Search Results

You are looking at 1 - 9 of 9 items for :

  • Boundary currents x
  • 12th International Precipitation Conference (IPC12) x
  • All content x
Clear All
Lisa Milani, Mark S. Kulie, Daniele Casella, Pierre E. Kirstetter, Giulia Panegrossi, Veljko Petkovic, Sarah E. Ringerud, Jean-François Rysman, Paolo Sanò, Nai-Yu Wang, Yalei You, and Gail Skofronick-Jackson

polarization difference and found that snowfall detection over land becomes problematic when TPW is below 3.6 mm. Further PMW studies dedicated specifically to shallow convective snow are currently lacking. This work therefore focuses on intense [defined by Notaro et al. (2013) and Liu and Moore (2004) as events with 24 h snow accumulation >10 cm] shallow convective snowfall event detection and quantification from PMW observations over the U.S. Great Lakes region. The availability of an operational

Restricted access
Sarah Ringerud, Christa Peters-Lidard, Joe Munchak, and Yalei You

, straight implementation of this in the algorithm requires more reliance on ancillary model data. Relying heavily on coarse model data decouples the algorithm from the observations and may potentially lead to problems near strong gradients, such as cold fronts, where the retrieval may be assuming conditions associated with different boundary layer and freezing level heights, with different scattering signal–rain rate relationships as a result. While the Bayesian technique is adopted for operational NASA

Restricted access
Abby Stevens, Rebecca Willett, Antonios Mamalakis, Efi Foufoula-Georgiou, Alejandro Tejedor, James T. Randerson, Padhraic Smyth, and Stephen Wright

1. Introduction Seasonal prediction of regional hydroclimate is typically based on deterministic physical models or statistical techniques, yet both approaches exhibit limited predictive ability ( Wang et al. 2009 ; National Academies of Sciences, Engineering, and Medicine 2016 ). Precipitation predictions based on deterministic physical models (regional climate models) exhibit high uncertainty due to imperfect physical conceptualizations, sensitivity to initial and boundary conditions, and

Open access
Giuseppe Mascaro

orographic control is more significant for larger time accumulations. Fig . 1. (a) Study area within the county boundaries in Arizona. (b) Percent occurrence of annual rainfall maxima, averaged across the 223 gauges, for different time accumulations τ in summer (July–September), winter (November–March), and other months. (c) Digital elevation model (derived from the U.S. Geological Survey National Elevation Dataset) of the study region in Maricopa, La Paz, Yavapai, and Pinal Counties along with

Restricted access
Alberto Ortolani, Francesca Caparrini, Samantha Melani, Luca Baldini, and Filippo Giannetti

1. Introduction Current methods to measure rainfall include a variety of solutions, with the rain gauge still being considered the reference method. Retrieving the rain fallen on an area is not easy, due to its temporal and spatial variability, but its importance is paramount for the impact on human lives and the environment. For instance, spatial and temporal variability of rainfall can result in large variations in streamflow, and this is particularly relevant in small catchments with short

Open access
Allison E. Goodwell

1. Introduction The focus of this paper is on the following question: When looking for rainfall which way is best: Should I look north, south, east or west? Or should I, say, look multiple ways to make a much better guess? In prose, we will explore the predictability of precipitation at one location, given information about past precipitation at one or more surrounding locations. At your current location, the knowledge of “Did it rain here yesterday?” is likely somewhat predictive of today

Restricted access
Zhe Li, Daniel B. Wright, Sara Q. Zhang, Dalia B. Kirschbaum, and Samantha H. Hartke

( Thompson et al. 2008 ) was used to provide microphysical simulation of clouds that are connected to satellite observation operators in radiance data assimilation, and Noah land surface model was used in atmospheric and land coupled simulation as well as within LIS spinup process. Boundary forcing came from the Global Forecast System ( Whitaker et al. 2008 ). Hourly accumulated rainfall fields (currently NU-WRF EDAS does not facilitate output temporal resolutions finer than hourly) are generated at 3-km

Restricted access
Stephen E. Lang and Wei-Kuo Tao

one model subdomain from rain). 1 One of the main goals of TRMM was to provide accurate estimates of LH over the global tropics ( Simpson et al. 1988 ). The CSH algorithm has been one of the TRMM standard algorithms and officially uses data from the combined radar–radiometer algorithm for its input (the same is true for GPM). Table 1 lists the input data, names, and types of products produced with the CSH algorithm for TRMM. The current version 7 (V7) TRMM heating products are based on the Tao

Full access
Nobuyuki Utsumi, F. Joseph Turk, Ziad S. Haddad, Pierre-Emmanuel Kirstetter, and Hyungjun Kim

in the Bayesian retrieval, which we call the “top-weighted profile,” are used as the estimated profile of the reflectivity. Fig . 5. Surface precipitation estimates for a frontal precipitation case on 14 Oct 2014, over the southeastern United States (GMI granule number 3556). Only the pixels with precipitation rate no less than 0.5 mm h −1 are shown. The parallel white solid lines show the boundaries of the GMI swath, and the white dashed line in between them is the location of the cross section

Open access