The assimilation of observations from a substantial and growing number of sensors deployed on environmental satellites requires rapid, accurate conversion of environmental field variables to the physical variables detected and quantified by the sensors. The Community-base Radiative Transfer Model (CRTM) provides this capability to the satellite data user community in support of a broad array of data assimilation systems and environmental models, as well as retrieval systems. This session solicits contributions on methods to improve the speed and accuracy of components of the CRTM, as well as additions to support assimilation of data from new or novel satellite sensors.

The mission of the Joint Center for Satellite Data Assimilation (JCSDA) is to accelerate and improve the impact of research and operational satellite data in numerical environmental analyses and prediction models. The growing number and variety of satellite platforms, sensors, and owners renders this mission to be of ever-increasing importance. For this session contributions are solicited reporting on the results of efforts to assimilate new or novel satellite sensor data into environmental prediction models.

Papers:

4:30 PM

8.1

The JCSDA Community Radiative Transfer Model (CRTM)

Benjamin T. Johnson, UCAR, COLLEGE PARK, MD; and C. Dang, Q. Liu, Y. Ma, and I. Moradi

4:45 PM

8.2

An AI Derived Forward Radiative Transfer Emulator for Global All-sky Conditions

XingMing Liang, NOAA, College Park, MD; and Q. Liu and C. Grassotti

5:00 PM

8.3

A Fast Machine Learning Emulator of the Community Radiative Transfer Model for Assimilation of Advanced Baseline Imager Observations

Lucas Howard, University of Colorado, Boulder, Boulder, CO; and A. C. Subramanian, G. Thompson, B. Johnson, and T. Auligne

5:15 PM

8.4

Comparison of Simulated Hurricane Dorian CRTM Microwave Brightness Temperatures with GMI Observations Using Different Bulk Microphysics Schemes and Single Particle Scattering Property Databases

Abhisek Das, The Pennsylvania State Univeristy, State College, PA; The Pennsylvania State Univ., University Park, PA; and Z. YAO, E. E. Clothiaux, Y. Zhang, PhD, and X. Chen

Manuscript (3.5 MB)

Handout (7.3 MB)

5:30 PM

8.5

Impact assessment of all-sky TROPICS microwave observations on the NASA GEOS analyses and forecasts and progress to use the data in the JEDI-GEOS analysis system

Min-Jeong Kim, NASA, Greenbelt, MD; and R. Gelaro, R. Todling, and S. A. Braun

5:45 PM

8.6

Analysis and Development of Relationships between ATMS Scattering Indices and VIIRS Cloud Product based Liquid/Ice Water Path

Aditya Kumar, CIMSS, Madison, WI; and J. A. Jung, A. Heidinger, E. Liu, A. Collard, I. Genkova, S. Nadiga, L. Soulliard, and Q. Zhao

Recorded Presentation

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