Status of GCOM-W1 and

Similar documents
Status of GCOM and expectation for microwave scatterometer

OVERVIEW OF THE FIRST SATELLITE OF THE GLOBAL CHANGE OBSERVATION MISSION - WATER (GCOM-W1)

STATUS OF THE FIRST SATELLITE OF THE GLOBAL CHANGE OBSERVATION MISSION - WATER (GCOM-W1)

GCOM-W1 now on the A-Train

Global Change Observation Mission (GCOM)

Long-term Water Cycle Observation by the Advanced Microwave Scanning Radiometer (AMSR) Series: AMSR-E, AMSR2 and Follow-on

APPENDIX C OVERVIEW OF THE GLOBAL CHANGE OBSERVATION MISSION (GCOM)

Keiji Imaoka Earth Observation Research Center (EORC) Japan Aerospace Exploration Agency (JAXA) GSICS/GRWG Meeting Darmstadt, Germany March 25, 2014

Related missions and programs for Snowfall and Snow Hydrology of JAXA

JAXA Earth Observation Satellites and the Validation

JAXA s Contributions to the Climate Change Monitoring

Overview of Long- term Observa3ons of the Global Water Cycle by the Advanced Microwave Scanning Radiometer (AMSR) Series

JAXA S FUTURE EARTH OBSERVATION MISSIONS FOR METEOROLOGICAL AND CLIMATOLOGICAL APPLICATIONS

Interpretation of Polar-orbiting Satellite Observations. Atmospheric Instrumentation

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

Japanese Programs on Space and Water Applications

HY-2A Satellite User s Guide

GCOM-C/SGLI and its Lunar Calibration

NPP ATMS Instrument On-orbit Performance

Agency Status Reports: JMA and JAXA

Contribution to global Earth observation from satellites

A two-season impact study of the Navy s WindSat surface wind retrievals in the NCEP global data assimilation system

Development of Spaceborne Dualfrequency. and Its Role for the Global Precipitation Measurement

Welcome and Introduction

A New Satellite Wind Climatology from QuikSCAT, WindSat, AMSR-E and SSM/I

JAXA Remote Sensing Satellite Missions Utilization for Earth and Environment Observation

Joint Polar Satellite System. 3 rd Post-EPS User Consultation Workshop Mike Haas

CEOS Overview and JAXA Plans for Water Cycle Observation

The use and impacts of sea surface temperature from passive microwave measurements

Next generation of EUMETSAT microwave imagers and sounders: new opportunities for cloud and precipitation retrieval

A Time-varying Radiometric Bias Correction for the TRMM Microwave Imager. Kaushik Gopalan Thesis defense : Oct 29, 2008

URSI-F Microwave Signatures Meeting 2010, Florence, Italy, October 4 8, Thomas Meissner Lucrezia Ricciardulli Frank Wentz

GCOM-C SGLI calibration and characterization. Hiroshi Murakami JAXA/EORC Satellite instrument pre- and post-launch calibration

Pre-Launch Characterization and In-orbit Calibration of GCOM-C/SGLI

Sea water dielectric constant, temperature and remote sensing of Sea Surface Salinity

CEOS SST-VC. Passive Microwave Radiometer Constellation for Sea Surface Temperature

JAXA s Ocean Environment Monitoring Activities and Himawari Monitor

Earth Science Flight Mission Overview

ECMWF. ECMWF Land Surface Analysis: Current status and developments. P. de Rosnay M. Drusch, K. Scipal, D. Vasiljevic G. Balsamo, J.

SSS retrieval from space Comparison study using Aquarius and SMOS data

GLOBAL PRECIPITATION MEASUREMENT UPDATE

JAXA agency report. Masumi MATSUNAGA Satellite Applications and Operations Center(SAOC), JAXA

Teruyuki Nakajima Director, Earth Observation Research Center (EORC) Japan Aerospace Exploration Agency (JAXA)

Radiometric Calibration of RapidScat Using the GPM Microwave Imager

Ocean Vector Winds in Storms from the SMAP L-Band Radiometer

Radio Frequency Earth Science

ASSIMILATION EXPERIMENTS WITH DATA FROM THREE CONICALLY SCANNING MICROWAVE INSTRUMENTS (SSMIS, AMSR-E, TMI) IN THE ECMWF SYSTEM

REMOTE SENSING KEY!!

Future SAR mission concepts

"Cloud and Rainfall Observations using Microwave Radiometer Data and A-priori Constraints" Christian Kummerow and Fang Wang Colorado State University

NOAA Report. Hal Bloom Mitch Goldberg NOAA/NESDIS

SMAP and SMOS Integrated Soil Moisture Validation. T. J. Jackson USDA ARS

A New Microwave Snow Emissivity Model

Lectures 7 and 8: 14, 16 Oct Sea Surface Temperature

RAIN RATE RETRIEVAL ALGORITHM FOR AQUARIUS/SAC-D MICROWAVE RADIOMETER. ROSA ANA MENZEROTOLO B.S. University of Central Florida, 2005

Post-Launch Calibration of the TRMM Microwave

Meeting the Needs for Satellite OVW

Julia Figa-Saldaña & Klaus Scipal

EUMETSAT STATUS AND PLANS

Effects of all-sky assimilation of GCOM-W1/AMSR2 radiances in the ECMWF system

Julia Figa-Saldaña & Klaus Scipal

Orbit and Transmit Characteristics of the CloudSat Cloud Profiling Radar (CPR) JPL Document No. D-29695

remote sensing ISSN

SMAP Data Product Overview

CGMS Baseline. Sustained contributions to the Global Observing System. Endorsed by CGMS-46 in Bengaluru, June 2018

F O U N D A T I O N A L C O U R S E

CGMS Baseline In response to CGMS action/recommendation A45.01 HLPP reference: 1.1.8

Characteristics of Global Precipitable Water Revealed by COSMIC Measurements

Operational systems for SST products. Prof. Chris Merchant University of Reading UK

Sentinel-3A Product Notice SLSTR Level-2 Sea Surface Temperature

Current Status of the ALOS-2 Operation and PALSAR-2 Calibration Activities

Global Precipitation Measurement Mission Overview & NASA Status

GEOSC/METEO 597K Kevin Bowley Kaitlin Walsh

Future Opportunities of Using Microwave Data from Small Satellites for Monitoring and Predicting Severe Storms

Instrumentation planned for MetOp-SG

Long term performance monitoring of ASCAT-A

Report from CNSA 16th GSICS Executive Panel, Boulder, May 2015

Meteorological Satellite Image Interpretations, Part III. Acknowledgement: Dr. S. Kidder at Colorado State Univ.

Developing Vicarious Calibration for Microwave Sounding Instruments using Lunar Radiation

JAFOE Next Generation Environmental Sensors

Version 7 SST from AMSR-E & WindSAT

Bringing Consistency into High Wind Measurements with Spaceborne Microwave Radiometers and Scatterometers

GOSAT update. June Prepared by JAXA EORC Presented by David Crisp

Comparison of NASA AIRS and MODIS Land Surface Temperature and Infrared Emissivity Measurements from the EOS AQUA platform

Dual-Frequency Ku- Band Radar Mission Concept for Snow Mass

Post-Launch Calibration of the TRMM Microwave Imager

The Effect of Clouds and Rain on the Aquarius Salinity Retrieval

NOAA MSU/AMSU Radiance FCDR. Methodology, Production, Validation, Application, and Operational Distribution. Cheng-Zhi Zou

SOIL MOISTURE EXPERIMENTS 2005 (SMEX05): PASSIVE MICROWAVE POLARIMETRIC SIGNATURES OF SOIL MOISTURE AND VEGETATION

Programmatic Perspectives

ASCAT - Metop A developments, Metop B preparations & EPS-SG

SIMULATION OF SPACEBORNE MICROWAVE RADIOMETER MEASUREMENTS OF SNOW COVER FROM IN-SITU DATA AND EMISSION MODELS

China France. Oceanography S A T. The CFOSAT project. e l l i t e. C. Tison (1), D. Hauser (2), A. Mouche (3) CNES, France (2)

REMOTE SENSING TEST!!

NEW CGMS BASELINE FOR THE SPACE-BASED GOS. (Submitted by the WMO Secretariat) Summary and Purpose of Document

The current status of FY-3D. (Submitted by Xiang Fang, CMA) Summary and Purpose of Document

Global Flood Alert System based on satellite derived rainfall data -Targeting the era of Global Precipitation Measurement (GPM)-

EUMETSAT PLANS. K. Dieter Klaes EUMETSAT Darmstadt, Germany

Some NOAA Products that Address PSTG Satellite Observing Requirements. Jeff Key NOAA/NESDIS Madison, Wisconsin USA

Atmospheric Profiles Over Land and Ocean from AMSU

Transcription:

Status of GCOM-W1 and GCOM-W2 OVWST Barcelona, Spain May18,2010 Haruhisa Shimoda, Keiji Imaoka, Norimasa Ito, Keizo Nakagawa EORC, JAXA

CONTENTS What is GCOM mission AMSR-E status GCOM-W1 satellite GCOM-W1 calibration AMSR-E reprocessing International cooperation GCOM-W2 Conclusions

GCOM Mission Continuation of ADEOSⅡ Contribution to GEOSS Climate, Weather, Water, Ecosystem, Agriculture, etc. in GEOSS 9 areas Focus on Climate change / Global warming and Water cycle committed in Summit Contribution o to operational o a fields like weather forecast, fisheries, etc. Long term continuous measurements

Scientific Targets Accurate estimation of aerosol radiative forcing Validation of climate models Accurate estimation of primary production Better understanding of coastal phenomena Better understanding of sea ice trend

Operational Applications Input to NWP p Extreme weather forecasting Fisheries Navigation Coastal management Crop yield estimation Monitoring forest decrease Monitoring volcano eruptions Monitoring forest fire

AMSR-E Status

Status of Aqua/AMSR-E Mission status Nearly 8-years observation after the launch on May 4, 2002 onboard NASA s EOS Aqua satellite. Stable brightness temperature records, except the loss of 89GHz-A data from November 2004. Motor torque increase and ADE fail-over to redundant system. Instrument characteristics Multi-frequency and dual polarization radiometer developed by JAXA. Main reflector with diameter of 1.6m. 6.9GHz channels for SST and soil moisture retrievals. Afternoon (1:30 pm) equatorial crossing time that is currently unique for microwave radiometers. Pre-launch AMSR-E in Tsukuba Space Center

Radiometric Correction: Two Steps Step 1 : PRT method Multiple regression model of T eff using eight PRT readings. Coefficients of the regression model were determined by using SSM/I oceanic Tb (18GHz and higher channels) and computed Tb (6 and 10GHz channels) based on the Reynolds OI-SST analysis. T B _ HTS T 0 8 i 1 F i T Pt _ i T Step 2 : RxT method Utilize Relationship between receiver temperature and its gain variation. Applying this equation to HTS measurement and assuming T eff derived by regression model as T OBS, b RX can be computed by regression analysis. Using this value, gain variations can be compensated by the equation. OBS G 0 C OBS C CSM 1 b T RX CSM RX T HTS Effective Temp. PRT readings T OBS : Scene Tb (K) SSM/I data were provided by the Global Hydrology Resource Center (GHRC) at the Global Hydrology and Climate Center, Huntsville, Alabama, USA. Reynolds OI-SST dataset were made available by NOAA. T CSM : Deep space Tb (K) C OBS : Digital counts of scene C CSM : Digital counts of deep spece G 0 : Nominal gain b RX : Gain sensitivity to rec. temp. ( -1 ) T RX : Rec. temp. departure from mean value ( ).

Radiometric Correction : Results (a) (b) AMSR-E Tb (K) Diff ference (K) Computed Tb from OI-SST (K) (c) Position in orbit (*0.01 revolution) Computed Tb from OI-SST (K) Comparison between computed Tb based on OI-SST and AMSR- E Tb by (a) simple two-point calibration and (b) presented method for 6.925-GHz vertical polarization on July 4, 2002. (c) Daily average of difference between computed and AMSR-E Tb as a function of position in orbit for simple two-point calibration (cross) and presented method (closed circle).

GCOM satellites GCOM-W1 AMSR2 (Advanced Microwave Scanning Radiometer 2) Planned to be launched on Nov., 2011 GCOM-C1C1 SGLI (Second generation Global Imager) Planned to be launched in fiscal 2013 Plan for the 2 nd and 3 rd generations GCOM-W2 (in 2015), GCOM-W3 (in 2019) GCOM-C1 C1 (in 2017), GCOM-C3 (in 2021)

Orbit : A-train Sun synchronous orbit GCOM-W1 Height: about 700km Local time of ascending node: 13:30 Weight: about 1.99t Power : about 3.9kW Lifetime: 5 years Data transmission Global observation data are stored and transmitted every orbit period Observed data are transmitted to ground stations in real time

A-Train and GCOM-W1 After invitation to A-Train constellation from NASA, JAXA and A-Train members studied the possibility of participation of GCOM-W1 to A- Train. Participation of GCOM-W1 to A-Train was approved by A-Train members last October. The position of GCOM-W1 is ahead of Aqua. Benefits of joining the A-train are: Precise inter-calibration between AMSR-E and AMSR2; and Synergy with A-Train instruments for new Earth science research. GCOM-W1 15~195sec 86sec

Downlink Freq : 8245MHz Polarization : RHCP Modulation : OQPSK Data Rate : 10Mbps (20Msps) Coding : CCSDS, Reed-Solomon, convolution

GCOM-W1 satellite GCOM-W (Water) Instrument Orbit Size Mass Power Launch Design Life Status Advanced Microwave Scanning Radiometer-2 Sun Synchronous orbit Altitude:699.6km (over the equator) 5.1m (X) * 17.5m (Y) * 3.4m (Z) 1880kg Over 4050W JFY2011 (CY2012 Winter) 5-years Preliminary Design started in JFY2007 GCOM-W1/AMSR2 will contribute to long-term observation of global water and energy cycle. Continue AMSR-E observation (high spatial resolution, low-frequency channels,etc.). Construct reliable long-term dataset to contribute for understanding and monitoring of climate change. Contribute to operational use by providing continuous cloud-through SST, frequent and quantitative storm observation to maintain precipitation forecast accuracy.

Basic requirements for AMSR 2 Minimum modifications from AMSR on ADEOS-II to reduce risks/cost and keep the earliest launch date. Several essential improvements. Improvement of calibration system including warm load calibration target. Consideration to C-band radio frequency interference (RFI). Combination with SeaWinds-type scatterometer is highly desired.

Basic requirements for AMSR 2 Antenna : 2.0m, offset parabolic antenna Channel sets Identical to AMSR-E (no O 2 band channels) 6.925,7.3, 10.65, 18.7, 23.8, 36.5, 89.0GHz Dual polarization Calibration Improvements of hot load etc. Enhance pre-launch calibration testing Orbit A-Train Mission life 5 years

Improvement of HTS(Hot Load) CSM AMSR2 Sensor Unit (SU) HTS TCP SU structure CSM: Cold Sky Mirror, HTS: High Temperature noise Source, TCP: Thermal Control Panel HTS and CSM Proto Flight Model under vibration test(dec. 2009)

Improvement of HTS(Hot Load) (1) Temperature inside id HTS is kept constant t (= 20 degrees C) using heaters on 5 walls of HTS and TCP. (2) Sunshields attached to HTS and TCP minimize the sun light reflection into HTS. (3) TCP thermally isolates HTS from SU structure (much colder than HTS). HTS: High Temperature noise Source, TCP: Thermal Control Panel, SU: Sensor Unit Spin axis AMSR-E HTS (Cross section) AMSR2 HTS (Cross section) Heater Microwave Absorber SU structure Sunshield SU structure Sunshield Maximum temperature difference inside HTS : less than 2K Estimated t brightness temperaturet accuracy : 0.2 K (Variable bias during orbit, season, design life) 0.1 K (Random due to quantization ) TCP

Hot Load performance The largest temperature difference within hot load is less than 2K. The estimated absolute accuracy of brightness temperature is less than 0.2K with the aid of improved temperature sensor.

Temperature Resolution Frequency Resolution(target) 6.925 <0.34(0.3) 7.3 <0.43 10.65 < 0.7(0.6) 18.7 < 0.7(0.6) 23.8 < 0.6(0.55) 36.5 < 0.7(0.65) 89.0 < 12(11) 1.2(1.1)

Overview of AMSR2 instrument Deployable main reflector system with 2.0m diameter. Frequency channel set is Orbit Deployed GCOM-W1/AMSR2 characteristics Launch Design-Life Local time Swath width Antenna Incidence angle Sun Synchronous with 699.6km altitude (over the equator) JFY2011 5-years 13:30 LTAN 1450km 2.0m offset parabola Nominal 55 degree Cente r Freq. [GHz] Stowed Band width [MHz ] identical to that of AMSR-E except 7.3GHz channel for RFI mitigation. Two-point external calibration with the improved HTS (hotload). Deep-space maneuver will be considered to check the consistency between main reflector and CSM. AMSR2 Channel Set Polari zatio n Beam width [deg] (Ground res. [km]) 1.8 (35 x 62) Samplin g interval [km] 6.925 1 8 (35 x 62) / 350 7.3 1.7 (34 x 58) 10.65 100 V 1.2 (24 x 42) 10 18.7 200 and 0.65 (14 x 22) H 23.8 400 0.75 (15 x 26) 36.5 1000 0.35 (7 x 12) 89.0 3000 0.15 (3 x 5) 5

products IFOV std. accr. dynamic range brightness temp. 5-50km 50km ±1.5K 2.7-340K total prec. water 15km ±3.5kg/m 3 0-70kg/m 3 cloud liq. water 15km ±0.05kg/m 2 0-1.0kg/m 2 precipitation 15km Ocean: 50% 0-20mm/h Land:±120% SST 50km ±5 C -2-35 C sea surf. winds 15km ±1m/s 0-30m/s sea ice conc. 15km ±10% 0-100% snow depth 30km ±20cm 0-100cm soil moisture 50km ±10% 0-40%

Pre-Launch Characterization and Calibration Measurements of radiometer noise, antenna pattern (main reflector and CSM), detector non-linearity, sensor alignment, etc. Post-Launch Deep space calibration is scheduled just one time during the initial checkout phase to assess MREF-CSM consistency, cold scan bias, and so forth. It will be implemented by single orbit inertia-lock maneuver over open ocean areas. Cross calibration with other radiometers and characterization such as scan biases. Monitoring of radiometer sensitivity, radiometer gain stability, brightness temperatures at selected stable regions, etc. Geometric calibration and determination of sensor alignment offsets.

Cross Calibration with AMSR-E AMSR-E and AMSR2 will remain in A-train at least 1 year. Cross calibration will be conducted during this 1 year period. New calibration parameters of AMSR-E will be determined. The whole AMSR-E products will be reprocessed using this new parameters.

International Cooperation Discussions on the cooperation with NPOESS is underway with NOAA AMSR2 is a part of GPM JAXA is proposing a joint science activity with NASA Provision of a scatterometer on GCOM- W2 is under discussion with JPL and NOAA

New Scatterometer on GCOM-W2 Dual Frequency Scatterometer (DFS) Ku band and C band around d2m aperture All weather monitoring All wind speed monitoring

AMSR3 on GCOM-W2 Addition of scatterometer Addition of high frequency channels (150-190GHz) for solid precipitation and water vapor sounding Also, join the A-train at least 1 year

Conclusions AMSR2 will have the highest calibration capability within microwave imager. AMSR-E products will be reprocessed after the cross calibration with AMSR2. Long term high h accuracy microwave imager products will be obtained.