Hye-Yun Kim IMSG at NOAA/NESDIS/STAR -...

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Hye-Yun Kim IMSG at NOAA/NESDIS/STAR

Transcript of Hye-Yun Kim IMSG at NOAA/NESDIS/STAR -...

  • Hye-Yun Kim

    IMSG at NOAA/NESDIS/STAR

  • Outline ABI SW Radiation Budget (SRB) algorithm

    Evaluation of retrieved SW radiation

    ABI SRB algorithm demonstration with AHI

    Summary

  • Advanced Baseline Imager (ABI) SRB algorithm GOES-R series ABI SRB algorithm is

    RT-based, hybrid algorithm combines direct path and indirect path to retrieve Downward SW Radiation at Surface

    (DSR) Reflected SW Radiation at TOA

    (RSR) DSR and RSR are determined

    separately for clear and cloudy scenes and outputs are the cloud-fraction weighted averages during daytime

  • ABI SRB algorithm: direct path When a complete description of the

    atmospheres and surfaces is available from ABI derived products

    Uses GOES-R products (AOD, COD, surface albedo etc.) as inputs to calculate reflectance and transmittance

    Straightforward computation with low latency

    More consistent with other ABI products

    No retrievals when input product is missing

    May not conserve energy at TOA

    Reflected by atmosphere

    Reflected by surface and transmitted through the atmosphere

    Absorbed by atmosphere

    Transmitted through atmosphere

    Incoming Solar Radiation

  • ABI SRB algorithm: indirect path Used when direct path can not be applied Uses ABI TOA reflectances in multiple

    channels as input to calculate RSR and DSR is obtained by estimating atmospheric transmittance from TOA albedo

    Clear sky composite is calculated as the median of 28 days of clear sky albedo

    Conservation of energy at TOA is attempted

    Uses broadband TOA albedo that requires spectral and angular corrections, which introduce uncertainties

    Illustration of retrieval of transmittance from TOA albedo (reflectance) for the geometry and atmospheric condition shown (no surface effects). The clear-sky/cloudy-sky transmittance is ~0.69/0.28 corresponding to the TOA albedo of 0.1/0.5.

    0.0 0.2 0.4 0.6 0.80.0

    0.2

    0.4

    0.6

    0.8

    0: 0.6H20: 2.0 g cm

    -2

    O3: 0.3 atm-cmAerosol: CONT-I (: 0.0-1.5)Cloud: water (: 0-80)Cloud top: 5.5 kmCloud bottom: 2kmSurface albedo: 0

    Shortwave Transmittance vs. TOA Reflectance

    Cloudy sky Clear sky

    Tran

    smitt

    ance

    Reflectance

  • Outline ABI SW Radiation Budget (SRB) algorithm

    Evaluation of retrieved SW radiation

    DSR and RSR using MODIS

    ABI algorithm demonstration with AHI

    Summary

  • PROXY data MODIS/Terra, Aqua Simulated ABI data GOES Surface Insolation Product (GSIP) Advanced Himawari Imager/Himawari-8 Spinning Enhanced Visible and InfraRed Imager/MSG

  • PROXY data MODIS Terra/Aqua; period covered 2000/2002 2015

    TOA reflectance (from MOD/MYD02),

    Geometry (from MOD/MYD03), Surface elevation (from

    MOD/MYD03), Aerosol optical depth (from

    MOD/MYD04), Cloud optical

    depth/size/height/phase (from MOD/MYD06),

    Ozone (from MOD/MYD07), Total precipitable water (from

    MOD/MYD07, NCEP Reanalysis),

    Snow mask (from MOD/MYD10),

    Surface albedo (from MCD43C3)

  • Reference Data Ground data for DSR

    NOAA Surface Radiation Network (SURFRAD): 2000 2015

    CERES Ocean Validation Experiment (COVE): 2000 2013

    Baseline Surface Radiation Network (BSRN): 2000 2009

    CERES TOA observation for RSR Cloud Radiation Swath (CRS): 2000

    2009 Single Scanner Footprint (SSF): 2010

    2015

  • ABI SRB algorithm validation Collocation process for evaluation

    Retrievals are collocated with: Ground measurement for DSR CERES TOA observation for RSR

    Retrievals are averaged spatially (25km) Ground measurements are averaged temporally (30min)

    Monthly instantaneous DSR

  • ABI SRB algorithm with MODIS data DSR at 25km

    Overestimation in cloudy Underestimation in clear sky

    RSR at 25km

    Cloud fraction difference between

    proxy and reference data causes retrieval error

  • Error over scene type DSR

    RSR

    Blue: Indirect path Red: Direct path

  • Demonstration with AHI data Sept 29th 2015 00:00

    12:30 UTC, every 30 minutes

    Gridded 2km Inputs:

    AHI TOA reflectances: chn 1, 3-6 Uses ABI narrow-to-

    broadband (NTB) coefficients

    CHN4 coefficient is not used

    Cloud-mask product, surface height, TPW, and ozone from GFS

  • Demonstration with AHI data

    9/29/2015

  • Summary The ABI SW Radiation Budget algorithm uses two

    paths depending on availability of ABI products and runs during daytime only.

    Direct and indirect path are evaluated with MODIS data at 25km: both algorithm shows almost the same retrieval

    error in RSR retrieval direct path shows slightly better estimation for DSR

    retrieval

  • Thank you

    kimsc_2015_v2.5_part1ABI SW Radiation Budget (SRB) Algorithm and Validation OutlineAdvanced Baseline Imager (ABI) SRB algorithmABI SRB algorithm: direct pathABI SRB algorithm: indirect pathOutlinePROXY data PROXY dataReference DataABI SRB algorithm validationABI SRB algorithm with MODIS dataError over scene typeDemonstration with AHI dataanimation_2Demonstration with AHI dataDemonstration with AHI datakimsc_2015_v2.5_part2SummarySlide Number 2