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首页> 外文会议>Oceans Conference >The Application of Sea Level Pressure and Vorticity Fields derived from the University of Washington Planetary Boundary Layer Model in the NOAA Ocean Prediction Center
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The Application of Sea Level Pressure and Vorticity Fields derived from the University of Washington Planetary Boundary Layer Model in the NOAA Ocean Prediction Center

机译：海平面压力和涡旋场源于华盛顿行星边界层模型中NOAA海洋预测中心的应用

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The SeaWinds scatterometer onboard the NASA QuikSCAT satellite has been providing forecasters in the Ocean Prediction Center (OPC) with Near-Real Time (NRT) ocean vector winds over large ocean areas since 1999. The OPC forecasters routinely use QuikSCAT winds in their analysis and forecast process to position frontal features, centers of high and low pressure and to determine the category and location of short term wind warning areas. QuikSCAT has also given forecasters the ability to detect hurricane force conditions within extratropical cyclones. Since QuikSCAT has been fully integrated in to OPC operations, OPC forecasters' assessment of the surface wind field over the open oceans is more accurate than ever before. As part of the warning and forecast process, OPC forecasters prepare a manual sea level pressure (SIP) analysis four times daily for both the North Atlantic and North Pacific. These OPC SLP analyses are disseminated directly to ships at sea and are heavily relied upon by the marine community for safe and economic operations. These analyses are also a key element in the forecast process as accurate initial conditions are essential to the production of precise forecasts. Although QuikSCAT's impact on the analysis and forecast process has been significant to the short-term wind warning process, this positive impact has not carried over to the analysis of the sea level pressure field over the open oceans. In an effort to improve their SLP analyses, OPC began to run the University of Washington Planetary Boundary Layer (UWPBL) model to derive SLP, surface vorticity and surface wind speed fields using the NRT QuikSCAT winds from NOAA/NESDIS as input. The UWPBL model derived SLP, surface vorticity and surface wind speed fields were made available to OPC forecasters within their N-AWIPS workstations so that they could overlay these products with other observational fields and model guidance. The SLP fields from the UWPBL model were examined daily over a three-month period. The model was found to produce dynamically consistent SLP fields the majority of the time. A comparison of the SLP fields derived from the UWPBL model with the OPC manual surface analyses and the Global Forecast System Model (GFS) surface pressure fields revealed that in most cases the central pressure of the cyclones were not analyzed to be deep enough by either the OPC manual analyses or the GFS model output. There were occasional instances, however where the UPWBL model produced central pressures that were unrealistically low and/or high. This problem was determined to be related to stratification issues and to the method of assimilation of available ship and buoy observations into the model to seed the pressure gradient field. This paper will present several case studies illustrating the application of UWPBL derived sea level pressure and vorticity by OPC forecasters. Comparisons of OPC manual analyses, numerical model analyses and the UWPBL fields will be shown. The UWPBL model using QuikSCAT winds as input provides very high quality sea level pressure fields associated with intense ocean storms. In particular, the retrieved sea level pressures contain strong pressure gradients in areas of very high winds. This strength of the pressure retrieval system has made it very useful to OPC forecasters in daily operations and as a training tool.
机译：海南散射仪船上的NASA Quikscat卫星在自1999年以来，NASA Quikscat卫星在海洋预测中心（OPC）提供了预测中心（OPC）的预测员，近乎实时（NRT）海洋矢量风。OPC预测者在分析和预测中经常使用Quikscat风流程定位正面特征，高压和低压的中心，确定短期风向警告区域的类别和位置。 Quikscat还给予预报员能够检测潜水旋风内的飓风势病。由于QuikScat已完全融入OPC运营，因此OPC预测人员在开放海洋上的表面风场评估比以往任何时候都更准确。作为警告和预测过程的一部分，OPC预测员每天为北大西洋和北太平洋每天每天进行4次手动海平面压力（SIP）分析。这些OPC SLP分析直接传播到海上的船只，由海洋社区严重依赖，以获得安全和经济的运营。这些分析也是预测过程中的一个关键因素，因为准确的初始条件对于生产精确预测至关重要。虽然Quikscat对分析和预测过程的影响对于短期风警告过程具有重要意义，但这种积极的影响尚未对海洋水平压力场的分析进行了分析。努力改善他们的SLP分析，OPC开始运营华盛顿州行星大学边界层（UWPBL）模型，以使用NOAA / NESDIS的NRT Quikscat风作为输入来导出SLP，表面涡度和表面风速场。 UWPBL模型衍生的SLP，表面涡度和表面风速场在其N-WIPS工作站内提供给OPC预测，以便他们可以将这些产品与其他观察领域和模型引导叠加。来自UWPBL模型的SLP字段每天在为期三个月内检查。发现该模型产生了大多数时间的动态一致的SLP字段。与OPC手动表面分析的UWPBL模型导出的SLP字段的比较显示，全局预测系统模型（GFS）表面压力场​​显示在大多数情况下，在大多数情况下，旋风分离器的中心压力不会被分析到足够深OPC手动分析或GFS模型输出。然而，有偶尔的情况，upwbl模型产生了不切实际地低和/或高的中央压力。该问题被确定与分层问题有关，并将可用船舶和浮标观测的分化方法与用于播种压力梯度场的模型。本文将提出几种案例研究，说明了OPC预测仪的UWPBL衍生海平面压力和涡度的应用。将显示OPC手动分析，数值模型分析和UWPBL字段的比较。使用Quikscat风的UWPBL模型作为输入提供了与强烈海洋风暴相关的非常高质量的海平面压力场。特别是，检索到的海平压力在非常高风中含有强大的压力梯度。压力检索系统的这种强度使其在日常运营中的OPC预测和作为培训工具非常有用。

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