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?. Potential of Simulator Assessments led by GRP. Hiro Masunaga Hydrospheric Atmospheric Research Center, Nagoya University. Satellite data simulator. Satellite data simulators Simulate satellite data, of course. T, q v , q r , … → satellite measured radiance

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potential of simulator assessments led by grp

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Potential of Simulator Assessments led by GRP

HiroMasunaga

Hydrospheric Atmospheric Research Center, Nagoya University

satellite data simulator
Satellite data simulator
  • Satellite data simulators
    • Simulate satellite data, of course.
      • T, qv, qr, … → satellite measured radiance
    • Radiative transfer code + user interfaces
      • Sub-grid cloud generator (COSP)
      • Antenna pattern convolution, PSD library (SDSU)
    • Growing need for multiple sensor package
      • TRMM/GPM: PR/DPR + TMI/GMI (+ VIRS)
      • A-Train: CPR + CALIOP + MODIS + AMSR-E + AMSU + AIRS …
  • Applications
    • Climate/Cloud-resolving model evaluation
    • Retrieval algorithm development for future missions
    • Radiance based data assimilation

GRP 22nd meeting, Tokyo

multi sensor simulator p ackages
Multi-sensor simulator packages
  • COSP: CFMIP Observation Simulator Package
      • CFMIP (http://cfmip.metoffice.com/COSP.html)
  • CRTM: Community Radiative Transfer Model
      • NOAA (http://www.star.nesdis.noaa.gov/smcd/spb/CRTM/)
  • ECSIM: EarthCARE Simulator
      • ESA (Voors et al, 2007)
  • J-simulator: Joint Simulator for Satellite Sensors
      • JAXA/U Tokyo (http://www22.atwiki.jp/j-simulator/pages/14.html)
  • RTTOV: Radiative Transfer Model for TOVS
      • UK MetOffice/ECMWF (Matricardi et al. 2004; Bauer et al., 2006)
  • SDSU: Satellite Data Simulator Unit
      • Nagoya U (http://precip.hyarc.nagoya-u.ac.jp/sdsu/)
  • Goddard SDSU
      • NASA GSFC (http://atmospheres.gsfc.nasa.gov/cloud_modeling/sdsu.html)
  • ISSARS: Instrument Simulator Suite for Atmos Remote Sensing
      • JPL (under development)

GRP 22nd meeting, Tokyo

who would need it
Who would need it?
  • Algorithm developers?
    • Most likely have their own RT codes already.
  • GCM/CRM developers
    • Would be happy if user-friendly simulators are available.
    • Best (or least?) motivated to diagnose and refine model performance.
  • GCM/CRM users
    • Would be also happy with simulators.
    • Best available to spend time on model assessment.

Satellite simulators have potential user demands primarily from the modeling communities.

GRP 22nd meeting, Tokyo

why do we need it
Why do we need it?

N(D), ρp,…

N(D), ρp,…

Masunaga et al., BAMS (2010)

GRP 22nd meeting, Tokyo

slide6

Goddard SDSU applied to a

  • WRF simulation
  • AMSR-E 36.5 GHz V (top)
  • MODIS 11 m (middle)
  • CloudSatdBZ(bottom)
  • Masunaga et al., BAMS (2010)

GRP 22nd meeting, Tokyo

cloud and precip top heights cth and pth
Cloud and Precip Top Heights (CTH and PTH)

 TRMM PR&VIRS

 NICAM+SDSU

 CloudSat CPR

 NICAM+SDSU

CTH

CTH

MJO wet

MJO dry

MJO wet

MJO dry

CPR echo-top height

Infrared Tb

PTH

PTH

CPR 10-dBZ height

PR echo-top height

Too much snow

In the cloud model

?

?

MJO wet

MJO dry

MJO wet

MJO dry

GRP 22nd meeting, Tokyo

missing 94 ghz echoes above 8 km
Missing 94-GHz Echoes above 8 km

The 94-GHz back-scattering coefficient begins to be saturated due to non-Rayleigh scattering as snow content increases.

94-GHz

GRP 22nd meeting, Tokyo

slide9

Rayleigh regime

Wavelength >> 2πr

Geometric optics regime

Wavelength << 2πr

2r

GRP 22nd meeting, Tokyo

a modification to snow microphysics
A Modification to snow microphysics

Snowflake mass spectrum = m(D)n(D)=aDb N0exp(-lD)

where a=2.5x10-2 kg m-2 and b=2 (original=Grabowski, 1998)

a=5x10-4 kg m-1 and b=1 (modified)

Less saturated

SWC=1g/m3

0.1

g/m3

Smaller snowflakes

GRP 22nd meeting, Tokyo

psd impact on the cth pth histogram
PSD Impact on the CTH/PTH Histogram

TRMM

MJO wet

MJO dry

MJO wet

MJO dry

NICAM

Modified

Original

MJO wet

MJO wet

MJO dry

MJO dry

MJO wet

MJO wet

MJO dry

MJO dry

GRP 22nd meeting, Tokyo

model assessment with simulators
Model assessment with simulators

Model

Grid resolution,

PBL schemes,…

Satellite data simulator

GCM

cumulus/cloud parameterizations, …

Particle Scattering

Size distribution, Crystal habit, …

CRM

cloud microphysics, …

Measuring principles

Vis, IR, or Microwave

Passive or active

GRP 22nd meeting, Tokyo

tasks
Tasks
  • Close communication is crucial among scientists with different background (modeling vs. remote sensing) to foster new ideas to develop assessment metrics.
    • Simulator-related sessions in int’l conferences
      • ex.) AGU fall meetings in a past few years.
  • GRP led efforts for simulator-based assessment

GRP 22nd meeting, Tokyo

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