Search Results

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

  • Global Precipitation Measurement (GPM): Science and Applications x
  • 12th International Precipitation Conference (IPC12) x
  • Refine by Access: Content accessible to me x
Clear All
Stephen E. Lang and Wei-Kuo Tao

pairs of rain-normalized convective and stratiform diabatic heating profiles [i.e., Q 1 or the apparent heat source; Yanai et al. (1973) ], one pair for land and one for ocean, obtained from composites of both GCE model ( Tao and Simpson 1993 ) simulations and sounding budget calculations; a single additional pair was later added for shallow heating. Using surface rainfall rates and the proportion of stratiform rain, cloud heating profiles could then be retrieved remotely from satellite or other

Full access
Andrea Camplani, Daniele Casella, Paolo Sanò, and Giulia Panegrossi

available only over CONUS, all the results based on this dataset are valid at a regional scale. While all sun synchronous GMI orbits over CONUS have been considered, only ATMS ascending orbits (between 0600 and 1300 UTC), closest in time to the SNODAS reference time (0600 UTC), have been selected. The dataset has been built following the same procedures used for the development and validation datasets, obtaining a snow-cover occurrence index, a land fraction index (since SNODAS provides information only

Open access
Clément Guilloteau and Efi Foufoula-Georgiou

profiles associated with collocated GMI radiometric measurements. The first database contains only profiles over vegetated land surfaces, excluding, in particular, coastal areas and snow-covered areas. For this, we rely on the surface type classification used in the current operational implementation (V05) of the GPROF algorithm ( Aires et al. 2011 ). The vegetated surface classes account for 70% of all land surfaces at the latitudes covered by the GPM Core Observatory . The second database contains

Open access
Clement Guilloteau, Efi Foufoula-Georgiou, Pierre Kirstetter, Jackson Tan, and George J. Huffman

1. Introduction Satellite-derived quantitative precipitation estimation (QPE) products have been around for several decades and are now commonly used in climate studies ( Mehta and Yang 2008 ; Roca et al. 2014 ; Kerns and Chen 2020 ), hydrologic modeling and prediction ( Casse and Gosset 2015 ), and various other applications ( Kirschbaum et al. 2017 ), including vegetation monitoring ( Hilker et al. 2014 ; Suepa et al. 2016 ), landslide risk management ( Kirschbaum and Stanley 2018

Open access