1. Field Project Planning, Operations and Data Services Jim Moore, EOL Field Project Services (FPS) Mike Daniels, EOL Computing, Data and Software (CDS) Facility

2. Science Planning Meeting Facility & Science Coordination Mtg. Operations Planning Mtg. Finalize Ops Plan Project Safety Review Finalize Data Mgmt Plan Data Analysis Workshop Program Assessment Site setup Initiate Data Collection Communications Sys. Shakedown Generic Large Field Project Timeline Establish distributed/centralized data archive Assist with dataset submission, updating and distribution Perform special data processing (QC, formatting) Support analysis and synthesis activities Implement long term data security, stewardship and access Field Phase Daily Planning Process In-Field Data Management Operational Data Collection Facility Coordination Real-time Displays Operations Center User Services In-field Catalog Long-Term Data Management Support Phase Project Planning Phase Data Processing Quality Control Routine Archive/ Access +1 yr Proj Team selection, Prepare Ops Plan, Data Mgmt. Plan, Logistics, Web site US Facilities Request Draft the Science Plan and Operations Plan Initial Site Survey US Science Proposal Submissions US Facility Decisions Feasibility Cost Estimates -1 yr -4 yrs +2-10 yrs (or more) EDO/SPO Preparation

3. Challenges Balancing use of latest technologies with the maintenance and operation of existing instrumentation and infrastructure Defining project requirements and scope in a complex set of exchanges which include PIs, EOL & NSF (and often other agencies) Handling new requirements related to international and domestic security Expanding from regional/shorter duration projects to global/longer duration projects as the science needs dictate and facilities grow in their capabilities

4. Challenges (cont.) Obtaining more data, from a wider variety of sources, faster or in real-time and analyzing these data as quickly as possible Working on new or current field projects while meeting the analysis needs of the completed projects Building effective internal, university, inter-agency and international partnerships with regard to field projects and data analysis Assessing community input with the outcome of determining priorities constrained by resources

5. Discussion Where/how could we change the overall process of field project implementation to improve in our mission of answering key science questions? Are we open enough to new ideas from PIs? Are we paying enough attention to the needs during the analysis phase and do we have the appropriate balance between our support of current and future projects versus support of past projects? How are we doing with regard to our support of projects with a more global and/or long-term scope? Are we keeping up with logistical and staffing challenges, especially in the more complex projects? Are our communications and interactions with NSF and the PIs during the project planning phase efficient, clear and productive?

6. Discussion (cont.) How effectively are we managing interactions with other agencies during field projects as they increasingly partner with us? Are we tapping into the operational data sources (e.g. NEXRAD, model output, satellite, mesonets, soundings, etc.) effectively? Are our visualization and analysis tools used during field projects and beyond meeting the needs of the science community? How are we doing with regard to remote participation in the field phase? Is this important? Are we meeting your objectives with regard to our data delivery in terms of both timeliness and quality? What can we do to increase student involvement in field projects in a meaningful way?

7. Where/how could we change the overall process of field project implementation to improve in our mission of answering key science questions? Are we open enough to new ideas from PIs? Are we paying enough attention to the needs during the analysis phase and do we have the appropriate balance between our support of current and future projects versus support of past projects? How are we doing with regard to our support of projects with a more global and/or long- term scope? Are we keeping up with logistical and staffing challenges, especially in the more complex projects? Are our communications and interactions with NSF and the PIs during the project planning phase efficient, clear and productive? How effectively are we managing interactions with other agencies during field projects as they increasingly partner with us? Are we tapping into the operational data sources (e.g. NEXRAD, model output, satellite, mesonets, soundings, etc.) effectively? Are our visualization and analysis tools used during field projects and beyond meeting the needs of the science community? How are we doing with regard to remote participation in the field phase? Is this important? How are we doing with regard to our data delivery in terms of both timeliness and quality? What can we do to increase student involvement in field projects in a meaningful way?