Data Distribution/dissemination Method

Slides:



Advertisements
Similar presentations
Overview of GOES and MTSAT Platforms: Fire Monitoring Characteristics
Advertisements

Contents • What will Himawari-8/9 bring to us? • Development of Products • Preparation of launch and operation of Himawari-8 • Data Dissemination.
Cloud Product. HIMAWARI-8/9 CLOUD, VOLCANIC ASH AND DUST PRODUCTS In Response to Action CGMS-41 / JMA-WP-06.
Bill Ward/Michael Folmer Himawari Satellite Training Leads Himawari Training Plan NOAA Satellite Proving Ground/User-Readiness 2014 Meeting Kansas City,
Japan Meteorological Agency, July 2013 Coordination Group for Meteorological Satellites - CGMS.
1 GOES Users’ Conference October 1, 2002 GOES Users’ Conference October 1, 2002 John (Jack) J. Kelly, Jr. National Weather Service Infusion of Satellite.
Himawari-8 Project Plans and Status. Background 2 NESDIS is implementing a capability to ingest Advanced Himawari Imager data from JMA, process and generate.
Processing Himawari-8 Geostationary Satellite Data Using GOES-R Algorithms for Algorithm Continuity in Operations Jonathan Wrotny1, A. Li1, H. Xie1, M.
Polar Communications & Weather (PCW) Mission Aurora Borealis.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 NOAA Operational Geostationary Sea Surface Temperature Products from NOAA.
Joe Sienkiewicz 1, Michael Folmer 2 and Hugh Cobb 3 1 NOAA/NWS/NCEP/OPC 2 University of Maryland/ESSIC/CICS 3 NOAA/NWS/NCEP/NHC/ Tropical Analysis and.
Motivation Many GOES products are not directly used in NWP but may help in diagnosing problems in forecasted fields. One example is the GOES cloud classification.
H-8 Project Update COPC May 27, H-8 Project Update JMA planning for full H-8 operations in July 2015 – Commissioning progressing well Data quality.
1 Tropical cyclone (TC) trajectory and storm precipitation forecast improvement using SFOV AIRS soundings Jun Tim Schmit &, Hui Liu #, Jinlong Li.
N A T I O N A L O C E A N I C A N D A T M O S P H E R I C A D M I N I S T R A T I O N NOAA/NESDIS Himawari 8 TeamAug NOAA/NESDIS Himawari-8/9 Planning.
Himawari Overview Mike Johnson & Joe Zajic (NWS/OST)
UNCLASSIFIED Navy Applications of GOES-R Richard Crout, PhD Naval Meteorology and Oceanography Command Satellite Programs Presented to 3rd GOES-R Conference.
Japan Meteorological Agency, November, 2012 Coordination Group for Meteorological Satellites - CGMS Status Report on the Current and Future Satellite Systems.
Polar Communications and Weather Mission Canadian Context and Benefits.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 GOES Solar Radiation Products in Support of Renewable Energy Istvan Laszlo.
Status of the Multi-Functional Transport Satellite (MTSAT) Program Prepared for APSDEU-6, 1-3 June 2005, Seoul/Korea Akihiko Nakazono Office of International.
Régis Borde Polar Winds EUMETRAIN Polar satellite week 2012 Régis Borde
USING OF METEOSAT SECOND GENERATION HIGH RESOLUTION VISIBLE DATA FOR THE IMPOVEMENT OF THE RAPID DEVELOPPING THUNDERSTORM PRODUCT Oleksiy Kryvobok Ukrainian.
Advanced Baseline Imager (ABI) will be flown on the next generation of NOAA Geostationary Operational Environmental Satellite (GOES)-R platform. The sensor.
Algorithm and Software Development of Atmospheric Motion Vector Products for the GOES-R ABI Jaime M. Daniels 1, Wayne Bresky 2, Chris Velden 3, Iliana.
Towards Operational Satellite-based Detection and Short Term Nowcasting of Volcanic Ash* *There are research applications as well. Michael Pavolonis*,
On the Use of Geostationary Satellites for Remote Sensing in the High Latitudes Yinghui Liu 1, Jeffrey R. Key 2, Xuanji Wang 1, Tim Schmit 2, and Jun Li.
Improvements of the Geostationary Operational Environmental Satellites (GOES)-R series for Climate Applications GOES-R data and products will support applications.
Himawari‐8 Operational Data Processing and Access
January 7, 2015 Walter Wolf, Jaime Daniels, and Lihang Zhou NOAA/NESDIS, Center for Satellite Applications and Research (STAR) Shanna Sampson, Tom King,
Bill Campbell, Brian Gockel, and Jim Heil (NOAA/NWS) Marge Ripley and Jean-Jacques Bedet (NOAA/NESDIS/GOES-R) Improved Temporal Resolution GOES-R Sectorized.
High impact weather studies with advanced IR sounder data Jun Li Cooperative Institute for Meteorological Satellite Studies (CIMSS),
Studies of Advanced Baseline Sounder (ABS) for Future GOES Jun Li + Timothy J. Allen Huang+ W. +CIMSS, UW-Madison.
Satellite based instability indices for very short range forecasting of convection Estelle de Coning South African Weather Service Contributions from Marianne.
METEOSAT SECOND GENERATION FROM FIRST TO SECOND GENERATION METEOSAT
HIMAWARI 8 BRIEF COPC FALL 2015 November 5, 2015 version 1.1.
Retrieval Algorithms The derivations for each satellite consist of two steps: 1) cloud detection using a Bayesian Probabilistic Cloud Mask; and 2) application.
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.
HimawariCast Practical Training
4. GLM Algorithm Latency Testing 2. GLM Proxy Datasets Steve Goodman + others Burst Test 3. Data Error Handling Geostationary Lightning Mapper (GLM) Lightning.
KMA Proprietary Material 4 th GOES-R Users’ Conference 1 Introduction to Communication, Ocean & Meteorological Satellite Hee-Hoon Lee Korea Meteorological.
High impact weather nowcasting and short-range forecasting using advanced IR soundings Jun Li Cooperative Institute for Meteorological.
Japan Meteorological Agency, May 2014 Coordination Group for Meteorological Satellites - CGMS Volcanic ash algorithm testbed by JMA for validation and.
Volcanic Ash and Dusting Monitoring with Geostationary Satellite Yukio Kurihara (Mr.), Meteorological Satellite Center (MSC) / Japan Meteorological Agency.
- Current status of COMS AMV in KMA/NMSC E.J. CHA, H.K. JEONG, E.H. SOHN, S.J. RYU Satellite Analysis Division National Meteorological Satellite Center.
Status of JMA’s activities on Virtual Laboratory Fifth Virtual Laboratory Management Group (VLMG-5) WMO-CGMS Virtual Laboratory for Education and Training.
Japan Meteorological Agency, June 2016 Coordination Group for Meteorological Satellites - CGMS Non-Meteorological Application for Himawari-8 Presented.
Japan Meteorological Agency, June 2016 Coordination Group for Meteorological Satellites - CGMS User readiness – Himawari-8 Presented to CGMS-44 Plenary.
Japan Meteorological Agency, May 2014 Coordination Group for Meteorological Satellites - CGMS Status of Himawari-8/9 data distribution/dissemination Presented.
Japan Meteorological Agency, June 2016 Coordination Group for Meteorological Satellites - CGMS JMA Testbed for Satellite-based Volcanic Ash Products Presented.
Japan Meteorological Agency, June 2016 Coordination Group for Meteorological Satellites - CGMS JMA report on highlights and issues in dataset and products.
Japan Meteorological Agency, June 2016 Coordination Group for Meteorological Satellites - CGMS Japan Meteorological Agency JMA report on the status of.
WFO Guam (NWS/NOAA) Himawari Operations 2016 Roger Edson Science and Operations Officer, WFO Guam 2016 GOES-R/JPSS OCONUS Technical Exchange 29 June 2016.
Himawari Products for Asian Dust Monitoring by JMA Daisaku Uesawa Meteorological Satellite Center (MSC) Japan Meteorological Agency (JMA) 1 2nd Japan-Australia.
Office of Marine Prediction, Japan Meteorological Agency
Status of GISC Tokyo GISC Tokyo / JMA.
Updates on CMA Meteorological Satellite Programs
Report by Japan Meteorological Agency (JMA)
GOES-R AIT: Updating the Data Processing System with data from the Himawari-8 Geostationary Satellite Jonathan Wrotny1, A. Li1, A. Ken1, H. Xie1, M. Fan1,
AmeriGEOSS Week. GEONETCast. Americas and
USING GOES-R TO HELP MONITOR UPPER LEVEL SO2
GOES visible (or “sun-lit”) image
Geostationary Sounders
Hyperspectral Wind Retrievals Dave Santek Chris Velden CIMSS Madison, Wisconsin 5th Workshop on Hyperspectral Science 8 June 2005.
Reprocessing of Atmospheric Motion Vector for JRA-3Q at JMA/MSC
CURRENT STATUS OF ATMOSPHERIC MOTION VECTORS AT JMA
Generation of Simulated GIFTS Datasets
SCOPE-CM #10: Atmospheric Motion Vectors (AMV) and Clear/All Sky Radiances (CSR/ASR) from historical meteorological satellites in geostationary and polar.
Presentation transcript:

Data Distribution/dissemination Method 2015/07/28 An introduction of Japanese new geostationary meteorological satellite, Himawari-8

Data distribution/dissemination methods Two Ways of Himawari-8/9 Imagery Dissemination/Distribution HimawariCast via Communication Satellite Service for Everyone No Pass Code for Receiving JMA’s Baseline for Imagery Dissemination 14 bands (1 VIS and 13 IR) every 10 minutes for Full Disk Spatial Resolution is same as that of MTSAT HRIT compatible HimawariCloud via Internet Cloud Service for NMHSs with high-speed Internet access All 16 bands (3 VIS and 13 IR) Full Specification (temporal and spatial) of Imagery 2015/07/28 An introduction of Japanese new geostationary meteorological satellite, Himawari-8

Data distribution/dissemination methods Communication Satellite (CS) Himawari-8/9 HimawariCast service C-band antenna raw data HRIT files, LRIT files, SATAID files LNB CS Operator DVB-S2 receiver All imagery (full data) PC & software JMA HimawariCloud service NMHSs Users

Imagery service through MSC website Real-time JPEG imagery service through MSC website for Asia-Oceania region Providing imagery on MSC website Easy access to Himawari imagery - Processed into sectored images in JPEG format for Australia Central Asia Pacific Islands Southeast Asia and more.... on real-time basis with animation in the last 24 hours http://www.data.jma.go.jp/mscweb/data/himawari/index.html 2015/07/28 An introduction of Japanese new geostationary meteorological satellite, Himawari-8

Real-time JPEG Imagery Service through JMA/MSC Website for Asia-Oceania Region Central Asia Hi-res. Asia 2 South-east Asia 1 South-east Asia 2 Hi-res. Asia 3 Pacific Islands 1 Hi-res. Asia 1 Pacific Islands 2 South-east Asia 3 Hi-res. Asia 4 Pacific Islands 3 Pacific Islands 6 Pacific Islands 5 Pacific Islands 4 Australia New Zealand

Enhancement in Himawari-8 Geophysical Products 2015/07/28 An introduction of Japanese new geostationary meteorological satellite, Himawari-8

Level-2 DAY-1 Products from Himawari-8/9 AHI Increased Observation Spectral Bands VIS: 1 --> 3 NIR/IR : 4 --> 13 with Higher Resolution Spatial: 1km --> 0.5km for a VIS band 4km --> 2 km for IR bands Temporal: 1 hr --> 10 min for “full disk” 2.5min for limited areas ….. will Enhance Baseline DAY-1 Products, especially - Cloud Products (incl. Rapidly Developed Convective Clouds) - Atmospheric Motion Vectors (AMVs)/Clear Sky Radiances (CSRs) - Aerosol (incl. Asian Dust) / Volcanic Ash Severe Weather Monitoring Numerical Weather Prediction Environmental Monitoring 2015/07/28 An introduction of Japanese new geostationary meteorological satellite, Himawari-8

Cloud Products from Himawari-8/9 AHI Extracted Parameters: Cloud Mask, Type, Phase, and Top Height Algorithm is based on NWC-SAF*1 and NOAA/NESDIS*2 (*1) Meteo-France 2012: Algorithm Theoretical Basis Document for “Cloud Products” (CMa-PGE01v3.2, CT-PGE02 v2.2 & CTTH-PGE03 v2.2) http://www.nwcsaf.org/HD/MainNS.jsp (*2) Andrew Heidinger, 2011: ABI Cloud Mask, NOAA NESDIS CENTER for SATELLITE APPLICATIONS and RESEARCH ATBD http://www.goes-r.gov/products/baseline.html Cloud Mask Type Phase Cloud Top Height [m] 18,000 9,000 Ice Liquid Mixed Phase Cloud Clear Ocean Land Opaque Semi-transparent Fractional 2015/07/28 An introduction of Japanese new geostationary meteorological satellite, Himawari-8

Objective Cloud Analysis Information (OCAI) Basic cloud product with latitude-longitude grid in 0.05 degree. cloud mask, cloud type and cloud top height Be produced hourly Started to provide to NMHSs, e.g. Indonesia and Myanmar, in response to requests. Cloud Mask Cloud Top Height Clear Cloud Mixed 2015/07/28 An introduction of Japanese new geostationary meteorological satellite, Himawari-8

Improvement in Atmospheric Motion Vectors (AMVs) Retrieval Himawari-8 AMVs derived from Himawari-8 imagery with new algorithm  MTSAT-2 AMVs derived from MTSAT-2 imagery and heritage algorithm Resolution 2km/10min. Resolution 4km/30min. Resolution 4km/60min. Colder color : upper level wind warmer color : low level wind Himawari-8 and MTSAT-2 IR AMV (QI>60, 2015 01 14 1700UTC)

Atmospheric Motion Vectors (AMVs) JMA/MSC has developed a new algorithm for Himawari-8 AMVs based on an optimal estimation method for full exploitation of satellite data (Shimoji 2014). Validation results are informed to NWP users (IWW mailing list) Band #3 (VIS) Band #13 (IR)

Clear Sky Radiances (CSRs) Area averaged clear sky radiance and brightness temperature. Specifications: All IR bands (3.9, 6.2, 6.9, 7.3, 8.6, 9.6, 10.4, 11.2, 12.4, 13.3 um) Full disk, Hourly produced Spatial resolution (size of area for averaging): 16 x 16 pixel (IR) (32 x 32 km @SSP) Band #8 (6.2 um) Band #9 (6.9 um) Band #10 (7.3 um) 03 UTC 20 April 2015 2015/07/28 An introduction of Japanese new geostationary meteorological satellite, Himawari-8

Overview of Himawari-8 Himawari-8 began operation on 7th July 2015. Himawari-8 has remarkable advantage in spatial resolution, observation frequency and the number of observation spectral bands over MTSAT-2. Those advantage enhanced Geophysical Products. Himawari-8 data are distributed and disseminated via HimawariCast and HimawariCloud. 2015/07/28 An introduction of Japanese new geostationary meteorological satellite, Himawari-8

Thank you for your kind attention JMA mascot “Harerun” 2015/07/28 An introduction of Japanese new geostationary meteorological satellite, Himawari-8