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John M. Peters, Christopher J. Nowotarski, and Gretchen L. Mullendore

”). Several characteristics of supercells noted by past literature, however, cast doubt on the idea that supercells are resistant to entrainment because of their rotation. The arguments in L86 and B88 were based on a theoretical analysis of Beltrami flow (i.e., flow characterized by purely streamwise vorticity); however, most supercell environments also contain substantial crosswise vorticity, which modifies updraft evolution from this ideal state ( Weisman and Rotunno 2000 ). Furthermore, air parcels

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M. Hoerling, J. Eischeid, A. Kumar, R. Leung, A. Mariotti, K. Mo, S. Schubert, and R. Seager

anomalies averaged over May–Aug 2012 for (a) precipitation, (b) surface air temperature, (c) 3-month accumulated runoff, and (d) soil moisture. Precipitation data were taken from the CPC unified precipitation analysis. Temperature data were taken from the surface temperature analysis from the University of Washington. The May–Aug mean and standard deviation were computed using the base period 1979–2011. The contour intervals are given by the color bar. The runoff index and soil moisture are shown as

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Eric F. Wood, Siegfried D. Schubert, Andrew W. Wood, Christa D. Peters-Lidard, Kingtse C. Mo, Annarita Mariotti, and Roger S. Pulwarty

sectors, and advanced information delivery platforms. The DTF, as part of the Modeling, Analysis, Prediction, and Projections (MAPP) program, involves scientists from academia, other agencies, and across NOAA (cpo.noaa.gov/MAPP/DTF). The DTF both leverages and contributes to drought research across the federal government as part of the U.S. Global Change Research Program and international research programs under the World Climate Research Programme. Initiatives such as the Drought Task Force will be

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Martha C. Anderson, Christopher Hain, Jason Otkin, Xiwu Zhan, Kingtse Mo, Mark Svoboda, Brian Wardlow, and Agustin Pimstein

can be computed over multiple intervals (typically ranging from 2 to 52 weeks) to monitor different time scales of drought. Here, we use SPI computed over 3- and 6-month intervals using the NLDAS-2 precipitation dataset ( Xia et al. 2012b ), generated from a temporal disaggregation of a gauge-only Climate Prediction Center (CPC) analysis of daily precipitation and including an orographic adjustment based on the climatology of the Parameter-Elevation Regressions on Independent Slopes Model (PRISM

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