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Your search keyword '"Keim, R.F."' showing total 9 results
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9 results on '"Keim, R.F."'

2. Key questions on the evaporation and transport of intercepted precipitation

Author

Van Stan II, J.T., Gutmann, E., Friesen, J., Allen, S.T., Aubrey, D.P., Bader, M.Y., Coenders-Gerrits, M., Friesen, Jan, Gutmann, E.D., Guillemette, F., Jiménez-Rodríguez, C., Keim, R.F., Klamerus-Iwan, A., Mendieta-Leiva, G., Porada, P., Qualls, R.G., Schilperoort, B., Stubbins, A., Van Stan II, J.T., Gutmann, E., Friesen, J., Allen, S.T., Aubrey, D.P., Bader, M.Y., Coenders-Gerrits, M., Friesen, Jan, Gutmann, E.D., Guillemette, F., Jiménez-Rodríguez, C., Keim, R.F., Klamerus-Iwan, A., Mendieta-Leiva, G., Porada, P., Qualls, R.G., Schilperoort, B., and Stubbins, A.

Abstract

The interception of precipitation by vegetation has important consequences for climate and water resources. Although canopy interception has been studied for centuries, many fundamental unknowns remain. We present persistent questions that reflect challenges in measuring, representing, and understanding how terrestrial ecosystems intercept, partition, and transport precipitation—down to soils or back to the atmosphere. In summary of this book, we outline future needs and simultaneously provide a primer for those interested in precipitation interception processes.

Published
2020

6. Time scale and intensity dependency in multiplicative cascades for temporal rainfall disaggregation

Author

Rupp, D.E., Keim, R.F., Oissander, M., Brugnach, Marcela Fabiana, Selker, J.S., Water Management, and Faculty of Engineering Technology

Subjects
dependent, METIS-261933, disaggregation, rainfall, time scale, IR-86539, intensity, Multiplicative random cascade
Abstract

[1] Multiplicative random cascades (MRCs) can parsimoniously generate highly intermittent patterns similar to those in rainfall. The elemental MRC model parameter is the cascade weight, which determines how rainfall at one scale is partitioned at the next smallest scale in the cascade. While it is known that the probability density of these weights may vary with both time scale and rainfall intensity, nearly all previous studies have considered either time scale or intensity separately. We examined the simultaneous dependency of the weights on both factors and assessed the impacts of explicitly including these dependencies in the MRC model. On the basis of the observed relationships between cascade weights and time scale and intensity, four progressively more “dependent” models were constructed to disaggregate a long time series of daily rainfall to hourly intervals. We found that inclusion of the intensity dependency on the model parameters that generate dry intervals greatly improved performance. For the relatively small range of time scales over which the rainfall was disaggregated, varying model parameters with time scale resulted in minor improvement.

Published
2009

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