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Wolverine Climate Change Snow Refugia Study
1. Snow Refugia Modeling (CU) a.
Perform fine scale (approx.
250 meter)hyrologic modeling using the Distributed Hydrology Soil Vegetation Model (DHSVM) for two subâ¿regions of appproximately 1000 km2, or for similar areal coverage distributed within the core region of interest
for wolverine habitat.
Choices of specific subâ¿regions will be done in consultation with Dr. Steve Torbit of FWS.
The following simulations are proposed:
i.Historic (observed) simulation with for the period 2000â¿2015 ii.
Baseline Simulation (may be identical to (i) if â¿¿deltaâ¿ method is used).
iii.
Future simulations for midâ¿21st century (nominally 2014â¿2070) for high and low rates of climate change.
Additional simulation for medium rate of change if time and resources permit.
b.
Evaluation of historic (observed) simulation results against MODIS(satellite remote sensed) snowcover, and if appropriate SNOTEL and streamgage measurements within the subâ¿regions that are modeled.
c.
Analysis of simulation outputs for the presence of absence of â¿¿snow refugiaâ¿ â¿â¿areas that preferentially retain snow under climate change d.
Provide digital maps of snow water equivalent and snow depth maps in digital form for critical periods of the year for wolverine habitat from the simulations.
2. Historic snowpack variability analysis (PSD) a.
Analyze historic variability in snow cover from satellite remote sensing (MODIS snow cover product), including Identification of areas on the current landscape where Springtime snow cover is resilient during high and low precipitation years, and warm and cold years.
This analysis will be done based on data availability for the period 2001â¿201 5. b.
Provide digital gridded data of snow cover including percent of years in which snow is retained, and any potential analog years for climate change if found.
3. Other Tasks (CU; PSD) a.
Consultation with FWS on interpretation of model output, data access, and potential further analysis of model output throughout the project, including potential travel to meetings.
b.
Writing draft and Final reports for FWS and manuscript for submission for publication c.
Data storage (i.e.
computer hardware to store big datasets (CU) 4. Deliverables (CU) a.
Draft Report summarizing preliminary results from DHSVM modeling detailed in (1)for one subâ¿region (midâ¿December 2016) b.
Digital gridded data of snowpack for one subâ¿region (midâ¿December 2016) c.
Additional Digital gridded data detailed in (1) above (January 2017) d.
Final Report chapters of DHSVM modeling (1) above.
(end of project) 5. Deliverables (PSD) a.
Draft Report summarizing preliminary results from historic snowpack variability analysis (midâ¿December 2016).
b.
Digital gridded data detailed in (2) for first region of interest (crown of continent).
(midâ¿December 2016) c.
Additional digital gridded data for Colorado Region (January 2017) d.
Final Report chapters on (2) and synthesis of results.
(end of project)
Perform fine scale (approx.
250 meter)hyrologic modeling using the Distributed Hydrology Soil Vegetation Model (DHSVM) for two subâ¿regions of appproximately 1000 km2, or for similar areal coverage distributed within the core region of interest
for wolverine habitat.
Choices of specific subâ¿regions will be done in consultation with Dr. Steve Torbit of FWS.
The following simulations are proposed:
i.Historic (observed) simulation with for the period 2000â¿2015 ii.
Baseline Simulation (may be identical to (i) if â¿¿deltaâ¿ method is used).
iii.
Future simulations for midâ¿21st century (nominally 2014â¿2070) for high and low rates of climate change.
Additional simulation for medium rate of change if time and resources permit.
b.
Evaluation of historic (observed) simulation results against MODIS(satellite remote sensed) snowcover, and if appropriate SNOTEL and streamgage measurements within the subâ¿regions that are modeled.
c.
Analysis of simulation outputs for the presence of absence of â¿¿snow refugiaâ¿ â¿â¿areas that preferentially retain snow under climate change d.
Provide digital maps of snow water equivalent and snow depth maps in digital form for critical periods of the year for wolverine habitat from the simulations.
2. Historic snowpack variability analysis (PSD) a.
Analyze historic variability in snow cover from satellite remote sensing (MODIS snow cover product), including Identification of areas on the current landscape where Springtime snow cover is resilient during high and low precipitation years, and warm and cold years.
This analysis will be done based on data availability for the period 2001â¿201 5. b.
Provide digital gridded data of snow cover including percent of years in which snow is retained, and any potential analog years for climate change if found.
3. Other Tasks (CU; PSD) a.
Consultation with FWS on interpretation of model output, data access, and potential further analysis of model output throughout the project, including potential travel to meetings.
b.
Writing draft and Final reports for FWS and manuscript for submission for publication c.
Data storage (i.e.
computer hardware to store big datasets (CU) 4. Deliverables (CU) a.
Draft Report summarizing preliminary results from DHSVM modeling detailed in (1)for one subâ¿region (midâ¿December 2016) b.
Digital gridded data of snowpack for one subâ¿region (midâ¿December 2016) c.
Additional Digital gridded data detailed in (1) above (January 2017) d.
Final Report chapters of DHSVM modeling (1) above.
(end of project) 5. Deliverables (PSD) a.
Draft Report summarizing preliminary results from historic snowpack variability analysis (midâ¿December 2016).
b.
Digital gridded data detailed in (2) for first region of interest (crown of continent).
(midâ¿December 2016) c.
Additional digital gridded data for Colorado Region (January 2017) d.
Final Report chapters on (2) and synthesis of results.
(end of project)
Who's Eligible
Obtain Full Opportunity Text:
None
Additional Information of Eligibility:
This is a Notice of Intent to award a Single Source Cooperative Agreement to the Regents of the University of Colorado iaw DOI Policy 505 DM2.14 (4) Unique Qualifications.
Full Opportunity Web Address:
Contact:
Project Officer Greg Watson 303 236-8155greg_watson@fws.gov
Agency Email Description:
USFWS PO
Agency Email:
greg_watson@fws.gov
Date Posted:
2016-09-06
Application Due Date:
2016-09-12
Archive Date:
2016-10-06
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