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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/amt-2016-154
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-2016-154
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  24 Jun 2016

24 Jun 2016

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This preprint was under review for the journal AMT. A revision for further review has not been submitted.

Development of the Community Active Sensor Module (CASM): Forward Simulation

B. T. Johnson1,2 and S. A. Boukabara2 B. T. Johnson and S. A. Boukabara
  • 1Atmospheric and Environmental Research Corporation, Lexington, MA, USA
  • 2National Oceanic and Atmospheric Administration (NOAA)

Abstract. Modern data assimilation frameworks require sophisticated physical and radiative models to guide assimilation and interpretation of satellite-based observations. To date, satellite-based infrared and passive microwave radiances, in various scenarios, are being assimilated operationally at multiple centers around the world (e.g., ECMWF, NOAA), however precipitating/cloudy radiances assimilation is still under development for most observation streams. Additionally, with the advent of space-based precipitation radars (e.g., TRMM, GPM, CloudSat), active microwave scatterometers (e.g., RapidScat), and radar altimeters (e.g., JASON), interest in directly assimilating satellite-based active microwave observations is increasing. This paper describes the development of the Community Active Sensor Module (CASM), which is designed to simulate active microwave sensor observations, consistent with current and future sensors. This paper presents the forward modeling component of CASM, providing a model description, key physical elements, and sensitivity to the various inputs and implicit / explicit assumptions. CASM is also evaluated against the the Global Precipitation Measurement Mission Dual-Frequency Precipitation Radar (GPM DPR) observations in both a targeted case study and a global, year-long analysis.

B. T. Johnson and S. A. Boukabara

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Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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  • RC1: 'Review', Anonymous Referee #1, 22 Jul 2016 Printer-friendly Version
  • RC2: 'Review', Anonymous Referee #2, 29 Jul 2016 Printer-friendly Version

Interactive discussion

Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
  • RC1: 'Review', Anonymous Referee #1, 22 Jul 2016 Printer-friendly Version
  • RC2: 'Review', Anonymous Referee #2, 29 Jul 2016 Printer-friendly Version

B. T. Johnson and S. A. Boukabara

B. T. Johnson and S. A. Boukabara

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Short summary
Modern weather forecasting requires up-to-date knowledge of the state of the atmosphere in order to adjust the forecasts towards the true state at each time step. Radar provides an accurate and fast method for mapping the 3-D structure and evolution of a storm. This paper describes a model for simulating satellite radar observations of precipitating clouds, and can be used in a weather prediction framework, enhancing the all-weather forecast by providing timely and accurate observations.
Modern weather forecasting requires up-to-date knowledge of the state of the atmosphere in order...
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