014
End Date: March 31, 2021 (Estimated)
Total Intended Award Amount: $570,640.00
Total Awarded Amount to Date: $621,956.00
Funds Obligated to Date: FY 2014 = $570,640.00
FY 2020 = $51,316.00
History of Investigator:
  • Justin Minder (Principal Investigator)
    jminder@albany.edu
Recipient Sponsored Research Office: SUNY at Albany
1400 WASHINGTON AVE
ALBANY
NY  US  12222-0100
(518)437-4974
Sponsor Congressional District: 20
Primary Place of Performance: SUNY at Albany
1400 Washington Avenue
Albany
NY  US  12222-0001
Primary Place of Performance
Congressional District:
20
Unique Entity Identifier (UEI): NHH3T1Z96H29
Parent UEI: NHH3T1Z96H29
NSF Program(s): Climate & Large-Scale Dynamics
Primary Program Source: 01001415DB NSF RESEARCH & RELATED ACTIVIT
01002021DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1045, OTHR
Program Element Code(s): 574000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050

ABSTRACT

The surface-albedo feedback (SAF) from mountain snow cover is one of the dominant influences on the regional-scale response to large-scale climate variability and change in the mid-latitudes. At global scales, detailed analyses have illuminated the controls on the SAF and sources of spread in SAF magnitude between global climate models (GCMs). While regional climate model (RCM) simulations over complex terrain suggest substantial regional effects of the SAF, no detailed quantitative analysis of the regional SAF has been undertaken. This project will quantify and diagnose the SAF in high-resolution RCM simulations over the Rocky Mountains (and later the continental United States) using the WRF model. They include 8-year reanalysis-forced control simulations and 8-year pseudo-global-warming (PGW) simulations, wherein reanalysis boundary conditions are perturbed by monthly mean changes predicted by a GCM under greenhouse
forcing. This framework allows for clean diagnosis of thermodynamic and mesoscale mechanisms of climate change in isolation from changes in large-scale circulations and storminess.

Analysis will include: (i) Quantification of the SAF and its contributions from various physical processes: The SAF will be separated from other forcings and feedbacks via linear feedback analysis and via RCM simulations with a suppressed SAF. The mechanisms controlling the strength of the SAF will be diagnosed including: the relative roles of snow cover and snow metamorphism changes, the atmosphere masking of surface albedo changes, and the role of atmospheric advection. (ii) Evaluation of simulated snow cover and albedo: RCM output will be evaluated against high-resolution remote sensing provided by the MODIS instrument (including the new MODSCAG snow product) to critically test the realism of the simulated SAF and identify sources of bias. (iii) Examination of the interactions between the SAF and regional-scale circulations: This will include a determination of the role of advection in balancing radiative perturbations and the role of radiative perturbations in altering thermally driven mesoscale circulations. (iv) Comparison with other mountain ranges, forcing scenarios, and model parameterizations: Analysis of additional simulations with different model configurations will be used to understand how geographic setting modulates the SAF. It will also be used to examine differences in the SAF between simulations with and without changes in large-scale circulations or dust-on-snow forcing.

Educational impacts at the graduate level will include mentoring and training of a student. At the undergraduate level, a course on the environmental science of mountainous regions will be enriched with RCM output from the project and field observations. At the high school level, annual classroom visits and weeklong summer camps on weather and climate for local students will be developed. These programs will serve urban districts with high populations of minorities underrepresented in the STEM fields. The camps will engage students through lectures, demonstrations, hands-on laboratory experiences, and an interactive field trip to a local mountaintop observatory. Students will be introduced to the university environment, career options, and a range of role models. This will serve to enable, excite, and recruit students for future study and employment in the atmospheric sciences specifically and STEM in general.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

Brendan Wallace; Justin R Minder "The impact of snow loss and soil moisture on convective precipitation over the Rocky Mountains under climate warming" Climate Dynamics , 2021 https://doi.org/10.1007/s00382-020-05622-7
Brendan Wallace; Justin R Minder "The impact of snow loss and soil moisture on convective precipitation over the Rocky Mountains under climate warming" Climate Dynamics , 2021 https://doi.org/10.1007/s00382-020-05622-7
Justin R. Minder,Theodore W. Letcher,S. Mckenzie Skiles "An evaluation of high-resolution regional climate model simulations of snow cover and albedo over the Rocky Mountains, with implications for the simulated snow-albedo feedback" Journal of Geophysical Research - Atmospheres , v.121 , 2016 , p.9069?9088 10.1002/2016JD024995
Letcher, T.W. and J.R. Minder "The Simulated Impact of the Snow Albedo Feedback on the Large-Scale Mountain?Plain Circulation East of the Colorado Rocky Mountains" J. Atmos. Sci. , v.75 , 2018 , p.755 https://doi.org/10.1175/JAS-D-17-0166.1
Minder, J.R., T.W. Letcher, and C. Liu "The Character and Causes of Elevation-Dependent Warming in High-Resolution Simulations of Rocky Mountain Climate Change" J. Climate , v.31 , 2018 , p.2093 https://doi.org/10.1175/JCLI-D-17-0321.1
Sara Lance, Jie Zhang, James J Schwab, Paul Casson, Richard E Brandt, David R Fitzjarrald, Margaret J Schwab, John Sicker, Cheng-Hsuan Lu, Sheng-Po Chen, Jeongran Yun, Jeffrey M Freedman, Bhupal Shrestha, Qilong Min, Mark Beauharnois, Brian Crandall, Ever "Overview of the CPOC Pilot Study at Whiteface Mountain, NY: Cloud Processing of Organics within Clouds" Bulletin of the American Meteorological Society , v.101 , 2020 https://doi.org/10.1175/BAMS-D-19-0022.1
Theodore W Letcher and Justin R Minder "Characterization of the Simulated Regional Snow Albedo Feedback Using a Regional Climate Model over Complex Terrain" Journal of Climate , v.28 , 2015 , p.7576 10.1175/JCLI-D-15-0166.1
TW Letcher, JR Minder "The simulated response of diurnal mountain winds to regionally enhanced warming caused by the snow albedo feedback" Journal of the Atmospheric Sciences , v.74 , 2017 , p.49 http://dx.doi.org/10.1175/JAS-D-16-0158.1

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The intellectual merit of this project stems from research to improve understanding of how reductions in mountain snow cover that occur as the climate warms lead to changes in other aspects of weather and climate. These effects largely result from the the snow-albedo feedback (SAF), a process whereby reduced snow cover causes the Earth’s surface to absorb more sunlight and enhance warming of the overlying atmosphere. The SAF and its effects were investigated by using high-resolution regional climate models (RCMs), computer simulations of the land surface and atmosphere of the Rocky Mountain region. These RCMs were used to simulate current and representative future simulations using grid spacings of a few kilometers, sufficient to resolve the important effects that terrain features have on snow cover, winds, and clouds.  Research methods involved analysis of existing RCM simulations, development of new RCM diagnostics, design and execution of novel RCM experiments, and comparison of RCM simulations to observational datasets, including satellite observations.

New approaches were developed and applied that allow for a quantification of how the SAF shapes patterns of warming in various RCM simulations. These revealed differences in SAF strength between different mountain regions, seasons, and RCM configurations. Results show that the SAF is the dominant process in shaping the pattern of mountain climate warming during the late winter and spring seasons over the Rocky Mountains, and other parts of the western US, including the variations in climate warming that occur with terrain elevation. The realism of RCM-simulated snow cover and the SAF were evaluated using satellite observations of snow cover and surface albedo. This approach was used to document how the choices in the representation of land surface processes, including snow-vegetation-sunlight interactions, modulate the strength and realism of the simulated SAF and affect RCM simulations of future climate. Through these approaches, satellite observations are being used to constrain and improve RCM simulations of future mountain climate conditions.  RCM simulations were also used to investigate how the SAF affects mountain wind patterns, including mountain-valley winds, mountain-plain circulations, and afternoon clouds and rainfall that develop over mountain peaks. Results show that locally enhanced warming from the SAF acts to strengthen these winds and enhance development of afternoon clouds and rainfall over the mountains in springtime. The results of the work have been documented in six scientific journal articles and numerous conference presentations.

The project also contributed a range of educational broader impacts. The project provided support for two graduate students to complete degrees and provided paid summer research experiences for two undergraduate students. All four of these students gained experience in conducting research, presenting at conferences, and writing theses and/or academic journal articles.

Over 70 educational outreach talks about weather and climate were given in local high school classrooms at urban school districts with high proportions of economically disadvantaged students and students from demographic groups that are underrepresented minorities (URMs) in science, technology, and math (STEM) fields. A new UAlbany Weather and Climate Camp  (UAWCcamp) was developed and operated. The UAWCcamp is a free one-week summer day camp for high school students that engages and inspires students to study STEM fields. The camp serves students from New York’s Capital District, specifically targeting students that are: from low-income backgrounds, potential first generation college students, or from URM groups. The UAWCcamp works to show campers that education and careers in science are options for each of them that are exciting, attainable, and rewarding. The UAWCcamp served a total of 48 students from grades 8-12, including many female and underrepresented minority students, during summers 2015-2018. Assessment surveys demonstrated that campers had positive learning outcomes and experiences. At least five camp alumni have since enrolled as undergraduate students at UAlbany, with three enrolled as Atmospheric Sciences majors.

A new undergraduate course titled “The Adirondack Environment,” an interdisciplinary survey of mountain environments with a focus on New York’s Adirondack Mountains as an example, was developed and taught during fall 2016, fall 2018, and spring 2021. Topics covered range from aspects of the natural environment to human-environment interactions. Specific topics vary, but typically include: regional geology and geomorphology, impacts of acid rain and air quality regulation, forestry and mining practices, ecosystem changes and management, environmental conservation of the Adirondack park, impacts of climate change. It served a total of 56 students and has been added as a regular course to departmental curriculum.

 

 

 

 

 


Last Modified: 07/30/2021
Modified by: Justin R Minder

Please report errors in award information by writing to: awardsearch@nsf.gov.

Print this page

Back to Top of page