JPSS Proving Ground

Report
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
1
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
2
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
JPSS-1 Satellite
(NPP-clone)
• AIRS > CrIS
• AMSU > ATMS
• MODIS > VIIRS
• OMI > OMPS
• CERES > CERES
• AMSR-E > AMSR2 (JAXA-GCOM-W)
3
System Description
(Space Segment)
NOAA
Heritage
NASA
Heritage
AMSU
AMSU
ATMS
HIRS
AIRS
CrIS
AVHRR
MODIS
JPSS Instrument
VIIRS
SBUV-2
OMI
OMPS
ERBE
CERES
CERES
Joint Polar Satellite System
Measurement
ATMS and CrIS together provide profiles of
atmospheric temperature, moisture, and
pressure
Provides daily high-resolution imagery and
radiometry across the visible to long-wave
infrared spectrum
Spectrometers with UV and IR bands for
ozone total column measurements
Scanning radiometer which supports
studies of Earth Radiation Budget
4
Schedule
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
MetOp-A
MetOp-B
MetOp-C
EPS-SG
NOAA-19
NPP
JPSS-1
JPSS-2
GCOM W-1
Free-Flyer
Joint Polar Satellite System
5
JPSS System Architecture
TDRSS
Supporting Space
Space
Segment
GPS
Weather / Climate Products
TDRSS
JPSS
1330
DWSS
1730
Launch
Support
Segment
NPOESS
Preparatory
Project
Offline Support
• Calibration/Validation
EELV
Weather Centrals
VAFB FNMOC
AFWA
NAVO
Svalbard
Primary T&C
Mission
Management
Center (MMC)
15 Globally Distributed Receptor sites
Interconnected by Commercial Fiber
AFWA
SDS
NESDIS
Interface Data Processing Segment
NESDIS
NAVO
White Sands
Complex
FNMOC
CLASS
LRD
Data Delivery
Data Delivery
Data Delivery
Data Delivery
Processing
Processing
Processing
Processing
DQM
Alternate
MMC
• Algorithm Support
• Integrated Support Facility
HRD
Field Terminal Segment
Data
Management
Ingest
Data
Management
Ingest
Data
Management
Ingest
Data
Management
Ingest
Mission Data
Command, Control & Communication Segment
6
Functional Scope:
The NESDIS Central
Office of Satellite &
Product Operations
(OSPO) will provide
common services:
NOAA Satellite Operations Facility (NSOF)
Suitland, MD
xDRs
NASA
Science
Data
Segment
(SDS)
JPSS
Interface
Data
Processing
Segment
(IDPS)
NOAA Environmental
Satellite Processing
Center
(ESPC)
Algorithm
Development
xDR Subscription
Requests
xDRs
Data Delivery
Reports
JPSS
Mission
Management
Center
(MMC)
NOAA-Unique
Products
NPP
Status
Work
Request/
Status
NOAA
NPP
Data
Exploitation
(NDE)
NOAA
xDRs
Tailored
Products
User
Services
Request/
Response
Product
Processing
Components
• Data Center Operations
• Telecommunications
• User Services (Help
Desk)
• Config. Management
• Security Controls
NOAA-Unique
Products
• Distribution
• Ingest
End-users
(NWS, NOS,
OAR,
& external users)
xDRs
NDE
Long-Term
Archive
(CLASS)
Direct Readout Stations using Xband
NDE
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)
OMPS (2)
O3 TOTAL COLUMN
O3 NADIR PROFILE
GCOM AMSR-2
(11)
CERES (4)
DOWN LW RADIATION (SFC)
DOWN SW RADIATION (SFC)
NET SOLAR RADIATION (TOA)
OUTGOING LW RADIATION (TOA)
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
ATM VERT MOIST PROFILE
ATM VERT TEMP PROFILE
PRESSURE (SURFACE/PROFILE)
SARR &
SARP
A-DCS
TSIS (1)
SOLAR IRRADIANCE
KEY
Joint Polar Satellite System
EDRs with Key Performance Parameters
JPSS-1
JPSS Program
(Host TBD)
GCOM
9
Jul 2012 Product Suite
NDE
• Products with NDE Operations Planning Dates
• Assumes Oct 25, 2011 launch
ATMS Radiances
Jul-12
ATMS Radiances (BUFR)
Jul-12
CrIS Radiances
Jul-12
CrIS Radiances (BUFR)
Jul-12
VIIRS Radiances
Jul-12
VIIRS Radiances (BUFR)
Jul-12
VIIRS Imagery
Jul-12
Blue – IDPS
Yellow - NDE
10
Sep – Dec 2012 Product Suite
NDE
• Products with NDE Operations Planning Dates
OMPS Radiances
Sep-12
Polar Winds (VIIRS BUFR)
Oct-12
Rainfall Rate (ATMS)
Oct-12
Total Precipitable Water (ATMS)
Oct-12
Snow Cover (ATMS)
Oct-12
Land Surface Emissivity (ATMS)
Oct-12
Temperature Profiles (ATMS)
Oct-12
Moisture Profiles (ATMS)
Oct-12
Cloud Liquid Water (ATMS)
Oct-12
Sea Ice Concentration (ATMS)
Oct-12
Snow Water Equivalent (ATMS)
Oct-12
Ice Water Path (ATMS)
Oct-12
Land Surface Temperature (ATMS)
Oct-12
Rain Water Path (ATMS)
Oct-12
Green Vegetation Fraction
Dec-12
Ozone Limb Profile Radiances
Dec-12
11
Jan – Feb 2013 Product Suite
Aerosol Optical Depth (AVHRR-like)
Atmospheric Moisture Profile (CrIS/ATMS)
Atmospheric Temperature Profile (CrIS/ATMS)
Clear Sky Brightness Temperatures
Cloud Top Fraction (CrIS)
Cloud Top Pressure (CrIS)
CO2 Slicing Derived Cloud Top Pressure (CrIS)
[New]
CrIS Cloud Cleared Radiances
Ocean Optimized Cloud Mask
Ozone (CrIS)
Sea Surface Temperature (SST)
Sea Surface Temperature (SST) (BUFR)
SST (AVHRR-like)
Stability Products (CrIS)
Trace Gases (Carbon Dioxide, Methane, Sulfur
Dioxide)
Blended Rain Rate
Blended SST (Imagery)
Blended Total Precipitable Water
Blended Total Precipitable Water Anomaly
Coral Reef Bleaching Indices/Alerts
SST Anomalies
SST Degree Heating Weeks
SST Hot Spots
NDE
Jan-13
Jan-13
Jan-13
Jan-13
Jan-13
Jan-13
Jan-13
Jan-13
Jan-13
Jan-13
Jan-13
Jan-13
Jan-13
Jan-13
Jan-13
Feb-13
Feb-13
Feb-13
Feb-13
Feb-13
Feb-13
Feb-13
Feb-13
12
April 2013 Product Suite
Active Fires
Aerosol Optical Thickness
Aerosol Optical Thickness (BUFR)
Aerosol Particle Size
Atmospheric Moisture Profile
Atmospheric Pressure Profile [New]
Atmospheric Temperature Profile
Cloud Base Height [New]
Cloud Cover/Layers
Cloud Effective Particle Size
Cloud Mask
Cloud Optical Thickness
Cloud Top Height (VIIRS)
Cloud Top Pressure
Cloud Top Temperature
Ice Surface Temperature [New]
Land Surface Temperature (VIIRS) [New]
Land Surface Type
Nadir Profile Ozone
Ocean Color/Chlorophyll
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
Apr-13
NDE
Ozone (BUFR)
Apr-13
Ozone Total Column
Apr-13
Quarterly Surface Type Gridded [New]
Apr-13
Sea Ice Characterization (VIIRS)
Apr-13
Snow Cover
Apr-13
Surface Albedo
Apr-13
Suspended Matter [New]
Apr-13
Vegetation Index
Apr-13
13
Jun 2013 – Sep 2014 Product Suite
Aerosol Optical Depth (OMPS LP)
Blended Ozone
Blended Snow Cover
Ozone Profile (OMPS LP)
Tropical Cyclone Intensity
AMSR-2 Radiances [New]
AMSR-2 SDR [New]
Fire & Smoke Analysis
Precipitable Water (GCOM) [New]
Precipitation (Type/Rate) GCOM [New]
Sea Ice Characterization (GCOM) [New]
Sea Surface Temperature (GCOM) [New]
Sea Surface Wind Speed (GCOM) [New]
Snow Cover/Depth (GCOM) [New]
Snow Water Equivalent (GCOM) [New]
Soil Moisture GCOM [New]
Surface Type (GCOM) [New]
Volcanic Ash [New]
Jun-13
Jun-13
Jun-13
Jul-13
Aug-13
Sep-13
Sep-13
Sep-13
Sep-13
Sep-13
Sep-13
Sep-13
Sep-13
Sep-13
Sep-13
Sep-13
Sep-13
Sep-13
NDE
AMSR-2 Radiances (BUFR) [New]
Dec-13
Chesapeake Bay Ocean Color [New]
Mar-14
Chlorophyll a (5 tailored regions) [New]
Mar-14
Emiliania huxleyi Bloom [New]
Mar-14
Harmful Algal Bloom Anomaly [New]
Mar-14
Near Coast Ocean Color (SWIR) [New]
Mar-14
Normalized Water Leaving Radiances [New]
Mar-14
Outgoing Longwave Radiation (CrIS)
Jun-14
Blended Rain Rate (GCOM) [New]
Sep-14
Blended Soil Moisture (GCOM)
Sep-14
Blended SST (GCOM) [New]
Sep-14
Blended Total Precipitable Water (GCOM)
[New]
Blended Total Precipitable Water Anomaly
(GCOM) [New]
Tropical Cyclone Intensity (GCOM) [New]
Sep-14
Tropical Rainfall Potential
Sep-14
Tropical Rainfall Potential (GCOM) [New]
Sep-14
Sep-14
Sep-14
14
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•
•
•
•
GOES-R vs JPSS IDPS
Products
Aerosol Detection (including Smoke and
Dust)
•
Aerosol Optical Thickness
Aerosol Particle Size
•
Aerosol Particle Size
Suspended Matter / Optical Depth
•
Imagery
Volcanic Ash Detection and Height
•
Cloud Base Height
Aircraft Icing Threat
•
Cloud Coverage/Layers
Cloud & Moisture Imagery (KPPs)
•
Cloud Effective Particle Size
Cloud Layers / Heights & Thickness
•
Cloud Ice Water Path
Cloud Ice Water Path
•
Cloud Liquid Water
Cloud Liquid Water
•
Cloud Mask (IP)
Cloud Optical Depth
•
Cloud Optical Thickness
Cloud Particle Size Distribution
•
Cloud Top Height
Cloud Top Phase
•
Cloud Top Pressure
Cloud Top Height
•
Cloud Top Temperature
Cloud Top Pressure
•
Active Fires
Cloud Top Temperature
Cloud Type
Clear Sky Masks
Fire / Hot Spot Characterization
(red = baseline)
Joint Polar Satellite System
15
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
•
•
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•
•
•
•
•
•
•
•
•
•
Atmospheric Vertical Moisture Profile
Atmospheric Vertical Temperature Profile
Ozone Total
Column Ozone Profile
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
16
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.
17
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
18
Projects need to be supportive of NOAA Goals
19
20
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
21
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
22
Current Projects
Joint Polar Satellite System
23
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
24
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
25
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 statisticaldynamical intensity forecast model. Strong user engagement with forecasters at NHC
and JTWC.
• NRL/CIRA NEXSAT VIIRS Imagery Demonstrations
Joint Polar Satellite System
26
Visible Infrared Imaging Radiometer Suite
Raytheon 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
27
VIIRS Data Products
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
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
28
VIIRS Prelaunch Performance
(NPP F1 Bands and SNR/NEDT)
Specification
Band
No.
VisNIR
S/WMIR
Band
Gain
Ltyp or
Ttyp
(Spec)
Lm ax or
Tm ax
SNR or
NEdT (K)
Measured
SNR or
NEdT (K)
SNR
Margin
(%)
High
Low
High
Low
High
Low
44.9
155
40
146
32
123
135
615
127
687
107
702
352
316
380
409
416
414
723
1327
576
1076
658
1055
105%
320%
51.5%
163%
58.2%
155%
High
Low
21
90
78
667
362
315
558
882
54.1%
180%
Single
High
Low
22
10
68
718
59
651
119
242
360
265
360
847
122.7%
49%
135%
0.402 - 0.422
0.742 x 0.259
1.60 x 1.58
0.436 - 0.454
0.742 x 0.259
1.60 x 1.58
0.478 - 0.498
0.742 x 0.259
1.60 x 1.58
0.545 - 0.565
0.742 x 0.259
1.60 x 1.58
0.600 - 0.680
0.371 x 0.387
0.80 x 0.789
M5
Im agery EDR
Ocean Color
Aerosol
0.662 - 0.682
0.742 x 0.259
1.60 x 1.58
M6
Atm osph. Correct.
0.739 - 0.754
0.742 x 0.776
1.60 x 1.58
Single
9.6
41
199
394
98.0%
I2
NDVI
Ocean Color
Aerosol
0.846 - 0.885
0.371 x 0.387
0.80 x 0.789
0.846 - 0.885
0.742 x 0.259
1.60 x 1.58
Single
High
Low
25
6.4
33.4
349
29
349
150
215
340
299
545
899
99.3%
154%
164%
M8
Cloud Particle Size
1.230 - 1.250
0.742 x 0.776
1.60 x 1.58
Single
5.4
165
74
349
371.6%
M9
Cirrius/Cloud Cover
1.371 - 1.386
0.742 x 0.776
1.60 x 1.58
Single
6
77.1
83
247
197.6%
I3
Binary Snow Map
1.580 - 1.640
0.371 x 0.387
0.80 x 0.789
Single
7.3
72.5
6
165
2650.0%
M10
Snow Fraction
1.580 - 1.640
0.742 x 0.776
1.60 x 1.58
Single
7.3
71.2
342
695
103.2%
M11
Clouds
2.225 - 2.275
0.742 x 0.776
1.60 x 1.58
Single
0.12
31.8
10
18
80.0%
I4
Im agery Clouds
3.550 - 3.930
0.371 x 0.387
0.80 x 0.789
Single
270
353
2.5
0.4
84.0%
SST
SST
Fires
3.660 - 3.840
0.742 x 0.776
1.60 x 1.58
3.973 - 4.128
0.742 x 0.259
1.60 x 1.58
Single
High
Low
270
300
380
353
343
634
0.396
0.107
0.423
0.12
0.044
--
69.7%
59%
--
8.400 - 8.700
M3
M4
Ocean Color
Aerosol
I1
M7
M12
M13
LWIR
Horiz Sam ple Interval (km )
(track x Scan)
End of Scan
M2
Reflective Bands
Spectral
Range
(um )
Nadir
Ocean Color
Aerosol
Ocean Color
Aerosol
Ocean Color
Aerosol
M1
Emissive Bands
Driving EDR(s)
M14
M15
I5
M16
0.742 x 0.776
1.60 x 1.58
Single
270
336
0.091
0.054
40.7%
SST
10.263 - 11.263 0.742 x 0.776
1.60 x 1.58
Single
300
343
0.07
0.028
60.0%
Cloud Im agery
10.500 - 12.400 0.371 x 0.387
0.80 x 0.789
Single
210
340
1.5
0.41
72.7%
SST
11.538 - 12.488 0.742 x 0.776
1.60 x 1.58
Single
300
340
0.072
0.036
50.0%
Cloud Top Properties
HSI uses 3 in-scan pixels aggregation at Nadir
Courtesy of H. Oudrari
29
VIIRS Improvements From AVHRR:
Radiometric properties
Greater spectral coverage with increased radiometric quality
VIIRS
MODIS Equivalent
Band
Range (um)
HSR (m)
DNB
0.500 - 0.900
750
M1
M2
0.402 - 0.422
0.436 - 0.454
750
750
M3
0.478 - 0.498
750
M4
0.545 - 0.565
750
I1
0.600 - 0.680
375
M5
0.662 - 0.682
750
M6
I2
M7
M8
M9
I3
M10
M11
I4
M12
0.739
0.846
0.846
1.230
1.371
1.580
1.580
2.225
3.550
3.660
0.754
0.885
0.885
1.250
1.386
1.640
1.640
2.275
3.930
3.840
750
375
750
750
750
375
750
750
375
750
M13
3.973 - 4.128
750
M14
M15
8.400 - 8.700
10.263 - 11.263
750
750
0.405 - 0.420
0.438 - 0.448
0.459 - 0.479
0.483 - 0.493
0.545 - 0.565
4
12
0.546 - 0.556
1
0.620 - 0.670
13
0.662 - 0.672
14
0.673 - 0.683
15
0.743 - 0.753
2
0.841 - 0.876
16
0.862 - 0.877
5
SAME
26
1.360 - 1.390
6
1.628 - 1.652
6
1.628 - 1.652
7
2.105 - 2.155
20
3.660 - 3.840
20
SAME
3.929 - 3.989
21
22
3.929 - 3.989
23
4.020 - 4.080
29
SAME
31
10.780 - 11.280
I5
10.500 - 12.400
375
31
M16
11.538 - 12.488
750
-
Band
Range
AVHRR-3 Equivalent
HSR
Band
Range
HSR
Low light capabilities
8
9
3
10
32
32
OLS Equivalent
Band
HRD
PMT
Range
0.580 - 0.910
0.510 - 0.860
HSR
550 2700
1000
1000
Ocean Color, Aerosol
500 1000
500 1000
250
1
0.572 - 0.703
1100
1000 1000
1
0.572 - 0.703
1100
1000
250
1000
500
1000
500
500
500
1000
1000
2
2
3a
3b
3b
1000 1000
1000
1000
1000
Atm Correction
0.720 - 1.000
1100
0.720 - 1.000
1100
Cloud Particle Size
Thin Cirrus
Snow Map
SAME
Cloud
SAME
3.550 - 3.930
1100
1100
1100
SST, Fire
Cloud Top Propoerties
4
10.300 - 11.300
1100
10.780 - 11.280
11.770 - 12.270
1000 1000
4
5
10.300 - 11.300
11.500 - 12.500
1100
1100
11.770 - 12.270
1000
5
11.500 - 12.500
1100
HRD 10.300 - 12.900
550
30
AVHRR
1
2
3
4
5
580 - 680
840 - 940
3.55 - 3.93
10.3 - 11.3
11.5 - 12.5
Spectral
bands
of polar
imagers
(nm or
um)
MODIS
8
9
10
12
1
13
15
16
2
5
26
6
7
20
23
29
31
32
33
34
35
36
405 - 420
438 - 448
483 - 493
546 - 556
620 - 670
662 - 672
743 - 753
862 - 877
841 - 877
1.23 - 1.25
1.36 - 1.39
1.63 - 1.65
2.11 - 2.16
3.66 - 3.84
4.02 - 4.08
8.40 - 8.70
10.78 - 11.28
11.77 - 12.27
13.2 – 13.5
13.5 – 13.8
13.8 – 14.1
14.1 – 14.4
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
M8
1.23 - 1.25
M9
1.371 - 1.385
M10
1.58 - 1.64
I3
1.58 - 1.64
M11
2.235 - 2.285
M12
3.61 - 3.79
I4
3.55 - 3.93
M13
3.97 - 4.13
M14
8.40 - 8.7
M15
10.3 - 11.3
M16
11.5 - 12.5
I5
10.6 - 12.5
ABI
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
450 – 490 (1km)
590 – 690 (.5)
846 – 885 (1)
1.37-1.39 (2)
1.58 - 1.64 (1)
2.23 – 2.28 (2)
3.8 – 4.0
5.77 – 6.6
6.75 – 7.15
7.24 – 7.44
8.3 – 8.7
9.42 – 9.8
10.1 – 10.6
10.8 – 11.6
11.8 – 12.8
13.0 – 13.6
31
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
Wavelength (um)
Imagery
Sea Surface Temp
Soil Moisture
Cloud Base Height
Cloud cover/Layers
Cloud Optical Part Size
Cloud Thickness
Cloud Top Height
Cloud Top Pressure
Cloud Top Temp
Land Surface Temp.
Active Fires
Vegetation Index
Snow Cover (Binary)
Snow Cover (Fraction)
Surface Type
Surface Albedo
Ice Surface Temp.
Net Heat Flux
Surface Temperature (IP)
Ocean Color / Chloro
Sea Ice Age
Aer Opt Thick (Ocean)
Aer Opt Thick (Land)
Aer Part Size (Ocean)
Aer Part Size (Land)
Suspended Matter
Total Prec Water
Cloud Mask (IP)
Ice Location/Conc. (IP)
Sfc Reflectance (IP)
Ocean
Land
Aerosol
Clouds
Ice and Snow
DNB M1
M2
M3
M4
I1
M5
M6
M7
I2
0.7 0.412 0.445 0.488 0.555 0.64 0.672 0.746 0.865 0.865
x
x
x
x
x
x
x
x
x
M8
M9
M10
1.24 1.378 1.61
x
x
x
Uses VCM, VIIRS LST and several CMIS products, but no SDRs
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
M12
3.7
x
x
I4
3.74
x
x
x
x
x
x
x
x
x
x
M13
4.05
x
x
x
x
x
x
x
x
x
x
x
x
x
x
M11
2.25
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
I3
1.61
x
M14 M15
I5
M16
8.55 10.76 11.45 12.01
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
Uses VCM and other VIIRS EDRs, but no SDRs
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
Uses AOT, but no SDRs
Uses AOT, but no SDRs
x
x
x
x
x
x
x
Imagery Application is not required
x to be delivered.
x
x
x
x
x
x
x
x
x
x
x
Dual Gain Bands: M1-M5, M7, M13
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
VIS
NIR SWIR MWIR LWIR
Denotes bands that are Not primary inputs into algorithm. Used as internal check for algorithm.
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
Grass
33
34
First Global VIIRS Image
VIIRS
35
VIIRS has a very large cross track and
near constant spatial resolution
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
NPP VIIRS True Color Examples
Edge of Scan Intercomparisons
NOAA-19
AVHRR
NPP VIIRS
11-24-11
11-24-11 2000Z
1845Z
Aqua
NPP MODIS
VIIRS
11-24-11 1845Z
1840Z
NOAA-19 AVHRR
11-24-11 2000Z
NPP VIIRS DNB Example
Moonlight Availability
Gray Shading = solar zenith angle, Red Line = solar terminator
Blue Shading = lunar zenith angle, Blue Line = lunar terminator
Simulated Satellite Orbits
5-Year (2011-2015) Statistics
(Example)
 ~ 40% of nighttime observations offer lunar illumination sufficient to
enable many environmental applications, including the following...
Actively Burning Wild Fires
Ranch Fire
Buckweed Fire
Witch Creek
Fire
10/22/2007
Harris
Fire
California
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).
41
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.
42
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
43

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