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Technical Program

Paper Detail

Paper:TH-A1.6
Session:Applications of Radiometry I
Time:Thursday, March 29, 09:00 - 10:20
Presentation: Poster
Topic: Theory, physical principles and electromagnetic models:
Title: NOAA Microwave Integrated Retrieval System (MiRS) Cloud Liquid Water Retrieval and Assessment
Authors: Shuyan Liu; CIRA, Colorado State University 
 Christopher Grassotti; University of Maryland-College Park 
 Quanhua (Mark) Liu; Center for Satellite Applications and Research, NOAA 
Abstract: The NOAA Microwave Integrated Retrieval System (MiRS) system has been implemented operationally at the U.S. National Oceanic and Atmospheric Administration (NOAA) since 2007 and has been generating many environmental data records (i.e. satellite products) for NOAA-18, NOAA-19, ATMS, Metop-B, SSMIS, AMSR-2, and GMI. The satellite products are atmospheric profiles of temperature and water vapor, cloud liquid water, ice water content, rainfall rate, snow cover and snow water equivalent, snow fall rate, surface temperature and microwave emissivity, and sea ice concentration. In this presentation, we will focus on cloud liquid water (CLW) evaluation retrieved from the Advanced Technology Microwave Sounder (ATMS) onboard Suomi National Polar-orbiting Partnership (SNPP). The CLW product is assessed by ground based in-situ observations of The Atmospheric Radiation Measurement (ARM) at Eastern North Atlantic (ENA) site at Graciosa Island, Azores, Portugal. The ARM ENA instrument is three channel microwave radiometer (MWR3C) with the frequency of 23, 30, 89 GHz. MiRS ATMS footprint is first collocated with the site location, then the time of geo-collocated Field-Of-View (FOV) is matched with the ENA observation time with a threshold of one hour. Since temporal resolution of MWR3C is 11 seconds, all the non-raining data fall within the time window is averaged up to get final value. The collocated data were restricted to clear sky (no rainy) conditions. The time period for the evaluation is March 1, 2014 to the present. We analyzed the results for different season. Performance of MiRS CLW retrieval varies with season according to the comparison with ARM ground based measurements. We will have more results by the time of the meeting.