Search Results

You are looking at 1 - 4 of 4 items for :

  • Regional effects x
  • IFloodS 2013: A Field Campaign to Support the NASA-JAXA Global Precipitation Measurement Mission x
  • User-accessible content x
Clear All
Young-Hee Ryu, James A. Smith, Mary Lynn Baeck, Luciana K. Cunha, Elie Bou-Zeid, and Witold Krajewski

during the 2013 period, and to complement these observational analyses with an examination of the potential effects of saturation properties in the lower atmosphere on heavy rainfall using a numerical model. Questions that motivate the study include the following: How do distributional properties of warm season rainfall over Iowa during heavy rainfall seasons differ from rainfall properties during other years? How does the regional distribution of heavy rainfall in the central United States vary with

Full access
Luciana K. Cunha, James A. Smith, Witold F. Krajewski, Mary Lynn Baeck, and Bong-Chul Seo

. 2014 ; Tapiador et al. 2012 ) field campaign site [for more details on the campaign, see Petersen and Krajewski (2013) ] because of its uniform land cover, relatively flat topography, absence of coastal effects, the high frequency of floods from May to June, and the availability of preexisting rainfall measurement instruments, including seven NEXRAD radars that collectively cover the state. The site also enables studies of floods across a wide range of spatial scales. During the campaign, several

Full access
Huan Wu, Robert F. Adler, Yudong Tian, Guojun Gu, and George J. Huffman

dataset produced by the Iowa Flood Center (IFC) over the IFloodS period is also used in this study. Table 1 provides a concise summary of these products, including their full names and original spatial and temporal resolutions for the versions used. To reduce the scale effects on the intercomparisons and to be consistent with the current GFMS, all precipitation inputs are prepared to feed the DRIVE model at ⅛° resolution and a 3-h time step, while all other DRIVE model inputs are kept the same for

Full access
Munir A. Nayak, Gabriele Villarini, and A. Allen Bradley

there is a strong relationship between these two quantities, though its nature is not linear but monotonic (the values of the Spearman correlation coefficients are generally larger than the Pearson correlation coefficients). The strength of the relationship decreases in the regions farther away from the AR major axis ( Figs. 9b,c ). Another research question we shed light on in this study involves the examination of the effects of AR duration on rainfall. We have three persistent ARs, two of which

Full access