Suman Goyal Sc E /In-charge SYNOPTIC Application Unit Satellite Meteorology Davison

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Suman Goyal Sc E /In-charge SYNOPTIC Application Unit Satellite Meteorology Davison"

Transcription

1 Suman Goyal Sc E /In-charge SYNOPTIC Application Unit Satellite Meteorology Davison

2 Introduction What is ForTraCC? It is an algorithm for tracking and forecasting radiative and morphological characteristics of mesoscale convective systems (MCSs) through their entire life cycles using geostationary satellite thermal channel information (10.8 µm).

3 ForTraCC is a nowcasting software developed by Brazilian Meteorologist for the purpose of convective cell identification tracking and nowcasting by using developed convective cells from the Satellite Data. The Software is originally designed for GOES data Satellite Application unit with the help of SAC, Ahmedabad implemented this software partially on INSAT-3D data The verification of software is in process for Indian region Some verification Results for a particular event are shown.

4 Algorithm of ForTraCC The main steps of the algorithm are the following: A cloud cluster detection method based on a size and temperature threshold A statistical module to identify morphological and radiative parameters of each MCS A tracking technique based on MCS overlapping areas between successive images A forecast module based on MCS evolution in previous time steps In ForTraCC Vila (2005) method are used and In this case a minimum of 150 pixels considering the image resolution of 4X4 km is taken i.e. minimum size should be km

5 Tracking technique of ForTraCC The tracking methodology is based on tracking algorithm presented in Mathon & Laurent (2001) The tracking of convective clouds is based on area overlapping method and assumes that there are common pixels in two consecutive images A brightness temperature threshold of 235 K has been chosen for MCS detection because this threshold seems to be suitable for detecting clouds associated with convection. In this technique simply assumes that a cloud at a later time corresponds to that at an earlier time when, considering the previous constraints of size and temperature, there are common pixels in consecutive images.

6 Tracking methodology Continuity Spliting Merger Situation of Convective clouds obtain during algorithm

7 MCS center of mass displacement estimation V(t-1) = estimated displacement vector in the previous time VP(t) = predicted displacement vector for next 30 min (considering no change in displacement vector) ΔV(t)= V(t)-VP(t) V(t) is the real MCS displacement The estimation/prediction of vector displacement of MCS for next 30 min is Limitation: Applicable for continuity condition VE(t+1)=V(t) + ΔV(t) Not applicable for merging and splitting Conserve MCS s shape and size

8 Mesoscale convective system displacement estimation

9 MCS life cycle Phase (Growth and Decay)

10 Verification of Satellite based nowcasting technique The thunderstorm event reported by Met Office Event Date : 03-MAY-2014 Event: Thunder Squall reported at Safdarjung (New Delhi) at 03/ /1355 UTC & Alipore (Kolkata) from 03/ UTC

11 Procedure for generating forecast files At least 4 consecutive HDF files are taken for generation of forecast up to 6hrs. Hdf5 Data taken for the generation of forecast file for this case For this case the data of 1130 UTC is taken as last for which the forecast up to 1730 UTC are generate for every 30 min. The verification of forecast with actual observation by min CTT of the convective cell are shown

12 2 hour Fortracc forecast verification 2 Hr. forecast Actual 1330 UTC , , , , Hr. forecast Actual 1400 UTC , , , ,88.2

13 3 hour Fortracc forecast verification 3 Hr. forecast Actual 1330 UTC , , , , Hr. forecast Actual 1400 UTC , , , ,87.4

14 4 hour Fortracc forecast verification 4 Hr. forecast Actual 1330 UTC , , , , Hr. forecast , , , ,88.2

15 CTT comparison over Delhi area Time/fcst hr. fcst actual Min. CTT Position Min CTT Position 1330/ 2 hr , , / 2.5 hr , , / 3 hr , , / 3.5 hr , , / 4 hr , , / 4.5 hr , ,75.5

16 Min CTT comparison over Alipore area Time/fcst hr. fcst actual Min. CTT Position Min CTT Position 1330/ 2 hr , , / 2.5 hr , , / 3 hr , , / 3.5 hr , , / 4 hr , , / 4.5 hr , ,88.2

17 Forecast using animation

18 J & K Disaster

19 Procedure for implementation Possible ways to do this: To put the information of area, min CTT, centroid and extent by using locally developed algorithm named FLOODFILL. METHODOLOGY of Floodfill Extracting pixels with given temperature value (here it is 243 K(-30 C)) Run flood fill algorithm for 243 K (-30 C) 223 K (-50 C) 203 K (-70 C) to separate cells Output cell characteristics: Latitude range Longitude range Centre Area Min. temperature

20 Validation of Nowcasting Technique The correlation graph of Min cloud top brightness temperature for 120 (2hrs) and 150 (2.5 hrs) forecast with actual BT.

21 Consequences of Convective activity Uttarakhand Disaster J & K Disaster

22 धन यव द

Forecast and Tracking the Evolution of Cloud Clusters (ForTraCC) Using Satellite Infrared Imagery: Methodology and Validation

Forecast and Tracking the Evolution of Cloud Clusters (ForTraCC) Using Satellite Infrared Imagery: Methodology and Validation APRIL 2008 V I L A E T A L. 233 Forecast and Tracking the Evolution of Cloud Clusters (ForTraCC) Using Satellite Infrared Imagery: Methodology and Validation DANIEL ALEJANDRO VILA Cooperative Institute

More information

Thomas Fiolleau Rémy Roca Frederico Carlos Angelis Nicolas Viltard. www.satmos.meteo.fr

Thomas Fiolleau Rémy Roca Frederico Carlos Angelis Nicolas Viltard. www.satmos.meteo.fr Comparison of tropical convective systems life cycle characteristics from geostationary and TRMM observations for the West African, Indian and South American regions Thomas Fiolleau Rémy Roca Frederico

More information

Studying cloud properties from space using sounder data: A preparatory study for INSAT-3D

Studying cloud properties from space using sounder data: A preparatory study for INSAT-3D Studying cloud properties from space using sounder data: A preparatory study for INSAT-3D Munn V. Shukla and P. K. Thapliyal Atmospheric Sciences Division Atmospheric and Oceanic Sciences Group Space Applications

More information

ANALYSIS OF THUNDERSTORM CLIMATOLOGY AND CONVECTIVE SYSTEMS, PERIODS WITH LARGE PRECIPITATION IN HUNGARY. Theses of the PhD dissertation

ANALYSIS OF THUNDERSTORM CLIMATOLOGY AND CONVECTIVE SYSTEMS, PERIODS WITH LARGE PRECIPITATION IN HUNGARY. Theses of the PhD dissertation ANALYSIS OF THUNDERSTORM CLIMATOLOGY AND CONVECTIVE SYSTEMS, PERIODS WITH LARGE PRECIPITATION IN HUNGARY Theses of the PhD dissertation ANDRÁS TAMÁS SERES EÖTVÖS LORÁND UNIVERSITY FACULTY OF SCIENCE PhD

More information

A comparison of NOAA/AVHRR derived cloud amount with MODIS and surface observation

A comparison of NOAA/AVHRR derived cloud amount with MODIS and surface observation A comparison of NOAA/AVHRR derived cloud amount with MODIS and surface observation LIU Jian YANG Xiaofeng and CUI Peng National Satellite Meteorological Center, CMA, CHINA outline 1. Introduction 2. Data

More information

Volcanic Ash Monitoring: Product Guide

Volcanic Ash Monitoring: Product Guide Doc.No. Issue : : EUM/TSS/MAN/15/802120 v1a EUMETSAT Eumetsat-Allee 1, D-64295 Darmstadt, Germany Tel: +49 6151 807-7 Fax: +49 6151 807 555 Date : 2 June 2015 http://www.eumetsat.int WBS/DBS : EUMETSAT

More information

Overview of the IR channels and their applications

Overview of the IR channels and their applications Ján Kaňák Slovak Hydrometeorological Institute Jan.kanak@shmu.sk Overview of the IR channels and their applications EUMeTrain, 14 June 2011 Ján Kaňák, SHMÚ 1 Basics in satellite Infrared image interpretation

More information

The impact of window size on AMV

The impact of window size on AMV The impact of window size on AMV E. H. Sohn 1 and R. Borde 2 KMA 1 and EUMETSAT 2 Abstract Target size determination is subjective not only for tracking the vector but also AMV results. Smaller target

More information

Development and Application of a Satellite-based Convective Cloud Object-Tracking Methodology: A Multipurpose Data Fusion Tool

Development and Application of a Satellite-based Convective Cloud Object-Tracking Methodology: A Multipurpose Data Fusion Tool Development and Application of a Satellite-based Convective Cloud Object-Tracking Methodology: A Multipurpose Data Fusion Tool Justin M. Sieglaff, Daniel C. Hartung, Wayne F. Feltz, Lee M. Cronce Cooperative

More information

1861-35. European Conference on Severe Storms (ECSS 2007) 10-14 September 2007

1861-35. European Conference on Severe Storms (ECSS 2007) 10-14 September 2007 1861-35 European Conference on Severe Storms (ECSS 2007) 10-14 September 2007 Development of an operational thunderstorm forecast system for air traffic FORSTER Caroline Institut fuer Physik der Atmosphere,

More information

EUMETSAT Satellite Programmes

EUMETSAT Satellite Programmes EUMETSAT Satellite Programmes Nowcasting Applications Developing Countries Marianne König marianne.koenig@eumetsat.int WSN-12 Rio de Janeiro 06-10 August 2012 27 Member States & 4 Cooperating States Member

More information

Authors: Thierry Phulpin, CNES Lydie Lavanant, Meteo France Claude Camy-Peyret, LPMAA/CNRS. Date: 15 June 2005

Authors: Thierry Phulpin, CNES Lydie Lavanant, Meteo France Claude Camy-Peyret, LPMAA/CNRS. Date: 15 June 2005 Comments on the number of cloud free observations per day and location- LEO constellation vs. GEO - Annex in the final Technical Note on geostationary mission concepts Authors: Thierry Phulpin, CNES Lydie

More information

Nowcasting: analysis and up to 6 hours forecast

Nowcasting: analysis and up to 6 hours forecast Nowcasting: analysis and up to 6 hours forecast Very high resoultion in time and space Better than NWP Rapid update Application oriented NWP problems for 0 6 forecast: Incomplete physics Resolution space

More information

SATELLITE USES FOR PURPOSE OF NOWCASTING. Introduction

SATELLITE USES FOR PURPOSE OF NOWCASTING. Introduction SATELLITE USES FOR PURPOSE OF NOWCASTING Kedir, Mohammed National Meteorological Agency of Ethiopia Introduction The application(uses) of satellite sensing data deals to obtain information about the basic

More information

CLOUD CLASSIFICATION EXTRACTED FROM AVHRR AND GOES IMAGERY. M.Derrien, H.Le Gléau

CLOUD CLASSIFICATION EXTRACTED FROM AVHRR AND GOES IMAGERY. M.Derrien, H.Le Gléau CLOUD CLASSIFICATION EXTRACTED FROM AVHRR AND GOES IMAGERY M.Derrien, H.Le Gléau Météo-France / SCEM / Centre de Météorologie Spatiale BP 147 22302 Lannion. France ABSTRACT We developed an automated pixel-scale

More information

HUNGARIAN METEOROLOGICAL SERVICE, BUDAPEST

HUNGARIAN METEOROLOGICAL SERVICE, BUDAPEST WWW TECHNICAL PROGRESS REPORT ON THE GLOBAL DATA- PROCESSING AND FORECASTING SYSTEM (GDPFS), AND THE ANNUAL NUMERICAL WEATHER PREDICTION (NWP) PROGRESS REPORT FOR THE YEAR 2005 HUNGARIAN METEOROLOGICAL

More information

Cloud Mask Product: Product Guide

Cloud Mask Product: Product Guide Doc.No. Issue : : EUM/TSS/MAN/15/801027 v1a EUMETSAT Eumetsat-Allee 1, D-64295 Darmstadt, Germany Tel: +49 6151 807-7 Fax: +49 6151 807 555 Date : 21 August 2015 http://www.eumetsat.int WBS : EUMETSAT

More information

Evaluations of the CALIPSO Cloud Optical Depth Algorithm Through Comparisons with a GOES Derived Cloud Analysis

Evaluations of the CALIPSO Cloud Optical Depth Algorithm Through Comparisons with a GOES Derived Cloud Analysis Generated using V3.0 of the official AMS LATEX template Evaluations of the CALIPSO Cloud Optical Depth Algorithm Through Comparisons with a GOES Derived Cloud Analysis Katie Carbonari, Heather Kiley, and

More information

Outline. Case Study over Vale do Paraiba 11 February 2012. Comparison of different rain rate retrievals for heavy. Future Work

Outline. Case Study over Vale do Paraiba 11 February 2012. Comparison of different rain rate retrievals for heavy. Future Work Outline Short description of the algorithms for rain rate retrievals from passive microwave radiometers on board low-orbiting satellites (i.e., SSMI/S) Case Study over Vale do Paraiba 11 February 2012

More information

Cloud Grid Information Objective Dvorak Analysis (CLOUD) at the RSMC Tokyo - Typhoon Center

Cloud Grid Information Objective Dvorak Analysis (CLOUD) at the RSMC Tokyo - Typhoon Center Cloud Grid Information Objective Dvorak Analysis (CLOUD) at the RSMC Tokyo - Typhoon Center Kenji Kishimoto, Masaru Sasaki and Masashi Kunitsugu Forecast Division, Forecast Department Japan Meteorological

More information

GOES-R AWG Cloud Team: ABI Cloud Height

GOES-R AWG Cloud Team: ABI Cloud Height GOES-R AWG Cloud Team: ABI Cloud Height June 8, 2010 Presented By: Andrew Heidinger 1 1 NOAA/NESDIS/STAR 1 Outline Executive Summary Algorithm Description ADEB and IV&V Response Summary Requirements Specification

More information

Frequently Asked Questions - Satellite Related

Frequently Asked Questions - Satellite Related Frequently Asked Questions - Satellite Related 1.What is a Satellite? Circling the earth, high above our heads, satellites are messengers and observers in the sky. They relay telephones calls, watch the

More information

FLOODALERT: A SIMPLIFIED RADAR-BASED EWS FOR URBAN FLOOD WARNING

FLOODALERT: A SIMPLIFIED RADAR-BASED EWS FOR URBAN FLOOD WARNING 11 th International Conference on Hydroinformatics HIC 2014, New York City, USA FLOODALERT: A SIMPLIFIED RADAR-BASED EWS FOR URBAN FLOOD WARNING XAVIER LLORT (1), RAFAEL SÁNCHEZ-DIEZMA (1), ÁLVARO RODRÍGUEZ

More information

Solar Irradiance Forecasting Using Multi-layer Cloud Tracking and Numerical Weather Prediction

Solar Irradiance Forecasting Using Multi-layer Cloud Tracking and Numerical Weather Prediction Solar Irradiance Forecasting Using Multi-layer Cloud Tracking and Numerical Weather Prediction Jin Xu, Shinjae Yoo, Dantong Yu, Dong Huang, John Heiser, Paul Kalb Solar Energy Abundant, clean, and secure

More information

Clear Sky Radiance (CSR) Product from MTSAT-1R. UESAWA Daisaku* Abstract

Clear Sky Radiance (CSR) Product from MTSAT-1R. UESAWA Daisaku* Abstract Clear Sky Radiance (CSR) Product from MTSAT-1R UESAWA Daisaku* Abstract The Meteorological Satellite Center (MSC) has developed a Clear Sky Radiance (CSR) product from MTSAT-1R and has been disseminating

More information

CALCULATION OF CLOUD MOTION WIND WITH GMS-5 IMAGES IN CHINA. Satellite Meteorological Center Beijing 100081, China ABSTRACT

CALCULATION OF CLOUD MOTION WIND WITH GMS-5 IMAGES IN CHINA. Satellite Meteorological Center Beijing 100081, China ABSTRACT CALCULATION OF CLOUD MOTION WIND WITH GMS-5 IMAGES IN CHINA Xu Jianmin Zhang Qisong Satellite Meteorological Center Beijing 100081, China ABSTRACT With GMS-5 images, cloud motion wind was calculated. For

More information

152 OBJECTIVE, AUTOMATIC TRACKING OF PRE-GENESIS TROPICAL DISTURBANCES WITHIN THE DEVIATION ANGLE VARIANCE METHOD

152 OBJECTIVE, AUTOMATIC TRACKING OF PRE-GENESIS TROPICAL DISTURBANCES WITHIN THE DEVIATION ANGLE VARIANCE METHOD 152 OBJECTIVE, AUTOMATIC TRACKING OF PRE-GENESIS TROPICAL DISTURBANCES WITHIN THE DEVIATION ANGLE VARIANCE METHOD Oscar G. Rodríguez-Herrera,* Kimberly M. Wood, Klaus P. Dolling, Wiley T. Black, Elizabeth

More information

VIIRS-CrIS mapping. NWP SAF AAPP VIIRS-CrIS Mapping

VIIRS-CrIS mapping. NWP SAF AAPP VIIRS-CrIS Mapping NWP SAF AAPP VIIRS-CrIS Mapping This documentation was developed within the context of the EUMETSAT Satellite Application Facility on Numerical Weather Prediction (NWP SAF), under the Cooperation Agreement

More information

Validation of SEVIRI cloud-top height retrievals from A-Train data

Validation of SEVIRI cloud-top height retrievals from A-Train data Validation of SEVIRI cloud-top height retrievals from A-Train data Chu-Yong Chung, Pete N Francis, and Roger Saunders Contents Introduction MO GeoCloud AVAC-S Long-term monitoring Comparison with OCA Summary

More information

"Attività di modellistica numerica previsionale meteorologica al Servizio IdroMeteoClima di ARPA Emilia-Romagna"

Attività di modellistica numerica previsionale meteorologica al Servizio IdroMeteoClima di ARPA Emilia-Romagna "Attività di modellistica numerica previsionale meteorologica al Servizio IdroMeteoClima di ARPA Emilia-Romagna" Author: Tiziana Paccagnella Organization: ARPA SIMC 1 ARPA-SIMC Modelling Group Head of

More information

Active Fire Monitoring: Product Guide

Active Fire Monitoring: Product Guide Active Fire Monitoring: Product Guide Doc.No. Issue : : EUM/TSS/MAN/15/801989 v1c EUMETSAT Eumetsat-Allee 1, D-64295 Darmstadt, Germany Tel: +49 6151 807-7 Fax: +49 6151 807 555 Date : 14 April 2015 http://www.eumetsat.int

More information

P1.21 GOES CLOUD DETECTION AT THE GLOBAL HYDROLOGY AND CLIMATE CENTER

P1.21 GOES CLOUD DETECTION AT THE GLOBAL HYDROLOGY AND CLIMATE CENTER P1.21 GOES CLOUD DETECTION AT THE GLOBAL HYDROLOGY AND CLIMATE CENTER Gary J. Jedlovec* NASA/MSFC/Global Hydrology and Climate Center National Space Science and Technology Center Huntsville, Alabama and

More information

SOLAR IRRADIANCE FORECASTING, BENCHMARKING of DIFFERENT TECHNIQUES and APPLICATIONS of ENERGY METEOROLOGY

SOLAR IRRADIANCE FORECASTING, BENCHMARKING of DIFFERENT TECHNIQUES and APPLICATIONS of ENERGY METEOROLOGY SOLAR IRRADIANCE FORECASTING, BENCHMARKING of DIFFERENT TECHNIQUES and APPLICATIONS of ENERGY METEOROLOGY Wolfgang Traunmüller 1 * and Gerald Steinmaurer 2 1 BLUE SKY Wetteranalysen, 4800 Attnang-Puchheim,

More information

Nowcasting applications. putsay.m@met.hu Hungarian Meteorological Service

Nowcasting applications. putsay.m@met.hu Hungarian Meteorological Service Nowcasting applications Putsay Mária, M putsay.m@met.hu Hungarian Meteorological Service Principles of Satellite Meteorology, Online Course, 20 September 2011 Outlines Satellite images Derived products

More information

Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon

Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon Supporting Online Material for Koren et al. Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon 1. MODIS new cloud detection algorithm The operational

More information

8B.6 A DETAILED ANALYSIS OF SPC HIGH RISK OUTLOOKS, 2003-2009

8B.6 A DETAILED ANALYSIS OF SPC HIGH RISK OUTLOOKS, 2003-2009 8B.6 A DETAILED ANALYSIS OF SPC HIGH RISK OUTLOOKS, 2003-2009 Jason M. Davis*, Andrew R. Dean 2, and Jared L. Guyer 2 Valparaiso University, Valparaiso, IN 2 NOAA/NWS Storm Prediction Center, Norman, OK.

More information

Best practices for RGB compositing of multi-spectral imagery

Best practices for RGB compositing of multi-spectral imagery Best practices for RGB compositing of multi-spectral imagery User Service Division, EUMETSAT Introduction Until recently imagers on geostationary satellites were limited to 2-3 spectral channels, i.e.

More information

Regional Forecast Center Timişoara 15. Gh. Adam St., Timişoara, Romania, e-mail: cristi_nichita2004@yahoo.com

Regional Forecast Center Timişoara 15. Gh. Adam St., Timişoara, Romania, e-mail: cristi_nichita2004@yahoo.com Analele UniversităŃii din Oradea Seria Geografie Tom XX, no. 2/2010 (December), pp 197-203 ISSN 1221-1273, E-ISSN 2065-3409 Article no. 202106-492 SOME DOPPLER RADAR FEATURES OF SEVERE WEATHER IN SUPERCELLS

More information

Estimating Firn Emissivity, from 1994 to1998, at the Ski Hi Automatic Weather Station on the West Antarctic Ice Sheet Using Passive Microwave Data

Estimating Firn Emissivity, from 1994 to1998, at the Ski Hi Automatic Weather Station on the West Antarctic Ice Sheet Using Passive Microwave Data Estimating Firn Emissivity, from 1994 to1998, at the Ski Hi Automatic Weather Station on the West Antarctic Ice Sheet Using Passive Microwave Data Mentor: Dr. Malcolm LeCompte Elizabeth City State University

More information

Project Title: Quantifying Uncertainties of High-Resolution WRF Modeling on Downslope Wind Forecasts in the Las Vegas Valley

Project Title: Quantifying Uncertainties of High-Resolution WRF Modeling on Downslope Wind Forecasts in the Las Vegas Valley University: Florida Institute of Technology Name of University Researcher Preparing Report: Sen Chiao NWS Office: Las Vegas Name of NWS Researcher Preparing Report: Stanley Czyzyk Type of Project (Partners

More information

RAPIDS Operational Blending of Nowcasting and NWP QPF

RAPIDS Operational Blending of Nowcasting and NWP QPF RAPIDS Operational Blending of Nowcasting and NWP QPF Wai-kin Wong and Edwin ST Lai Hong Kong Observatory The Second International Symposium on Quantitative Precipitation Forecasting and Hydrology 5-8

More information

Partnership to Improve Solar Power Forecasting

Partnership to Improve Solar Power Forecasting Partnership to Improve Solar Power Forecasting Venue: EUPVSEC, Paris France Presenter: Dr. Manajit Sengupta Date: October 1 st 2013 NREL is a national laboratory of the U.S. Department of Energy, Office

More information

Operational Mesoscale NWP at the Japan Meteorological Agency. Tabito HARA Numerical Prediction Division Japan Meteorological Agency

Operational Mesoscale NWP at the Japan Meteorological Agency. Tabito HARA Numerical Prediction Division Japan Meteorological Agency Operational Mesoscale NWP at the Japan Meteorological Agency Tabito HARA Numerical Prediction Division Japan Meteorological Agency NWP at JMA JMA has been operating two NWP models. GSM (Global Spectral

More information

Improved diagnosis of low-level cloud from MSG SEVIRI data for assimilation into Met Office limited area models

Improved diagnosis of low-level cloud from MSG SEVIRI data for assimilation into Met Office limited area models Improved diagnosis of low-level cloud from MSG SEVIRI data for assimilation into Met Office limited area models Peter N. Francis, James A. Hocking & Roger W. Saunders Met Office, Exeter, U.K. Abstract

More information

Severe Weather & Hazards Related Research at CREST

Severe Weather & Hazards Related Research at CREST Severe Weather & Hazards Related Research at CREST (Lead Scientists) Z. Johnny Luo, Nir Krakauer, Shayesteh Mahani, Fabrice Papa, Marouane Temimi and Brian Vant Hull (NOAA Collaborators) Arnold Gruber,

More information

NOWCASTING OF PRECIPITATION Isztar Zawadzki* McGill University, Montreal, Canada

NOWCASTING OF PRECIPITATION Isztar Zawadzki* McGill University, Montreal, Canada NOWCASTING OF PRECIPITATION Isztar Zawadzki* McGill University, Montreal, Canada 1. INTRODUCTION Short-term methods of precipitation nowcasting range from the simple use of regional numerical forecasts

More information

Outline. Jet Streams I (without the math) Definitions. Polar Jet Stream. Polar Jet Stream

Outline. Jet Streams I (without the math) Definitions. Polar Jet Stream. Polar Jet Stream Jet Streams I (without the math) Outline A few definitions, types, etc Thermal wind and the polar jet Ageostrophic circulations, entrance and exit regions Coupled Jets Definitions Jet Stream An intense,

More information

The GFS weather model

The GFS weather model The GFS weather model The Global Forecast System (GFS) is a numerical weather model of the National Weather Service and the National Oceanic and Atmospheric Administration (NOAA), USA. A numerical weather

More information

SATELLITE IMAGES IN ENVIRONMENTAL DATA PROCESSING

SATELLITE IMAGES IN ENVIRONMENTAL DATA PROCESSING SATELLITE IMAGES IN ENVIRONMENTAL DATA PROCESSING Magdaléna Kolínová Aleš Procházka Martin Slavík Prague Institute of Chemical Technology Department of Computing and Control Engineering Technická 95, 66

More information

Nowcasting of significant convection by application of cloud tracking algorithm to satellite and radar images

Nowcasting of significant convection by application of cloud tracking algorithm to satellite and radar images Nowcasting of significant convection by application of cloud tracking algorithm to satellite and radar images Ng Ka Ho, Hong Kong Observatory, Hong Kong Abstract Automated forecast of significant convection

More information

WMO 7 International Workshop on Volcanic Ash, Anchorage, AK

WMO 7 International Workshop on Volcanic Ash, Anchorage, AK An algorithm for automated cloud pattern recognition and mass eruption rate estimation from umbrella cloud or downwind plume observed via satellite imagery 1 WMO 7 International Workshop on Volcanic Ash,

More information

7.05 SEVERE WEATHER ANALYSIS AND FORECASTING WITH THE INTEGRATION OF LIGHTNING, RADAR AND SATELLITE INFORMATION IN OPERATIONAL CENTER IN BRAZIL

7.05 SEVERE WEATHER ANALYSIS AND FORECASTING WITH THE INTEGRATION OF LIGHTNING, RADAR AND SATELLITE INFORMATION IN OPERATIONAL CENTER IN BRAZIL 7.05 SEVERE WEATHER ANALYSIS AND FORECASTING WITH THE INTEGRATION OF LIGHTNING, RADAR AND SATELLITE INFORMATION IN OPERATIONAL CENTER IN BRAZIL Cesar Beneti¹* Leonardo Calvetti¹ Marco Jusevicius¹ Augusto

More information

DRI Workshop-2007. R. L. Raddatz U of Winnipeg

DRI Workshop-2007. R. L. Raddatz U of Winnipeg DRI Workshop-2007 R. L. Raddatz U of Winnipeg Raddatz,R.L, 2005. Moisture recycling on the Canadian Prairies for summer droughts and pluvials from 1997 to 2003. Agricultural and Forest Meteorology, 131,

More information

IMPACT OF SAINT LOUIS UNIVERSITY-AMERENUE QUANTUM WEATHER PROJECT MESONET DATA ON WRF-ARW FORECASTS

IMPACT OF SAINT LOUIS UNIVERSITY-AMERENUE QUANTUM WEATHER PROJECT MESONET DATA ON WRF-ARW FORECASTS IMPACT OF SAINT LOUIS UNIVERSITY-AMERENUE QUANTUM WEATHER PROJECT MESONET DATA ON WRF-ARW FORECASTS M. J. Mueller, R. W. Pasken, W. Dannevik, T. P. Eichler Saint Louis University Department of Earth and

More information

USING THE GOES 3.9 µm SHORTWAVE INFRARED CHANNEL TO TRACK LOW-LEVEL CLOUD-DRIFT WINDS ABSTRACT

USING THE GOES 3.9 µm SHORTWAVE INFRARED CHANNEL TO TRACK LOW-LEVEL CLOUD-DRIFT WINDS ABSTRACT USING THE GOES 3.9 µm SHORTWAVE INFRARED CHANNEL TO TRACK LOW-LEVEL CLOUD-DRIFT WINDS Jason P. Dunion 1 and Christopher S. Velden 2 1 NOAA/AOML/Hurricane Research Division, 2 UW/CIMSS ABSTRACT Low-level

More information

163 ANALYSIS OF THE URBAN HEAT ISLAND EFFECT COMPARISON OF GROUND-BASED AND REMOTELY SENSED TEMPERATURE OBSERVATIONS

163 ANALYSIS OF THE URBAN HEAT ISLAND EFFECT COMPARISON OF GROUND-BASED AND REMOTELY SENSED TEMPERATURE OBSERVATIONS ANALYSIS OF THE URBAN HEAT ISLAND EFFECT COMPARISON OF GROUND-BASED AND REMOTELY SENSED TEMPERATURE OBSERVATIONS Rita Pongrácz *, Judit Bartholy, Enikő Lelovics, Zsuzsanna Dezső Eötvös Loránd University,

More information

Development of a. Solar Generation Forecast System

Development of a. Solar Generation Forecast System ALBANY BARCELONA BANGALORE 16 December 2011 Development of a Multiple Look ahead Time Scale Solar Generation Forecast System John Zack Glenn Van Knowe Marie Schnitzer Jeff Freedman AWS Truepower, LLC Albany,

More information

NCDC s SATELLITE DATA, PRODUCTS, and SERVICES

NCDC s SATELLITE DATA, PRODUCTS, and SERVICES **** NCDC s SATELLITE DATA, PRODUCTS, and SERVICES Satellite data and derived products from NOAA s satellite systems are available through the National Climatic Data Center. The two primary systems are

More information

EVALUATING SOLAR ENERGY PLANTS TO SUPPORT INVESTMENT DECISIONS

EVALUATING SOLAR ENERGY PLANTS TO SUPPORT INVESTMENT DECISIONS EVALUATING SOLAR ENERGY PLANTS TO SUPPORT INVESTMENT DECISIONS Author Marie Schnitzer Director of Solar Services Published for AWS Truewind October 2009 Republished for AWS Truepower: AWS Truepower, LLC

More information

A system of direct radiation forecasting based on numerical weather predictions, satellite image and machine learning.

A system of direct radiation forecasting based on numerical weather predictions, satellite image and machine learning. A system of direct radiation forecasting based on numerical weather predictions, satellite image and machine learning. 31st Annual International Symposium on Forecasting Lourdes Ramírez Santigosa Martín

More information

IMPROVED EXTRACTION OF LOW-LEVEL ATMOSPHERIC MOTION VECTORS OVER WEST-AFRICA FROM MSG IMAGES

IMPROVED EXTRACTION OF LOW-LEVEL ATMOSPHERIC MOTION VECTORS OVER WEST-AFRICA FROM MSG IMAGES IMPROVED EXTRACTION OF LOW-LEVEL ATMOSPHERIC MOTION VECTORS OVER WEST-AFRICA FROM MSG IMAGES André Szantai and Geneviève Sèze Laboratoire de Météorologie Dynamique / IPSL Ecole Polytechnique 91128 Palaiseau,

More information

Comparative Evaluation of High Resolution Numerical Weather Prediction Models COSMO-WRF

Comparative Evaluation of High Resolution Numerical Weather Prediction Models COSMO-WRF 3 Working Group on Verification and Case Studies 56 Comparative Evaluation of High Resolution Numerical Weather Prediction Models COSMO-WRF Bogdan Alexandru MACO, Mihaela BOGDAN, Amalia IRIZA, Cosmin Dănuţ

More information

SIXTH GRADE WEATHER 1 WEEK LESSON PLANS AND ACTIVITIES

SIXTH GRADE WEATHER 1 WEEK LESSON PLANS AND ACTIVITIES SIXTH GRADE WEATHER 1 WEEK LESSON PLANS AND ACTIVITIES WATER CYCLE OVERVIEW OF SIXTH GRADE WATER WEEK 1. PRE: Evaluating components of the water cycle. LAB: Experimenting with porosity and permeability.

More information

SYNERGISTIC USE OF IMAGER WINDOW OBSERVATIONS FOR CLOUD- CLEARING OF SOUNDER OBSERVATION FOR INSAT-3D

SYNERGISTIC USE OF IMAGER WINDOW OBSERVATIONS FOR CLOUD- CLEARING OF SOUNDER OBSERVATION FOR INSAT-3D SYNERGISTIC USE OF IMAGER WINDOW OBSERVATIONS FOR CLOUD- CLEARING OF SOUNDER OBSERVATION FOR INSAT-3D ABSTRACT: Jyotirmayee Satapathy*, P.K. Thapliyal, M.V. Shukla, C. M. Kishtawal Atmospheric and Oceanic

More information

Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations

Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations S. C. Xie, R. T. Cederwall, and J. J. Yio Lawrence Livermore National Laboratory Livermore, California M. H. Zhang

More information

Satellite Imagery Interpretation

Satellite Imagery Interpretation Satellite Types 1. Polar Orbiter (POES) 2. Geosynchronous Orbiters Geostationary Operational Env. Satellite (GOES) GMS EUMETSAT Image Types Garp 1. Visible: radiation reflected by objects 4km/0.65 2. Infrared:

More information

Georgia Performance Standards: Science Grades Frames. Frames Tasks

Georgia Performance Standards: Science Grades Frames. Frames Tasks How to read the Frames Standards Correlations The Frames Standards Correlations include information on how you and your students can use Frames to meet your curriculum and technology standards. Since you

More information

AMVs at the Met Office: activities to improve their impact in NWP

AMVs at the Met Office: activities to improve their impact in NWP AMVs at the Met Office: activities to improve their impact in NWP James Cotton, Mary Forsythe Met Office, FitzRoy Road, Exeter EX1 3PB, UK Abstract Atmospheric motion vectors (AMVs) are an important source

More information

LANDSAT 8 Level 1 Product Performance

LANDSAT 8 Level 1 Product Performance Réf: IDEAS-TN-10-QualityReport LANDSAT 8 Level 1 Product Performance Quality Report Month/Year: January 2016 Date: 26/01/2016 Issue/Rev:1/9 1. Scope of this document On May 30, 2013, data from the Landsat

More information

ECMWF Aerosol and Cloud Detection Software. User Guide. version 1.2 20/01/2015. Reima Eresmaa ECMWF

ECMWF Aerosol and Cloud Detection Software. User Guide. version 1.2 20/01/2015. Reima Eresmaa ECMWF ECMWF Aerosol and Cloud User Guide version 1.2 20/01/2015 Reima Eresmaa ECMWF This documentation was developed within the context of the EUMETSAT Satellite Application Facility on Numerical Weather Prediction

More information

Traffic Monitoring Systems. Technology and sensors

Traffic Monitoring Systems. Technology and sensors Traffic Monitoring Systems Technology and sensors Technology Inductive loops Cameras Lidar/Ladar and laser Radar GPS etc Inductive loops Inductive loops signals Inductive loop sensor The inductance signal

More information

Mesoscale Convective System Rainfall in the Sahel

Mesoscale Convective System Rainfall in the Sahel NOVEMBER 22 MATHON ET AL. 181 Mesoscale Convective System Rainfall in the Sahel VINCENT MATHON, HENRI LAURENT, AND THIERRY LEBEL LTHE, IRD, Grenoble, France (Manuscript received 15 June 21, in final form

More information

Big Data Assimilation Revolutionizing Weather Prediction

Big Data Assimilation Revolutionizing Weather Prediction February 23, 2015, ISDA2015, Kobe Big Data Assimilation Revolutionizing Weather Prediction M. Kunii, J. Ruiz, G.-Y. Lien, K. Kondo, S. Otsuka, Y. Maejima, and Takemasa Miyoshi* RIKEN Advanced Institute

More information

Solarstromprognosen für Übertragungsnetzbetreiber

Solarstromprognosen für Übertragungsnetzbetreiber Solarstromprognosen für Übertragungsnetzbetreiber Elke Lorenz, Jan Kühnert, Annette Hammer, Detlev Heienmann Universität Oldenburg 1 Outline grid integration of photovoltaic power (PV) in Germany overview

More information

Rain prediction from meteoradar images

Rain prediction from meteoradar images 2015 http://excel.fit.vutbr.cz Rain prediction from meteoradar images Michael Vlček t + 1 t + 2... t - 2 t - 1 t t - 3... input layer hidden layers output layer Abstract This paper presents a software

More information

Environmental Remote Sensing GEOG 2021

Environmental Remote Sensing GEOG 2021 Environmental Remote Sensing GEOG 2021 Lecture 4 Image classification 2 Purpose categorising data data abstraction / simplification data interpretation mapping for land cover mapping use land cover class

More information

NOWCASTING CONVECTIVE INITIATION AND THUNDERSTORM CHARACTERISTICS THROUGH THE USE OF REAL-TIME GEOSTATIONARY SATELLITE INFORMATION

NOWCASTING CONVECTIVE INITIATION AND THUNDERSTORM CHARACTERISTICS THROUGH THE USE OF REAL-TIME GEOSTATIONARY SATELLITE INFORMATION NOWCASTING CONVECTIVE INITIATION AND THUNDERSTORM CHARACTERISTICS THROUGH THE USE OF REAL-TIME GEOSTATIONARY SATELLITE INFORMATION K. M. Bedka 1 and J. M. Mecikalski 2 1 University of Wisconsin-Madison

More information

An Introduction to the MTG-IRS Mission

An Introduction to the MTG-IRS Mission An Introduction to the MTG-IRS Mission Stefano Gigli, EUMETSAT IRS-NWC Workshop, Eumetsat HQ, 25-0713 Summary 1. Products and Performance 2. Design Overview 3. L1 Data Organisation 2 Part 1 1. Products

More information

Temporal variation in snow cover over sea ice in Antarctica using AMSR-E data product

Temporal variation in snow cover over sea ice in Antarctica using AMSR-E data product Temporal variation in snow cover over sea ice in Antarctica using AMSR-E data product Michael J. Lewis Ph.D. Student, Department of Earth and Environmental Science University of Texas at San Antonio ABSTRACT

More information

Preliminary summary of the 2015 NEWS- e realtime forecast experiment

Preliminary summary of the 2015 NEWS- e realtime forecast experiment Preliminary summary of the 2015 NEWS- e realtime forecast experiment December 15, 2015 1. Introduction The NOAA Warn- on- Forecast (WoF) research project is tasked with developing a regional 1- km storm-

More information

Options for filling the LEO-GEO AMV Coverage Gap Francis Warrick Met Office, UK

Options for filling the LEO-GEO AMV Coverage Gap Francis Warrick Met Office, UK AMV investigation Document NWPSAF-MO-TR- Version. // Options for filling the LEO-GEO AMV Coverage Gap Francis Warrick Met Office, UK Options for filling the LEO-GEO AMV Coverage Gap Doc ID : NWPSAF-MO-TR-

More information

SEA START Climate Change Analysis Tool v1.1

SEA START Climate Change Analysis Tool v1.1 SEA START Climate Change Analysis Tool v1.1 SEA START RC has developed tool to aid data analysis for the future climate data which is downloaded from Climate Data Distribution System (http://cc.start.or.th).

More information

Rainfall Retrieval and Nowcasting Based on Multispectral Satellite Images. Part I: Retrieval Study on Daytime 10-Minute Rain Rate

Rainfall Retrieval and Nowcasting Based on Multispectral Satellite Images. Part I: Retrieval Study on Daytime 10-Minute Rain Rate DECEMBER 2011 Z HUGE ET AL. 1255 Rainfall Retrieval and Nowcasting Based on Multispectral Satellite Images. Part I: Retrieval Study on Daytime 10-Minute Rain Rate XIAO-YONG ZHUGE AND FAN YU School of Atmospheric

More information

MiSeq: Imaging and Base Calling

MiSeq: Imaging and Base Calling MiSeq: Imaging and Page Welcome Navigation Presenter Introduction MiSeq Sequencing Workflow Narration Welcome to MiSeq: Imaging and. This course takes 35 minutes to complete. Click Next to continue. Please

More information

Slide preparation summary

Slide preparation summary Slide preparation summary The sample production protocol is similar to normal DAPI staining with an additional RNAse treatment. A typical protocol would be: 1. 3 PBS wash 2. Settle on slides 3. Fix with

More information

1 In this report, "tropical cyclone (TC)" is used as a generic term that includes "low pressure area (LPA)", "tropical depression

1 In this report, tropical cyclone (TC) is used as a generic term that includes low pressure area (LPA), tropical depression Comparative Study on Organized Convective Cloud Systems detected through Early Stage Dvorak Analysis and Tropical Cyclones in Early Developing Stage in the Western North Pacific and the South China Sea

More information

Synoptic assessment of AMV errors

Synoptic assessment of AMV errors NWP SAF Satellite Application Facility for Numerical Weather Prediction Visiting Scientist mission report Document NWPSAF-MO-VS-038 Version 1.0 4 June 2009 Synoptic assessment of AMV errors Renato Galante

More information

A Real Case Study of Using Cloud Analysis in Grid-point Statistical Interpolation Analysis and Advanced Research WRF Forecast System

A Real Case Study of Using Cloud Analysis in Grid-point Statistical Interpolation Analysis and Advanced Research WRF Forecast System A Real Case Study of Using Cloud Analysis in Grid-point Statistical Interpolation Analysis and Advanced Research WRF Forecast System Ming Hu 1 and Ming Xue 1, 1 Center for Analysis and Prediction of Storms,

More information

GOES-R Product Training Document

GOES-R Product Training Document GOES-R Product Training Document for the GOES-R Proving Ground Aviation Weather Testbed 2012 Summer Experiment Chad Gravelle (UW-CIMSS / NWS PG) Amanda Terborg (UW-CIMSS / AWC) With contributions by: Bob

More information

McIDAS-V Tutorial Displaying Polar Satellite Imagery updated September 2015 (software version 1.5)

McIDAS-V Tutorial Displaying Polar Satellite Imagery updated September 2015 (software version 1.5) McIDAS-V Tutorial Displaying Polar Satellite Imagery updated September 2015 (software version 1.5) McIDAS-V is a free, open source, visualization and data analysis software package that is the next generation

More information

MSG MPEF Products focus on GII Simon Elliott Meteorological Operations Division simon.elliott@eumetsat.int

MSG MPEF Products focus on GII Simon Elliott Meteorological Operations Division simon.elliott@eumetsat.int MSG MPEF focus on GII Simon Elliott Meteorological Operations Division simon.elliott@eumetsat.int MSG Application Workshop, 15-19 March 2010, Alanya, Türkiye Slide: 1 1. What is the MPEF? Meteorological

More information

Wind resources map of Spain at mesoscale. Methodology and validation

Wind resources map of Spain at mesoscale. Methodology and validation Wind resources map of Spain at mesoscale. Methodology and validation Martín Gastón Edurne Pascal Laura Frías Ignacio Martí Uxue Irigoyen Elena Cantero Sergio Lozano Yolanda Loureiro e-mail:mgaston@cener.com

More information

Authors and Affiliations Kristopher Bedka 1, Cecilia Wang 1, Ryan Rogers 2, Larry Carey 2, Wayne Feltz 3, and Jan Kanak 4

Authors and Affiliations Kristopher Bedka 1, Cecilia Wang 1, Ryan Rogers 2, Larry Carey 2, Wayne Feltz 3, and Jan Kanak 4 1. Title Slide Title: Analysis of the Co-Evolution of Total Lightning, Ground-Based Radar-Derived Fields, and GOES-14 1-Minute Super Rapid Scan Satellite Observations of Deep Convective Cloud Tops Authors

More information

Convection permitting models setting the scene

Convection permitting models setting the scene Convection permitting models setting the scene Nigel Roberts MetOffice@Reading The elephant in the corner convective storms Hand et al 2004 examined UK 20 th century extreme flood events and found that

More information

Small-Scale Cloud Activity over the Maritime Continent and the Western Pacific as Revealed by Satellite Data

Small-Scale Cloud Activity over the Maritime Continent and the Western Pacific as Revealed by Satellite Data VOLUME 134 M O N T H L Y W E A T H E R R E V I E W JUNE 2006 Small-Scale Cloud Activity over the Maritime Continent and the Western Pacific as Revealed by Satellite Data YOSHIMI KONDO Rikkyo Niiza Junior

More information

Assimilation of cloudy infrared satellite observations: The Met Office perspective

Assimilation of cloudy infrared satellite observations: The Met Office perspective Assimilation of cloudy infrared satellite observations: The Met Office perspective Ed Pavelin, Met Office International Symposium on Data Assimilation 2014, Munich Contents This presentation covers the

More information

WxFUSION. A. Tafferner. Folie 1. iport Meeting 13.10.2010 @ DLR OP

WxFUSION. A. Tafferner. Folie 1. iport Meeting 13.10.2010 @ DLR OP WxFUSION A. Tafferner iport Meeting 13.10.2010 @ DLR OP Folie 1 Upper Danube Catchment MUC DLR Andechs Munich Vienna Folie 2 Local and propagating thunderstorms in the Upper Danube Catchment B. Barternschlager,

More information

Environmental Monitoring of Lake Michigan Using CoastWatch Data and JAVA GIS

Environmental Monitoring of Lake Michigan Using CoastWatch Data and JAVA GIS Environmental Monitoring of Lake Michigan Using CoastWatch Data and JAVA GIS Page 1 of 12 Environmental Monitoring of Lake Michigan Using CoastWatch Data and JAVA GIS George A. Leshkevich and Songzhi Liu

More information

Development of an Integrated Data Product for Hawaii Climate

Development of an Integrated Data Product for Hawaii Climate Development of an Integrated Data Product for Hawaii Climate Jan Hafner, Shang-Ping Xie (PI)(IPRC/SOEST U. of Hawaii) Yi-Leng Chen (Co-I) (Meteorology Dept. Univ. of Hawaii) contribution Georgette Holmes

More information

Interactive simulation of an ash cloud of the volcano Grímsvötn

Interactive simulation of an ash cloud of the volcano Grímsvötn Interactive simulation of an ash cloud of the volcano Grímsvötn 1 MATHEMATICAL BACKGROUND Simulating flows in the atmosphere, being part of CFD, is on of the research areas considered in the working group

More information