Rainfall Characteristics Analysis in Landslides Area Based on Micro Rain Radar

Similar documents
Observation strategies for severe rain in The Netherlands

CLIMATE. UNIT TWO March 2019

Severe Weather Watches, Advisories & Warnings

UNIT 1. WEATHER AND CLIMATE. PRIMARY 4/ Social Science Pedro Antonio López Hernández

Measuring snowfall with a low-power K-band radar (Micro Rain Radar) in polar regions

Rain heterogeneity studies and specific Z-R relationships determination with x-band and k-band radars to improve rain rate retrieval

What s New in the NWS? Georgia Association of Floodplain Management. Lans P. Rothfusz Meteorologist in Charge Peachtree City, GA 27 March 2012

EFFICIENCY OF THE INTEGRATED RESERVOIR OPERATION FOR FLOOD CONTROL IN THE UPPER TONE RIVER OF JAPAN CONSIDERING SPATIAL DISTRIBUTION OF RAINFALL

Application of Atmosphere Precipitation Resources Distribution Remote Sensed by Ground-based GPS in the West of Taiwan Strait.

Ship-Based Measurements of Cloud Microphysics and PBL Properties in Precipitating Trade Cumuli During RICO

HEAVY RAIN OVER MID-CENTRAL REGION OF VIETNAM

Observational analysis of storms and flooding events in the Pacific Northwest. Introduction

Analysis on Characteristics of Precipitation Change from 1957 to 2015 in Weishan County

Precipitation Structure and Processes of Typhoon Nari (2001): A Modeling Propsective

Radar precipitation measurement in the Alps big improvements triggered by MAP

Recent development of the National Hydro-Meteorological Service (NHMS) of Viet Nam for disaster risk reduction

Seasonal Climate Watch November 2017 to March 2018

Preliminary assessment of LAWR performance in tropical regions with high intensity convective rainfall

CH. 3: Climate and Vegetation

Analysis of meteorological measurements made over three rainy seasons in Sinazongwe District, Zambia.

Climate & Earth System Science. Introduction to Meteorology & Climate. Chapter 05 SOME OBSERVING INSTRUMENTS. Instrument Enclosure.

Analysis of TRMM Precipitation Radar Measurements over Iraq

Severe weather. Some case studies for medium-range forecasting. T. La Rocca, Department of Synoptic Meteorology, Italian Met. Service, Rome.

Introduction. Suita. Kobe. Okinawa. Tsukuba. Tokyo? in in in in 2017 See Poster #16 2. in 2015

REQUIREMENTS FOR WEATHER RADAR DATA. Review of the current and likely future hydrological requirements for Weather Radar data

DETECTION AND FORECASTING - THE CZECH EXPERIENCE

HYDROLOGICAL MODELING APPLICATIONS OF HIGH RESOLUTION RAIN RADAR

Chapter 3 Section 3 World Climate Regions In-Depth Resources: Unit 1

Precipitation estimate of a heavy rain event using a C-band solid-state polarimetric radar

Ganbat.B, Agro meteorology Section

DISTRIBUTION AND DIURNAL VARIATION OF WARM-SEASON SHORT-DURATION HEAVY RAINFALL IN RELATION TO THE MCSS IN CHINA

WEATHER. rain. thunder. The explosive sound of air as it is heated by lightning.

URBAN HEAT ISLAND IN SEOUL

ABSTRACT 3 RADIAL VELOCITY ASSIMILATION IN BJRUC 3.1 ASSIMILATION STRATEGY OF RADIAL

Early Warning System and Role of IMD. Manmohan Singh Meteorological Centre Shimla

NOTES AND CORRESPONDENCE. Relationship between Orographic Enhancement of Rainfall Rate and Movement Speed of Radar Echoes: Case Study of Typhoon 0709

Remote Sensing in Meteorology: Satellites and Radar. AT 351 Lab 10 April 2, Remote Sensing

Weather Modification and its development in Xinjiang. Caixia Cui, Xinjiang Meteorological Bureau 12 December 2015

SPATIAL AND TEMPORAL VARIABILITY OF DROP SIZE DISTRIBUTION FROM VERTICALLY POINTING MICRO RAIN RADAR (MRR)

Application of a statistical method for medium-term rainfall prediction

Module 11: Meteorology Topic 5 Content: Weather Maps Notes

Tropical Moist Rainforest

Verification of the Seasonal Forecast for the 2005/06 Winter

Emerging Needs, Challenges and Response Strategy

Convective Structures in Clear-Air Echoes seen by a Weather Radar

PUBLICATIONS. Journal of Geophysical Research: Atmospheres

APPENDIX 2 OVERVIEW OF THE GLOBAL PRECIPITATION MEASUREMENT (GPM) AND THE TROPICAL RAINFALL MEASURING MISSION (TRMM) 2-1

Long-Term Trend of Summer Rainfall at Selected Stations in the Republic of Korea

Validation of MÉRA total precipitation at Stornoway (Scotland) with a 24 GHz micro rain radar: A Preliminary Investigation

Ed Tomlinson, PhD Bill Kappel Applied Weather Associates LLC. Tye Parzybok Metstat Inc. Bryan Rappolt Genesis Weather Solutions LLC

MAIN ATTRIBUTES OF THE PRECIPITATION PRODUCTS DEVELOPED BY THE HYDROLOGY SAF PROJECT RESULTS OF THE VALIDATION IN HUNGARY

World Geography Chapter 3

Will a warmer world change Queensland s rainfall?

Application and Verification of Multi-Model Products in Medium Range Forecast

Chapter Introduction. Weather. Patterns. Forecasts Chapter Wrap-Up

Nested coupled air/sea modeling for multi-scale processes in the Maritime Continent

Utilization of Dual-pol data

Characteristics of Rainfall-Radar Reflectivity Relationship over Lower Northern Thailand. Tha Pho, Muang, Phitsanulok, THAILAND

NEW SCHEME TO IMPROVE THE DETECTION OF RAINY CLOUDS IN PUERTO RICO

Vertical structure and precipitation properties in typhoon rainbands

Fundamentals of Radar Display. Atmospheric Instrumentation

Systematic Variation of Rain Rate and Radar Reflectivity Relations for Micro Wave Applications in a Tropical Location.

netw rks Guided Reading Activity Essential Question: How does geography influence the way people live? Earth's Physical Geography

Vertical Profiles of Rain Drop-Size Distribution over Tropical Semi-Arid- Region, Kadapa (14.47 N; E), India

CLIMATE CHANGE ADAPTATION BY MEANS OF PUBLIC PRIVATE PARTNERSHIP TO ESTABLISH EARLY WARNING SYSTEM

Study of risk and early warning index of rainstorm waterlogging in Wuhan City

Outline. Research Achievements

Lab 6 Radar Imagery Interpretation

3 rd Grade GLEs 47, 48, & 49. Study Guide. Answer Guide Included

Application of microwave radiometer and wind profiler data in the estimation of wind gust associated with intense convective weather

MTO s Road Weather Information System (RWIS)

Characteristics of Precipitation Systems over Iraq Observed by TRMM Radar

Climates of Earth. Lesson Outline LESSON 1. A. What is climate? 1. is the long-term average weather conditions that occur in a particular region.

Severe storms over the Mediterranean Sea: A satellite and model analysis

Chapter 12: Meteorology

Meteorological alert system in NMS of Mongolia

Summary of the World s Major Terrestrial Biomes

Remote Sensing of Precipitation

Climate vs. Weather. Weather: Short term state of the atmosphere. Climate: The average weather conditions in an area over a long period of time

Investigation of the 2013 Hadari Debris Flow in Korea Through Field Survey and Numerical Analysis

A new mesoscale NWP system for Australia

PRECIPITATION TYPE AND RAINFALL INTENSITY FROM THE PLUDIX DISDROMETER DURING THE WASSERKUPPE CAMPAIGN

Comparison of the seasonal cycle of tropical and subtropical precipitation over East Asian monsoon area

Climate.tgt, Version: 1 1

The Hydrologic Cycle: How Do River Forecast Centers Measure the Parts?

Dancers from Dora Stratou welcome us to Greece Ionian Sea Rainfall Experiment

Complete Weather Intelligence for Public Safety from DTN

Water Erosion (pages )

National Weather Service Flood Forecast Needs: Improved Rainfall Estimates

Fluid Circulation Review. Vocabulary. - Dark colored surfaces absorb more energy.

Evaluation of raindrop size distribution. retrievals based on the Doppler spectra. using three beams. Christine Unal

Understanding Weather and Climate Risk. Matthew Perry Sharing an Uncertain World Conference The Geological Society, 13 July 2017

Preliminary Runoff Outlook February 2018

4/25/18. Precipitation and Radar GEF4310 Cloud Physics. Schedule, Spring Global precipitation patterns

The Contribution Of Fine Scale Atmospheric Numerical Models In Improving The Quality Of Hydraulic Modelling Outputs

WIND PROFILER NETWORK OF JAPAN METEOROLOGICAL AGENCY

Transient and Eddy. Transient/Eddy Flux. Flux Components. Lecture 3: Weather/Disturbance. Transient: deviations from time mean Time Mean

Joint Meeting of RA II WIGOS Project and RA V TT-SU on 11 October 2018 BMKG Headquarter Jakarta, Indonesia. Mrs. Sinthaly CHANTHANA

Chapter 1 Section 2. Land, Water, and Climate

Detailed Storm Rainfall Analysis for Hurricane Ivan Flooding in Georgia Using the Storm Precipitation Analysis System (SPAS) and NEXRAD Weather Radar

Transcription:

2017 2nd International Conference on Civil Engineering and Rock Engineering (ICCERE 2017) ISBN: 978-1-60595-513-1 Rainfall Characteristics Analysis in Landslides Area Based on Micro Rain Radar Zhiwang Wang, Suoying Mao and Xiao Han ABSTRACT It s very important to study the characteristics of precipitation structure and internal micro-physical processes for improving the monitoring and forecast of precipitation. This paper studies the time-height profile of the reflectivity factor, radar echo analysis and comparative analysis of precipitation of the two precipitation processes from 14:30 to 15:30 and 18:00 to 20:30 on 29 May 2013 in the Wangmo county, Guizhou province of China. The results indicate that there is a good correspondence between the radar echo detected by MRR and the precipitation process, and the radar echo detected by MRR can detect and reflect the precipitation process very well. The comparative analysis of precipitation shows that MRR has higher detection accuracy for weak rainfall. 1 INTRODUCTION It s of great significance to understand the characteristics of precipitation structure and internal micro-physical processes for improving the monitoring and forecast of precipitation. Currently used precipitation detection equipment, including Doppler weather radar, surface rain gauge and raindrop spectrometer. Doppler radar can observe high spatial and temporal resolution of a large-scale three-dimensional structure of precipitation, but the raindrop spectrum distribution inside the precipitation system cannot be obtained and the accuracy of precipitation estimation is low. At the same time, the radar beam cannot measure the near-surface 1 Zhi-wang Wang, Suo-ying Mao, Xiao Han, Changjiang River Scientific Research Institute, Wuhan, China; Research Center on Water Engineering Safety and Disaster Prevention of the Ministry of Water Resources, Wuhan, China; Research Center on National Dam Safety Engineering Technology, Wuhan, China. 685

precipitation echoes from far away. The surface rain gauge can accurately measure the surface precipitation, and the ground raindrop spectrometer can further detect the raindrop spectrum distribution near the ground, which helps to understand the microphysical features of the ground rainfall. However, the ground raindrop spectrometer cannot observe the vertical structure of precipitation and therefore cannot deeply study the micro-physical process of precipitation. Vertical-pointing radar can measure reflectance factor and raindrop spectral distribution from near ground to high altitude, which plays an important role in studying and analyzing precipitation micro-physical structure and improving the accuracy of radar precipitation estimation. The MicroRain Radar (MRR) produced by METEK in Germany is a commonly used vertical pointing radar for observing the vertical structure of precipitation. It uses continuous FM technology, with the operating frequency of 24 GHz and a wavelength of 12.5mm (K band). The MRR uses the Doppler effect to measure the raindrop size distribution at different heights (vertical 30 levels) through the relationship between the raindrop size, the scattering cross section and the falling speed, and derives the precipitation rate, the liquid water content, the particle drop speed and the radar reflectivity factor and other data. STUDY AREA AND DATA SETS The study area is located in Wangmo county, Guizhou province, China, where is in the subtropical monsoon climate zone with clear early spring and long summer, late autumn and short winter. It is not cold in winter, hot and humid in summer and rainy and hot in the same season. The precipitation in most areas is about 1220 mm. Due to the geological structure and landforms, most of the rivers in the territory are mountainous rivers, deep riverbed and more rapids in floodplains. Therefore, the characteristics of steep and steep rising of floods are obvious. A micro rain radar (MRR) produced by METEK in Germany and a rain gauge were installed in the study area. RESULTS AND DISCUSSION The MicroRain Radar (MRR) produced by METEK in Germany is a commonly used vertical pointing radar for observing the vertical structure of precipitation. It uses the continuous frequency modulation technology (FM-CW), operating frequency of 24GHz, wavelength of 12.5mm (K band). The MRR uses the Doppler effect to measure the raindrop size distribution at different heights (vertical 30 levels) through the relationship between the raindrop size, the scattering cross section and the falling speed, and derives the raindrop size distribution, the liquid water content, the particle drop speed and the radar reflectivity Factor and other data. 686

The case study selected for this study is the two precipitation processes in the Wangmo area from 14:30 to 15:30 and 18:00 to 20:30 on 29 May 2013. The timeheight profile of the reflectance factor is shown in Figure 1. There were total 31 floors in vertical direction of MRR, the height resolution was 100m, the maximum measurement height was 3100m, the sampling time interval was 10s. The minimum resolution of ground rain gauge was 0.5mm, the sampling time interval was 1 min. Figure 1. Time-height profile of reflectance factors during two precipitation process on 29 May 2013. The time-height profile changes of the radar reflectivity factors for the two precipitation processes are shown in Figure 1. Observations from 14:30 to 15:30 on May 29, 2013 showed that the MRR detected weak echoes ranging from 15 to 48.70 dbz. Rainfall was small between 18:00 and 20:30 and the radar echo detected by the MRR was also small, varying from 0 to 30.39 dbz. In the rest of the period, there was no precipitation, and the radar echo is basically less than zero. The vertical profile of the MRR average reflectance factor during the two precipitation events is shown in Figure 2. The rainfall between 14:30 and 15:30 was very heavy, the average echo intensity in the lower floors was also larger, reaching about 30 dbz. And average echo intensity in the lower floors decreased vastly when the altitude increased because the MRR echo intensity in the long distance decreased in heavy precipitation. The rainfall was small and the average echo intensity was small between 18:00 and 20:30. The MRR also decayed in the upper layer, but the attenuation in the weak precipitation was small. Radar echo analysis shows that there is a good correspondence between the radar echo detected by MRR and the precipitation process, and the radar echo detected by MRR can detect and reflect the precipitation process very well. 687

Figure 2. Vertical profile of average reflectivity factor of MRR during the two rainfall episodes on May 29, 2013 The MRR reflectivity over time during the two precipitation events is shown in Figure 3. The reflectivity measured by MRR at 100m, 200m, 300m and 400m altitudes was compared with the precipitation measured by the surface rain gauge. The hourly cumulative precipitation from the two precipitation processes (Fig 4) shows that the peak precipitation is consistent. The precipitation measured by MRR at the height of 100m agrees well with the precipitation observed by the rain gauge on the ground, and the deviation at the peak is less than 0.5mm The precipitation rates measured at 200m, 300m and 400m successively decreased, but the trend was basically the same. The comparative analysis of precipitation shows that MRR has higher detection accuracy for weak rainfall. CONCLUDING REMARKS Radar echo analysis shows that there is a good correspondence between the radar echo detected by MRR and the precipitation process, and the radar echo detected by MRR can detect and reflect the precipitation process very well. The comparative analysis of precipitation shows that MRR has higher detection accuracy for weak rainfall. 688

Reflectivity/dBz 60 50 40 30 20 10 0 10 20 30 40 100m 200m 400m 0 2 4 6 8 10 12 14 16 18 20 22 24 Time/UTC Figure 3. Curve of MRR reflectance over time for two precipitation events on May 29, 2013. 20 Hourly Cumulative Precipitation/mm 15 10 5 MRR 100m MRR 200m MRR 300m MRR 400m rain gauge 0 0:00 6:00 12:00 18:00 0:00 Time/UTC Figure 4. Hourly accumulated precipitation measured by MRR radar at 100m,200m,300m, 400m and rain gauge for the 29 May 2013 rain events. ACKNOWLEDGEMENT This research was financially supported by the National Natural Science Foundation of China (No.51379023), and the Public Welfare Research Project sponsored by Ministry of Water Resources of China (201501033-3). REFERENCES 1. Peters G., Fischer B., Mtinster H., et a1. Profiles of raindrop size distributions as retrieved by micro rain radars. Journal of Applied Meteorology, 2005, 44(12): 1930-1949. 2. Tridon F., Van Baelen J., Pointin Y. Aliasing in micro rain radar data due to strong vertical winds. Geophysical Research Letters, 2011, 38(2): 12-13. 689