eumetsat, july 2013 coordination group for meteorological satellites - cgms cloud retrieval...

EUMETSAT, July 2013

Coordination Group for Meteorological Satellites - CGMSCoordination Group for Meteorological Satellites - CGMS

Cloud Retrieval Evaluation Working Group

by EUMETSAT

Presented to CGMS-41, WGII/8

Agency, version?, Date 2012

Coordination Group for Meteorological Satellites - CGMS

Background



Introduction

Contribution to CGMS-40At CGMS-40 (CGMS-40 EUM-WP-10) the Cloud Retrieval Evaluation Working Group (CRE-WG) presented first ideas to establish a permanent International Clouds Working Group within CGMS.

Action CGMS-40: WG II Action 40.26To request the CRE-WG to develop a proposal related to establishment of a new International Science WG, involving all CGMS members and WMO, WCRP and GCOS, including the proposed focus of the group, an account of ongoing activities in other fora (a “gap analysis”), and financial implications, for discussion at CGMS-41.



Motivation

• Cloud parameter are increasingly used in data assimilation for Numerical Weather Prediction (NWP), regional now-casting especially for severe weather forecasting, cloud-chemistry modelling, and more;

• CGMS members do more and more include cloud detection and cloud parameter retrievals in their operational services;

• CGMS members ask for a mechanism that establishes links to the cloud parameter retrievals community and that facilitates: - access to, and sharing of, knowledge;- developments towards, and sharing of, commonality approaches, - a forum for the exchange of requirements, - a forum for training.

The international Clouds Working Group within CGMS that is presented in this working paper aims to provide such a mechanism.



Response to

CGMS-40: WG II Action 40.26



1: Nomination of CREW representatives

Name Organisation Country

Mr. Chung, Sung-Rae National Meteorological Satellite Center, KMA Korea

Ms. Takeuchi, Ayako Meteorological Satellite Center (MSC)Japan Meteorological Agency (JMA) Japan

Dr. Puviarasan, N. India Meteorological Department India

Dr. Rublev, Alexei Roshydromet Russia

Dr. Bojinski, Stefan WMO Switzerland

Dr. Heidinger, Andrew NOAA USA

Dr. Roebeling, Rob EUMETSAT Germany

Dr. Feng, Lu CMA China

Table : Names of CGMS representatives for the International Cloud Working Group



2: GAP Analysis

Ongoing activities

• Other Cloud Working Groups: GEWEX-CA (completed, follow up not planned)

• Conferences: e.g. AMS, ISARD, IRS, EUMETSAT

• Scientific and Operational Projects: e.g. ISCCP, ESA-Clouds-CCI, CM SAF

Gap analysis

• Currently no active working group;

• Conferences do not offer the required exchange platform;

• Projects do part of the work, coordination is needed.



3: Focal points of CREW

• to exchange knowledge on parameter retrieval algorithms;

• to contribute to the assessment of level-2 cloud parameter retrievals;

• to contribute to the validation of level-2 cloud parameter retrievals;

• to foster commonality for operational cloud parameter retrievals among the different CGMS satellite operators;

• to support and stimulate training of the operational and scientific community;

• to enhance the communication in this field and develop international partnerships.



CREW activities

EUMETSAT, July 2013


Inter-algorithm consistency: Cloud mask MSG 13 June 2008, 12 hr UTC

Fig. : Cloud masks of 11 MSG algorithms (13 June 2008, 12 hr UTC)



Inter-algorithm consistency : Multiple Algorithm Ensemble analysis

EUMETSAT, July 2013


Why Space-Time Grid data?

Benefits• Data reduction;• Uniformity & Accessibility;• Product statistics and error information;• Multi-satellite time series analysis;• Meaningful data assessments;• Bridges the gap to the model community.

Towards Uniformity and Traceability – Aggregation methods

Hurdles• Preserving level-2 statistics; • Sensitivity to selection criteria;

(angels, cloud mask, quality, etc)

• Sensitivity to number of observations;• Mitigating sampling errors in space &

time;• Handling product specific rules;• Need for coordination.

(success depends on adoption of a generic approach)

AimTo develop a generic, and high-quality, approach for producing long-term (global) climate data records at level-3 that can be used for studying trends on seasonal, inter-annual and decadal time scales.



Level-3 Products: Sensitivity Analysis

Courtesy of Nadia Smith, University of Wisconsin, USA

Grid SizeSampling PeriodViewing Angle

0 < VZA < 90

0 < VZA < 32

15 days

30 days

1 degree

2 degrees

EUMETSAT, July 2013


Recommendations

to

CGMS-41



Action/recommendation

The CRE-WG representatives and the members of its science advisory committee to prepare the Terms of References for a Clouds Working group within CGMS, following the recommendations made by the participants of the 4th CREW workshop to be held in Grainau, Germany from 4–7 March 2014, for endorsement at CGMS-42.

Proposal to CGMS



Cloud Retrieval Evaluation Workshop 2014

Image: Courtesy and Copyright by Alexander Riehn, Hotel am Badersee, Grainau

4-7 March 2014, Grainau, Germany, EuropeOrganized by the Deutscher Wetterdienst. Financially supported by EUMETSAT, the European Space Agency through the ESA

Cloud CCI project and Deutscher Wetterdienst

Program CommitteeBryan Baum (co-chair), Rob Roebeling (co-chair), Ralf Bennartz, Ulrich Hamann, Andrew Heidinger, Jan Fokke Meirink, Martin

Stengel, Andi Walther, and Anke ThossMembers of CGMS are cordially invited to attend this workshop.

EUMETSAT, July 2013

Coordination Group for Meteorological Satellites - CGMSCoordination Group for Meteorological Satellites - CGMS

Thank You

eumetsat, july 2013 coordination group for meteorological satellites - cgms cloud retrieval...

Documents

coordination group

action cgms

group slide

names of cgms representatives

group crewg

cloud detection

wgii8 slide

working paper