Impacts of marine surface pressure observations from a spaceborne differential absorption radar investigated with an observing system simulation experiment

IF 1.9 4区 地球科学 Q2 ENGINEERING, OCEAN
N. Privé, M. McLinden, B. Lin, I. Moradi, M. Sienkiewicz, G. Heymsfield, W. McCarty
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引用次数: 1

Abstract

A new instrument has been proposed for measuring surface air pressure over the marine surface with a combined active/passive scanning multi-channel differential absorption radar (DAR) to provide an estimate of the total atmospheric column oxygen content. A demonstrator instrument, the Microwave Barometric Radar and Sounder (MBARS), has been funded by the National Aeronautics and Space Administration (NASA) for airborne test missions. Here, a proof-of-concept study to evaluate the potential impact of spaceborne surface pressure data on numerical weather prediction is performed using the Goddard Modeling and Assimilation Office global observing system simulation experiment (OSSE) framework. This OSSE framework employs the Goddard Earth Observing System model and the hybrid 4D ensemble variational Gridpoint Statistical Interpolation data assimilation system. Multiple flight and scanning configurations of potential spaceborne orbits are examined. Swath width and observation spacing for the surface pressure data are varied to explore a range of sampling strategies. For wider swaths, the addition of surface pressures reduces the root mean square surface pressure analysis error by as much as 20% over some ocean regions. The forecast sensitivity observation impact tool estimates impacts on the Pacific Ocean basin boundary layer 24-hour forecast temperatures for spaceborne surface pressures on par with rawinsondes and aircraft, and greater impacts than the current network of ships and buoys. The largest forecast impacts are found in the southern hemisphere extratropics.
用观测系统模拟实验研究了星载差分吸收雷达观测海洋表面压力的影响
提出了一种利用主/被动扫描多通道差分吸收雷达(DAR)测量海洋表面大气压力的新仪器,以估计大气总柱氧含量。一种演示仪器,微波气压雷达和测深仪(MBARS),已经由美国国家航空航天局(NASA)资助用于机载测试任务。本文利用戈达德模拟和同化办公室全球观测系统模拟实验(OSSE)框架进行了一项概念验证研究,以评估星载地表压力数据对数值天气预报的潜在影响。OSSE框架采用戈达德地球观测系统模式和混合四维系综变分网格点统计插值数据同化系统。对潜在星载轨道的多种飞行和扫描构型进行了研究。改变地表压力数据的条带宽度和观测间距,以探索一系列采样策略。对于更宽的区域,在某些海洋区域,表面压力的增加使表面压力分析的均方根误差减少了20%。预测灵敏度观测影响工具估计对太平洋盆地边界层24小时星载地表压力预报温度的影响与雷达探空仪和飞机相当,并且比目前的船舶和浮标网络的影响更大。预测影响最大的是南半球温带地区。
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来源期刊
CiteScore
4.50
自引率
9.10%
发文量
135
审稿时长
3 months
期刊介绍: The Journal of Atmospheric and Oceanic Technology (JTECH) publishes research describing instrumentation and methods used in atmospheric and oceanic research, including remote sensing instruments; measurements, validation, and data analysis techniques from satellites, aircraft, balloons, and surface-based platforms; in situ instruments, measurements, and methods for data acquisition, analysis, and interpretation and assimilation in numerical models; and information systems and algorithms.
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