GOES-R for the Americas Luiz A. T. Machado INPE-CPTEC

Slides:

Advertisements

Similar presentations

SPoRT Products in Support of the GOES-R Proving Ground and NWS Forecast Operations Andrew Molthan NASA Short-term Prediction Research and Transition (SPoRT)

Advertisements

SPoRT Activities in Support of the GOES-R and JPSS Proving Grounds Andrew L. Molthan, Kevin K. Fuell, and Geoffrey T. Stano NASA Short-term Prediction.

Future Radar and Satellite Technology Daniel C. Miller National Weather Service Columbia, SC.

Overview of GOES and MTSAT Platforms: Fire Monitoring Characteristics

Calibration of GOES-R ABI cloud products and TRMM/GPM observations to ground-based radar rainfall estimates for the MRMS system – Status and future plans.

1 6th GOES Users' Conference, Madison, Wisconsin, Nov 3-5 WMO Activities and Plans for Geostationary and Highly Elliptical Orbit Satellites Jérôme Lafeuille.

TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.

Convective Initiation Studies at UW-CIMSS K. Bedka (SSAI/NASA LaRC), W. Feltz (UW-CIMSS), J. Sieglaff (UW-CIMSS), L. Cronce (UW-CIMSS) Objectives Develop.

Rudolph Williams Jr. Hydrologist Hydrology Unit National Meteorological Service - Belize LIMA Water Cycle Capacity Building Workshop November 30 – December.

A short term rainfall prediction algorithm Nazario D. Ramirez and Joan Manuel Castro University of Puerto Rico NOAA Collaborator: Robert J. Kuligowski.

UW-CIMSS/UAH MSG SEVIRI Convection Diagnostic and Nowcasting Products Wayne F. Feltz 1, Kristopher M. Bedka 1, and John R. Mecikalski 2 1 Cooperative Institute.

Satellites and Radar – A primer ATMO 203. Satellites Two main types of satellite orbits – Geostationary Earth Orbiting Satellite is 35,786 km (22,236.

Geostationary Lightning Mapper (GLM) 1 Near uniform spatial resolution of approximately 10 km. Coverage up to 52 deg latitude % flash detection day.

Image Interpretation for Weather Analysis Part I 21 October 2010 Dr. Steve Decker.

Satellite Imagery Meteorology 101 Lab 9 December 1, 2009.

Image Interpretation for Weather Analysis Part I 11 November 2008 Dr. Steve Decker.

Fire Detection using Geostationary and Polar Orbiting Satellites Dr. Bernadette Connell CIRA/CSU/RAMMT Dr. Vilma Castro UCR/RMTC March 2005.

Division of Satellites and Environmental Systems Applications of GOES-SA (South America)

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Wind and Solar Energy Estimation.

Transitioning unique NASA data and research technologies to operations GOES-R Proving Grounds Fifth Meeting of the Science Advisory Committee November,

The TIROS Program (Television Infrared Observation Satellite) was NASA's first experimental step to determine if satellites could be useful in the study.

The Lightning Warning Product Fifth Meeting of the Science Advisory Committee November, 2009 Dennis Buechler Geoffrey Stano Richard Blakeslee transitioning.

Coordination Group for Meteorological Satellites - CGMS NOAA Response to Action Presented to CGMS-41 plenary session.

UNCLASSIFIED Navy Applications of GOES-R Richard Crout, PhD Naval Meteorology and Oceanography Command Satellite Programs Presented to 3rd GOES-R Conference.

Overshooting Convective Cloud Top Detection A GOES-R Future Capability Product GOES-East (-8/-12/-13) OT Detections at Full Spatial and Temporal.

GOES-R Risk Reduction New Initiative: Storm Severity Index Wayne M. MacKenzie John R. Mecikalski John R. Walker University of Alabama in Huntsville.

1 The GOES-R Rainfall Rate / QPE Algorithm Status May 1, 2011 Presented By: Bob Kuligowski NOAA/NESDIS/STAR.

SATELLITE METEOROLOGY BASICS satellite orbits EM spectrum

US BENEFITS. It Addresses Priorities The US and Canada have common scientific, economic and strategic interests in arctic observing: marine and air transportation.

Investigating the use of Deep Convective Clouds (DCCs) to monitor on-orbit performance of the Geostationary Lightning Mapper (GLM) using Lightning Imaging.

2015 AMS Annual Meeting Non Export-Controlled Information Progress in Development and Integration of the Product Generation Capabilities of the GOES- R.

2015 OCONUS Meeting Non Export-Controlled Information Progress in Development and Integration of the Product Generation Capabilities of the GOES-R Ground.

Improvements of the Geostationary Operational Environmental Satellites (GOES)-R series for Climate Applications GOES-R data and products will support applications.

The WMO Space Programme

Hyperspectral Infrared Alone Cloudy Sounding Algorithm Development Objective and Summary To prepare for the synergistic use of data from the high-temporal.

The Rapid Developing Thunderstorm (RDT) product CDOP to CDOP2

Applications Of A Satellite-Based Objective Overshooting Convective Cloud Top Detection Product Kristopher Bedka 1, C. Wang 1, P. Minnis 2, R. Dworak 3,

J. Eric Madsen International Relations Specialist National Oceanic and Atmospheric Administration (NOAA) July, 2006 Global Earth Observation System of.

High impact weather studies with advanced IR sounder data Jun Li Cooperative Institute for Meteorological Satellite Studies (CIMSS),

Transitioning research data to the operational weather community Overview of GOES-R Proving Ground Activities at the Short-term Prediction Research and.

R. T. Pinker, H. Wang, R. Hollmann, and H. Gadhavi Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland Use of.

Studies of Advanced Baseline Sounder (ABS) for Future GOES Jun Li + Timothy J. Allen Huang+ W. +CIMSS, UW-Madison.

Mary Beth, Zach, Landris. The Geostationary Satellite system (GOES) supports weather forecasting, severe storm tracking, and meteorology research. The.

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

Satellite Precipitation Estimation and Nowcasting Plans for the GOES-R Era Robert J. Kuligowski NOAA/NESDIS Center for Satellite Applications and Research.

Developers: John Walker, Chris Jewett, John Mecikalski, Lori Schultz Convective Initiation (CI) GOES-R Proxy Algorithm University of Alabama in Huntsville.

Presentation on 2006 GOES-R Conference Wenjian ZHANG ， Jun YANG, CMA/CHINA 1 The current and future Chinese Geostationary Meteorological Satellite Systems.

Blended Sea Surface Temperature EnhancementsPolar Winds Blended Hydrometeorological Products Blended Total Ozone Products are derived by tracking cloud.

Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.

An Overview of Satellite Rainfall Estimation for Flash Flood Monitoring Timothy Love NOAA Climate Prediction Center with USAID- FEWS-NET, MFEWS, AFN Presented.

What does it cover? This session addresses “Why?”, “When?”, and “What Sensors?” will be on GOES- R, and presents examples of what to expect. If is a look.

GEO and HEO weather satellites: natural partners Sixth GOES User’s Conference Madison, WI November 3-5, 2009 Louis Garand (EC) and PCW U&ST.

HWT Experimental Warning Program: History & Successes Darrel Kingfield (CIMMS) February 25–27, 2015 National Weather Center Norman, Oklahoma.

Overview of Climate Observational Requirements for GOES-R Herbert Jacobowitz Short & Associates, Inc.

The National Weather Service Goes Geospatial – Serving Weather Data on the Web Ken Waters Regional Scientist National Weather Service Pacific Region HQ.

Fire Products NASA ARSET-AQ Links Updated November 2013 ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Combining GOES Observations with Other Data to Improve Severe Weather Forecasts.

Hailstorm climo derived from AMSR-E Paraitinga Foz do Iguacu CHUVA - Foz do Iguacu (Nov Jan 2013) is along edge of the region with possibly the.

Quick Review - Fronts. Quick Review - Clouds Using Satellite and Radar Imagery to Find Weather Features.

5th GOES Users’ Conference, New Orleans, January 2008 Geostationary satellites in a WMO perspective Jérôme Lafeuille WMO Space Programme World Meteorological.

39 th Conference of Directors of EU Paying Agencies ESTEC, 25 May 2016 M. Drusch, Principal Scientist Earth Observation Programmes Directorate Science,

The Convective Rainfall Rate in the NWCSAF

AmeriGEOSS Week. GEONETCast. Americas and

GOES visible (or “sun-lit”) image

CHUVA Project CHUVA - Cloud processes of tHe main precipitation systems in Brazil: A contribUtion to cloud resolVing modeling and to the GPM (GlobAl Precipitation.

ASAP Convective Weather Analysis & Nowcasting

NOAA Agency Update Steve Volz, SIT Vice Chair

In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.

Satellite Meteorology

MPEF DIVergence product Interpretation scheme

Presentation transcript:

GOES-R for the Americas Luiz A. T. Machado INPE-CPTEC

Overview Dedicated GOES10/12 to South America GOES 13 images to South America New Products being developed for GOES-R  Inner cloud top dynamics  Lightning and Thunderstorm severity  Multichannel cloud classification  Cloud Tracking and nowcasting – ForTracc  Surface radiation

Dedicated GOES10/12 to South America GOES - 10 and 12 were allocated by NOAA nearby 60W to serve South America. This allows South America to have, for the first time images each 15 minutes. GOES-10 and 12 have improved significantly satellite detection of severe weather, vegetation fire, atmospheric motion vector, solar radiation, cloud classification and rainfall over South America. The satellite derived products were employed operatio nally to monitor drought for agriculture and forest fire and also to nowcast thunders torm and severe weather for flash flood warning. INPE Developed a set of products for South America using Goes-South America

Dedicated GOES10/12 to South America

GOES 13 images to South America Goes-East Routine Imager Schedule – Images each 30 minutes Image starts :45:00 – In North America Northern Extented Image ends -- 01:54:55 Image starts - 02:04:50 Southern Image ends -- 02:06:56 01:45:00 NORTHERN HEMISPHERE 09:55 01:55:09 CONTINENTAL US (CONUS) 04:37 02:00:00 CONTINENTAL US (CONUS) 04:37 02:04:50 SOUTH AMERICA CENTRAL 02:01

GOES 13 images to South America MSGSAC SAS Northern NOAA POLAR ORBIT In cooperation with Argentina will be added to fill high latitude Goes-East No Routine Operation– Images each hour

New Products being developed for GOES-R Multichannel Satellite Images Analysis

New Products being developed for GOES-R Inner cloud top dynamics IR IR 10.8 IR 10.8 WV 6.2 BTD µm – water/ice/mix phase clouds Example of the extra information obtained by the channel combination to derive winds

Situations with high level wind divergence (BTD-AMV) tends to have BT decrease in the near future Negri, Machado and Borde, IJRS, 2014 New Products being developed for GOES-R Inner cloud top dynamics

New Products being developed for GOES-R CHUVA Project and the GLM Vale Campaign GOES-R Geostationary Lightning Mapper (GLM): Pre-Launch Algorithm Validation-CHUVA Campaign Report Machado et al., 2014, BAMS

Mattos, Machado and Williams- Submitted to JAS X-Band Radar Signatures Related to the Frequency of Lightning Activity New Products being developed for GOES-R Lightning and Thunderstorm severity

New Products being developed for GOES-R Probability of Lighting using multichannel Machado et al., Atmos Res., 2008 and Mattos and Machado, Atmos Res., 2011

Lima and Machado, IJRS, 2013 New Products being developed for GOES-R Cloud Classification Using Multichannel TRMM and MSG

New Products being developed for GOES-R Cloud Tracking and Nowcasting – The ForTracc

GOES13 VIS ImageDaily mean Irradiance GL 1.2 New Products being developed for GOES-R Assessing shortwave solar radiation (UV-VIS and Global) G-STAR – DSA-CPTEC-INPE

New Products being developed for GOES-R Assessing shortwave solar radiation (UV-VIS and Global) Perspectives of GOES-R ABI Anthony Porfirio, Juan Ceballos PhD student

Summary New era in satellite meteorology will start with GOES-R The Region needs to be prepared to fully explore this great potential Several products and researches are being developed that can be useful to the program Regional products, product validation and high resolution sectors or products can prepared to reach the needs of the Region through a cooperation between NOAA and regional partner

Thank you GOES-R will change the Meteorology in South America