JPSS Proving Ground and Risk Reduction
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JPSS Proving Ground and Risk Reduction Mitch Goldberg, JPSS Program Scientist (NOAA) John Furgerson , JPSS User Liaison (NOAA) Ingrid Guch , STAR JPSS PGRR Co-Chair January 12, 2012 - NOAA AQ Proving Ground. TOPICS. Overview of JPSS Compare JPSS Products with GOES-R

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Jpss proving ground and risk reduction mitch goldberg jpss program scientist noaa

JPSS Proving Ground and Risk Reduction

Mitch Goldberg, JPSS Program Scientist (NOAA)

John Furgerson, JPSS User Liaison (NOAA)

Ingrid Guch, STAR JPSS PGRR Co-Chair

January 12, 2012 - NOAA AQ Proving Ground


Topics

TOPICS

Overview of JPSS

Compare JPSS Products with GOES-R

Scope of JPSS PGRR Program

Overview of VIIRS and examples of early imagery

Joint Polar Satellite System


Jpss program overview

JPSS Program Overview

  • Benefits

  • Maintains continuity of weather/climate observations and critical environmental data from the polar orbit

  • NOAA – JPSS provides improved continuity for POES

    • HIRS > CrIS

    • AMSU > ATMS

    • AVHRR > VIIRS

    • SBUV2 > OMPS

  • NASA – JPSS provides continuity for EOS

    • AIRS > CrIS

    • AMSU > ATMS

    • MODIS > VIIRS

    • OMI > OMPS

    • CERES > CERES

    • AMSR-E > AMSR2 (JAXA-GCOM-W)

JPSS-1 Satellite

(NPP-clone)


System description space segment

System Description(Space Segment)

Joint Polar Satellite System


Schedule

Schedule

MetOp-A

MetOp-B

MetOp-C

EPS-SG

NOAA-19

NPP

JPSS-1

JPSS-2

GCOM W-1

Free-Flyer

Joint Polar Satellite System


Jpss proving ground and risk reduction mitch goldberg jpss program scientist noaa

CLASS

SDS

Data Delivery

Data Delivery

Data Delivery

Data Delivery

DataManagement

DataManagement

DataManagement

DataManagement

JPSS System Architecture

Weather / Climate Products

Supporting Space

TDRSS

GPS

TDRSS

Space

Segment

JPSS1330

DWSS1730

LaunchSupportSegment

NPOESSPreparatoryProject

Offline Support

  • Algorithm Support

  • Integrated Support Facility

  • Calibration/Validation

EELV

Weather Centrals

NAVO

FNMOC

AFWA

NESDIS

AlternateMMC

Svalbard

Primary T&C

VAFB

FNMOC

Interface Data Processing Segment

AFWA

NESDIS

NAVO

DQM

White SandsComplex

LRD

HRD

MissionManagementCenter (MMC)

Processing

Processing

Processing

Processing

Processing

Field Terminal Segment

15 Globally Distributed Receptor sitesInterconnected by Commercial Fiber

Ingest

Ingest

Ingest

Ingest

Mission Data

Command, Control & Communication Segment


Functional scope the nesdis central

Functional Scope: The NESDIS Central

NOAA

NPP

Data Exploitation

(NDE)

  • Office of Satellite & Product Operations (OSPO) will provide common services:

  • Data Center Operations

  • Telecommunications

  • User Services (Help Desk)

  • Config. Management

  • Security Controls

  • Distribution

  • Ingest

NOAA Satellite Operations Facility (NSOF)

Suitland, MD

NOAA Environmental Satellite Processing Center

(ESPC)

JPSS

Interface

Data Processing

Segment

(IDPS)

Algorithm Development

xDR Subscription

Requests

xDRs

xDRs

Data Delivery

Reports

NOAA-Unique

Products

NOAA

JPSS

Mission Management Center

(MMC)

NPP

Status

xDRs

Product

Processing

Components

Work

Request/

Status

Tailored

Products

NASA

Science

Data

Segment

(SDS)

User

Services

Request/

Response

NOAA-Unique

Products

End-users

(NWS, NOS,

OAR,

& external users)

Long-Term

Archive

(CLASS)

xDRs


Direct readout stations using xband

Direct Readout Stations using Xband


Idps edrs

IDPS EDRs

VIIRS (22)

ALBEDO (SURFACE)

CLOUD BASE HEIGHT

CLOUD COVER/LAYERS

CLOUD EFFECTIVE PART SIZE

CLOUD OPTICAL THICKNESS

CLOUD TOP HEIGHT

CLOUD TOP PRESSURE

CLOUD TOP TEMPERATURE

ICE SURFACE TEMPERATURE

NET HEAT FLUX

OCEAN COLOR/CHLOROPHYLL

SUSPENDED MATTER

VEGETATION INDEX

AEROSOL OPTICAL THICKNESS

AEROSOL PARTICLE SIZE

ACTIVE FIRES

IMAGERY

SEA ICE CHARACTERIZATION

SNOW COVER

SEA SURFACE TEMPERATURE

LAND SURFACE TEMP

SURFACE TYPE

CrIS/ATMS (3)

ATM VERT MOIST PROFILE

ATM VERT TEMP PROFILE

PRESSURE (SURFACE/PROFILE)

GCOM AMSR-2

(11)

OMPS (2)

CLOUD LIQUID WATER

PRECIPITATION TYPE/RATE

PRECIPITABLE WATER

SEA SURFACE WINDS SPEED

SOIL MOISTURE

SNOW WATER EQUIVALENT

IMAGERY

SEA ICE CHARACTERIZATION

SNOW COVER/DEPTH

SEA SURFACE TEMPERATURE

SURFACE TYPE

O3 TOTAL COLUMN

O3 NADIR PROFILE

CERES (4)

DOWN LW RADIATION (SFC)

DOWN SW RADIATION (SFC)

NET SOLAR RADIATION (TOA)

OUTGOING LW RADIATION (TOA)

TSIS (1)

SARR &

SARP

SOLAR IRRADIANCE

A-DCS

EDRs with Key Performance Parameters

KEY

JPSS Program

(Host TBD)

JPSS-1

GCOM

Joint Polar Satellite System


Jul 2012 product suite

Jul 2012 Product Suite

  • Products with NDE Operations Planning Dates

  • Assumes Oct 25, 2011 launch

Blue – IDPS

Yellow - NDE


Sep dec 2012 product suite

Sep – Dec 2012 Product Suite

  • Products with NDE Operations Planning Dates


Jan feb 2013 product suite

Jan – Feb 2013 Product Suite


April 2013 product suite

April 2013 Product Suite


Jun 2013 sep 2014 product suite

Jun 2013 – Sep 2014 Product Suite


Goes r vs jpss idps products

GOES-R vs JPSS IDPS Products

  • Aerosol Detection (including Smoke and Dust)

  • Aerosol Particle Size

  • Suspended Matter / Optical Depth

  • Volcanic Ash Detection and Height

  • Aircraft Icing Threat

  • Cloud & Moisture Imagery (KPPs)

  • Cloud Layers / Heights & Thickness

  • Cloud Ice Water Path

  • Cloud Liquid Water

  • Cloud Optical Depth

  • Cloud Particle Size Distribution

  • Cloud Top Phase

  • Cloud Top Height

  • Cloud Top Pressure

  • Cloud Top Temperature

  • Cloud Type

  • Clear Sky Masks

  • Fire / Hot Spot Characterization

  • (red = baseline)

  • Aerosol Optical Thickness

  • Aerosol Particle Size

  • Imagery

  • Cloud Base Height

  • Cloud Coverage/Layers

  • Cloud Effective Particle Size

  • Cloud Ice Water Path

  • Cloud Liquid Water

  • Cloud Mask (IP)

  • Cloud Optical Thickness

  • Cloud Top Height

  • Cloud Top Pressure

  • Cloud Top Temperature

  • Active Fires

Joint Polar Satellite System


Goes r vs jpss products

GOES-R vs JPSS Products

  • Probability of Rainfall

  • Rainfall Potential

  • Rainfall Rate / QPE

  • Legacy Atm. Vertical Moisture Profile

  • Legacy Atm. Vertical Temperature

  • Profile Derived Stability Indices (5)

  • Total Precipitable Water

  • Land Surface (Skin) Temperature

  • Surface Albedo

  • Surface Emissivity

  • Vegetation Fraction

  • Green Vegetation Index

  • Sea & Lake Ice / Age

  • Sea & Lake Ice / Concentration

  • Sea & Lake Ice / Extent

  • Sea & Lake Ice / Motion

  • Ice Cover / Landlocked: Hemispheric Snow Cover

  • Snow Depth (Over Plains)

  • Sea Surface Temps

  • Atmospheric Vertical Moisture Profile

  • Atmospheric Vertical Temperature Profile

  • Ozone Total

  • ColumnOzoneProfile

  • Land Surface Temperature

  • Albedo (Surface)

  • Vegetation Index

  • Sea Ice Concentration

  • Ice Surface Temperature

  • Snow Cover

  • Sea Surface Temperature

  • Ocean Color

  • Suspended Matter

Joint Polar Satellite System


Proving ground risk reduction for jpss

Proving Ground & Risk Reduction for JPSS

  • The JPSS Proving Ground and Risk Reduction program’s primary objective is to maximize the benefits and performance of NPP/JPSS data, algorithms, and products for downstream operational and research users (gateways to the public) through:

    • Detailed characterization of data attributes such as uncertainty (accuracy and precision) and long-term stability

    • Engaging users to enhance their applications (and develop new ones) by working together to facilitate optimal utilization of JPSS data, algorithms and products in combination with other data sources through onsite/offsite testbeds, experimental data streams, and intercomparisons of enhancements with baselines

    • Education, Training and Outreach

    • Facilitating transition of improvements (new algorithms/applications) to operations.


Call for proposals due jan 20 2012

Call for proposals due Jan 20, 2012

  • Introduction

    • Identify and describe end user application(s) and importance, and the benefit JPSS data can provide

    • Identify and describe any current limitation(s), requiring additional research and/or feedback to further realize this benefit.

    • Identify a user that will be engaged, and describe how you will engage the user, regularly, to understand JPSS products, provide test datasets and to obtain feedback. 

  • Proposed Work and Technical Approach

    • Describe methodology to use JPSS data (and other data sources, if necessary) to improve the identified user application.

  • Milestones and deliverables


Projects need to be supportive of noaa goals

Projects need to be supportive of NOAA Goals


Application areas

Application Areas

  • Cal/Val Applications

  • Tropical Cyclone Applications

  • Cryosphere Applications

  • Severe Weather/Aviation Applications

  • Ocean/Coastal Applications (Coral Bleaching, Harmful Algle Bloom alerts)

  • Land Applications (Agriculture, Droughts)

  • Hazard Applications (Smoke, Fire, Aerosols, Air Quality, Flash Floods)

  • Data Assimilation Applications

  • Imagery/Visualization Applications

  • Climate Applications


Developer user application teams duaps

Developer - User Application Teams (DUAPs)

NWP Team

Tropical Cyclone Team

Fire Weather & Air Quality Team

Severe Weather and Transportation Hazard Team

Ocean Ecosystems Team

Land Ecosystems Team

Cryosphere Team

Hydrology Team

Testbed Team

Joint Polar Satellite System


Jpss proving ground and risk reduction mitch goldberg jpss program scientist noaa

Current Projects

Joint Polar Satellite System


Jpss current portfolio of user engagement activities

JPSS Current Portfolio of User Engagement activities

  • JCSDA CrIS/ATMS Radiance Assimilation Experiments

    • POCs – Sid Boukabara (NOAA), Nancy Baker(NRL)

    • Outcome - Impact assessments and improved utilization of radiances

  • Alaska High Latitude Proving Ground

    • POC – Gary Hufford/Tom Heinrich

    • Outcome - Upgrade X-band receiver, generate NPP products, forecaster training, product evaluation and feedback, compare operational products with alternative products using CSPP.

  • Community Satellite Processing Package (CSPP)

    • POC – Allen Huang/Liam Gumley

    • Outcome - Software package/testbed containing IDPS algorithms and capability of alternative algorithms for intercomparisons

Joint Polar Satellite System


Jpss current portfolio of user engagement activities1

JPSS Current Portfolio of User Engagement activities

  • Utility of NPP/JPSS Data to Improve Situational Awareness and Short-term Forecasts in WFO Operations

    • POC – Gary Jedlovec, SPORT

    • Outcome - AWIPS/AWIPSII plug-ins for VIIRS SDRs/EDRs, RGB products, training of selected WFOs by adapting current MODIS and AIRS modules, feedback, close coordination with Alaska Proving Ground, and with NRL, CIRA and CIMSS.

  • SPoRT will use established collaborative partnerships to disseminate VIIRS data and products to various WFOs to engage forecasters in an evaluation of selected products to address specific forecast challenges.

Joint Polar Satellite System


Jpss current portfolio of user engagement activities2

JPSS Current Portfolio of User Engagement activities

  • Application of JPSS Imagers and Sounders to Tropical Cyclone Track & Intensity Forecasting

    • POC – Mark DeMaria, John Knaff, Steve Miller

      • Users – Brennan, Beven (NHC), Fukada (JTWC)

    • Outcome - VIIRS will improve center location, Soundings from CrIS and ATMS to improve intensity forecasting. Information used in existing operational statistical-dynamical intensity forecast model. Strong user engagement with forecasters at NHC and JTWC.

  • NRL/CIRA NEXSAT VIIRS Imagery Demonstrations

Joint Polar Satellite System


Visible infrared imaging radiometer suite raytheon sas el segundo ca

Visible Infrared Imaging Radiometer SuiteRaytheon SAS El Segundo, Ca

Description

  • Purpose: Global observations of land, ocean, & atmosphere parameters at high temporal resolution (~ daily)

  • Predecessor Instruments: AVHRR, OLS, MODIS, SeaWiFS

  • Approach: Multi-spectral scanning radiometer (22 bands between 0.4 µm and 12 µm) 12-bit quantization

  • Swath width: 3000 km

  • Spatial Resolution

  • 16 bands at 750m

  • 5 bands at 325m

  • DNB

VIIRS on NPP


Viirs data products

VIIRS Data Products

  • Imagery & Cloud

  • Imagery

  • Cloud Mask

  • Cloud Optical Thickness

  • Cloud Effective Particle Size Parameter

  • Cloud Top Parameters

  • Cloud Base Height

  • Cloud Cover/Layers

  • Aerosol

  • Aerosol Optical Thickness

  • Aerosol Particle Size Parameter

  • Suspended Matter

Land

  • Active Fire

  • Land Surface Albedo

  • Land Surface Temperature

  • Ice Surface Temperature

  • Sea Ice Characterization

  • Snow Cover/Depth

  • Vegetation Index

  • Surface Type

    Ocean

  • Sea Surface Temperature

  • Ocean Color/Chlorophyll


Viirs prelaunch performance npp f1 bands and snr nedt

VIIRS Prelaunch Performance(NPP F1 Bands and SNR/NEDT)

Courtesy of H. Oudrari


Jpss proving ground and risk reduction mitch goldberg jpss program scientist noaa

VIIRS Improvements From AVHRR:

Radiometric properties

Greater spectral coverage with increased radiometric quality


Jpss proving ground and risk reduction mitch goldberg jpss program scientist noaa

  • MODIS

  • 8 405 - 420

  • 9 438 - 448

  • 10 483 - 493

  • 12 546 - 556

  • 1 620 - 670

  • 13 662 - 672

  • 15 743 - 753

  • 16 862 - 877

  • 2 841 - 877

  • 5 1.23 - 1.25

  • 26 1.36 - 1.39

  • 6 1.63 - 1.65

  • 7 2.11 - 2.16

  • 20 3.66 - 3.84

  • 23 4.02 - 4.08

  • 29 8.40 - 8.70

  • 31 10.78 - 11.28

  • 32 11.77 - 12.27

  • 13.2 – 13.5

  • 13.5 – 13.8

  • 13.8 – 14.1

  • 14.1 – 14.4

AVHRR

1 580 - 680

2 840 - 940

3 3.55 - 3.93

4 10.3 - 11.3

5 11.5 - 12.5

VIIRS

M1 402 – 422 (750m)

M2 436 - 464

M3 478 - 498

M4 545 - 565

I1 580 – 680 (375m)

M5 662 - 682

M6 744 - 758

M7 845 - 885

I2 845 - 885

M81.23 - 1.25

M91.371 - 1.385

M101.58 - 1.64

I31.58 - 1.64

M112.235 - 2.285

M123.61 - 3.79

I43.55 - 3.93

M133.97 - 4.13

M148.40 - 8.7

M1510.3 - 11.3

M1611.5 - 12.5

I510.6 - 12.5

  • ABI

  • 450 – 490 (1km)

  • 590 – 690 (.5)

  • 846 – 885 (1)

  • 4 1.37-1.39 (2)

  • 5 1.58 - 1.64 (1)

  • 6 2.23 – 2.28 (2)

  • 7 3.8 – 4.0

  • 8 5.77 – 6.6

  • 9 6.75 – 7.15

  • 10 7.24 – 7.44

  • 8.3 – 8.7

  • 9.42 – 9.8

  • 13 10.1 – 10.6

  • 14 10.8 – 11.6

  • 15 11.8 – 12.8

  • 16 13.0 – 13.6

Spectral bands

of polar imagers

(nm or um)


Jpss proving ground and risk reduction mitch goldberg jpss program scientist noaa

Grass


First global viirs image

First Global VIIRS Image

VIIRS


Jpss proving ground and risk reduction mitch goldberg jpss program scientist noaa

VIIRS has a very large cross track and

near constant spatial resolution


Jpss proving ground and risk reduction mitch goldberg jpss program scientist noaa

NPP VIIRS True Color Examples

Colorado

11.24.2011 1845 Z, Near Edge of Scan

11.24.2011 2028 UTC, Near Nadir

 VIIRS maintains similar spatial resolution quality at edge of 3000 km swath


Jpss proving ground and risk reduction mitch goldberg jpss program scientist noaa

NPP VIIRS True Color Examples

Edge of Scan Intercomparisons

NPP VIIRS

11-24-11 1845Z

NOAA-19 AVHRR

11-24-11 2000Z

NOAA-19 AVHRR

11-24-11 2000Z

Aqua MODIS

11-24-11 1840Z

NPP VIIRS

11-24-11 1845Z


Jpss proving ground and risk reduction mitch goldberg jpss program scientist noaa

NPP VIIRS DNB Example


Jpss proving ground and risk reduction mitch goldberg jpss program scientist noaa

Moonlight Availability

Gray Shading= solar zenith angle,Red Line= solar terminator

Blue Shading= lunar zenith angle,Blue Line= lunar terminator

5-Year (2011-2015) Statistics

(Example)

Simulated Satellite Orbits

 ~ 40% of nighttime observations offer lunar illumination sufficient to enable many environmental applications, including the following...


Actively burning wild fires

Actively Burning Wild Fires

Ranch Fire

Buckweed Fire

Witch Creek

Fire

California

Harris

Fire

10/22/2007

Mexico

Ensenada

Fire

  • Conventional 3.9 µm tells us where hot spots are located, but including low-light visible tells us the subset of those areas that are actively flaming (discriminating from smoldering areas).


Volcanic ash plumes lava flows

Volcanic Ash Plumes & Lava Flows

Chaitén, Chile 6/18/2008

Nabro, Eritrea 6/9-14/2011

Somalia

Many forms of low-light visible detection are possible, including ash from moonlight, lava & fires, and plume-induced lightning.


Conclusions

Conclusions

JPSS Mission will provide:

Input Observations for Weather Forecast Models

CrIS, ATMS, VIIRS, OMPS & GCOM

Short term Environmental Observations

(Events)

VIIRS, OMPS, CrIS, ATMS & GCOM

Long term Environmental Observations

(Climate Change Detection)

CERES, TSIS, VIIRS, OMPS, CrIS, ATMS & GCOM

User Engagement is critical for ultimate mission success


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