Spatially Explicit Power Analyses for Occupancy-Based Monitoring of Wolverine in the U.S. Rocky Mountains

2013 ◽  
Vol 28 (1) ◽  
pp. 52-62 ◽  
Author(s):  
MARTHA M. ELLIS ◽  
JACOB S. IVAN ◽  
MICHAEL K. SCHWARTZ
Keyword(s):  
Rocky Mountains ◽  
Spatially Explicit ◽  
Power Analyses ◽  
The U.S

scholarly journals Trends in United States large hail environments and observations

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Brian H. Tang ◽  
Vittorio A. Gensini ◽  
Cameron R. Homeyer
Keyword(s):  
United States ◽  
Rocky Mountains ◽  
Wind Shear ◽  
Vertical Wind Shear ◽  
Environmental Parameters ◽  
Vertical Wind ◽  
Severe Thunderstorms ◽  
Lapse Rates ◽  
The U.S

AbstractUnderstanding trends in large hail-producing environments is an important component of estimating hail risk. Here, we use two environmental parameters, the Large Hail Parameter and the Significant Hail Parameter, to assess trends in days with environments conducive for hail ≥5 cm. From 1979 to 2017, there has been an increase in days with favorable large hail environments in central and eastern portions of the U.S. This increase has been driven primarily by an increasing frequency of days with steep mid-tropospheric lapse rates and necessary combinations of instability and vertical wind shear for severe thunderstorms. Annual large hail environment area is significantly, positively correlated with (1) large hail report area east of the Rocky Mountains, and (2) large hail radar-derived area in the Midwest and Northeast. This evidence suggests that there may be an environmental fingerprint on increasing large hail risk and expanding this risk eastward.

Modeling the effects of dispersal and patch size on predicted fisher (Pekania [Martes] pennanti) distribution in the U.S. Rocky Mountains

2014 ◽  
Vol 169 ◽  
pp. 89-98 ◽  
Author(s):  
Lucretia E. Olson ◽  
Joel D. Sauder ◽  
Nathan M. Albrecht ◽  
Ray S. Vinkey ◽  
Samuel A. Cushman ◽  
...  
Keyword(s):  
Rocky Mountains ◽  
Patch Size ◽  
Martes Pennanti ◽  
The U.S

Spatially-Explicit Life Cycle Assessment of Sun-to-Wheels Transportation Pathways in the U.S.

2013 ◽  
Vol 47 (2) ◽  
pp. 1170-1176 ◽  
Author(s):  
Roland Geyer ◽  
David Stoms ◽  
James Kallaos
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Spatially Explicit ◽  
The U.S

scholarly journals Temporal validation of an estimator for successful breeding pairs of wolves Canis lupus in the U.S. northern Rocky Mountains

2010 ◽  
Vol 16 (1) ◽  
pp. 101-106 ◽  
Author(s):  
Michael S. Mitchell ◽  
Justin A. Gude ◽  
David E. Ausband ◽  
Carolyn A. Sime ◽  
Edward E. Bangs ◽  
...  
Keyword(s):  
Canis Lupus ◽  
Rocky Mountains ◽  
Northern Rocky Mountains ◽  
Temporal Validation ◽  
The U.S

scholarly journals Spatiotemporal Characteristics and Large-Scale Environments of Mesoscale Convective Systems East of the Rocky Mountains

2019 ◽  
Vol 32 (21) ◽  
pp. 7303-7328 ◽  
Author(s):  
Zhe Feng ◽  
Robert A. Houze ◽  
L. Ruby Leung ◽  
Fengfei Song ◽  
Joseph C. Hardin ◽  
...  
Keyword(s):  
Great Plains ◽  
Rocky Mountains ◽  
Large Scale ◽  
Mesoscale Convective Systems ◽  
Rain Area ◽  
Stratiform Rain ◽  
Convective Systems ◽  
Mesoscale Convective ◽  
The U.S ◽  
Mcs Genesis

ABSTRACT The spatiotemporal variability and three-dimensional structures of mesoscale convective systems (MCSs) east of the U.S. Rocky Mountains and their large-scale environments are characterized across all seasons using 13 years of high-resolution radar and satellite observations. Long-lived and intense MCSs account for over 50% of warm season precipitation in the Great Plains and over 40% of cold season precipitation in the southeast. The Great Plains has the strongest MCS seasonal cycle peaking in May–June, whereas in the U.S. southeast MCSs occur year-round. Distinctly different large-scale environments across the seasons have significant impacts on the structure of MCSs. Spring and fall MCSs commonly initiate under strong baroclinic forcing and favorable thermodynamic environments. MCS genesis frequently occurs in the Great Plains near sunset, although convection is not always surface based. Spring MCSs feature both large and deep convection, with a large stratiform rain area and high volume of rainfall. In contrast, summer MCSs often initiate under weak baroclinic forcing, featuring a high pressure ridge with weak low-level convergence acting on the warm, humid air associated with the low-level jet. MCS genesis concentrates east of the Rocky Mountain Front Range and near the southeast coast in the afternoon. The strongest MCS diurnal cycle amplitude extends from the foothills of the Rocky Mountains to the Great Plains. Summer MCSs have the largest and deepest convective features, the smallest stratiform rain area, and the lowest rainfall volume. Last, winter MCSs are characterized by the strongest baroclinic forcing and the largest MCS precipitation features over the southeast. Implications of the findings for climate modeling are discussed.

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