precipitation clutter

简明释义

雨雪杂波

英英释义

例句

1.During heavy storms, precipitation clutter can obscure important weather patterns.

在强暴风雨期间，降水杂波可能会遮蔽重要的天气模式。

2.Detecting precipitation clutter is crucial for accurate storm tracking.

检测降水杂波对于准确的风暴追踪至关重要。

3.The software is designed to minimize precipitation clutter in radar images.

该软件旨在最小化雷达图像中的降水杂波。

4.Meteorologists often filter out precipitation clutter to improve the accuracy of their forecasts.

气象学家通常会过滤掉降水杂波以提高预测的准确性。

5.The radar system struggled to distinguish between actual rainfall and the surrounding precipitation clutter.

雷达系统难以区分实际降雨和周围的降水杂波。

作文

Weather forecasting is an essential aspect of our daily lives, influencing decisions related to travel, outdoor activities, and even agriculture. One of the critical components of accurate weather prediction is the ability to analyze various meteorological data, including radar images. However, meteorologists often face challenges when interpreting these images due to phenomena known as precipitation clutter (降水杂波). This term refers to the interference caused by non-meteorological echoes on radar systems, which can lead to misinterpretations of actual weather conditions.To understand precipitation clutter, we must first recognize how radar technology works in weather observation. Weather radars emit radio waves that bounce off precipitation particles in the atmosphere, allowing meteorologists to determine the location, intensity, and movement of rain, snow, or other forms of precipitation. However, radar signals can also be reflected by objects that are not related to weather, such as buildings, trees, and even birds. These unwanted echoes contribute to what we call precipitation clutter, making it difficult to discern genuine weather patterns from false signals.The presence of precipitation clutter can significantly impact the accuracy of weather forecasts. For instance, during heavy rainfall, the radar may pick up numerous signals from both the actual precipitation and the clutter, leading to an overestimation of rainfall intensity. This misrepresentation can have serious consequences, particularly in areas prone to flooding or severe weather events. As a result, understanding and mitigating precipitation clutter is crucial for improving the reliability of weather predictions.Meteorologists employ various techniques to minimize the effects of precipitation clutter. One common method involves using advanced algorithms that can differentiate between meteorological and non-meteorological echoes. These algorithms analyze the characteristics of the signals, such as their duration and amplitude, to filter out the clutter. Additionally, meteorologists may utilize dual-polarization radar technology, which offers more detailed information about precipitation particles, thus enhancing the ability to distinguish between actual weather phenomena and clutter.Another approach to dealing with precipitation clutter is through the strategic placement of radar systems. By positioning radars in locations that reduce the likelihood of clutter interference—such as away from urban areas or large bodies of water—meteorologists can improve the quality of the data they collect. Furthermore, continuous advancements in technology are leading to more sophisticated radar systems capable of providing clearer images with reduced clutter.In conclusion, precipitation clutter (降水杂波) poses a significant challenge in the field of meteorology, affecting the accuracy of weather forecasts and potentially leading to disastrous outcomes. By employing advanced algorithms, utilizing dual-polarization radar, and strategically placing radar systems, meteorologists can work towards minimizing the impact of this phenomenon. As technology continues to evolve, the hope is that we will see further improvements in our ability to predict weather accurately, ultimately leading to better preparedness for natural disasters and a safer environment for all.

天气预报是我们日常生活中一个重要的方面，影响着与旅行、户外活动甚至农业相关的决策。准确天气预测的关键组成部分之一是能够分析各种气象数据，包括雷达图像。然而，气象学家在解释这些图像时常常面临挑战，这种现象被称为降水杂波（precipitation clutter）。这个术语指的是雷达系统上非气象回波引起的干扰，这可能导致对实际天气情况的误解。要理解降水杂波，我们首先必须认识到雷达技术在天气观察中的工作原理。天气雷达发出无线电波，这些波在大气中的降水粒子上反射，使气象学家能够确定降雨、降雪或其他形式降水的位置、强度和运动。然而，雷达信号也可能被与天气无关的物体反射，例如建筑物、树木甚至鸟类。这些不必要的回声会导致我们所称的降水杂波，使得很难辨别真正的天气模式与虚假信号。降水杂波的存在可能严重影响天气预报的准确性。例如，在强降雨期间，雷达可能同时接收到来自实际降水和杂波的众多信号，导致对降水强度的高估。这种误表示可能会产生严重后果，特别是在易发生洪水或严重天气事件的地区。因此，理解和减轻降水杂波的影响对于提高天气预测的可靠性至关重要。气象学家采用各种技术来最小化降水杂波的影响。一种常见的方法是使用先进的算法，可以区分气象回波和非气象回波。这些算法分析信号的特征，如持续时间和振幅，以过滤掉杂波。此外，气象学家可能利用双偏振雷达技术，它提供有关降水粒子的更详细信息，从而增强区分实际天气现象和杂波的能力。应对降水杂波的另一种方法是通过战略性地布置雷达系统。通过将雷达放置在减少杂波干扰可能性的地点——例如远离城市区域或大型水体——气象学家可以改善他们收集的数据质量。此外，技术的不断进步导致了更复杂的雷达系统，能够提供更清晰的图像并减少杂波。总之，降水杂波（precipitation clutter）在气象学领域构成了重大挑战，影响着天气预报的准确性，并可能导致灾难性后果。通过采用先进的算法，利用双偏振雷达，以及战略性地布置雷达系统，气象学家可以努力减少这一现象的影响。随着技术的不断发展，我们希望看到我们预测天气的能力进一步改善，从而最终导致更好的自然灾害应对准备，为所有人创造一个更安全的环境。