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Hurricane Surface Wind Measurements from an Operational Stepped Frequency Microwave Radiometer

机译:使用工作频率步进微波辐射计测量飓风的表面风

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For the first time, the NOAA/Aircraft Operations Center (AOC) flew stepped frequency microwave radiometers (SFMRs) on both WP-3D research aircraft for operational hurricane surface wind speed measurement in 2005. An unprecedented number of major hurricanes provided ample data to evaluate both instrument performance and surface wind speed retrieval quality up to 70 m s~(-1) (Saffir-Simpson category 5). To this end, a new microwave emissivity-wind speed model function based on estimates of near-surface winds in hurricanes by global positioning system (GPS) dropwindsondes is proposed. For practical purposes, utilizing this function removes a previously documented high bias in moderate SFMR-measured wind speeds (10-50 m s~(-1)), and additionally corrects an extreme wind speed (> 60 m s~(-1)) underestimate. The AOC operational SFMRs yield retrievals that are precise to within ~2% at 30 m s~(-1), which is a factor of 2 improvement over the NOAA Hurricane Research Division's SFMR, and comparable to the precision found here for GPS dropwindsonde near-surface wind speeds. A small (1.6 m s~(-1)), but statistically significant, overall high bias was found for independent SFMR measurements utilizing emissivity data not used for model function development. Across the range of measured wind speeds (10-70 m s~(-1)), SFMR 10-s averaged wind speeds are within 4 m s~(-1) (rms) of the dropwindsonde near-surface estimate, or 5%-25% depending on speed. However, an analysis of eyewall peak wind speeds indicates an overall 2.6 m s~(-1) GPS low bias relative to the peak SFMR estimate on the same flight leg, suggesting a real increase in the maximum wind speed estimate due to SFMR's high-density sampling. Through a series of statistical tests, the SFMR is shown to reduce the overall bias in the peak surface wind speed estimate by ~50% over the current flight-level wind reduction method and is comparable at extreme wind speeds. The updated model function is demonstrated to behave differently below and above the hurricane wind speed threshold (~32 m s~(-1)), which may have implications for air-sea momentum and kinetic energy exchange. The change in behavior is at least qualitatively consistent with recent laboratory and field results concerning the drag coefficient in high wind speed conditions, which show a fairly clear "leveling off" of the drag coefficient with increased wind speed above ~30 m s~(-1). Finally, a composite analysis of historical data indicates that the earth-relative SFMR peak wind speed is typically located in the hurricane's right-front quadrant, which is consistent with previous observational and theoretical studies of surface wind structure.
机译:2005年,美国国家航空航天局(NOAA)/飞机运营中心(AOC)首次在两架WP-3D研究飞机上飞行了步进频率微波辐射计(SFMR),用于测量飓风的表面风速。史无前例的主要飓风提供了充足的数据来评估仪器性能和地表风速检索质量均高达70 ms〜(-1)(Saffir-Simpson类别5)。为此,提出了一种新的微波发射率-风速模型函数,该函数基于全球定位系统(GPS)降温探空仪对飓风中近地表风的估计。出于实际目的,利用此功能可消除先前记录的中等SFMR测量风速(10-50 ms〜(-1))中的高偏差,并纠正低估的极端风速(> 60 ms〜(-1))。 。在30毫秒〜(-1)时,AOC运行的SFMR产生的精度精确到〜2%以内,这是NOAA飓风研究部的SFMR的2倍提高,与此处GPS探空探空仪的精度相当-地表风速。利用未用于模型函数开发的发射率数据,对于独立的SFMR测量,发现了一个很小的(1.6 m s〜(-1)),但在统计学上很显着,总体上有很高的偏差。在测得的风速范围(10-70 ms〜(-1))内,SFMR 10-s的平均风速在降温探空仪近地表估计值的4 ms〜(-1)(rms)以内,即5%- 25%取决于速度。但是,对眼墙峰值风速的分析表明,相对于同一飞行航段的SFMR峰值估计,总体GPS偏差为2.6 ms〜(-1),这表明由于SFMR的高密度,最大风速估计值确实增加了采样。通过一系列的统计测试,与当前的飞行级减风方法相比,SFMR可以将估计的地表风速峰值总体偏差降低约50%,并且在极端风速下具有可比性。结果表明,更新后的模型函数在飓风风速阈值(〜32 m s〜(-1))之上和之下具有不同的行为,这可能对海气动量和动能交换有影响。在高风速条件下,行为的变化至少在质量上与近期有关风阻系数的实验室和现场结果一致,当风速增加到〜30 ms〜(-1)时,风阻系数表现出相当明显的“平稳”。 )。最后,对历史数据的综合分析表明,相对于地球的SFMR峰值风速通常位于飓风的右前象限,这与以前对地表风结构的观察和理论研究一致。

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