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10/21/2015 4:19:21 PM
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10/21/2015 3:51:55 PM
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Reference Library
Title
STATE AND DIVISION ENGINEER'S FORUM ENGINEERING ASSUMPTIONS - ATTACHMENT: CROP COEFFICIENT MEMO
Author/Source
DEAN SANTISTEVAN, P.E.
DIVISION OF WATER RESOURCES
Keywords
CROP COEFFICIENT, CROP GROWTH
Document Type - Reference Library
Presentations
Document Date
4/15/2014
Year
2014
Team/Office
Division 1 Office
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MEMORANDUM <br />December 13, 2013 <br />Issues with Selecting an Appropriate Crop Growth Stage Coefficient for the SCS Mod. Blaney <br />Page 26 of 34 <br /> <br />Small Grain. The Task Memo 59.1 crop curve for <br />estimate consumptive use. Findings from our study of ARS 1275 suggest the same. The coefficients <br />from Task Memo 59.1 present an unusual shape <br />shaped. It is interesting to note that the data from ARS 1275 suggests that the peak of the SCS TR <br />curve should be wider and the top of the <br />explain the peak in the Task Memo 59.1 curve that occurs in May. The difference may have less to do <br />with temperatures during the shoulder months and more with the development of the SCS curve itself. <br /> <br />Figure 26 – Comparison of crop curves for small grain <br /> <br />Overall, a trend relative to calibrations during the shoulder months was observed. In our analysis, the <br />growing season for sugar beets & corn <br />& sorghum was modeled to being in June <br />the calibrated curves did not show the high spikes during the growing season. <br /> <br />On the other hand, pasture grass <br />shoulder months and, coincidentally <br />support the presumption that high daytime temperatures and low night temperatures <br />months result in the greatest difference <br />the ASCE equation. <br /> <br /> <br />0.0 <br />0.2 <br />0.4 <br />0.6 <br />0.8 <br />1.0 <br />1.2 <br />1.4 <br />1.6 <br />1.8 <br />0 20 <br />Cr <br />o <br />p <br /> <br />G <br />r <br />o <br />w <br />t <br />h <br /> <br />S <br />t <br />a <br />g <br />e <br /> <br />C <br />o <br />e <br />f <br />f <br />i <br />c <br />i <br />e <br />n <br />t <br />, <br /> <br />k <br />c <br />Issues with Selecting an Appropriate Crop Growth Stage Coefficient for the SCS Mod. Blaney-Criddle Eqn. <br />The Task Memo 59.1 crop curve for small grains suggests that SCS TR <br />estimate consumptive use. Findings from our study of ARS 1275 suggest the same. The coefficients <br />from Task Memo 59.1 present an unusual shape early in the season, although one that is somewhat bell <br />It is interesting to note that the data from ARS 1275 suggests that the peak of the SCS TR <br />curve should be wider and the top of the kc curve should be reached earlier in the season. This may <br />sk Memo 59.1 curve that occurs in May. The difference may have less to do <br />with temperatures during the shoulder months and more with the development of the SCS curve itself. <br />crop curves for small grain <br />relative to calibrations during the shoulder months was observed. In our analysis, the <br />& corn was modeled to begin in May while the growing season for <br />in June. These crops tended to not include the shoulder months and <br />the calibrated curves did not show the high spikes during the growing season. <br />asture grasses, alfalfa, and small grains were all modeled to <br />coincidentally, the curve is exaggerated curve during the spring and fall <br />h daytime temperatures and low night temperatures during the shoulder <br />result in the greatest difference of ET when calculated with the Blaney-Criddle and <br />40 60 80 <br />Percent of Growing Season <br />SCS TR-21, small grains <br />Task Memo 59.1 <br />Average of ARS 1275 <br />Criddle Eqn. <br />suggests that SCS TR-21 will under- <br />estimate consumptive use. Findings from our study of ARS 1275 suggest the same. The coefficients <br />one that is somewhat bell <br />It is interesting to note that the data from ARS 1275 suggests that the peak of the SCS TR-21 <br />curve should be reached earlier in the season. This may <br />sk Memo 59.1 curve that occurs in May. The difference may have less to do <br />with temperatures during the shoulder months and more with the development of the SCS curve itself. <br /> <br />relative to calibrations during the shoulder months was observed. In our analysis, the <br />the growing season for beans <br />include the shoulder months and <br />were all modeled to grow during the <br />the spring and fall. This could <br />during the shoulder <br />Criddle and compared to <br />100
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