Evaluation of a new X-band weather radar for operational use in south Sweden

Author:

Hosseini Seyyed Hasan123,Hashemi Hossein12,Berndtsson Ronny12,South Nicholas4,Aspegren Henrik5,Larsson Rolf1,Olsson Jonas6,Persson Andreas7,Olsson Lisa4

Affiliation:

1. Water Resources Engineering, LTH, Lund University, P.O. Box 118, SE-221 00 Lund, Sweden

2. CMES, Lund University, P.O. Box 201, SE-221 00 Lund, Sweden

3. Water Engineering, Faculty of Agriculture, University of Tabriz, Postal Code 5166616471, Tabriz, Iran

4. VA SYD, P.O. Box 191, SE-201 21 Malmö, Sweden

5. Sweden Water Research, The Joint R&D company of NSVA, Sydvatten and VA SYD, Ideon Science Park, Scheelevägen 15, SE-223 70 Lund, Sweden and Department of Chemical Engineering LTH, Water and Environmental Engineering, P.O. Box 124, SE-221 00 Lund, Sweden

6. Swedish Meteorological and Hydrological Institute, SE-601 76 Norrköping, Sweden

7. Lund University GIS Centre, P.O. Box 117, SE-221 00 Lund, Sweden

Abstract

Abstract The performance of a new type of X-band weather radar (WR) for Sweden during a pilot run is studied. Compared to the conventional C-band WRs, the X-band WR covers a smaller area but with a higher spatiotemporal resolution, making it suitable for urban hydrological applications. Rainfall estimations from different elevation angles of the radar (levels) are compared at one-minute and single-event timescales with the observations of several rain gauges at different ranges using hyetographs. In general, the estimations aligned well with observations and the best match appeared for ranges as long as 5–10 km. Seemingly, radar estimations suffered from overshooting of lower lying showers by higher level scans in longer ranges (19–30 km) and from the reflectivity contamination due to moving objects in short ranges (<1 km). Also, the effective range of the radar dropped sharply for the moments when a cloudburst was located over the radar. Although various sources of error could affect the X-band WR rainfall estimates, higher resolution spatiotemporal rainfall monitoring for wider areas will benefit from an integration of data from a network of X-band WRs.

Publisher

IWA Publishing

Subject

Water Science and Technology,Environmental Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3