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Total Solar and Spectral Irradiance Sensor TSIS Rodney Viereck NOAA Space Environment Center Earth R

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Total Solar Irradiance and Spectral Irradiance measurements made for analysis of ... B.A. Wielicki, K.J. Priestley, D.P. Kratz, N.G. Loeb, T.P. Charlock, and P. Minnis ... – PowerPoint PPT presentation

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Title: Total Solar and Spectral Irradiance Sensor TSIS Rodney Viereck NOAA Space Environment Center Earth R


1
Total Solar and Spectral Irradiance
SensorTSISRodney ViereckNOAA Space
Environment CenterEarth Radiation Budget
SensorERBSJim CoakleyOregon State University
2
NPOESS TSISTotal Solar and Spectral Irradiance
Sensor
  • Total Solar Irradiance and Spectral Irradiance
    measurements made for analysis of climate
    variability and climate change
  • There are still large uncertainties in the
    magnitudes
  • solar variability
  • climate variability
  • There are still many unknowns in how changes in
    solar irradiance affect climate.
  • What is the physics?
  • The NPOESS Total solar and Spectral Irradiance
    Sensor (TSIS) will continue the existing 27-year
    solar irradiance record into the future.
  • Rodney Viereck
  • NOAA Space Environment Center
  • Peter Pilewskie, Greg Kopp, Jerry Harder
  • Laboratory for Atmospheric and Space Physics,
    University of Colorado

3
Total Irradiance Monitor (TIM)
  • Total Irradiance Monitor (TIM)
  • Four cavity bolometer
  • Measurment Range 1310 to 1420 W/m2
  • Long Term Stability 0.002 /yr
  • Measurement Precision 0.002 /yr
  • Measurement Accuracy 1.5 W/m2 (0.1 )

0.1
TIM Total Irradiance Monitor for the NASA SORCE
Mission
4
Spectral Irradiance Monitor (SIM)
  • Spectral Range 200 3000 nm
  • Spectral Resolution
  • l lt 280 nm 1 nm
  • 280 nm lt l lt 400 nm 5 nm
  • l gt 400 nm 35 nm
  • Long Term Stability
  • L lt 600 nm 0.02/yr
  • L gt 600 nm 0.01/yr
  • Precision 0.02 /yr
  • Accuracy 1
  • Refresh 20 min/orbit

3
0.03
0.02
0.02
SIM Spectral Irradiance Monitor for the NASA
SORCE Mission
5
TSIS Scan Platform
Control and Electronics
TIM
SIM
Scan Platform Similar to TIM Platform on the NASA
GLORY Mission
6
Solar IrradianceA Critical Component of Climate
Modeling
  • Solar forcing is critical to obtaining good
    agreement with historical record.
  • Solar dominates up to 1950
  • Anthropogenic dominates after 1960

C. Ammann et al., NCAR Climate and Global
Dynamics Div. SORCE Meeting 2003
7
Spectral Irradiance A Critical Component of
Climate Variability
Stratospheric Temperature
M. Baldwin SORCE Meeting 2004
  • 11-year Solar Cycle in the Quasi Biennial
    Oscillation (QBO)
  • The QBO is a semi-periodic shift in the zonal
    (east-west) stratospheric winds near the equator
    with an average period of 28 months
  • The QBO seems to be a strong factor in organizing
    the tropical weather and global climate system.
  • Solar signal emerges from data (stratospheric
    temperature) when the data is separated into east
    and west phases of the QBO
  • It is the UV wavelengths that force the
    stratosphere

West Phase of QBO
East Phase of QBO
Labistska and Van Loon, 1998
8
Critical TSIS Issues
  • NASA SORCE mission
  • TIM and SIM
  • launched in 2003
  • Five year mission
  • NASA GLORY mission
  • Only TIM
  • Launch in 2008
  • Three year mission (2011) although TIM is
    designed for five years (2013).
  • NPOESS C3
  • TIM and SIM
  • Launch in 2013 (?)
  • GAPS in the Total Solar Irradiance record
  • It is absolutely critical to have overlap between
    sensors.
  • With overlap, estimating secular trends in TSI
    is very difficult.
  • Without overlap, estimating secular trends is
    nearly impossible.
  • Any delays in the launch of NPOESS C3 will
    increase the possibility of having a gap in the
    27-year continuous TSI record

9
NPOESS ERBS Earth Radiation Budget Sensor
  • B.A. Wielicki, K.J. Priestley, D.P. Kratz, N.G.
    Loeb,
  • T.P. Charlock, and P. Minnis
  • NASA Langley Research Center
  • J.A. Coakley, Jr.
  • Oregon State University
  • Shi-Keng Yang
  • NOAA-NCEP/CPC
  • High accuracy broadband radiation budget
    observations for
  • Forecast model development and
  • validation
  • Fundamental climate observations

10
Improvement of ERB from the Prognostic Cloud
Algorithm
  • ERBS observations used in
  • forecast model development and
  • validation.
  • ERBS observations improve top
  • and surface boundary conditions
  • for forecasts.

Example Improvements in modeled emitted
longwave radiation for 200-km scale regions.
11
Ocean Heat Storage and the Earths Radiation
Budget
Accurate, long term ERB observations provide
clues to system response
Source Wong et al., submitted to J. Climate
12
CERES Capabilities and IORD-II Requirements
  • Common Requirements
  • Horizontal Cell Size 20 km at nadir (meets
    threshold)
  • Mapping Uncertainty 1 km at nadir (meets
    objective)
  • Latency 1 IBM processor processes a 5-minute
    orbit granule of data in 20 minutes and produces
    all four EDRs
  • EDR Specific (CERES in color, Threshold/Objective,
    Wm-2)
  • Based on thousands of CERES tests over
    surface sites and multisensor top of the
    atmosphere consistency checks.

13
CERES Processing System Relevant to NPOESS
  • ERBS EDRs require analysis of
  • multiple sensors
  • (VIIRSERBS)
  • ERBS EDRs require information
  • from analyzed or forecast
  • meteorological fields

14
STATUS Need to Refurbish CERES FM-5
  • Flight Hardware
  • S/C Interface modifications for NPOESS platform
  • Redesign solar calibration diffuser for higher
    stability (coatings
  • problems) for SW and LW EDRs.
  • Redesign SWICS/SiPD lamp calibration package
    for higher stability
  • level in SW TOA and SW Surface flux EDRs.
  • Replace 8 ? 12 ?m channel filter with ERBE
    Broadband LW filter for
  • more rigorous verification of LW TOA flux EDR
    stability.
  • Ground Testing/Characterization
  • Update Calibration Chamber
  • Investigate replacing Transfer Active Cavity
    Radiometer (TACR)
  • mirrors
  • Recognize importance of Ground Calibration
  • Ground Cal is last test prior to delivery
  • Program typically suffering cost/schedule
    constraints
  • On-Orbit Operations
  • Optimize hardware tasking to minimize
    contamination/uv exposure
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