SNPP VIIRS SRIP Provisional Maturity (DR 7344) 474-CCR-13-1243 Eric Vermote NASA-GSFC Sadashiva Devadiga, Land PEATE/NASA-GSFC.

Slides:

Advertisements

Similar presentations

NASA DRL Support for S-NPP Direct Broadcast Users

Advertisements

1 C6 Land Science Test and Reprocessing Plan Sadashiva Devadiga (GSFC/SSC) Robert Wolfe, Ed Masuoka (GSFC) MODIS Science Team Meeting April 15-17, 2013.

1 MODAPS - Land Processing Status Robert Wolfe and Ed Masuoka Code 619, NASA GSFC Sadashiva Devadiga Sigma Space MODIS Science Team Meeting April 15-17,

SNPP VIIRS SDR RSR LUT Update: ADR 4971, CCR U. Wisconsin:Chris Moeller NASA VCST: Ning Lei, Shihyan Lee, Zhipeng Wang, Sam Anderson, Chengbo Sun,

Upgrades to the MODIS near-IR Water Vapor Algorithm and Cirrus Reflectance Algorithm For Collection 6 Bo-Cai Gao & Rong-Rong Li Remote Sensing Division,

VIIRS LST Uncertainty Estimation And Quality Assessment of Suomi NPP VIIRS Land Surface Temperature Product 1 CICS, University of Maryland, College Park;

MCST – MODLAND Eric F. Vermote –MODLAND representative.

VIIRS Land PEATE Masuoka, Wolfe, Isaacman and Devadiga.

A Tutorial on MODIS and VIIRS Aerosol Products from Direct Broadcast Data on IDEA Hai Zhang 1, Shobha Kondragunta 2, Hongqing Liu 1 1.IMSG at NOAA 2.NOAA.

Data Quality Screening Service Christopher Lynnes, Bruce Vollmer, Richard Strub, Thomas Hearty Goddard Earth Sciences Data and Information Sciences Center.

Geoscience Australia Md Anisul Islam Geoscience Australia Evaluation of IMAPP Cloud Cover Mapping Algorithm for Local application. Australian Government.

Menghua Wang NOAA/NESDIS/ORA E/RA3, Room 102, 5200 Auth Rd.

Data Quality Screening Service Christopher Lynnes, Richard Strub, Thomas Hearty, Bruce Vollmer Goddard Earth Sciences Data and Information Sciences Center.

POSTER TEMPLATE BY: VIIRS Active Fire algorithm integration in Suomi NPP Data Exploitation (NDE) environment: research to operations.

1 Validated Stage 1 Science Maturity Readiness Review for Surface Type EDR Presented by Xiwu Zhan December 11, 2014.

Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison Steve Ackerman Director, Cooperative Institute for Meteorological.

Introduction Land surface temperature (LST) measurement is important for understanding climate change, modeling the hydrological and biogeochemical cycles,

Surface Reflectance over Land: Extending MODIS to VIIRS Eric Vermote NASA GSFC Code 619 MODIS/VIIRS Science Team Meeting, May.

1 Validated Stage 1 Science Maturity Review for {JPSS Algorithm} Presented by Date.

Kerry Grant, Wael Ibrahim, Paula Smit, JPSS CGS Raytheon Intelligence, Information, and Services, Aurora, CO Kurt Brueske, JPSS CGS Raytheon Intelligence,

The Aerospace Corporation (Aerospace) Prelaunch Assessment of the Northrop Grumman VIIRS Cloud Mask Thomas Kopp, The Aerospace Corporation Keith Hutchison,

VALIDATION OF SUOMI NPP/VIIRS OPERATIONAL AEROSOL PRODUCTS THROUGH MULTI-SENSOR INTERCOMPARISONS Huang, J. I. Laszlo, S. Kondragunta,

1 MODIS Land C6 Schedule and Status Sadashiva Devadiga 1,2, Ye Gang 1,2 and Edward Masuoka 1 1 NASA GSFC 2 Science Systems and Applications Inc. MODIS/VIIRS.

NPP VIIRS Aerosol Products: Overview, early cal/val results, and data assimilation results from NAVDAS-AOD Edward Hyer Naval Research Laboratory JCSDA.

VIIRS CAL _ Val Ocean Color January 31, 2013 Stennis Update USM, NRL, SDSU.

1 Center for S a t ellite A pplications and R esearch (STAR) Applicability of GOES-R AWG Cloud Algorithms for JPSS/VIIRS AMS Annual Meeting Future Operational.

1 Validated Stage 1 Science Maturity Review for VIIRS Cloud Base, Nighttime Optical Properties and Cloud Cover Layers Products Andrew Heidinger September.

Overview of Case Studies of VIIRS Aerosol Products for Operational Applications Amy Huff Pennsylvania State University VIIRS Aerosol Science and Operational.

C6 Science Test Plan Draft Version 1 07/22/2009 your feedbacks to

Evaluation of the Suomi NPP VIIRS Land Surface Temperature Product 1 CICS, University of Maryland, College Park; 2 STAR/NESDIS/NOAA Yuling Liu 1, Yunyue.

Andrew Heidinger and Michael Pavolonis

“Surface Reflectance over Land in Collection 6” Eric Vermote NASA/GSFC Code 619

LDOPE QA Tools Sadashiva Devadiga (SSAI) MODIS LDOPE January 18, 2007.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Using CALIPSO to Explore the Sensitivity to Cirrus Height in the Infrared.

1 Shobha Kondragunta NOAA/NESDIS Center for Satellite Applications and Research Introducing VIIRS Aerosol Products for Global and Regional Model Applications.

CBH statistics for the Provisional Review Curtis Seaman, Yoo-Jeong Noh, Steve Miller and Dan Lindsey CIRA/Colorado State University 12/27/2013.

Cloud Mask: Results, Frequency, Bit Mapping, and Validation UW Cloud Mask Working Group.

Characterization and Evaluation of NPP VIIRS Aerosol EDR Performance Based Upon Prelaunch Analysis N. Christina Hsu (NASA/GSFC) Istvan Laszlo (NOAA/STAR)

1 Validated Stage 1 Science Maturity Review for VIIRS Land Surface Albedo Dongdong Wang, Shunlin Liang, Yuan Zhou University of Maryland, College Park.

Request for Snow Cover EDR Beta Maturity Cryosphere Products Validation Team Jeff Key, NOAA/NESDIS/STAR, Team Lead Paul Meade, Cryosphere Products JAM.

Summary of Requests for Beta Maturity Snow and Ice EDRs and IPs Beta Maturity Date: 14 March 2013 (MX 6.7) Cryosphere Products Validation Team Jeff Key,

STAR Algorithm and Data Products (ADP) Provisional Maturity Review Suomi NPP Surface Type EDR Products X. Zhan, C. Huang, R. Zhang, K. Song, M. Friedl,

Page 1 Land PEATE support for CERES processing Ed Masuoka Gang Ye August 26, 2008 CERES Delta Design Review.

Land and cryosphere products from Suomi NPP VIIRS: Overview and Status Miguel Román, Code 619, NASA GSFC; Chris Justice, Ivan Csiszar, Eric Vermote, Robert.

Marco Vargas VI-EDR Algorithm Lead Tomoaki Miura VI-EDR Cal/Val Lead

April NASA Biodiversity and Ecological Forecasting Team Meeting 2013 Extending the Terrestrial Observation and Prediction System (TOPS) to Suomi-NPP.

Initial Analysis of the Pixel-Level Uncertainties in Global MODIS Cloud Optical Thickness and Effective Particle Size Retrievals Steven Platnick 1, Robert.

0 0 Robert Wolfe NASA GSFC, Greenbelt, MD GSFC Hydrospheric and Biospheric Sciences Laboratory, Terrestrial Information System Branch (614.5) Carbon Cycle.

Request for VIIRS Ice Surface Temperature EDR Provisional Maturity Cryosphere Products Validation Team Jeff Key, NOAA/NESDIS/STAR, Team Lead Paul Meade,

1 Validated Stage 1 Science Maturity Review for Surface Reflectance Eric Vermote Sept 04, 2014.

Cloud property retrieval from hyperspectral IR measurements Jun Li, Peng Zhang, Chian-Yi Liu, Xuebao Wu and CIMSS colleagues Cooperative Institute for.

S. Platnick 1, M. D. King 1, J. Riedi 2, T. Arnold 1,3, B. Wind 1,3, G. Wind 1,3, P. Hubanks 1,3 and S. Ackerman 4, R. Frey 4, B. Baum 4, P. Menzel 4,5,

Request for VIIRS Ice Surface Temperature EDR Beta Maturity Cryosphere Products Validation Team Jeff Key, NOAA/NESDIS/STAR, Team Lead Paul Meade, Cryosphere.

A surface reflectance standard product from LDCM and supporting activities Principal Investigator Dr. Eric Vermote Geography Dept., University of Maryland.

MODIS Near-IR Water Vapor and Cirrus Reflectance Algorithms & Recent Updates for Collection 5 Bo-Cai Gao Remote Sensing Division, Code 7232, Naval Research.

Armando DATA FILTERING PLAN v2 Tucson, AZ 6/30/11.

Review of the 2012 Suomi NPP Applications Workshop: Outcomes, Results, Progress Forrest Melton November 18, 2014 Suomi NPP Applications.

VIIRS Cloud Mask (VCM) CCR Dr. Thomas Kopp – VCM Validation Lead Dr. William Thomas – VCM JAM 1.

MODIS Atmosphere Level-3 Product & Web Site Review Paul A. Hubanks Science Systems and Applications, Inc.

SeaWiFS Highlights July 2001 SeaWiFS Views Eruption of Mt. Etna On July 24, 2001, SeaWiFS viewed a greenish-orange plume resulting from the ongoing eruption.

Request for VIIRS Sea Ice Characterization EDR (Ice Age) Beta Maturity Cryosphere Products Validation Team Jeff Key, NOAA/NESDIS/STAR, Team Lead Paul Meade,

Snow Field over Kansas 2/22 – 2/ Adjusted data.

1 MODIS Land C6 Robert Wolfe NASA GSFC Code MODIS &VIIRS Science Team Meeting May 14, 2008.

Near Real-Time Status of MODIS and VIIRS Land products Ed Masuoka, NASA/GSFC 619 Gang Ye, Carol Davidson, Sadashiva Devadiga and Jeff Schmaltz, SSAI/GSFC.

A Atmospheric Correction Update and ACIX Status

MODIS SST Processing and Support for GHRSST at OBPG

VIPLab QA Data Filtering Process

Problem: Brad noticed that lake ice is not being flagged in the AOD retrievals in this Feb 12, 2018 case on the west side of Lake Michigan. As a result,

Igor Appel Alexander Kokhanovsky

The Image The pixels in the image The mask The resulting image 255 X

Presentation transcript:

SNPP VIIRS SRIP Provisional Maturity (DR 7344) 474-CCR Eric Vermote NASA-GSFC Sadashiva Devadiga, Land PEATE/NASA-GSFC

SNPP VIIRS SR Provisional Maturity 474-CCR This CCR declared that SNPP VIIRS Surface Reflectance Intermediate Product (VIIRS-Surf-Refl-IP) be upgraded to provisional maturity level with implementation of 474-CCR containing DRs 4488, 7141 and 7142 at IDPS. Algorithm build version Mx8.3 implemented 474-CCR and was put in operation at IDPS on March 18, Analysis of SR-IP from IDPS operation confirms successful implementation of the DRs with no negative impact on any downstream EDRs. Following slides present the DRs and verification of these DRs in the operational Mx83 data.

DRs in CCR-1078 DR#DescriptionStatus 4488Retrieve reflectance under all atmospheric conditions for all non-ocean (not sea-water) pixels except for night pixels and where input L1B is invalid Included in the operational build version Mx Include an additional QF Byte (QF7) in the SR-IP. The additional QF byte Bit 0: Snow (0 - No, 1 – Yes). Copied from Cloud Mask IP Bit 1: Adjacent Cloud (0 – No, 1 –yes). Copied from Cloud Mask IP Bits 2-3: Aerosol quantity (00 – Climatology, 01 – low, 10 – Average, 11 – High). Code segment from MODIS PGE11 updated for VIIRS. Bit 4: Thin Cirrus (0 – No, 1-Yes) copied from Cloud Mask IP Included in the operational build version Mx Replace NAAPS/Climatology with MODIS Climatology (0.06) within the surface reflectance algorithm. This doesn’t change the AOTIP product. Included in the operational build version Mx83

Surface Reflectance IP from Day (4/4/2014) Retrieved under all atmospheric conditions for all non-ocean (not sea-water) pixels except for night pixels and where input L1B is invalid Retrieval using Mx73 at Land PEATE – SRIP not retrieved under confidently cloud and heavy aerosol, using NAAPS/Climatology when AOTIP is not retrieved. Retrieval using Mx83 at IDPS – SRIP retrieved under all atmospheric condition replacing NAAPS/Climatology with MODIS Climatology.. Moderate Res Image Res

SR IP: Retrieved under Confident Cloud Day , Granule 13:50 Windows 1: SR-IP, Mx73 2: SR-IP Mx83 3: VCM Mx83 Confident clear Probable clear Probable cloud Confident cloud VCM – Cloud detection

QF7 in SR IP: Bit 0 (Snow/Ice – Copied from VCM) Day , Granule 19:00 Windows 1: SR-IP, Mx83 2: SR-IP, QF7-Bit0, Mx83 3: VCM, QF1-Bit5, Mx83

QF7 in SR IP: Bit 1 (Adjacent Cloud – Copied from VCM) Day , Granule 19:00 Windows 1: SR-IP, Mx83 2: SR-IP, QF7-Bit1, Mx83 3: VCM, QF1-Bit2-3, Mx83 Confident clear Probable clear Probable cloud Confident cloud VCM – Cloud detection

QF7 in SR IP: Bit 4 (Thin Cirrus – Copied from VCM) Day , Granule 19:00 Windows 1: SR-IP, Mx83 2: SR-IP, QF7-Bit4, Mx83 3: VCM, QF6-Bit3, Mx83

QF7 in SR IP: Bit 2-3 (Aerosol Quantity - MODIS Approach) Day , Granule 19:00 Windows 1: SR-IP, Mx83 2: SR-IP, QF7, Bit2- 3, Mx83 3: VCM, QF1-Bit2-3, Mx83 Confident clear Probable clear Probable cloud Confident cloud Climatology Low Average High SR-IP – Aerosol Quantity VCM – Cloud detection

QF7 in SR IP: Bit 2-3 (Aerosol Quantity - MODIS Approach) Day , Granule 19:00 Windows 1: AOT-IP, QF3, Bit2-4, Mx83 2: SR-IP, QF7, Bit2-3, Mx83 3: VCM, QF1-Bit2-3, Mx83 Climatology Low Average High Confident clear Probable clear Probable cloud Confident cloud NAAPS/Climatology Retrieved/Interpolated AOTIP – Aerosol Processing SR-IP – Aerosol Quantity VCM – Cloud detection

SNPP VIIRS SR Provisional Maturity Conclusion Analysis of SR-IP from IDPS with Mx83 in operation confirms successful implementation of the DRs required for provisional maturity of the product Review of downstream products since the transition of Mx83 into operation did not reveal any adverse impact. Science team recommends reconfirmation of approval of provisional maturity for the product.