Validation Update Eric Fetzer AIRS Science Team Meeting February - - PowerPoint PPT Presentation

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Validation Update Eric Fetzer AIRS Science Team Meeting February - - PowerPoint PPT Presentation

Validation Update Eric Fetzer AIRS Science Team Meeting February 21, 2001 Pasadena Eric Fetzer 1 Validation Update February 21, 2001 Todays Topics Report on the February 7 Aqua Validation Working Group meeting at GSFC.


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SLIDE 1

Eric Fetzer February 21, 2001 1

Validation Update

Validation Update

Eric Fetzer AIRS Science Team Meeting February 21, 2001 Pasadena

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SLIDE 2

Eric Fetzer February 21, 2001 2

Validation Update

Today’s Topics

  • Report on the February 7 Aqua Validation

Working Group meeting at GSFC.

  • Validation software status
  • Update on primary validation data sources
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Eric Fetzer February 21, 2001 3

Validation Update

Aqua Validation Meeting General Impressions

  • Several common validation issues

– Clear sky identification is key – Upwelling radiance, SST, LST under clear sky is next – Upper trop water of particular concern for CERES

  • Standards for data distribution and formatting are needed
  • The selected Aqua validation proposals will be

announced on or near February 23, according to David Starr

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Eric Fetzer February 21, 2001 4

Validation Update

AIRS Aqua-wide Validation Issues

From page 13 of the current AIRS Team Science Validation Plan:

Inter-Aqua Data for AIRS Standard Product Validation AIRS Validation Focus MODIS cloud retrieval Clear-sky flag, cloud clearing, VIS / NIR cloud fraction AMSR-E SST SST retrieval MODIS SST SST retrieval MODIS, CERES radiance Radiance CERES OLR OLR CO and Methane from MOPPIT and network CO, Methane retrievals Surface-based VIS / NIR VIS / NIR retrievals MODIS low cloud indicator VIS / NIR low cloud algorithm

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SLIDE 5

Eric Fetzer February 21, 2001 5

Validation Update

Aqua Validation Meeting Relevant Instrument Team Activities

  • Vince Salomonson on MODIS

– Steve Ackerman and others at U. Wisconsin have experience identifying clear sky conditions – Upwelling radiance from many sources, e. g., dedicated M-AERI cruise will be used.

  • Some will be useful in our efforts
  • See their Validation Plan linked to AIRS home

page

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SLIDE 6

Eric Fetzer February 21, 2001 6

Validation Update

Aqua Validation Meeting Relevant Instrument Team Activities

  • Bruce Weilicki on CERES

– Early processing backlogged

  • complex data availability requirements for

processing

  • ephemeris information delayed ~1 month

– OLR product calculation requires accurate upper tropospheric water vapor

  • They will oversee a DAO-ECMWF shoot-out this

spring for upper trop water vapor (and land skin T / diurnal cycle)

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SLIDE 7

Eric Fetzer February 21, 2001 7

Validation Update

Aqua Validation Meeting Relevant Instrument Team Activities

  • Bruce Weilicki on CERES (continued)

– Polar temperature inversions are a concern (!) – Upper trop water vapor is important (!) – They will measure clear sky ocean radiance with M-AERI

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Eric Fetzer February 21, 2001 8

Validation Update

Aqua Validation Meeting Relevant Instrument Team Activities

  • Elena Loebl on AMSR-E

– They have well-instrumented land surface experiments

  • Measure T, soil moisture
  • Large area of instrumentation (~50 km diameter)
  • Several locations in central Asia

– Tibetan plateau (high altitudes) – Mongolia (middle altitudes)

  • The effort is led by Eni Njoku at JPL
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Eric Fetzer February 21, 2001 9

Validation Update

JPL Validation Software

  • A hierarchy is analyses is needed

– Granule- and footprint-level display – Manipulation of correlative data will be the next development phase – Large-scale statistics (as with GSTAT files)

  • An unmet action item by JPL is delivery of Vendaval 2.0

– Currently bullet-proofing the code – Will include a suite of graphics software

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Eric Fetzer February 21, 2001 10

Validation Update

Correlative Data Activities

  • Acquisition, cataloging of three data types:

– Sample radiosondes from ESDIS

  • In HDF
  • Latest test set is matched to December 15 simulations

– ARM CART best estimates

  • In NetCDF
  • We have a one month sample for a non-simulation period

– Ocean buoys

  • In ASCII
  • Currently testing a one-week sample that includes Dec 15
  • - We are about to test regular, daily ingest of all these data -
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SLIDE 11

Eric Fetzer February 21, 2001 11

Validation Update

Correlative Data Activities (continued)

  • A common input format to AIRS forward model

calculations (RTP) has been defined. Available at:

– http://asl.umbc.edu/pub/motteler/rtp/rtpspec/rtpspec.html

  • Software and format issues will be reviewed after

selection of Aqua validation proposals

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Eric Fetzer February 21, 2001 12

Validation Update

ARM CART Data Flow and Versioning

TWP 25Aug01 0Z TWP 25Aug01 12Z TWP 26Aug02 0Z TWP 26Aug02 12Z TWP 27Aug02 0Z

  • • •
  • • •

UW TWP Data

  • • •

SGP 25Aug01 0Z SGP 25Aug01 12Z SGP 26Aug02 0Z SGP 26Aug02 12Z SGP 27Aug02 0Z

  • • •

UW SGP Data

TLSCF TDS

Match-Up Software

  • SGP 25Aug01 0Z

SGP 25Aug01 12Z SGP 26Aug02 0Z SGP 26Aug02 12Z SGP 27Aug02 0Z + Golfballs

  • Match-up

SGP Data Match-up TWP Data Match-up NSA Data

NSA 25Aug01 0Z NSA 25Aug01 12Z NSA 26Aug02 0Z NSA 26Aug02 12Z NSA 27Aug02 0Z

  • • •
  • • •

UW NSA Data Long-Term Match-Ups Long-Term SGP Match-ups Long-Term TWP Match-ups Long-Term NSA Match-ups Match-Ups by Site Interface Issues for Site Match- Up:

  • Versioning
  • Format
  • METADATA

Interface Issues For Long-Term Match-Ups:

  • Version
  • Format
  • Accumulation

Time

  • METADATA

Other Sites: e. g. Brazil, Australia

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Eric Fetzer February 21, 2001 13

Validation Update

Radiosonde (PREPQC) Data Handoff

NOAA EMC GDAAC

Operations Team (currently Mike Theobald for testing) Interface Issues (and Solutions):

  • Data

PREPQC

  • Frequency

four files daily

  • Data Volume

75 MB/day

  • Latency

24 hours

  • Format

BUFR

  • Ingest

Edward Olsen

TLSCF

Quentin Sun

TDS

Interface Issues (and Solutions):

  • Data

PREPQC

  • Format

HDF-EOS Point

  • Content

Selected Fields

  • Subscription

Push

  • Data

Matchups

  • Format

HDF-EOS Swath

  • Content

nominally 30 matchups/day Interface Issues (and Solutions):

  • Data

Matchups

  • Format

HDF-EOS Swath

  • Content

nominally 100 matchups/day

  • Data

Golden Day Matchups

  • Format

HDF-EOS Swath

  • Content

Radiosonde or AVN Forecast for selected Profiles

Joel Susskind

Science Team

Mitch Goldberg

  • Validation
  • Validation

Data Provider Steps Data Users

  • Tuning
  • Validation

Larry McMillin GSFC NOAA TLSCF Eric Fetzer

  • Validation

JPL

Interface Issues:

  • Metadata
  • Format
  • Content
  • Frequency
  • Timeliness
  • Pull
  • Radiance bias studies

Luke Chen Edward Olsen

  • Radiance Bias/Tuning
  • Validation
  • Trend Analyses

Matchups HDF-EOS Swath (after L+12 Months) PREPQC HDF-EOS Point

  • Validation

Bjorn Lambrigtsen Phil Rosenkranz

  • Validation
  • Validation

Dave Staelin MIT

  • Retrieval QA assessment

Evan Fishbein UMBC Larrabee Strow

  • RTA
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Eric Fetzer February 21, 2001 14

Validation Update

Data Flow for AIRS Sea Surface Temperature Product Validation

Launch + 150 days (or when product available) . . .

Golf Ball Module including Sea Surface Temperature Product And Truth Pointers Golf Ball Module including Sea Surface Temperature Product And Truth Pointers Truth Data: NOAA Surface Marine GDC Drifter Data SST Climatology Truth Data: NOAA Surface Marine GDC Drifter Data SST Climatology Sort using cloud flag Day/night Scan angle Buoy matchups Cloudy cases Buoy matchups Cloudy cases Buoy match-ups Clear cases Buoy match-ups Clear cases Special SVP drifters Compare L2 SST Day vs night scan angle Column H20 Compare surface emissivity product: Cloud fraction Scan angle Emissivity model Special SVP drifters Apply surface gradient correction Determine rejection criteria Sort by cloud fraction Compare L2 SST Day vs night

  • Scan angl

e Cloud fraction Surface Emissivity Basic drifters Adjust for obvious temperature effects Basic drifters Compare L2 SST Day vs night scan angle Column H20

Data Products: Statistics as function

  • f scan angle, day-night, surface

gradient, column H20, cloud fraction, surface emissivity.