A synoptic-scale climate analysis of anomalous snow water equivalent over the Northern Great Plains of the USA

2003 ◽  
Vol 23 (8) ◽  
pp. 871-886 ◽  
Author(s):  
Andrew Grundstein
2003 ◽  
Vol 39 (8) ◽  
Author(s):  
Thomas L. Mote ◽  
Andrew J. Grundstein ◽  
Daniel J. Leathers ◽  
David A. Robinson

2018 ◽  
Vol 32 (6) ◽  
pp. 817-829 ◽  
Author(s):  
Samuel E. Tuttle ◽  
Jennifer M. Jacobs ◽  
Carrie M. Vuyovich ◽  
Carrie Olheiser ◽  
Eunsang Cho

2002 ◽  
Vol 26 (3) ◽  
pp. 187-209 ◽  
Author(s):  
Andrew Grundstein ◽  
Thomas Mote ◽  
Daniel Leathers

Author(s):  
Andrew Hoell ◽  
Trent W. Ford ◽  
Molly Woloszyn ◽  
Jason A. Otkin ◽  
Jon Eischeid

AbstractCharacteristics and predictability of drought in the Midwestern United States, spanning the Great Plains to the Ohio Valley, at local and regional scales are examined during 1916-2015. Given vast differences in hydroclimatic variability across the Midwest, drought is evaluated in four regions identified using a hierarchical clustering algorithm applied to an integrated drought index based on soil moisture, snow water equivalent, and three-month runoff from land surface models forced by observed analyses. Highlighting the regions containing the Ohio Valley (OV) and Northern Great Plains (NGP), the OV demonstrates a preference for sub-annual droughts, the timing of which can lead to prevalent dry epochs, while the NGP demonstrates a preference for annual-to-multi-annual droughts. Regional drought variations are closely related to precipitation, resulting in a higher likelihood of drought onset or demise during wet seasons: March-November in the NGP and all year in the OV, with a preference for March-May and September-November. Due to the distinct dry season in the NGP, there is a higher likelihood of longer drought persistence, as the NGP is four times more likely to experience drought lasting at least one year compared to the OV. While drought variability in all regions and seasons are related to atmospheric wave trains spanning the Pacific-North American sector, longer-lead predictability is limited to the OV in December-February because it is the only region/season related to slow-varying sea surface temperatures consistent with El Niño-Southern Oscillation. The wave trains in all other regions appear to be generated in the atmosphere, highlighting the importance of internal atmospheric variability in shaping Midwestern drought.


1973 ◽  
Vol 53 (4) ◽  
pp. 773-777 ◽  
Author(s):  
D. H. HEINRICHS

Winter injury occurring at Swift Current, Saskatchewan, was recorded in 17 tests during the period 1962–72. Cultivars developed in the Northern Great Plains Region of the USA and in Canada were generally more winter-hardy than cultivars developed in other regions of North America or in Europe. Cultivars classified as Medicago media Pers. were more winter-hardy than those classified as Medicago sativa L. Very few USA cultivars were more winter-hardy than Vernal, but most Canadian cultivars were. In nonhardy cultivars winter injury never occurred during the first winter, but it often occurred in the second winter and frequently in the third winter. There was considerably more winter injury among alfalfa cultivars on irrigated land than on dry land. Based on results from these tests, 50 cultivars and strains have been classified for relative winterhardiness under climatic conditions in southern Saskatchewan, Canada.


2011 ◽  
Author(s):  
James Doolittle ◽  
Michael Ulmer ◽  
Eric Brevik ◽  
Jeanne Heilig ◽  
John Kempenich

2018 ◽  
Vol 98 (5) ◽  
pp. 1188-1198 ◽  
Author(s):  
Yesuf Assen Mohammed ◽  
Chengci Chen ◽  
Maninder Kaur Walia ◽  
Jessica A. Torrion ◽  
Kent McVay ◽  
...  

Dry pea (Pisum sativum L.) is an important crop in the Northern Great Plains of the USA and Canada. Information on dry pea quality as affected by cultivars and environments is limited. This experiment determined the effects of dry pea cultivars and environments on protein, starch, and ash concentrations. Six dry pea cultivars (‘Arcadia’, ‘Bridger’, ‘CDC Striker’, ‘Cruiser’, ‘Montech 4152’, and ‘SW Midas’) were evaluated in a randomized complete block design with four replications in 22 environments. The results showed that cultivar × environment interaction effects were highly significant on protein, starch, and ash concentration (p < 0.0001). These interaction means, calculated on a dry matter basis, ranged from 145 to 278 g kg−1 seed for protein, 439 to 617 g kg−1 seed for starch, and 10.5 to 31.9 g kg−1 seed for ash. The differences among environmental means were substantial compared with cultivar means. When averaged over environments, ‘CDC Striker’, ‘Arcadia’, and ‘Montech 4152’ produced greater mean protein, starch, and ash concentrations, respectively, than the other cultivars. None of these cultivars simultaneously outperformed the others for protein, starch, and ash concentrations. This may indicate the need to develop cultivars with outstanding qualities across environments to receive satisfy premium end-user quality requirements.


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