REVIEW BY FLT LT KK DESHMUKH

Slides:

Advertisements

Similar presentations

The use of Doppler radar products for nowcasting tornadoes DWD workshop on tornado forecasting, February 24th 2005, Langen 1. introduction 2. products.

Advertisements

Introduction to data assimilation in meteorology Pierre Brousseau, Ludovic Auger ATMO 08,Alghero, september 2008.

GM versus LAM: one case of deep convection (27 August 2001) Manuel João Lopes; Margarida Belo Pereira; Pedro Miranda Instituto de Meteorologia Faculdade.

Weather Data Tools. Thermometer ► Measures air temperature.

Atmospheric structure from lidar and radar Jens Bösenberg 1.Motivation 2.Layer structure 3.Water vapour profiling 4.Turbulence structure 5.Cloud profiling.

A CASE STUDY OF THUNDERSTORM FORECASTING IN WEST AFRICA BY * Okoloye C. U., ** Alilonu B. N. *Nigerian Meteorological Agency (NIMET) Mallam Aminu Kano.

Weather Forecasting - II. Review The forecasting of weather by high-speed computers is known as numerical weather prediction. Mathematical models that.

Direct observations and measurements, weather maps, satellites, and radar 6.4.6: Predict weather conditions and patterns based upon weather data collected.

Moonlight reflecting off ice crystals in cirrostratus clouds can cause a halo to appear around the moon. Such a halo often indicates that precipitation.

Section 12.3 Gathering Weather Data

Prepared by: Ms. Siddhi Hegde Pawar Public School Kandivali.

Chapter 2, Lesson 3.  A weather forecast is a prediction of weather conditions over the next 3 to 5 days.  A meteorologist is a person who observes.

Guided Notes on Gathering Weather Data

Moisture observation by a dense GPS receiver network and its assimilation to JMA Meso ‑ Scale Model Koichi Yoshimoto 1, Yoshihiro Ishikawa 1, Yoshinori.

TECO-2006 Geneva, Dec. 3-5, Improvements in the Upper-Air Observation Systems in Japan M. Ishihara, M. Chiba, Y. Izumikawa, N. Kinoshita, and N.

Using What You’ve Learned About Electromagnetic Radiation and Sound (Acoustic Energy) to Measure Speed and Distance April 2007.

Hastings, Nebraska National Weather Service Considerations for TAF Composition UNK Aviation Department October 12, 2006.

Julie Haggerty National Center for Atmospheric Research Friends and Partners of Aviation Weather October July 2014.

8.21 MULTI-DIMENSIONAL APPLICATIONS OF NOWCASTING IN MALAWI LUCY MTILATILA Department of Meteorological Services Malawi.

CONTRIBUTIONS TO MAHASRI/AMY Dr. Samarendra Karmakar Director Bangladesh Meteorological Department (BMD)

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Radar fire observations and nowcasting.

Weather Predicting Weather forecasting is a prediction of what the weather will be like in an hour, tomorrow, or next week. Weather forecasting involves.

–thermometer –barometer –anemometer –hygrometer Objectives Recognize the importance of accurate weather data. Describe the technology used to collect.

Advanced interpretation and verification of very high resolution models National Meteorological Administration Rodica Dumitrache, Aurelia LUPASCU,

March 14, 2001 Bow Echo in Southeast Texas – A Mid-Altitude Radial Convergence Case Study Paul Lewis II.

1.How weather forecasting is useful? 2.What is the aim of weather forecasting? 3.What is weather forecasting? 4.How weather is predicted? 5.How reliable.

Observations of Characteristics During FP 2007 Ellen Ramirez Department of Marine and Environmental Systems Florida Institute of Technology Melbourne,

METR February Radar Products More Radar Background Precipitation Mode: -Volume Coverage Patterns (VCP) 21: 9 elevation angles with a complete.

Purpose To deepen your knowledge to use satellite images for practical nowcasting during situations of summer convection  Model monitoring  Interpretation.

ISRO RADAR DEVELOPMENT UNIT, BANGALORE. PRESENTATION TO CHAIRMAN - ISRO & MEMBERS - ISRO COUNCIL NRSA LECTUREGPM – GV MEETING # 2 ISRAD GROUND VALIDATION.

Forecasting the weather

JMA Japan Meteorological Agency QPE/QPF of JMA Application of Radar Data Masashi KUNITSUGU Head, National Typhoon Center Japan Meteorological Agency TYPHOON.

OKX The OKX sounding at 1200 UTC has 153 J kg -1 CIN extending upwards to 800 hPa and < 500 J kg -1 CAPE. There was 41.8 mm of precipitable water. By 1400.

City, State By Group Names. Today’s Weather Current conditions l Temperature l Humidity l Wind l Precipitation.

Vaisala Capabilities in Hydrometeorology Nicholas W. S. Demetriades and Ronald L. Holle Vaisala, Inc. Tucson, Arizona Fourth Symposium On Southwest Hydrometeorology.

Reflections on Radar Observations of Mesoscale Precipitation

Section 12.3 – Gathering Weather Data

Comparing a multi-channel geostationary satellite precipitation estimator with the single channel Hydroestimator over South Africa Estelle de Coning South.

Use of radar data in the HIRLAM modelling consortium

Xuexing Qiu and Fuqing Dec. 2014

What is Doppler Weather Radar

60 min Nowcasts 60 min Verification Cold Front Regime

Weather 6.E.2B.1 Analyze and interpret data from weather conditions (including wind speed and direction, air temperature, humidity, cloud types, and.

A few examples of heavy precipitation forecast Ming Xue Director

Shweta Thakur1. , Rahul Shrivastava1, Narendra Singh2 and S

Anticipating Aviation Weather Hazards in the Southwest

Weather Forecasting.

Tadashi Fujita (NPD JMA)

Radar Observation of Severe Weather

CLIMATE CHANGE IN TRINIDAD AND TOBAGO Willis Mills.

General Weather Processes

Ulrike Romatschke University of Washington, University of Vienna

Weather Instruments.

Essential Questions Why is accurate weather data important?

Forecasting Weather.

Hiding under a freeway overpass will protect me from a tornado.

Visible Satellite, Radar Precipitation, and Cloud-to-Ground Lightning

Weather Instruments.

THE CAUSES OF WEATHER Section 12.1.

A-J Punkka Weather Warning Service, FMI

Predicting the Weather

Weather Instruments.

Nowcast guidance of afternoon convection initiation for Taiwan

Section 3: Gathering Weather Data

Studies of convectively induced turbulence

Rita Roberts and Jim Wilson National Center for Atmospheric Research

WEATHER INSTRUMENTS.

Weather Analysis.

Predicting the Weather

Predicting the Weather

Presentation transcript:

REVIEW BY FLT LT KK DESHMUKH UTILISATION OF AEROSTAT DOPPLER WEATHER RADAR IN NOWCASTING OF CONVECTIVE PHENOMENA P.K. ARORA AND T.P. SRIVASTAVA MAUSAM 61, 1 (JAN 2010) REVIEW BY FLT LT KK DESHMUKH

SEQUENCE INTRODUCTION AIM SYSTEM AND ASSOCIATED METEOROLOGICAL EQUIPMENTS DWR: SPECIFICATION AND WORKING PRINCIPLE METHODOLOGY AND DATA USED CASE STUDY INFERENCES CONCLUSION CRITICAL APPRECIATION

INTRODUCTION

AIM UTILISATION OF THE DWR IMAGES FOR NOWCASTING OF THUNDERSTORM/DUST STORMS DURING PRE-MONSOON AND SW MONSOON SEASON

AEROSTAT SYSTEM AND ASSOCIATED METEOROLOGICAL EQUIPMENTS AUTOMATIC WEATHER STATION (AWS) WIND PROFILER THUNDERSTORM SENSOR AND ELECTRIC FIELD MILL DOPPLER WEATHER RADAR

OPERATING LIMITATIONS DUE TO WEATHER WIND SPEED GUSTING TURBULENCE LIGHTENING THUNDERSTORM DUST DEVILS PRECIPITATION

SPECIFICATIONS AND WORKING PRINCIPLE

MODES OF OPERATIONS WEATHER (Wx) MODE WEATHER PLUS TURBULENCE (Wx + T) MODE TURBULENCE (T) MODE

PRODUCTS GENERATED THROUGH DWR STANDARD METEOROLOGICAL PRODUCTS EXTENDED METEOROLOGICAL PRODUCTS HYDROLOGICAL PRODUCTS WIND SHEAR DETECTION PRODUCTS PHENOMENA DETECTION PRODUCT AVIATION PRODUCT RAW DATA PRE-PROCESSING

METHODOLOGY AND DATA USED CONTINUES HALF HOURLY BARNALA RADAR IMAGES OF 2008 DURING PR-MONSOON AND SW MONSOON COMPARISON WITH ACTUAL TIME OBSERVATION NWP PRODUCTS GENERATED WITH 1200 UTC INITIAL CONDITIONS AT AFCNWP (MM5 MODEL VERSION 3.7.2)

CASE STUDY 15-16 APR 08

ANALYSIS OF DWR IMAGERIES TIME (UTC) LOCATION OF ECHO 1411 OVER PAKISTAN, ABOUT 20 NM SE OF SARGODHA 1511 ECHO MOVED SLIGHTLY EASTWARDS 1626 ANOTHER ECHO WAS SEEN ALONG THE INTERNATIONAL BORDER, ABOUT 60-70 NM WEST OF BARNALA 1711 -1811 2-3 SIGNIFICANT ECHOES WERE OBSERVED MOVING TOWARDS NORTHEAST, AFFECTING WEATHER OVER PATHANKOT, AMRITSAR AND ADAMPUR 1906 SIGNIFICANT ECHO WAS OBSERVED BETWEEN 50-60 NM TO THE NORTHEAST OF BARNALA 1906 - 2203 FRESH ECHOES FORMED AND MOVED TOWARDS NORTHEAST, AFFECTING WEATHER OVER PATHANKOT, ADAMPUR, HALWARA AND BATHINDA

DWR IMAGES FROM BARNALA ON 15-16 APRIL 2008

OBSERVED WEATHER

ANALYSIS OF NWP PRODUCTS

VERTICAL PROFILE OF VERTICAL VELOCITY AND RELATIVE HUMIDITY

PREDICTED AND OBSERVED STRONGEST WIND

WIND SPEED IN LOWER LEVELS

PREDICTED AND OBSERVED STRONGEST WIND

SIMULATED COMPOSITE REFLECTIVITY

FORECAST RAINFALL PATTERN

INFERENCES RADAR IMAGES GAVE VERY RELIABLE INDICATION MESO-SCALE NWP MODELS CAN BE UTILISED VERTICAL PROFILES OF VERTICAL MOTION AND RELATIVE HUMIDITY INDICATE THE POSSIBLE TIME FRAME PREDICTED AMOUNT OF RAINFALL MAY NOT ALWAYS BE RELIABLE

CONCLUSION DWR IS A VERY GOOD TOOL TO TRACK THE MOVEMENT MESO-SCALE NWP MODELS ARE CAPABLE OF GENERATING RELIABLE INDICATIONS INTEGRATION OF BOTH THE INPUTS CAN INCREASE THE ACCURACY AND RELIABILITY RADAR ECHOES ARE SENSITIVE TO THE SEASONS

CRITICAL APPRECIATION STUDY IS CARRIED OUT ONLY FOR PRE-MONSOON AND SW MONSOON, HOWEVER NW INDIA WEATHER IS ALSO AFFECTED DURING POST-MONSOON. THE CASES ARE NOT CONSIDERED MORE CASE SHOULD HAVE BEEN TAKEN INTO CONSIDARATION AS PER AUTHOR ONLY HALF HOURLY IMAGES ARE AVAILABLE, BUT THE IMAGES ARE AVAILABLE IN REAL TIME