Search Results

You are looking at 1 - 10 of 11 items for :

  • Microwave observations x
  • Precipitation Retrieval Algorithms for GPM x
  • User-accessible content x
Clear All
Veljko Petković, Marko Orescanin, Pierre Kirstetter, Christian Kummerow, and Ralph Ferraro

especially pronounced in satellite observations. Since the first spaceborne passive microwave instruments were launched in early 1970s, satellite precipitation retrievals have exploited the link between upwelling radiation and state of atmospheric column. Leveraging decades of ever-improving algorithms, coverage, and data latency, the Global Precipitation Measurement (GPM) mission ( Skofronick-Jackson et al. 2018 ; Hou et al. 2014 ) represents the most advance satellite precipitation project to date

Full access
Christian D. Kummerow, David L. Randel, Mark Kulie, Nai-Yu Wang, Ralph Ferraro, S. Joseph Munchak, and Veljko Petkovic

1. Introduction The Goddard profiling (GPROF) algorithm was first developed in the early 1990s to retrieve surface rainfall and its vertical structure from spaceborne passive microwave observations ( Kummerow and Giglio 1994 ). The impetus for that work came from the Tropical Rainfall Measuring Mission (TRMM) ( Simpson et al. 1988 ) that was seeking to quantify not only the surface rainfall but also the three-dimensional structure of latent heat release in the tropics. While the primary

Full access
Eun-Kyoung Seo, Sung-Dae Yang, Mircea Grecu, Geun-Hyeok Ryu, Guosheng Liu, Svetla Hristova-Veleva, Yoo-Jeong Noh, Ziad Haddad, and Jinho Shin

precipitation profiles only to those actually observed, that is, producing radar and radiometer observations similar to the actual observations as performed in previous studies. Although radar reflectivity and radiometer TBs are integral measurements, they are sensitive to detailed information on the vertical structure of clouds and precipitation. To take advantage of these observations, in this study we use physical models to simulate radar reflectivity and microwave TBs as a function of a small number of

Full access
F. Joseph Turk, Z. S. Haddad, and Y. You

1. Introduction The joint National Aeronautics and Space Administration (NASA) and Japanese Aerospace Exploration Agency (JAXA) Global Precipitation Measurement (GPM) mission is a constellation mission, whereby the observations and precipitation profile estimates from the GPM core satellite dual-frequency (Ku/Ka band) precipitation radar (DPR) and the 13-channel (10–183 GHz) passive microwave (MW) GPM Microwave Imager (GMI) serve as a reference for the other constellation radiometer

Full access
S. Joseph Munchak, Robert Meneghini, Mircea Grecu, and William S. Olson

) generally use the SRT PIA along with microwave radiances to constrain the precipitation profile (indeed, PIA can be the dominant constraint because of its high resolution relative to the passive microwave footprint, especially when the reliability factor is large). These algorithms also require knowledge of the surface emissivity in order to forward model the brightness temperatures (Tb) for comparison to observations. Since emission and reflection are related processes, it is logical for a combined

Full access
Mircea Grecu, William S. Olson, Stephen Joseph Munchak, Sarah Ringerud, Liang Liao, Ziad Haddad, Bartie L. Kelley, and Steven F. McLaughlin

uniformly calibrated rain algorithms for all radiometers in the GPM constellation ( Kummerow et al. 2011 ). The constellation of radiometers provides the temporal sampling necessary to achieve the mission objective. During the Tropical Rainfall Measuring Mission (TRMM) era, several algorithms for estimating precipitation from a combination of radar and microwave radiometer observations were developed. The TRMM observatory included a single-frequency (Ku band) cross-track scanning radar and a

Full access
Tomoaki Mega and Shoichi Shige

. E. , Janowiak J. E. , and Kidd C. , 2007 : Comparison of near-real-time precipitation estimates from satellite observations and numerical models . Bull. Amer. Meteor. Soc. , 88 , 47 – 64 , doi: 10.1175/BAMS-88-1-47 . Ferraro, R. R. , Smith E. A. , Berg W. , and Huffman G. J. , 1998 : A screening methodology for passive microwave precipitation retrieval algorithms . J. Atmos. Sci. , 55 , 1583 – 1600 , doi: 10.1175/1520-0469(1998)055<1583:ASMFPM>2.0.CO;2 . Gebremchael, M

Full access
Atsushi Hamada and Yukari N. Takayabu

improving rainfall retrieval algorithms based on spaceborne passive infrared/microwave measurements. Following the success of TRMM, the Global Precipitation Measurement (GPM) core observatory was launched successfully at the end of February 2014 and started its observations ( Hou et al. 2014 ). On board the GPM core observatory is a dual-frequency precipitation radar (DPR) that operates in the Ku (13.6 GHz) and Ka (35.5 GHz) bands, making observations between ~65°S and ~65°N from a non

Full access
Takuji Kubota, Shinta Seto, Masaki Satoh, Tomoe Nasuno, Toshio Iguchi, Takeshi Masaki, John M. Kwiatkowski, and Riko Oki

1. Introduction The Dual-Frequency Precipitation Radar (DPR) on board the Global Precipitation Measurement (GPM) Core Observatory was launched in February 2014 ( Hou et al. 2014 ; Skofronick-Jackson et al. 2017 ). The DPR expands the coverage of observations to include higher latitudes than those that are obtained by the Precipitation Radar (PR) on board the Tropical Rainfall Measuring Mission (TRMM) ( Kummerow et al. 1998 ; Kozu et al. 2001 ). In addition, the DPR measures precipitation

Open access
Minda Le, V. Chandrasekar, and Sounak Biswas

Core Observatory improves our knowledge of precipitation processes relative to the single-frequency (Ku band) radar used in TRMM. New Ka-band channel observation of the DPR helps improve the detection thresholds for light rain and snow relative to TRMM’s precipitation radar ( Hou et al. 2014 ). The Ku- and Ka-band reflectivity measurements are two independent observations offered by DPR on board the GPM. Measurements from both frequency bands suffer from attenuation when a radar beam propagates

Full access