...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of hydrometeorology >REFAME: Rain Estimation Using Forward-Adjusted Advection of Microwave Estimates
【24h】

REFAME: Rain Estimation Using Forward-Adjusted Advection of Microwave Estimates

机译：REFAME：使用微波估计值的前向平流对流进行雨量估计

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A new multiplatform multisensor satellite rainfall estimation technique is proposed in which sequences of Geostationary Earth Orbit infrared (GEO-IR) images are used to advect microwave (MW)-derived precipitation estimates along cloud motion streamlines and to further adjust the rainfall rates using local cloud classification. The main objective of the Rain Estimation using Forward-Adjusted advection of Microwave Estimates (REFAME) is to investigate whether inclusion of GEO-IR information can help to improve the advected MW precipitation rate as it gets farther in time from the previous MW overpass. The technique comprises three steps. The first step incorporates a 2D cloud tracking algorithm to capture cloud motion streamlines through successive IR images. The second step classifies cloudy pixels to a number of predefined clusters using brightness temperature (Tb) gradients between successive IR images along the cloud motion streamlines in combination with IR cloud-top brightness temperatures and textural features. A mean precipitation rate for each cluster is calculated using available MW-derived precipitation estimates. In the third step, the mean cluster precipitation rates are used to adjust MW precipitation intensities advected between available MW overpasses along cloud motion streamlines. REFAME is a flexible technique, potentially capable of incorporating diverse precipitation-relevant information, such as multispectral data. Evaluated over a range of spatial and temporal scales over the conterminous United States, the performance of the full REFAME algorithm compared favorably with products incorporating either no cloud tracking or no intensity adjustment. The observed improvements in root-mean-square error and especially in correlation coefficient between REFAME outputs and ground radar observations demonstrate that the new approach is effective in reducing the uncertainties and capturing the variation of precipitation intensity along cloud advection streamlines between MW sensor overpasses. An extended REFAME algorithm combines the adjusted advected MW rainfall rates with infrared-derived precipitation rates in an attempt to capture precipitation events initiating and decaying during the interval between two consecutive MW overpasses. Evaluation statistics indicate that the extended algorithm is effective to capture the life cycle of the convective precipitation, particularly for the interval between microwave overpasses in which precipitation starts or ends.
机译：提出了一种新的多平台多传感器卫星降雨估算技术，该技术利用地球静止轨道红外（GEO-IR）图像序列沿云运动流线对微波（MW）产生的降水估算进行平移，并进一步利用局部云调整降雨率分类。使用前向调整微波对流平流（REFAME）进行雨量估算的主要目的是调查是否包含GEO-IR信息可以帮助改善对流兆瓦降水率，因为它与上一个兆瓦高架桥之间的距离越来越远。该技术包括三个步骤。第一步合并了2D云跟踪算法，以通过连续的IR图像捕获云运动流线。第二步使用沿云运动流线的连续IR图像之间的亮度温度（Tb）梯度，结合IR云顶亮度温度和纹理特征，将浑浊像素分类为多个预定义的群集。使用可用的MW得出的降水量估算值计算每个群集的平均降水量。在第三步中，平均团簇降水率用于调整沿云运动流线在可用兆瓦过桥之间平移的兆瓦降水强度。 REFAME是一种灵活的技术，有可能整合各种与降雨有关的信息，例如多光谱数据。在整个美国范围内的一系列时空尺度上进行评估，与没有云追踪或没有强度调节功能的产品相比，完整REFAME算法的性能优越。观测到的均方根误差的改善，特别是REFAME输出与地面雷达观测值之间的相关系数的改善表明，该新方法可有效减少不确定性，并捕获沿着MW传感器立交桥之间的云对流线的降水强度变化。扩展的REFAME算法将调整后的平流兆瓦降雨率与红外派生的降水率结合起来，以试图捕获在两个连续兆瓦天桥之间的间隔期间引发和衰减的降水事件。评估统计数据表明，扩展算法可有效捕获对流降水的生命周期，特别是对于微波天桥之间降水开始或结束的间隔。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号