The document summarizes the validation program for environmental data records (EDRs) from the Cross-track Infrared Microwave Sounding Suite (CrIMSS) on the Joint Polar Satellite System (JPSS) NPP satellite. The program aims to ensure EDR products like atmospheric temperature and moisture profiles meet accuracy requirements. It outlines team members and responsibilities, validation phases from pre-launch to long-term monitoring, and current pre-launch efforts using proxy datasets and field campaigns to demonstrate launch readiness.
H. Frank Grainger II has over eight years of experience as an environmental professional specializing in air and water assessment and sampling, wetland delineation, and plant identification. He has worked for Arcadis since 2009 conducting various environmental monitoring, testing, and sampling projects for government agencies and industrial clients. Some of his responsibilities have included water and soil sampling, metrology quality assurance laboratory support, and characterizing potential cross-media transfers of materials like coal ash. He holds professional qualifications in metrology laboratory verification and various health and safety certifications.
The OWI-Lab project aims to create testing and monitoring infrastructure for offshore wind energy through four objectives:
1) Develop infrastructure including a climate test chamber, offshore monitoring platform, and mobile lidar platform to generate wind and environmental condition datasets.
2) Participate in the NORSEWInD project to acquire offshore wind speed data.
3) Acquire and test state-of-the-art wind, condition, and structural health monitoring systems.
4) Use collected data to adapt numerical weather prediction and computational fluid dynamics models to optimize offshore wind farm operation and maintenance strategies.
2013 ICEEFP Fisheries Information Management System (FIMS) at Petascale_Mark ...Christa Woodley
Since 2004 the Juvenile Salmonid Acoustic Telemetry System (JSATS) cabled array and autonomous node systems have been deployed in the Columbia River Basin to provide survival estimates and understand fish passage. Autonomous nodes provide presence/absence while cabled arrays provide 3D fish position estimates. Cabled array deployments consist of over 100 acquisition systems continually collecting data through the juvenile salmonid migration season. Raw data volumes are approaching petabytes. Real-time software processing reduces decode acoustic micro transmitter (AMT) signals surgically implanted in juvenile salmonids. Given the distance between and number of systems, cellular modems notify a central monitoring system of potential system issues. Project management receives system alerts in efforts to proactively fix faulting equipment. System downtime and fish detections are coordinated with dam operations data, run at large estimates, environmental measurements, and fish condition data. Fish condition helps estimate the run of the river and is collected throughput the season. This data includes photographing each fish used in the study. In 2012, approximately 65,000 photographs were taken. Images are archived and used for reporting to management agencies. We present a fisheries information management system for large studies that can facilitate future spatiotemporal meta-data analysis to support management of hydropower systems.
The document provides information about the KRIA-EcoUSA Blue Box system for cleaning contaminated water bodies. It describes testing that was conducted in Japan in 2001 and in Alabama and Ohio in 2011-2012 that demonstrated the system's ability to increase dissolved oxygen, decrease water pollutants and contaminants, and restore aquatic habitats without using chemicals. The document concludes that the KRIA system can restore the health of a typical 60,000 acre feet water body within 6-20 months by depleting pollution that causes issues like harmful algae blooms and fish kills.
KRIA Training - Water Cleaning EquipmentDale Gilbert
A presentation of KRIA-EcoUSA Industrial Water Cleaning Equipment. An introduction to water science studies using ionization and nano-bubble technologies to cure polluted and impaired water bodies.
Steven Finnegan has over 5 years of experience in the radiation protection field, including performing contamination surveys, free release surveys, MARSSIM surveys, radioactive waste shipping, decommissioning and decontamination projects, and instrumentation experience. He has a background in health physics and radiation protection with various employers, monitoring workers, performing surveys, and ensuring regulatory compliance.
The document discusses using cloud computing for remote sensing quantitative inversion. It provides an example of using Amazon EC2 to process 8.4 GB of daily MODIS data for a year, which would cost over $1,136 due to data transfer fees and instance rental costs. However, cloud computing has limitations for remote sensing like technical support for programming languages and data security issues. Future work is needed to improve data standards, storage methods, and security for using clouds in geoscience applications.
EcoSAR will be the first airborne P-band digital beamforming polarimetric interferometric SAR to quantify ecosystem structure, biomass, and surface water. It will fly on NASA's P3 airplane and measure biomass up to 200 Mg/ha and canopy heights to 1m accuracy. These measurements will help validate future satellite missions and improve carbon estimates. EcoSAR's design includes dual 25m baseline antennas, 435MHz center frequency, and high resolution science mode of 1.3m. Its main objectives are to measure biomass, height, ecosystem structure over disturbances, and support international carbon initiatives. P-band is well-suited for this as its long wavelength penetrates canopies. The instrument
H. Frank Grainger II has over eight years of experience as an environmental professional specializing in air and water assessment and sampling, wetland delineation, and plant identification. He has worked for Arcadis since 2009 conducting various environmental monitoring, testing, and sampling projects for government agencies and industrial clients. Some of his responsibilities have included water and soil sampling, metrology quality assurance laboratory support, and characterizing potential cross-media transfers of materials like coal ash. He holds professional qualifications in metrology laboratory verification and various health and safety certifications.
The OWI-Lab project aims to create testing and monitoring infrastructure for offshore wind energy through four objectives:
1) Develop infrastructure including a climate test chamber, offshore monitoring platform, and mobile lidar platform to generate wind and environmental condition datasets.
2) Participate in the NORSEWInD project to acquire offshore wind speed data.
3) Acquire and test state-of-the-art wind, condition, and structural health monitoring systems.
4) Use collected data to adapt numerical weather prediction and computational fluid dynamics models to optimize offshore wind farm operation and maintenance strategies.
2013 ICEEFP Fisheries Information Management System (FIMS) at Petascale_Mark ...Christa Woodley
Since 2004 the Juvenile Salmonid Acoustic Telemetry System (JSATS) cabled array and autonomous node systems have been deployed in the Columbia River Basin to provide survival estimates and understand fish passage. Autonomous nodes provide presence/absence while cabled arrays provide 3D fish position estimates. Cabled array deployments consist of over 100 acquisition systems continually collecting data through the juvenile salmonid migration season. Raw data volumes are approaching petabytes. Real-time software processing reduces decode acoustic micro transmitter (AMT) signals surgically implanted in juvenile salmonids. Given the distance between and number of systems, cellular modems notify a central monitoring system of potential system issues. Project management receives system alerts in efforts to proactively fix faulting equipment. System downtime and fish detections are coordinated with dam operations data, run at large estimates, environmental measurements, and fish condition data. Fish condition helps estimate the run of the river and is collected throughput the season. This data includes photographing each fish used in the study. In 2012, approximately 65,000 photographs were taken. Images are archived and used for reporting to management agencies. We present a fisheries information management system for large studies that can facilitate future spatiotemporal meta-data analysis to support management of hydropower systems.
The document provides information about the KRIA-EcoUSA Blue Box system for cleaning contaminated water bodies. It describes testing that was conducted in Japan in 2001 and in Alabama and Ohio in 2011-2012 that demonstrated the system's ability to increase dissolved oxygen, decrease water pollutants and contaminants, and restore aquatic habitats without using chemicals. The document concludes that the KRIA system can restore the health of a typical 60,000 acre feet water body within 6-20 months by depleting pollution that causes issues like harmful algae blooms and fish kills.
KRIA Training - Water Cleaning EquipmentDale Gilbert
A presentation of KRIA-EcoUSA Industrial Water Cleaning Equipment. An introduction to water science studies using ionization and nano-bubble technologies to cure polluted and impaired water bodies.
Steven Finnegan has over 5 years of experience in the radiation protection field, including performing contamination surveys, free release surveys, MARSSIM surveys, radioactive waste shipping, decommissioning and decontamination projects, and instrumentation experience. He has a background in health physics and radiation protection with various employers, monitoring workers, performing surveys, and ensuring regulatory compliance.
The document discusses using cloud computing for remote sensing quantitative inversion. It provides an example of using Amazon EC2 to process 8.4 GB of daily MODIS data for a year, which would cost over $1,136 due to data transfer fees and instance rental costs. However, cloud computing has limitations for remote sensing like technical support for programming languages and data security issues. Future work is needed to improve data standards, storage methods, and security for using clouds in geoscience applications.
EcoSAR will be the first airborne P-band digital beamforming polarimetric interferometric SAR to quantify ecosystem structure, biomass, and surface water. It will fly on NASA's P3 airplane and measure biomass up to 200 Mg/ha and canopy heights to 1m accuracy. These measurements will help validate future satellite missions and improve carbon estimates. EcoSAR's design includes dual 25m baseline antennas, 435MHz center frequency, and high resolution science mode of 1.3m. Its main objectives are to measure biomass, height, ecosystem structure over disturbances, and support international carbon initiatives. P-band is well-suited for this as its long wavelength penetrates canopies. The instrument
The document summarizes the pre-launch assessment of the VIIRS cloud mask (VCM) as follows:
1) It reviewed the VCM logic and contents, and presented global results using the pre-launch VCM without tuning, which showed room for improvement.
2) It described methods used for pre-launch tuning using synthetic data, which helped reduce false alarms and improve performance over land and desert.
3) Quantitative results showed the tuning effort significantly improved the VCM's probability of correct typing, especially over land.
OIL SPILL DETECTION USING COSMO-SKYMED OVER THE ADRIATIC SEA THE OPERATIONAL ...grssieee
The document discusses the use of COSMO-SkyMed satellite imagery to detect oil spills in the Adriatic Sea. It presents two case studies where COSMO-SkyMed detected potential oil spills that matched locations of ships from Automatic Identification System data within 12 hours of the satellite images. The high revisit time of the COSMO-SkyMed satellite constellation allows improved monitoring of oil spills compared to previous C-band systems.
A SELF-ADJUSTIVE GEOMETRIC CORRECTION METHOD FOR SERIOUSLY OBLIQUE AERO IMAGE...grssieee
This document presents a self-adjustive geometric correction method for seriously oblique aerial images. It analyzes projection errors caused by the curvature of the Earth and terrain relief. A ternary quadratic polynomial model is used, with adjustments to better correct for relief-induced projection errors. Experiments on images taken at large viewing angles demonstrate the new model outperforms conventional models in correction accuracy and recovering locations of high objects.
This document summarizes research on using SAR satellite imagery and machine learning algorithms to detect oil slicks in the Gulf of Mexico, and tracking their movement using the NOAA GNOME oil spill model. It describes algorithms developed for detecting oil slicks in single-polarization SAR images, and techniques for analyzing multi-polarization SAR data. A case study is presented on simulating an oil pipeline leak using GNOME forced by ocean current and wind data, validated against satellite observations.
The document discusses interannual changes in ice-edge blooms in the Arctic region. It summarizes that ice-edge blooms are an important ecological niche that typically occur within 20 days of ice melt in around 90% of the seasonal ice zone. The timing of ice melt can have varying effects on the intensity and productivity of ice-edge blooms between different regions. Early ice melt may impact other trophic levels and could affect total productivity and CO2 drawdown in the Arctic ecosystem. Consistency in satellite data is important for analyzing interannual variability in ice melt and ice-edge blooms.
TH1.T04.2_MULTI-FREQUENCY MICROWAVE EMISSION OF THE EAST ANTARCTIC PLATEAU_IG...grssieee
The document summarizes a study that used ground-based and satellite microwave radiometer data to understand the multi-frequency emission properties of the East Antarctic plateau. Key findings include:
1) Ground-based radiometer measurements from the Domex-2 experiment at Dome C, Antarctica showed the plateau surface has very stable brightness temperatures over timescales of months, suitable for calibration of satellite sensors.
2) Comparison to SMOS satellite data showed good agreement in temporal trends, though some jumps in ground data were attributed to wind effects.
3) Both data sets showed the expected decrease in brightness temperature with increasing observation angle.
The document discusses bidirectional reflectance distribution functions (BRDF) in coastal waters and their application to validating ocean color satellites. It presents a BRDF correction algorithm optimized for coastal waters dominated by sediments or colored dissolved organic matter. Validation using in situ radiometer data from the Long Island Sound Coastal Observatory shows the proposed algorithm reduces dispersion in water leaving radiances compared to standard open ocean algorithms, improving satellite matchup comparisons.
1. PASCO has responded to 22 natural disasters since 2007 using TerraSAR-X satellite data, including the 2010 Haiti earthquake and 2011 Tohoku earthquake.
2. For the Haiti earthquake, TerraSAR-X detected collapsed buildings by identifying changes in backscattering between pre-and post-earthquake images.
3. For the Tohoku earthquake, PASCO rapidly acquired TerraSAR-X data and produced inundation maps within 48 hours that estimated flood areas and informed government recovery efforts.
The document summarizes China's Agricultural Remote Sensing Monitoring System (CHARMS), which has been operational since 1998 to monitor key crops and grasslands across China using remote sensing data. The system provides monitoring of crop acreages, soil moisture, crop growth, yields, and disasters. It incorporates remote sensing data, ground observations, and statistical analysis to produce monitoring results. The system is modular and distributed to allow flexibility. It is intended to contribute to agricultural management and food security in China.
This document analyzes the polarimetric characteristics of mesoscale cellular convection (MCC) observed in Synthetic Aperture Radar (SAR) imagery and compares them to the polarimetric characteristics of open ocean surfaces. MCC areas showed higher values of co-polarization phase difference, entropy (H), and alpha angle (α) compared to typical ocean surface values. The document presents SAR and auxiliary meteorological data used to analyze MCC conditions and validates the SAR signals as MCC. It concludes that polarimetric parameters show potential for distinguishing atmospheric convection from open ocean surfaces in SAR imagery.
The document provides tips for using Twitter effectively: 1) Engage your industry by sharing advice, news, and Q&A. 2) Do not directly sell on Twitter as this will lose followers. 3) Do not spam as this is a turnoff. 4) Be personal and transparent to connect with others. 5) Be active through quality engagement to increase visibility. 6) Engage with others on Twitter through replies and conversations to increase the chances of gaining new followers.
The document proposes a method to infer daily soil moisture levels from multiple satellite sensors, including MODIS, SEVIRI MSG, ASAR, and AMSR-E. It uses an apparent thermal inertia (ATI) approach derived from MODIS thermal data, calibrated with SAR and AMSR-E soil moisture estimates. The ATI values are filtered over time using AMSR-E data to reduce noise and provide daily soil moisture index classes for different test sites in Italy and France. Results show the method achieves reasonably accurate soil moisture estimates compared to ground measurements.
I wish the person who shared this with me had put their name to the presentation - if it was you, please let me know if you would prefer not to have it on Slideshare. Alternatively, contact me and I will credit your name to this presentation.
WE1.L10 - USE OF NASA DATA IN THE JOINT CENTER FOR SATELLITE DATA ASSIMILATIONgrssieee
The document discusses the use of NASA satellite data in weather and environmental analysis by the Joint Center for Satellite Data Assimilation (JCSDA). The JCSDA is an interagency partnership that works to improve forecast models through better use of satellite observations. It assimilates many NASA sensors operationally, including MODIS, AIRS, and Jason altimetry, and is working to prepare other sensors like SMAP for assimilation testing. Highlights are presented on atmospheric, ocean, and land data assimilation using NASA data to improve analysis and forecasts.
MO4.L10 - EVALUATION OF CRIS/ATMS PROXY RADIANCES/RETRIEVALS WITH IASI RETRIE...grssieee
This document evaluates CrIS/ATMS proxy radiance and retrieval data generated from IASI/AMSU-A/MHS observations against real IASI retrievals, ECMWF analyses, and RAOB measurements. It focuses on a test day of October 19, 2007 containing over 200 granules of collocated CrIS/ATMS proxy, IASI, and meteorological data. Preliminary results show the CrIS proxy data matches well with real IASI observations. Comparisons of CrIMSS retrievals with IASI and ECMWF show reasonable agreement, though the CrIMSS product may need empirical bias corrections which were not applied. The analyses provide an early evaluation of the CrIS
MO4.L10 - EVALUATION OF CRIS/ATMS PROXY RADIANCES/RETRIEVALS WITH IASI RETRIE...grssieee
This document evaluates CrIS/ATMS proxy radiance and retrieval data generated from IASI/AMSU-A/MHS observations against real IASI retrievals, ECMWF analyses, and RAOB measurements. It focuses on a test day of October 19, 2007 containing over 200 granules of collocated CrIS/ATMS proxy, IASI, and meteorological data. Preliminary results show the CrIS proxy data matches well with real IASI observations. Comparisons of CrIMSS retrievals with IASI and ECMWF show reasonable agreement, though the CrIMSS product may need empirical bias corrections which were not applied. The analyses provide an early evaluation of the CrIS
MO3.L10 - STATUS OF PRE-LAUNCH ACTIVITIES FOR THE NPOESS COMMUNITY COLLABORAT...grssieee
The document summarizes the status of pre-launch validation activities for the NPP satellite. It discusses that validation teams are continuing work to characterize sensor data records and environmental data records in preparation for post-launch validation. Team leads provide experience from past missions and are working with stakeholders and experts to refine algorithms and calibration. Activities include analysis of test data, preparation of validation tools, and coordination between sensor and data record teams.
JPSS will continue critical environmental monitoring from polar orbiting satellites by maintaining observations from sensors like CrIS, ATMS, VIIRS, OMPS, and CERES. The NPP satellite will fly the first set of these instruments in order to ensure continuity of data until JPSS-1 is launched. JPSS will provide global observations for weather forecasting and climate monitoring through environmental data records from multiple instruments measuring atmospheric, oceanic, and land surface variables. Continuity of long term data sets is essential for detecting climate change and improving weather prediction.
1 NPP VIIRS Pre-Launch Performance and SDR Validation- IGARSS 2011.pptxgrssieee
The document discusses the pre-launch performance and planned validation of sensor data records (SDRs) from the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument onboard the Suomi National Polar-orbiting Partnership (NPP) satellite. It describes VIIRS' spectral, spatial, and radiometric characteristics based on pre-launch testing, and outlines the calibration/validation team and process for validating and improving the SDR products using techniques such as ground/aircraft comparisons, lunar observations, and satellite-to-satellite comparisons to MODIS following launch. The goal is to achieve stable, validated SDRs through ongoing calibration updates and performance monitoring over the lifetime of the NPP mission.
Alex Held_Achievements of AusCover - TERN's remote sensing data facilityTERN Australia
The AusCover Facility provides nationally consistent satellite-derived biophysical data products for Australia through a network of regional nodes. It produces long-term time series data on topics like vegetation indices, fractional cover, and burned area. The facility also operates a ground validation program to assess product accuracy. Researchers can use AusCover data to study issues like climate impacts on vegetation, tracking land cover change, and monitoring fire regimes. The facility aims to support ecosystem science and natural resource management applications.
The document summarizes the pre-launch assessment of the VIIRS cloud mask (VCM) as follows:
1) It reviewed the VCM logic and contents, and presented global results using the pre-launch VCM without tuning, which showed room for improvement.
2) It described methods used for pre-launch tuning using synthetic data, which helped reduce false alarms and improve performance over land and desert.
3) Quantitative results showed the tuning effort significantly improved the VCM's probability of correct typing, especially over land.
OIL SPILL DETECTION USING COSMO-SKYMED OVER THE ADRIATIC SEA THE OPERATIONAL ...grssieee
The document discusses the use of COSMO-SkyMed satellite imagery to detect oil spills in the Adriatic Sea. It presents two case studies where COSMO-SkyMed detected potential oil spills that matched locations of ships from Automatic Identification System data within 12 hours of the satellite images. The high revisit time of the COSMO-SkyMed satellite constellation allows improved monitoring of oil spills compared to previous C-band systems.
A SELF-ADJUSTIVE GEOMETRIC CORRECTION METHOD FOR SERIOUSLY OBLIQUE AERO IMAGE...grssieee
This document presents a self-adjustive geometric correction method for seriously oblique aerial images. It analyzes projection errors caused by the curvature of the Earth and terrain relief. A ternary quadratic polynomial model is used, with adjustments to better correct for relief-induced projection errors. Experiments on images taken at large viewing angles demonstrate the new model outperforms conventional models in correction accuracy and recovering locations of high objects.
This document summarizes research on using SAR satellite imagery and machine learning algorithms to detect oil slicks in the Gulf of Mexico, and tracking their movement using the NOAA GNOME oil spill model. It describes algorithms developed for detecting oil slicks in single-polarization SAR images, and techniques for analyzing multi-polarization SAR data. A case study is presented on simulating an oil pipeline leak using GNOME forced by ocean current and wind data, validated against satellite observations.
The document discusses interannual changes in ice-edge blooms in the Arctic region. It summarizes that ice-edge blooms are an important ecological niche that typically occur within 20 days of ice melt in around 90% of the seasonal ice zone. The timing of ice melt can have varying effects on the intensity and productivity of ice-edge blooms between different regions. Early ice melt may impact other trophic levels and could affect total productivity and CO2 drawdown in the Arctic ecosystem. Consistency in satellite data is important for analyzing interannual variability in ice melt and ice-edge blooms.
TH1.T04.2_MULTI-FREQUENCY MICROWAVE EMISSION OF THE EAST ANTARCTIC PLATEAU_IG...grssieee
The document summarizes a study that used ground-based and satellite microwave radiometer data to understand the multi-frequency emission properties of the East Antarctic plateau. Key findings include:
1) Ground-based radiometer measurements from the Domex-2 experiment at Dome C, Antarctica showed the plateau surface has very stable brightness temperatures over timescales of months, suitable for calibration of satellite sensors.
2) Comparison to SMOS satellite data showed good agreement in temporal trends, though some jumps in ground data were attributed to wind effects.
3) Both data sets showed the expected decrease in brightness temperature with increasing observation angle.
The document discusses bidirectional reflectance distribution functions (BRDF) in coastal waters and their application to validating ocean color satellites. It presents a BRDF correction algorithm optimized for coastal waters dominated by sediments or colored dissolved organic matter. Validation using in situ radiometer data from the Long Island Sound Coastal Observatory shows the proposed algorithm reduces dispersion in water leaving radiances compared to standard open ocean algorithms, improving satellite matchup comparisons.
1. PASCO has responded to 22 natural disasters since 2007 using TerraSAR-X satellite data, including the 2010 Haiti earthquake and 2011 Tohoku earthquake.
2. For the Haiti earthquake, TerraSAR-X detected collapsed buildings by identifying changes in backscattering between pre-and post-earthquake images.
3. For the Tohoku earthquake, PASCO rapidly acquired TerraSAR-X data and produced inundation maps within 48 hours that estimated flood areas and informed government recovery efforts.
The document summarizes China's Agricultural Remote Sensing Monitoring System (CHARMS), which has been operational since 1998 to monitor key crops and grasslands across China using remote sensing data. The system provides monitoring of crop acreages, soil moisture, crop growth, yields, and disasters. It incorporates remote sensing data, ground observations, and statistical analysis to produce monitoring results. The system is modular and distributed to allow flexibility. It is intended to contribute to agricultural management and food security in China.
This document analyzes the polarimetric characteristics of mesoscale cellular convection (MCC) observed in Synthetic Aperture Radar (SAR) imagery and compares them to the polarimetric characteristics of open ocean surfaces. MCC areas showed higher values of co-polarization phase difference, entropy (H), and alpha angle (α) compared to typical ocean surface values. The document presents SAR and auxiliary meteorological data used to analyze MCC conditions and validates the SAR signals as MCC. It concludes that polarimetric parameters show potential for distinguishing atmospheric convection from open ocean surfaces in SAR imagery.
The document provides tips for using Twitter effectively: 1) Engage your industry by sharing advice, news, and Q&A. 2) Do not directly sell on Twitter as this will lose followers. 3) Do not spam as this is a turnoff. 4) Be personal and transparent to connect with others. 5) Be active through quality engagement to increase visibility. 6) Engage with others on Twitter through replies and conversations to increase the chances of gaining new followers.
The document proposes a method to infer daily soil moisture levels from multiple satellite sensors, including MODIS, SEVIRI MSG, ASAR, and AMSR-E. It uses an apparent thermal inertia (ATI) approach derived from MODIS thermal data, calibrated with SAR and AMSR-E soil moisture estimates. The ATI values are filtered over time using AMSR-E data to reduce noise and provide daily soil moisture index classes for different test sites in Italy and France. Results show the method achieves reasonably accurate soil moisture estimates compared to ground measurements.
I wish the person who shared this with me had put their name to the presentation - if it was you, please let me know if you would prefer not to have it on Slideshare. Alternatively, contact me and I will credit your name to this presentation.
WE1.L10 - USE OF NASA DATA IN THE JOINT CENTER FOR SATELLITE DATA ASSIMILATIONgrssieee
The document discusses the use of NASA satellite data in weather and environmental analysis by the Joint Center for Satellite Data Assimilation (JCSDA). The JCSDA is an interagency partnership that works to improve forecast models through better use of satellite observations. It assimilates many NASA sensors operationally, including MODIS, AIRS, and Jason altimetry, and is working to prepare other sensors like SMAP for assimilation testing. Highlights are presented on atmospheric, ocean, and land data assimilation using NASA data to improve analysis and forecasts.
MO4.L10 - EVALUATION OF CRIS/ATMS PROXY RADIANCES/RETRIEVALS WITH IASI RETRIE...grssieee
This document evaluates CrIS/ATMS proxy radiance and retrieval data generated from IASI/AMSU-A/MHS observations against real IASI retrievals, ECMWF analyses, and RAOB measurements. It focuses on a test day of October 19, 2007 containing over 200 granules of collocated CrIS/ATMS proxy, IASI, and meteorological data. Preliminary results show the CrIS proxy data matches well with real IASI observations. Comparisons of CrIMSS retrievals with IASI and ECMWF show reasonable agreement, though the CrIMSS product may need empirical bias corrections which were not applied. The analyses provide an early evaluation of the CrIS
MO4.L10 - EVALUATION OF CRIS/ATMS PROXY RADIANCES/RETRIEVALS WITH IASI RETRIE...grssieee
This document evaluates CrIS/ATMS proxy radiance and retrieval data generated from IASI/AMSU-A/MHS observations against real IASI retrievals, ECMWF analyses, and RAOB measurements. It focuses on a test day of October 19, 2007 containing over 200 granules of collocated CrIS/ATMS proxy, IASI, and meteorological data. Preliminary results show the CrIS proxy data matches well with real IASI observations. Comparisons of CrIMSS retrievals with IASI and ECMWF show reasonable agreement, though the CrIMSS product may need empirical bias corrections which were not applied. The analyses provide an early evaluation of the CrIS
MO3.L10 - STATUS OF PRE-LAUNCH ACTIVITIES FOR THE NPOESS COMMUNITY COLLABORAT...grssieee
The document summarizes the status of pre-launch validation activities for the NPP satellite. It discusses that validation teams are continuing work to characterize sensor data records and environmental data records in preparation for post-launch validation. Team leads provide experience from past missions and are working with stakeholders and experts to refine algorithms and calibration. Activities include analysis of test data, preparation of validation tools, and coordination between sensor and data record teams.
JPSS will continue critical environmental monitoring from polar orbiting satellites by maintaining observations from sensors like CrIS, ATMS, VIIRS, OMPS, and CERES. The NPP satellite will fly the first set of these instruments in order to ensure continuity of data until JPSS-1 is launched. JPSS will provide global observations for weather forecasting and climate monitoring through environmental data records from multiple instruments measuring atmospheric, oceanic, and land surface variables. Continuity of long term data sets is essential for detecting climate change and improving weather prediction.
1 NPP VIIRS Pre-Launch Performance and SDR Validation- IGARSS 2011.pptxgrssieee
The document discusses the pre-launch performance and planned validation of sensor data records (SDRs) from the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument onboard the Suomi National Polar-orbiting Partnership (NPP) satellite. It describes VIIRS' spectral, spatial, and radiometric characteristics based on pre-launch testing, and outlines the calibration/validation team and process for validating and improving the SDR products using techniques such as ground/aircraft comparisons, lunar observations, and satellite-to-satellite comparisons to MODIS following launch. The goal is to achieve stable, validated SDRs through ongoing calibration updates and performance monitoring over the lifetime of the NPP mission.
Alex Held_Achievements of AusCover - TERN's remote sensing data facilityTERN Australia
The AusCover Facility provides nationally consistent satellite-derived biophysical data products for Australia through a network of regional nodes. It produces long-term time series data on topics like vegetation indices, fractional cover, and burned area. The facility also operates a ground validation program to assess product accuracy. Researchers can use AusCover data to study issues like climate impacts on vegetation, tracking land cover change, and monitoring fire regimes. The facility aims to support ecosystem science and natural resource management applications.
The document discusses the development of an EVA Infrared Camera by NASA Langley Research Center to help astronauts detect damage during space shuttle missions. It combined research expertise in infrared thermography with flight hardware development expertise. Key factors in its success included collaboration between researchers and developers, early risk retirement through testing, and clear requirements. The project demonstrated how bridging the gap between research and operations can result in stronger solutions to meet NASA's needs.
The document discusses surface reflectance algorithms for MODIS and VIIRS sensors. It provides an overview of a land climate data record approach using multiple sensors. It also summarizes validation efforts of the 6S radiative transfer code and the MODIS Collection 5 and Collection 6 surface reflectance algorithms against AERONET measurements. Initial validation of the VIIRS surface reflectance product shows performance within expected uncertainty ranges.
Larry Barone and Gary Martin - Leveraging a Space Agency's View Of Earth To A...Shane Mitchell
NASA collects extensive Earth observation data that can help address societal challenges like climate change. The document proposes public-private partnerships where NASA leverages its Earth science capabilities and critical information systems. NASA would partner with other organizations in new ways to provide data, science, and technologies that can help monitor issues like wildfires and pipelines, provide disaster response support, and gain situational awareness for first responders. These partnerships aim to build on NASA's core capabilities and information systems to generate innovative solutions for societal needs.
Kasper Johansen_Field and airborne data collection by AusCover: a tropical ra...TERN Australia
The document describes a field and airborne data collection campaign conducted by AusCover in a tropical rainforest site called Robson Creek. The campaign involved collecting field data through measurements of vegetation structure, leaf area index, hemispherical photos, and more. Airborne data was also collected through LiDAR and hyperspectral imaging from aircraft. The data collection was designed to validate satellite data and the various data sets would be made available through an online portal and shared with collaborators for research on topics like biomass estimation and vegetation mapping.
Colin Prentice_What better modelling of ecosystems could achieve - TERN's e-M...TERN Australia
This document discusses the potential for improved ecosystem modeling using the e-MAST facility. It notes that current ecosystem models often make incorrect assumptions and give divergent predictions when applied at large scales. The e-MAST plus initiative is working to address these issues through several collaborative projects that work to systematically apply observational data to inform, test, constrain and improve models. This includes developing benchmark testing systems, applying continental-scale data constraints, and linking experimental data with ecosystem modeling. The overall aim is to enable more robust and quantitative ecosystem modeling to better address important questions about topics like carbon sequestration potential, climate change impacts, and biodiversity vulnerability.
The document summarizes the findings of NASA's VIIRS Land Team regarding the utility of VIIRS Land and Cryosphere EDRs to meet NASA's science requirements. It discusses several EDRs including land surface temperature, surface type, albedo, vegetation indices, and snow cover. For most products, continuity with MODIS is important but some changes or additions to the algorithms or additional products may be needed. Processing via NASA's Land PEATE could produce climate-quality VIIRS science products compatible with MODIS.
The document discusses the importance of implementing safety requirements early in program development. Requirements related to orbital debris, mishaps, and human rating must be traced from higher-level documents down to implementation at lower levels. Conducting an applicability study can help determine which requirements apply at each level. Implementing requirements early through this process can reduce costs and risks and help ensure mission success. The NASA Office of Safety and Mission Assurance oversees requirement development and helps with requirement traceability.
CERES Flight Model 5 on NPP was prepared for launch with rigorous pre-launch calibration and testing. Post-launch, independent studies will characterize instrument performance across all scales to validate data products. A strategic approach to data release aims to provide quality-controlled data while supporting continuous calibration improvement.
Ensuring the Climate Record from the NPOESS and GOES-R SpacecraftArt Charo
The document summarizes a National Research Council committee's prioritization of climate measurement capabilities that were lost or degraded following changes to the NPOESS and GOES-R satellite programs. The committee ranked measurements in four tiers based on their importance to climate science, and made recommendations to recover top-tier capabilities. Key recommendations included developing a microwave radiometer, radar altimeter, and Earth radiation budget instruments, as well as restoring hyperspectral coverage and geostationary sounders.
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1. Joint Polar Satellite System (JPSS) Environmental
Data Record Validation Program for the NPP
Cross-track Infrared Microwave
Sounding Suite (CrIMSS)
Nicholas R. Nalli,1,2 Christopher D. Barnet,1 Lihang Zhou,*1,3
Murty Divakarla,1,4 and Degui Gu5
*Presented by Lihang Zhou
1 NOAA/NESDIS/STAR, Camp Springs, Maryland, USA
2 DellServices, Federal Government, Inc., Fairfax, Virginia, USA
3 JPSS Office, Silver Spring, Maryland, USA
4 I.M. Systems Group, Inc.
5 Northrop Grumman Aerospace Systems (NGAS), Redondo Beach, CA, USA
2. With contributions from…
• G. Guo (NOAA/NESDIS/STAR)
• X. Liu, S. Kizer (NASA/LaRC)
• B. Blackwell (MIT)
• H. Kilcoyne and J. Feeley (JPSS Office)
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 2
3. Outline
• CrIMSS (CrIS/ATMS) EDR Product Overview
• Cal/Val Program Status
– Overview
– Team Members (roles and responsibilities “for the
record”)
– JPSS CrIMSS Cal/Val Phases
– Current (Pre-Launch Phase) Efforts
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 3
4. CrIMSS EDR
PRODUCT OVERVIEW
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 4
5. Atmospheric Vertical Temperature Profile (AVTP)
• EDR used for
initialization of high-
resolution NWP models,
atmospheric stability,
basic science research,
etc.
• Non-precipitating
scenes
• Key Performance
Parameter (KPP) for
lower tropospheric
CrIMSS AVTP EDR retrieved from SDR Proxy Data
temperature Acknowledgment to SOAT Members G. Guo, X. Liu, S. Kizer, and B. Blackwell
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 5
6. Atmospheric Vertical Moisture Profile (AVMP)
• EDR used for
initialization of high-
resolution NWP models,
atmospheric stability,
basic science research,
etc.
• Non-precipitating
scenes
• Key Performance
Parameter (KPP) for
lower tropospheric
CrIMSS AVMP EDR retrieved from SDR Proxy Data
water vapor Acknowledgment to SOAT Members G. Guo, X. Liu, S. Kizer, and B. Blackwell
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 6
7. Atmospheric Vertical Pressure Profile (AVPP);
Trace Gas IP and P3I
CrIMSS O3 IP retrieved from SDR
Proxy Data
• AVPP is an EDR derived Acknowledgement to SOAT Members G.
Guo, X. Liu, S. Kizer, B. Blackwell
from AVTP and AVMP
that requires validation.
• Trace gas retrievals from
sounders are desirable
for basic science
– O3 is an intermediate
product (IP) necessary
for optimal EDR
retrieval
Specification Performance Requirements
– CO and CH4 are
Parameter IORD-II NGAS SY15-0007
experimental (P3I)
Pressure Profile 4 hPa threshold, 2 hPa 3 hPa (with precip and
products (not funded goal Psurf error exclusions)
within cal/val CH4 (methane) column 1% precision, 5% n/a
program) accuracy
CO (carbon monoxide) 3% precision, 5% n/a
column accuracy
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 7
8. CrIMSS EDR
CAL/VAL PROGRAM STATUS
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 8
9. Cal/Val Program Overview
• The NPP CrIMSS EDR Validation Program is to ensure the data products comply with the
requirements of the sponsoring agencies, drawing on lessons learned from validating the
AIRS/AMSU and IASI/AMSU/MHS sounding systems.
– Using datasets proven valuable for global validation for AIRS (ECMWF, NCEP/GFS, RAOBs, etc)
– Team of Subject Matter Experts (SMEs) from both user and science communities to leverage heritage
knowledge, experience and tools as well as assure understanding of customer mission success
– Leverage existing capabilities wherever possible
• Operational real-time systems (ATOVS, GOES)
• AIRS and IASI processing and validation systems
• Routine AIRS and IASI instrument monitoring and characterization
• Intensive field campaign (aircraft sensor) cal/val experience
• To determine whether the EDRs have met their global performance specifications, a “roll-up” of
regional assessments is envisioned.
– Typical validation methods characterize the performance of the EDRs in various ensembles of cases.
– Specifically, this will involve stratifying the specs according to various bins:
• day/night
• latitude bands (i.e., polar, midlatitude, tropical)
• land/ocean/ regional
• (possibly) altitude and surface characteristics
• Assessments will also be performed against current capabilities using heritage sensors and
algorithms
– Hyperspectral AIRS and IASI systems (well established comparable products)
– ATOVS (HIRS/AMSU) operational products to demonstrate the value of the hyperspectral measurements to
the user community
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 9
10. Team Members – Roles & Responsibilities (1/3)
NOAA Team Members
EDR Name Organization Funding Agency Task
Lead Chris Barnet NOAA/NESDIS/ JPSS Lead CrIS/ATMS
STAR EDR Team
AVTP/AVMP Changyong Cao NOAA/NESDIS/ JPSS Coordination w/
STAR GSICS
AVTP/AVMP Mitch Goldberg NOAA/NESDIS/ JPSS & NOAA-PSDI NGAS-code,
STAR NUCAPS
AVTP/AVMP Anthony Reale NOAA/NESDIR/ JPSS NPROVS
STAR
CrIMSS SDR John Derber NOAA/NCEP JPSS NWP ingest
AVTP/AVMP Fuzhong Weng NOAA/NESDIS/ NOAA-PSDI MiRS
STAR
CrIMSS SDR Yong Han NOAA/NESDIS/ JPSS CrIS SDR
STAR
CrIMSS SDR Tsan Mo NOAA/NESDIS/ JPSS ATMS SDR
July 2011
STAR
Nalli, Barnet, Zhou, et al. - IGARSS-11 10
11. Team Members – Roles & Responsibilities (2/3)
NOAA-External Team Members
EDR Name Organization Funding Agency Task
CriMSS SDR Gail Bingham USU/SDL JPSS CrIS/ATMS SDR
AVTP/AVMP Bill Blackwell MIT JPSS Microwave
products
AVTP/AVMP Allan Larar NASA/LaRC JPSS EDR Validation
AVTP/AVMP Xu Liu NASA/LaRC JPSS IASI proxy, EDR
validation
AVTP/AVMP Hank SSEC JPSS SDR, PEATE
Revercomb
AVTP/AVMP Dave Tobin SSEC JPSS ARM-RAOBS
AVTP/AVMP Larrabee Strow UMBC JPSS OSS validation
AVTP/AVMP Joel Susskind NASA/GSFC JPSS AIRS proxy
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 11
12. Team Members – Roles & Responsibilities (3/3)
NOAA-External Team Members
EDR Name Organization Funding Agency Task
CrIMSS SDR Steven Beck Aerospace Corp. external RAOB,LIDAR
CrIMSS SDR Steven English UKMET external UKMET analysis
CrIMSS SDR William Bell ECMWF external ECMWF analysis
AVTP/AVMP Steve Friedman NASA/JPL NASA Sounder PEATE
AVTP/AVMP Denise Hagan NGAS NG Prime EDR
CrIMSS SDR Degui Gu Validation/SDR
coordination
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 12
13. Cal/Val Phases
• Pre-Launch
• Early Orbit Checkout (EOC)
– L + 90 days, as sensors are activated
• Intensive Cal/Val (ICV)
– Stable SDR out to L + 24 months
• Long-Term Monitoring (LTM)
– From end of ICV (L + 24 months) to the end of operational lifetime
– Characterization of all EDR products and long-term demonstration of
performance
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 13
14. EDR Validation Activities by Phase (1/2)
Pre-Launch – Early Orbit Checkout
• Pre-launch
– Global synthetic datasets
• Tests algorithm for theoretical robustness – self-consistent temperature, moisture, ozone, and cloud water profiles are “controlled”
• Simulated for a wide range of environmental scenes, including seasonal, diurnal, spatial variability, and actual sensor scanning
geometry including FOV rotation
– Proxy datasets
• Data derived from real measurements from existing satellite systems with similar specs (here AIRS/AMSU and IASI/AMSU)
• Used to test concepts and exercise CrIMSS algorithm ; support launch readiness (functionality of the code, develop methods of
empirical bias correction) and porting of algorithms
• Aqua/AIRS has advantage of having 9 IR FOVs and 01:30 orbit
• METOP/IASI has advantage of direct IR radiance spectral transform and MHS channels
• Early Orbit Checkout
– Model comparisons
• Useful at first light and for long-term monitoring
– Similar to AIRS science team activities using ECMWF and NCEP/GFS
– Compare forward models, sanity checks on “obs − calc”
– Simultaneous nadir overpass and double differencing of radiances.
• Methods are becoming mature, high level of confidence from AIRS/IASI work.
– Inter-compare with operational AIRS and/or IASI products.
• Initially (first light) use off-line versions of CrIMSS products.
– Even if retrievals are poor, having geophysical state and diagnostics can help identify problems.
• Useful to identify and mitigate issues with the NGAS EDRs
– PCA analysis of noise characteristics and instrument monitoring.
• Can be used to verify instrument noise, random and systematic components.
• Can be used to monitor instrument health.
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 14
15. EDR Validation Activities by Phase (2/2)
Intensive Cal/Val – Long-Term Monitoring
• Operational RAOBs
– Useful for long-term characterization and global latitude representation. After
couple months should begin to have significant statistics.
– Tony Reale’s NOAA Products Validation System (NPROVS)
• Dedicated RAOBs
– Useful for regional characterization.
– Will take many months (years?) to accumulate enough statistics.
– Need site support and funding for large number of RAOBs.
– Ideally coordination through GCOS Reference Upper Air Network (GRUAN)
• Intensive Field Campaigns (e.g., Tobin et al. 2006, JGR, 111; Taylor et al. 2008, BAMS, 89;
Blackwell et al. 2001, TGARS, 39)
– Useful for SDR cal/val; state specification for thorough “cal/val dissection”.
– Will attempt coordination with other cal/val leads (e.g., VIIRS clouds).
– Scientific campaigns of opportunity
• Low cost, low risk; has advantage of exploiting scientific participation; crude “dress-
rehearsal”
• NOAA Aerosols and Ocean Science Expeditions (AEROSE) (Nalli et al. 2011, BAMS), linkage
to GOES-R program
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 15
16. Current Pre-Launch Phase Efforts (1/2)
Ocean-only Cloud_Cleared (Divakarla, 2011)
• The SOAT is preparing for NPP AVTP- RMSD (K) AVMP RMSD (%)
launch with proxy datasets and
methods of evaluation
– Working toward launch readiness
Figures courtesy of SOAT team
effort: G. Guo, X. Liu, S. Kizer,
• Proxy Data Package for 19 Oct 07 B. Blackwell
_____ IASI (IR) -------- CrIMSS (IR+MW)
_____ IASI(MW) -------- CrIMSS(MW-Only)
“Focus Day” generated by SOAT
Retrieved Total Precipitable Water (cm) – Granules 139-142. (Divakarla et al., 2011)
(LaRC, MIT, NASA, and NOAA) IASI CrIMSS ECMWF
– CrIMSS EDR algorithm has
demonstrated good convergence
– Have obtained initial estimates of
OSS RTM biases
– Statistics of AVTP and AVMP
differences ECMWF analysis show
reasonable and encouraging
performance The Google-Earth Pro interface used to display CrIMSS/IASI
EDRs (and SDRs) offers a very powerful method to evaluate
EDRs qualitatively at the retrieval Field of Regard (FOR)
resolution. Many EDR products (AVTP, AVMP, Total O3 etc.)
can be cross-checked with this interface and has potential
Location of Granules
for many near real-time applications in the future.
139-142
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 16
17. Current Pre-Launch Phase Efforts (2/2)
RAOB
• NOAA AEROSE Campaigns
(Nalli et al. 2011)
– Pre-launch test of
deployment of scientific
validation campaigns of
opportunity.
– Ship-based dedicated RAOB
(PTU, z, wind, O3) over open
ocean.
– Region is of scientific interest
germane to the CrIMSS
mission.
• Saharan air layer (SAL) and
tropical cyclogenesis
• Dust and biomass burning NOAA Unique IASI Product
aerosols
• Tropospheric ozone
dynamics
• AEROSE 2010 is being used as
a field campaign proxy dataset
• AEROSE 2011 is currently
underway!
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 17
18. Summary
• The status of the NPP CrIMSS EDR Validation Program was
overviewed in this presentation. The validation program is to
ensure the data products comply with the requirements of
the sponsoring agencies. JPSS specifications for the AVTP,
AVMP and AVPP EDR products will replace IORD/NGAS specs.
• To demonstrate launch readiness, pre-launch Cal/Val efforts
are currently ongoing including the development of “proxy
datasets,” focus days, intensive campaigns-of-opportunity,
and initial tests of the IDPS EDR algorithm.
July 2011 Nalli, Barnet, Zhou, et al. - IGARSS-11 18