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2012 Independent Advisory Committee (IAC) Guidance to the SDEB. 2012 Independent Advisory Committee (IAC) Guidance to the SDEB. June 16, 2011 Independent Advisory Committee Members David Byers Brant Foote Jim Gleason John LeMarshall Paul Menzel Rolf Stuhlmann

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2012 Independent Advisory Committee (IAC) Guidance to the SDEB


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slide1

2012

Independent Advisory Committee

(IAC)

Guidance to the SDEB

2012 independent advisory committee iac guidance to the sdeb

2012 Independent Advisory Committee (IAC) Guidance to the SDEB

June 16, 2011

Independent Advisory Committee Members

David Byers Brant Foote Jim Gleason

John LeMarshall Paul Menzel Rolf Stuhlmann

Alexander Trichtchenko Tom VonderHaar John Zapotocnyc

William Campbell

introduction
Introduction

GOES-R lightning mapper work has made very significant advances since the last meeting and real time application of lightning data is underway . 

Successful delivery of Baseline Products to the GOES-R Office and the delivery of the Option 2 (Future Capability) Products has been the result of outstanding scientific, technical and managerial work. All involved deserve commendation.

Amongst the Option 2 Products for example the Low Cloud and Fog and SO2 detection products are needed for aviation safety and a Convective initiation product would be of clear assistance in severe weather prediction. It is important the benefits to be accrued from the Option 2 Products are not lost to the community.

The recognition of the synergistic processing of Leo and Geo-data is an important step and the use of common software and an Enterprise approach is to be commended. Together with the use of models and data assimilation, the Polar and Geo-satellite applications and products are entering a new era.

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general findings
General Findings

Recommendation

(1) Scientists must remain close to their algorithms during operational implementation - their role in product production efficiency, validation, and evolution must be enabled by close communication / collaboration with the vendor of the ground system. However science developers should not be the principal evaluators of their own products.

general findings1
General Findings

Recommendation

(2) Preparations must be made for rapid software updates with scientist engagement as experience with real data reveals issues (data striping, rectification issues, geo diffraction effects, missing or saturated data …) as therewillbe situations when the algorithm change processisgoingfrom "broken to working " ratherthanfrom " adequate to better ". Update strategies to be used before Day 1 and after Day 1 need to be drafted. A pre-planned product improvement strategy must be developed for the program. Recommendation: Scientists need early access to the operational GOES-R C++ code and a process needs to be established for rapid day 1 and after changes.

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general findings2
General Findings

Recommendation

(3) The Himawari 8 satellite will carry an Imager very similar to that on GOES-R. Recommendation: Scientist access to Himawari data and documentation of differences from GOES-R should be arranged by MOA so that experience with real ABI data can mitigate some issues before GOES-R launch.

(4) Optimal GOES-R scanning and pre-processing scenarios still needs exploration (e.g. scan south to north for more timely NH data, de-striping before rectification). Recommendation: Undertake a study to demonstrate the difference in GOES Perfect Projection of data when destriped then rectified (information about image construction from scanning detector array needs to be made available).

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general findings3
General Findings

Recommendation

(5) Effective CAL/VAL is essential to ensure high quality of input data for product generation and must be effectively performed in a timely manner. A special briefing from the CAL/VAL Team is being arranged. Field campaigns for validation of GOES-R sensor measurements and derived products must also be planned as soon as possible. The detailed Basis of Estimate should take into account other planned validation campaigns and assets as much as possible. Coordination with other programs requires early commitment.

(6) Preparations for routine production of Option2 (Future Capability) Products (prior to operational production) appear to be underway as part of the Enterprise processing system. Recommendation: These should be sustained as much as possible so that affiliated scientists get an opportunity for evaluation with ABI data and the user community gets familiar with the product.

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general findings4
General Findings

Recommendation

(7) Opportunity for LEO supplement / complement to GEO measurements for product generation has been enhanced greatly by the established of the Enterprise processing system. More efforts should be encouraged for combined products where LEO benchmarks are temporally continued with GEO measurements. An example could be LEO day-night band observations of fog can be extended into early morning with GEO visible composites. Caveats are that LEO and GEO must provide coherent depictions hence physics issues need attention (e.g. viewing angle differences, diffraction issues from GEO but not LEO ...). For example, LEO vs GEO Vis/NIR algorithms must account for viewing angle and solar illumination differences characterizing the two systems.

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general findings5
General Findings

Recommendation

(8) Better utilization of temporal continuity for product generation and QC is progressing. Some algorithms are now making good use of the temporal advantages offered by geostationary measurements; all algorithm developers should re-consider ways to make better use for consistency checks and / or QC.

(9) Product validation needs better articulation / planning. Post-launch validation must include considerations for field experiments; leveraging and contributing to existing plans for NASA/DOE/NOAA field experiments must be undertaken. Recommendation: Post launch plans should be presented at next conference.

9

general findings6
General Findings

Recommendation

(10) Data assimilation of hourly radiances / products (eg. AMVs) in NWP models requires more attention (eg use of 4DVAR) - JCSDA engagement in this direction need to be strengthened. Moreover, use of satellite data over land (surface viewing as well as upper tropospheric / lower stratospheric sensitive measurements) in NWP needs to be enhanced. We need to be prepared for the generation and continuous assimilation of radiances hourly winds. Surface emissivity also needs to be updated in the CRTM.

In general NWP readiness for GOES-R should continue to be a high priority activity.

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general findings7
General Findings

Recommendation

(11) ABI does not offer a sounding product; ABI offers layer adjustments to a NWP model initial vertical profile estimate. This must be made clear in the product designation. Use of the word “sounding” is totally inappropriate and misleading. Utilization of the LEO high spectral resolution data rendering of moisture vertical and horizontal distributions needs to be encouraged. Recommendation: Regional forecasts and nowcasts necessary for a Weather Ready Nation will have to make better use of the information content from AIRS, CrIS, and IASI data; GPS data should also be included. Between LEO sounding coverage, GOES-R data should be used to monitor temporal profile (atmospheric stability, etc) changes. Recommendation: To pursue the missing continuous viewing essential for capturing the rapidly changing conditions that go with severe weather, the move to a GEO high spectral resolution IR sounder should receive higher priority within NOAA. A Transition Plan and Transition Survey should be completed as soon as possible.

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general findings8
General Findings

Recommendation

(12) The Satellite Programs and the JCSDA should respond to arising needs for a) Data Assimilation Impact metrics tailored to Forecaster understanding including regional, high impact DA tests and b) all DA and other Impact studies and results should be respected ; but not widely communicated until they are reproduced by at least one independent study or method.

(13) In relation to supporting operational forecasting, the value of VIIRS in AWIPS will be dependent on the timeliness of the data.  Currently the plan is to use the IDPS at NESDIS as the source,  however this will result in upwards of 2 hour latency from observation time.   Recommendation: Use should be made of a network of DB sites from CONUS and OCONUS to reduce latency to within 30 minutes.

12

general findings9
General Findings

Recommendation

(14) In relation to AWIPS2 and product development, we often need different players with satellite experts, to bring radar and NWP knowledge and skills to the product development teams in order to achieve the vision of fused-integrated observations with NWP. Satellite developers don’t usually have understanding of radar and vice versa and we need to avoid new stovepipes replacing the old ones. In particular we need for this to come together for the Proving Ground.

(15) Because of the importance of training, to the success of the GOES-R program, it is recommended that the application production team subject matter experts be involved in training. This may be done in a number of ways such as provision of material and in training the trainers. (A suggested contact may be Tony Mostek)

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general findings10
General Findings

Recommendation

(16) In relation to space weather, NGDC needs to complete the plan for operationalising their products. As a first step Cal/Val will need to be addressed.

For software development, NGDC should take advantage of software already developed a space weather applications (four example by the US Air Force)

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TC LAURENCE - Dec. 2009

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TC LAURENCE - Dec. 2009