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  • IFloodS 2013: A Field Campaign to Support the NASA-JAXA Global Precipitation Measurement Mission x
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Di Wu, Christa Peters-Lidard, Wei-Kuo Tao, and Walter Petersen

circulation model (GCM) results show that the land initialization for June–August (JJA) seasonal rainfall is only useful for certain limited areas, while the impact of land initialization on seasonal temperature is much more extensive ( Koster et al. 2003 ). The Iowa Flood Studies (IFloodS) campaign was conducted in eastern Iowa as a pre-GPM-launch campaign from 1 May to 15 June 2013, with the goal of examining how well GPM and other blended products could be used for flood forecasting. The areas of focus

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Evan J. Coopersmith, Michael H. Cosh, Walt A. Petersen, John Prueger, and James J. Niemeier

; Liu et al. 2011 ). Other works compare soil moisture estimates from satellites to those generated by land surface models (e.g., Loew et al. 2013 ). Another use of high-resolution soil moisture estimates would be for satellite validation. NASA’s Soil Moisture Active Passive (SMAP) mission, launched on 31 January 2015, will produce soil moisture estimates at 3-, 9-, and 36-km scales. These estimates must be validated against in situ measurements, which are made via in situ watershed and sparse

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

of the NASA Tropical Rainfall Measuring Mission (TRMM) satellite in 1997, the TRMM Multisatellite Precipitation Analysis (TMPA; Huffman et al. 2007 ) has been one of the major satellite-based precipitation products with quasi-global (50°N–50°S) coverage and high spatial–temporal resolutions of 0.25° and 3 hourly, respectively. Recently, W2014 coupled a widely used land surface model, the Variable Infiltration Capacity model (VIC) ( Liang et al. 1994 , 1996 ), with a physically based runoff

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Andrea Thorstensen, Phu Nguyen, Kuolin Hsu, and Soroosh Sorooshian

). The heart of the model is the Sacramento Soil Moisture Accounting (SAC-SMA) with Heat Transfer Component (SAC-HT). In SAC-HT, unlike other distributed models with fixed values for subdomains or the entire domain, an advanced algorithm was designed to derive a priori parameters from soil and land-use data. Recent enhancements to the basic SAC-SMA model include the use of Noah LSM–based physics to estimate a physically meaningful soil moisture profile as well as evapotranspiration from the soil

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Phu Nguyen, Andrea Thorstensen, Soroosh Sorooshian, Kuolin Hsu, and Amir AghaKouchak

-SMA, unlike other distributed models with fixed values for subdomains or the entire domain, an advanced algorithm was designed to derive a priori parameters from soil and land use data. BreZo is a hydraulic model that solves the shallow-water equations using a Godunov-type finite volume method with an unstructured grid of triangular cells. A detailed description of the model can be seen in Begnudelli and Sanders (2006) . One of the primary advances of the model is that it was designed for working with an

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Felipe Quintero, Witold F. Krajewski, Ricardo Mantilla, Scott Small, and Bong-Chul Seo

context of worldwide applications of satellite data for flood prediction, it is also simply infeasible in many parts of the planet. Therefore, our efforts should go toward creating systems that are robust and that are based on information that is readily available everywhere, which mainly includes topography and land use with the associated understanding of the runoff-generating mechanism. The abovementioned discussion reveals the lack of a common framework from which to address the basin scale

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Young-Hee Ryu, James A. Smith, Mary Lynn Baeck, Luciana K. Cunha, Elie Bou-Zeid, and Witold Krajewski

rainfall fields for 1200 UTC observations. For rainfall analyses during 2013, therefore, the hourly stage IV rainfall at 1200 UTC is replaced with the Hydro-NEXRAD rainfall product ( Cunha et al. 2015 ) when it shows discontinuities. The Advanced Research version of the Weather Research and Forecasting (WRF) Model, version 3.5.1 (ARW; Skamarock et al. 2008 ), is used for hydrometeorological analyses of a heavy rainfall period on 26–27 May 2013, with a particular focus on potential impacts of land

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

1. Introduction Single-polarization (SP) radars have been used to estimate precipitation quantities for several decades (e.g., Wilson and Brandes 1979 ). During this period, the research community has extensively examined the limitations of these instruments and developed methods to improve quantitative precipitation estimation (QPE; see, e.g., Austin 1987 ; Smith et al. 1996 ; Pereira Fo. et al. 1998 ; Krajewski and Smith 2002 ; Villarini and Krajewski 2010 ; Kitzmiller et al. 2013

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Ibrahim Demir, Helen Conover, Witold F. Krajewski, Bong-Chul Seo, Radosław Goska, Yubin He, Michael F. McEniry, Sara J. Graves, and Walter Petersen

1. Introduction The Iowa Flood Studies (IFloodS) campaign collected massive amounts of precipitation and streamflow data to provide a robust reference for investigations of space-based products and their ability to drive hydrologic models used for flood prediction in real time. Of particular interest was the evaluation of the capacities of the international Global Precipitation Measurement (GPM) satellite mission ( Schwaller and Morris 2011 ; Hou et al. 2014 ; Tapiador et al. 2012 ) to

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