Gap Filling of Advanced Technology Microwave Sounder Data as Applied to Hurricane Warm Core Animations. Issue 12 (11th December 2020)

• Record Type: Journal Article
• Authors: Yan, Banghua; Liang, Ding; Porter, Warren; Huang, Jingfeng; Sun, Ninghai; Zhou, Lihang; Zhu, Tong; Goldberg, Mitch; Zhang, Da‐Lin; Liu, Quanhua
• Is Part Of: Earth and space science. Volume 7:Issue 12(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-12-11
• Subjects: gap filling -- ATMS -- hurricane warm core -- visualization -- three dimensions; Space sciences -- Periodicals; Geophysics -- Periodicals; 500.5
• DOI: 10.1029/2019EA000961
• Languages: English
• ISSNs: 2333-5084

Abstract

Abstract: As a microwave radiometer seeing through clouds, Advanced Technology Microwave Sounder (ATMS) observations play a critical role in visually monitoring hurricane warm core structures. However, the presence of orbit gaps within the ATMS observations at low latitudes regions, where hurricanes frequently develop, raises concerns in monitoring hurricanes' spatial variability. To resolve this issue, this study generates gap‐filled ATMS brightness temperature data by using the smoothing algorithm of Penalized Least Square Discrete Cosine Transform. The accuracies of the missing‐filled brightness temperatures for temperature sounding channels are approximately within 1 K. Furthermore, the gap‐filled brightness temperature data from channels 5–12 are utilized to establish a three‐dimensional Hurricane Warm Core Animation System (HWCAS) in near real time (NRT), which helps to visually observe realistic warm core structures of a hurricane system. The information of hurricane warm core over open oceans and coastal areas is derived using a combination of three new regression‐based atmospheric temperature retrieval algorithms, with the averaged error typically within ±1 K at the vertical levels a warm core could occur. Each animation consists of 97 two‐dimensional atmospheric temperature anomaly images at different cross‐sections through hurricane core regions. The retrieved maximum temperature anomalies show well the formation, intensification, weakening, reintensification, and dissipation stages of Hurricane Florence that are similar to those from the European Centre for Medium‐Range Weather Forecasts (ECMWF) analysis. They also show similar weakening and reintensifying stages to those of the maximum sustained winds by the best track data, albeit with some temporal lead/lag. With its strength in NRT hurricane monitoring, the HWCAS demonstrate its great potential in providing meteorologists with timely information of temperature anomaly fields in the inner‐core regions of a hurricane. Key Points: This study fills orbital gaps within ATMS Sensor Data Record (SDR) data to visually observe whole hurricane warm core structures This study establishes a 3‐D Hurricane Warm Core Animation System (HWCAS) from near real‐time ATMS observations Each 3‐D animation contains 97 2‐D atmospheric temperature anomaly images at different cross‐sections through hurricane core regions