Search Results

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

  • Journal of Hydrometeorology x
  • 12th International Precipitation Conference (IPC12) x
  • Refine by Access: All Content x
Clear All
Andrea Camplani, Daniele Casella, Paolo Sanò, and Giulia Panegrossi

water within the snowpack strongly enhances the absorption at the expense of the volume scattering ( Rott and Nagler 1995 ; Amlien 2008 ). Hewison and English (1999) developed a model representing the microwave emissivity spectra of sea ice and snow cover obtained by airborne measurements. Different behaviors have been observed for different types of snowpacks, with an evident decrease of the emissivity with increasing frequency (within MW) for dry snow, and a high and stable emissivity for fresh

Open access
F. Joseph Turk, Sarah E. Ringerud, Yalei You, Andrea Camplani, Daniele Casella, Giulia Panegrossi, Paolo Sanò, Ardeshir Ebtehaj, Clement Guilloteau, Nobuyuki Utsumi, Catherine Prigent, and Christa Peters-Lidard

dynamics, rather than atmospheric-related reasons (i.e., enhanced emission from the cloud liquid water and/or water vapor). It is therefore necessary to be able to account for the frozen background surface conditions at the time of the overpass in the snowfall retrieval process, rather than relying on the use of climatological microwave emissivity datasets ( Prigent et al. 2008 ), often used in conjunction with daily products for snow cover extent (and sea ice concentration) (as in GPROF, see section

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

index, it is in the EPC database for analysis purposes, as a means to efficiently separate the results of this study by fixed surface types. The surface type information obtained from GPROF product provides 14 surface type classes (i.e., ocean, sea ice, five types of vegetation, four types of snow cover, standing water, land/ocean or water coast, and sea ice edge) based on self-similar emissivities derived from TELSEM ( Aires et al. 2011 ; Passive Microwave Algorithm Team Facility 2018 ). In the

Open access
Chandra Rupa Rajulapati, Simon Michael Papalexiou, Martyn P. Clark, Saman Razavi, Guoqiang Tang, and John W. Pomeroy

variables and monthly bias correction from gridded observations] making use of the ERA-Interim reanalysis data ( Weedon et al. 2014 ). The CPC combines precipitation from several in situ observation sources (from national and international agencies) and uses an optimal interpolation objective analysis technique ( Chen et al. 2008 ). CFSR by the National Centers for Environmental Prediction (NCEP) is a coupled atmospheric–ocean–land surface–sea ice reanalysis product ( Saha et al. 2014 ). Details such as

Restricted access