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29-31 Jan 2007, Tsukuba Algorithm development for retrieving cloud and aerosol microphysical parameters from the GLI Teruyuki Nakajima Center for Climate System Research, The University of Tokyo [email protected]

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Page 1: Algorithm development for retrieving cloud and aerosol ... · 29-31 Jan 2007, Tsukuba Algorithm development for retrieving cloud and aerosol microphysical parameters from the GLI

29-31 Jan 2007, Tsukuba

Algorithm development for retrievingcloud and aerosol microphysical

parameters from the GLI

Teruyuki NakajimaCenter for Climate System Research, The University of

[email protected]

Page 2: Algorithm development for retrieving cloud and aerosol ... · 29-31 Jan 2007, Tsukuba Algorithm development for retrieving cloud and aerosol microphysical parameters from the GLI

Road map for the final run for GLI project

Algorithm tuning & development finishedCf. Land aerosolsCloud amount: Largely underestimatedGLI&AMSRIce cloud retrievals?

Goal: around June? New directions

Combined analysisContribution to the new mission: GLI

identification Model comparison and assimilation

Page 3: Algorithm development for retrieving cloud and aerosol ... · 29-31 Jan 2007, Tsukuba Algorithm development for retrieving cloud and aerosol microphysical parameters from the GLI

FRCGC/NICAM (non-hydrostatic model) (M. Sato)

Earth Simulator

Miura (2006)

Page 4: Algorithm development for retrieving cloud and aerosol ... · 29-31 Jan 2007, Tsukuba Algorithm development for retrieving cloud and aerosol microphysical parameters from the GLI

Cloud Particle Effective Radius

MODIS 2003 April (T.Y.Nakajima)GCM-SPRINTARS 2003 April(T.Takemura)

NICAM-SPRINTARS (14km) 2001 AprilSuzuki (2006)再掲載不可

Page 5: Algorithm development for retrieving cloud and aerosol ... · 29-31 Jan 2007, Tsukuba Algorithm development for retrieving cloud and aerosol microphysical parameters from the GLI

CiMEL: SatellitePREDE: Self-calibration

Skynet/sky network

2006.8, Kanazawa, Skynet international committee 2006.11, Shanghai, WMO AOD meeting

Page 6: Algorithm development for retrieving cloud and aerosol ... · 29-31 Jan 2007, Tsukuba Algorithm development for retrieving cloud and aerosol microphysical parameters from the GLI

Lidar network observation sitesSkynet/lidar component

Matsue

Hedo

Phimai

SendaiShapot

ou

Ulaanbaatar

SainshandDalanzadgad

N. Sugimoto

MPL: Eye-safe, all solid satesNIES: 24hr, dual freq., & pol.

2006.3, Hamburg, Exparts meeting on GAW lidar network

Page 7: Algorithm development for retrieving cloud and aerosol ... · 29-31 Jan 2007, Tsukuba Algorithm development for retrieving cloud and aerosol microphysical parameters from the GLI

TEOM および EC/OC 計

放射計測センサー群 [A棟]

A BC

DE

ライダー

エアロゾル質量分析計(A M S ) [B棟] NO3計

沖縄辺戸岬ステーション 文科省が連携の例として取り上げた

Page 8: Algorithm development for retrieving cloud and aerosol ... · 29-31 Jan 2007, Tsukuba Algorithm development for retrieving cloud and aerosol microphysical parameters from the GLI

Over 30 sites

Phimai Workshop (2005.4.27, Kazuma AOKI)

SKYNET data flow

BSRN CAOS, OkamotoCPR+Lidar

Sri-Samrong

Hefei

Gosan

Amami

Fukue

Miyako

Chula. U., ThanaTMD

AIOFM., ZhouIAP, Shi

SNU, Sohn

CeRES, Takamura

RIHN, Hayasaka

MRI, Uchiyama

CeRESData center

Toyama U., Aokisun/sky

CeRES, TakamuraMicro, sky view

SNU, SohnRadiative fluxes

NIES, SugimotoLidar

Sites Site managers Data center Analysis centers&Web sites

Page 9: Algorithm development for retrieving cloud and aerosol ... · 29-31 Jan 2007, Tsukuba Algorithm development for retrieving cloud and aerosol microphysical parameters from the GLI

東北大学大気海洋センター温暖化物質データ

東北大学大気海洋センター温暖化物質データ

f: 気候モデル同化システム

f: 気候モデル同化システム

千葉大学リモセンセンター衛星データ

千葉大学リモセンセンター衛星データ

名古屋大学水循環センターレーダデータ

名古屋大学水循環センターレーダデータ

特別教育研究費事業:特別教育研究費事業:地球気候系の診断に関わる地球気候系の診断に関わるバーチャルラボラトリーバーチャルラボラトリー

大学A大学A

大学B大学B

・ ・ ・

領域創成プロジェクト「気候・環境モデリング

基盤整備」

領域創成プロジェクト「気候・環境モデリング

基盤整備」

機能のネットワーク化 入力と出力の定義 構造化プラットフォームとしての気候・環境モデル

国家基幹技術地球観測システム

データ統融合センター

国家基幹技術地球観測システム

データ統融合センター

{p}

{y}

{x}

観測をやりっ放しにしない!

連絡会

CCSR

y=f(x,p)

Page 10: Algorithm development for retrieving cloud and aerosol ... · 29-31 Jan 2007, Tsukuba Algorithm development for retrieving cloud and aerosol microphysical parameters from the GLI

ConclusionsGLI successfulGAIT mechanism successfulNext generation scientists grownAnalysis almost finished: Completed in 2007Algorithms applied successfully to MODISValidation system contributing to other satellite missionsModel comparison startedA moderate resolution sensor   is very useful: Let’s get SGLINew algorithms possibleAssimilation process needed for more analysis

Will be back…toSGLI initiative; Modeling initiative

Final GLI image