Remote Sensing of Cloud Ice Water Path from SAPHIR Microwave Sounder Onboard Megha- Tropiques

Piyush, Durgesh Nandan and Satapathy, J and Srinivasan, J (2019) Remote Sensing of Cloud Ice Water Path from SAPHIR Microwave Sounder Onboard Megha- Tropiques. In: ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 55 (2). pp. 135-144.

PDF Asi-Pac_Jou_Atm_Sci_55_2_135-144.pdf - Published Version Restricted to Registered users only Download (4MB) | Request a copy

Abstract

This study derives the ice water path of the atmospheric column from the microwave sounder SAPHIR onboard Megha-Tropiques. SAPHIR (Sondeur Atmospherique du Profil d'Humidite Intertropicale par Radiometrie) is a cross-track, multichannel microwave humidity sounder with six channels ranging from 183.3 +/- 0.2 to 183.3 +/- 11GHz near the 183.31GHz water vapor absorption line. It measures the earth emitted radiation at these six frequencies. In this paper, Concurrent and collocated observations of Channel 183.31 +/- 6.6GHz, and 183.3 +/- 11GHz from SAPHIR and IWP (Ice water Path) from CloudSat have been used in the development the algorithm. A total of five sets of neural network model, each for 10 degrees of incidence angle of SAPHIR have been developed. The model shows a correlation of 0.83 and RMSE of 195g/m(2) with an independent test dataset. The validation of the algorithm has been done by comparing the retrieval with various satellite derived IWP products such as CloudSat, GMI (Global precipitation measuring mission Microwave Imager) and MSPPS (Microwave Surface and Precipitation Products System). The instantaneous comparisons of IWP over a cyclonic storm ROANU demonstrate a good agreement between NN (Neural Network) derived IWP and CloudSat. A probability distribution of IWP indicates consistency between SAPHIR and CloudSat. A comparison of zonal mean between all the IWP products shows that SAPHIR performs better than GMI, and MSPPS.

Item Type:	Journal Article
Publication:	ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES
Publisher:	KOREAN METEOROLOGICAL SOC
Additional Information:	Copyright of this article belongs to KOREAN METEOROLOGICAL SOC
Keywords:	Megha-Tropiques; SAPHIR; Ice Water Path; Neural Network
Department/Centre:	Division of Mechanical Sciences > Centre for Atmospheric & Oceanic Sciences
Date Deposited:	24 May 2019 10:12
Last Modified:	24 May 2019 10:12
URI:	http://eprints.iisc.ac.in/id/eprint/62730

Actions (login required)

View Item