NSF 12-522: Decadal and Regional Climate Prediction using Earth System Models (EaSM)
Program Solicitation
Document Information
Document History
- Posted: December 21, 2011
- Replaces: NSF 10-554
- Replaced by: NSF 13-607
Program Solicitation NSF 12-522
Full Proposal Deadline(s) (due by 5 p.m. proposer's local time):
May 11, 2012
Important Information And Revision Notes
This is the second in a series of EaSM solicitations (see NSF Program Solicitation 10-554 for the first EaSM solicitation). It remains focused on the prediction of future climates and their consequences for human systems on time scales of several decades and shorter and global to regional and finer spatial scales. A time span of several decades is chosen because within this timeframe modeled climate change responses appear to be insensitive to CO2 forcing scenarios. Moreover, adaptation planning and implementation is carried out on roughly these time scales. This solicitation will not consider research involving varying CO2 forcing scenarios beyond the next several decades. The long-term EaSM Program goals (see the Synopsis and Program Description Section) remain essentially the same; however, some of the specific areas of interest related to those goals have changed.
Less emphasis on:
- Model building
Greater emphasis on:
- Predictability studies
- Extreme events
- Prediction and attribution
- Upscaling/downscaling
- Interactions between natural and human systems
- Research on metrics, methods, and tools for testing, evaluating, and validating climate and climate impact predictions and their uncertainty characterization.
Unlike EaSM 1, this solicitation will not consider proposals for incubator or pilot project activities.
Important Reminders
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG), NSF 11-1, was issued on October 1, 2010 and is effective for proposals submitted, or due, on or after January 18, 2011. Please be advised that the guidelines contained in NSF 11-1 apply to proposals submitted in response to this funding opportunity.
Cost Sharing: The PAPPG has been revised to implement the National Science Board's recommendations regarding cost sharing. Inclusion of voluntary committed cost sharing is prohibited. In order to assess the scope of the project, all organizational resources necessary for the project must be described in the Facilities, Equipment and Other Resources section of the proposal. The description should be narrative in nature and must not include any quantifiable financial information. Mandatory cost sharing will only be required when explicitly authorized by the NSF Director. See the PAPP Guide Part I: Grant Proposal Guide (GPG) Chapter II.C.2.g(xi) for further information about the implementation of these recommendations.
Data Management Plan: The PAPPG contains a clarification of NSF's long standing data policy. All proposals must describe plans for data management and sharing of the products of research, or assert the absence of the need for such plans. FastLane will not permit submission of a proposal that is missing a Data Management Plan. The Data Management Plan will be reviewed as part of the intellectual merit or broader impacts of the proposal, or both, as appropriate. Links to data management requirements and plans relevant to specific Directorates, Offices, Divisions, Programs, or other NSF units are available on the NSF website at: https://www.nsf.gov/bfa/dias/policy/dmp.jsp. See
Chapter II.C.2.j of the GPG for further information about the implementation of this requirement.
Postdoctoral Researcher Mentoring Plan: As a reminder, each proposal that requests funding to support postdoctoral researchers must include, as a supplementary document, a description of the mentoring activities that will be provided for such individuals. Please be advised that if required, FastLane will not permit submission of a proposal that is missing a Postdoctoral Researcher Mentoring Plan. See Chapter II.C.2.j of the GPG for further information about the implementation of this requirement.
Summary Of Program Requirements
General Information
Program Title:
Decadal and Regional Climate Prediction using Earth System Models (EaSM)
Synopsis of Program:
The consequences of climate variability and change are becoming more immediate and profound than previously anticipated. Important impacts have highlighted that climate variability and change can have significant effects on decadal and shorter time scales, with significant consequences for plant, animal, human, and physical systems. Such aspects include the onset of prolonged droughts on several continents, increased frequency of floods, loss of agricultural and forest productivity, degraded ocean and permafrost ecosystems, global sea level rise and the rapid retreat of ice sheets and glaciers, loss of Arctic sea ice, and changes in ocean currents.
The EaSM funding opportunity enables interagency cooperation on one of the most pressing problems of the millennium: climate change, how it is likely to affect our world, and how we can plan for its consequences. It allows the partner agencies -- National Science Foundation (NSF), U.S. Department of Agriculture (USDA), and U.S. Department of Energy (DOE) -- to combine resources to identify and fund the most meritorious and highest-impact projects that support their respective missions, while eliminating duplication of effort and fostering collaboration between agencies and the investigators they support.
This interdisciplinary scientific challenge calls for the development and application of next-generation Earth System Models that include coupled and interactive representations of such things as ocean and atmospheric currents, human activities, agricultural working lands and forests, urban environments, biogeochemistry, atmospheric chemistry, the water cycle and land ice. This solicitation seeks to attract scientists from the disciplines of geosciences, social sciences, agricultural and biological sciences, mathematics and statistics, physics, and chemistry. Successful proposals will develop intellectual excitement in the participating disciplinary communities and engage diverse interdisciplinary teams with sufficient breadth to achieve the scientific objectives. We encourage proposals that have strong broader impacts, including public access to data and other research products of general interest, as well as educational, diversity, or societal impacts.
The long-term goals of this solicitation are to improve on and extend current Earth System modeling capabilities to:
- Achieve comprehensive, reliable global and regional predictions of decadal climate variability and change through advanced understanding of the coupled interactive physical, chemical, biological, and human processes that drive the climate system.
- Quantify the impacts of climate variability and change on natural and human systems, and identify and quantify feedback loops.
- Maximize the utility of available observational and model data for impact, vulnerability/resilience, and risk assessments through up/downscaling activities and uncertainty characterization.
- Effectively translate climate predictions and associated uncertainties into the scientific basis for policy and management decisions related to human interventions and adaptation to the projected impacts of climate change.
The following are specific areas of interest to the funding agencies for EaSM 2: (i) Research that has the potential to dramatically improve predictive capabilities; (ii) Prediction and attribution studies; (iii) Research that addresses critical issues linking relevant Earth system processes over a variety of spatial and temporal scales; (iv) Research that examines the relationships between climate variability and change to human and natural environments from the human perspective; (v) Development and applications of metrics, methods, and tools for testing and evaluating climate and climate impact predictions and their uncertainty characterization.
These subareas of particular interest are described in greater detail below under Program Description: Areas of interest.
Cognizant Program Officer(s):
Please note that the following information is current at the time of publishing. See program website for any updates tothe points of contact.
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Anjuli S. Bamzai, Directorate for Geosciences (GEO), telephone: (703) 292-8527, email: easm2@nsf.gov
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Eric C. Itsweire, Directorate for Geosciences (GEO), telephone: (703) 292-8582, email: easm2@nsf.gov
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Thomas F. Russell, Directorate for Mathematical & Physical Sciences (MPS), telephone: (703) 292-4863, email: easm2@nsf.gov
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Michael Steuerwalt, Directorate for Mathematical and Physical Sciences (MPS), telephone: (703) 292-4860, email: easm2@nsf.gov
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David McGinnis, Directorate for Social, Behavioral and Economic Sciences (SBE), telephone: (703) 292-7307, email: easm2@nsf.gov
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William J. Wiseman, Office of Polar Programs (OPP), telephone: (703) 292-4750, email: easm2@nsf.gov
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Peter Milne, Office of Polar Programs (OPP), telephone: (703) 292-4714, email: easm2@nsf.gov
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Nancy Cavallaro, U.S. Department of Agriculture, telephone: (202) 401-5176, email: easm2@nsf.gov
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Mary Ann Rozum, U.S. Department of Agriculture, telephone: (202) 401-4533, email: easm2@nsf.gov
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Renu Joseph, Department of Energy, Office of Science (DOE-SC), Office of Biological and Environmental Research, telephone: (301) 903-9237, email: easm2@nsf.gov
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Dorothy Koch, Department of Energy, telephone: (301) 903-0105, email: easm2@nsf.gov
Applicable Catalog of Federal Domestic Assistance (CFDA) Number(s):
- 10.310 --- Agriculture and Food Research Initiative
- 47.041 --- Engineering
- 47.049 --- Mathematical and Physical Sciences
- 47.050 --- Geosciences
- 47.070 --- Computer and Information Science and Engineering
- 47.074 --- Biological Sciences
- 47.075 --- Social Behavioral and Economic Sciences
- 47.076 --- Education and Human Resources
- 47.078 --- Office of Polar Programs
- 47.079 --- Office of International Science and Engineering
- 47.080 --- Office of Cyberinfrastructure
- 47.081 --- Office of Experimental Program to Stimulate Competitive Research
- 81.049 --- Office of Science Financial Assistance Program
Award Information
Anticipated Type of Award: Standard Grant or Continuing Grant
Estimated Number of Awards: 7 to 12
7-12 depending on the mix and size of projects submitted. This estimate is based on the total for all funding sources (NSF, USDA, DOE) combined.
Awards are expected to be in the range of $300,000 to $1,000,000 per year.
Budgets are to be no more than $3M, $4M and $5M, for 3-year, 4-year, and 5-year projects, respectively. The budget should accurately reflect the effort of all parties, as detailed in the budget justification.
Anticipated Funding Amount: $35,000,000 to $39,000,000 in FY 2012 and FY 2013 pending availability of funds.
Eligibility Information
Proposals may only be submitted by the following:
- Universities and Colleges - Universities and two- and four-year colleges (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Such organizations also are referred to as academic institutions.
- Non-profit, non-academic organizations: Independent museums, observatories, research labs, professional societies and similar organizations in the U.S. associated with educational or research activities.
- For-profit organizations: U.S. commercial organizations, especially small businesses with strong capabilities in scientific or engineering research or education.
- Other Federal Agencies and Federally Funded Research and Development Centers (FFRDCs): Contact the appropriate program before preparing a proposal for submission.
PIs from NSF-funded FFRDCs may submit proposals to this competition. Projects involving USDA or DOE FFRDCs will only be considered for co-funding by NSF if they are collaborative efforts that include non-federally funded institutions. To facilitate possible interagency funding of such collaboratives, an institution other than the USDA or DOE FFRDC must serve as the lead institution. This is necessitated solely by NSF rules for funding collaborative grants and should not be construed as a comment on capability or leadership. It is anticipated that DOE lab scientists whose projects are recommended for funding would be funded by DOE. USDA research laboratories submitting proposals as the lead institution will only be considered for funding by USDA-NIFA.
Proposals from FFRDCs must obey NSF budget guidelines and may not include costs already covered by federal funds.
Limit on Number of Proposals per Organization:
None Specified
Limit on Number of Proposals per PI: 2
An individual may appear as PI or co-PI on only two proposals in response to this solicitation. We encourage PIs and co-PIs to limit themselves to one proposal submission. No more than two submissions per PI or co-PI will be accepted.
Proposal Preparation and Submission Instructions
A. Proposal Preparation Instructions
- Letters of Intent: Not Applicable
- Preliminary Proposal Submission: Not Applicable
- Full Proposals:
- Full Proposals submitted via FastLane: NSF Proposal and Award Policies and Procedures Guide, Part I: Grant Proposal Guide (GPG) Guidelines apply. The complete text of the GPG is available electronically on the NSF website at: https://www.nsf.gov/publications/pub_summ.jsp?ods_key=gpg.
- Full Proposals submitted via Grants.gov: NSF Grants.gov Application Guide: A Guide for the Preparation and Submission of NSF Applications via Grants.gov Guidelines apply (Note: The NSF Grants.gov Application Guide is available on the Grants.gov website and on the NSF website at: https://www.nsf.gov/publications/pub_summ.jsp?ods_key=grantsgovguide)
B. Budgetary Information
- Cost Sharing Requirements: Inclusion of voluntary committed cost sharing is prohibited.
- Indirect Cost (F&A) Limitations:
For awards made by USDA-NIFA, Section 1462(a) of the National Agricultural Research, Extension, and Teaching Policy Act of 1977 (7 U.S.C. 3310(a)) limits the recovery of indirect costs to 22 percent of total federal funds awarded. Revised budgets will be solicited if these guidelines are not met by an application to be awarded by USDA-NIFA.
- Other Budgetary Limitations: Other budgetary limitations apply. Please see the full text of this solicitation for further information.
C. Due Dates
- Full Proposal Deadline(s) (due by 5 p.m. proposer's local time):
May 11, 2012
Proposal Review Information Criteria
Merit Review Criteria: National Science Board approved criteria. Additional merit review considerations apply. Please see the full text of this solicitation for further information.
Award Administration Information
Award Conditions: Additional award conditions apply. Please see the full text of this solicitation for further information.
Reporting Requirements: Additional reporting requirements apply. Please see the full text of this solicitation for further information.
I. Introduction
Climate prediction at time scales of several decades and shorter is a scientific challenge that underscores the complexity of the Earth's natural and human systems while also highlighting the many unknowns that shape our climate and its impacts. These include natural drivers of climate variability; the transient sensitivity of the climate system to radiative forcing; cloud feedbacks; short-lived greenhouse gases such as ozone and methane, and particles affecting the Earth's albedo such as soot and other aerosols; the roles of oceanic and terrestrial ecosystems, land use, and biogeochemical cycles; and feedbacks imposed by human response to climate change. The nonlinear nature of these interactions greatly increases the complexity of the problem.
In order to plan for future infrastructure, stakeholders from various application sectors (e.g. agriculture, energy, and the water resources community) need information about the likely climate trajectory for the next 5-30 years. However, the inherent natural variability of climate can mask both long-term trends and changes in system responses due to changes in driving forces, such as anthropogenic forcing. It is thus crucial to be able to make better decadal time scale predictions that account for natural variability.
Additional challenges are faced in the development and application of the models themselves. These include scaling, model parameterization, uncertainty quantification, model validation, more efficient algorithms, and realistic representation of underlying biogeochemical, physical, chemical, agricultural, ecological, and socioeconomic processes.
Further problems arise in model initialization and climate change attribution when the sparseness and heterogeneity of available data is considered. Mathematical and statistical techniques are needed to optimize the merging of available data towards the development of equilibrium climate states for model initialization. As these many issues are addressed, the new knowledge generated becomes the basis for continuing improvements in the reliability of future, more complete versions of Earth System Models.
Scientific challenges such as these cannot be met in isolation. Diverse teams of researchers involved in parallel, interdisciplinary, and complementary activities are required to advance the field of Earth System Modeling. Cyberinfrastructure should be utilized to support the development, growth, and effectiveness of collaborating teams while also supplying shared compute and data platforms to a wide range of users of climate and climate impact predictions and information. It is anticipated that projects funded by EaSM will yield more than incremental results in individual models, but instead will transform the conduct of climate science, greatly increasing the impact of research outcomes.
II. Program Description
This solicitation will capitalize on the synergy between development of climate models, their use in both the assessment and attribution of climate variability and impacts, and the development of approaches to effectively inform adaptation policy. The overall goal of the EaSM solicitation is to improve on and expand upon current modeling capabilities to substantively advance reliable regional and decadal climate predictions and their connection to human systems. Long-term goals are to:
- Achieve comprehensive, reliable global and regional predictions of decadal climate variability and change through advanced understanding of the coupled interactive physical, chemical, biological and human processes that drive the climate system.
- Quantify the impacts of climate variability and change on natural and human systems, and identify and quantify feedback loops through which human systems help determine environmental outcomes.
- Maximize the utility of available observational and model data for impact and vulnerability/resilience and risk assessments through up/downscaling activities and uncertainty characterization.
- Effectively translate climate model predictions and associated uncertainties into the scientific basis for policy and management decisions related to human interventions and adaptation to the projected impacts of climate change.
New research efforts should leverage existing modeling frameworks and existing cyberinfrastructure as appropriate and encourage the participation of postdoctoral and early career scientists.
Proposals should describe collaborative, interdisciplinary efforts that advance the state of Earth System Modeling on regional and decadal scales. Proposers should clearly state how their efforts contribute to the overall long-term goals of the program and will have broad interdisciplinary impacts. Where appropriate, investigators are encouraged to incorporate methods and metrics that assess the reliability of predictions. It is anticipated that EaSM projects will be 3 to 5 years in duration. The scope of proposals should justify total budgets in the range of $300,000 to $1,000,000 per year.
Prospective PIs whose projects fit the description above are invited to submit proposals to this solicitation. If in doubt whether to submit to EaSM 2 or an established grant program, please contact a relevant Program Director by email (identified later in this solicitation).
Areas of Interest:
This solicitation is intended to support development of reliable regional and decadal climate predictions that take into account the influences of living systems and are essential for projecting how living systems might adapt to climate change and its consequences for their physical environment. These predictions are necessary for well-informed human adaptation to climate change in planning future infrastructure, ensuring adequate food and water supplies, and developing sound, informed policy and stewardship for our natural and managed ecosystems.
Examples of areas of interest are (the ordering does not imply priority):
- Research into predictability of the climate system at times scales of several decades and shorter and on regional spatial scales. Studies may include, for example: predictability of the statistics of extreme events, the roles of climate data assimilation and initialization, and model multi-ensemble methods and error propagation control. Relevant to this process is a better understanding of how climate information is conveyed to the public, how it is perceived, and how decisions are made as a result.
- Prediction and attribution studies to determine whether observed changes in frequency and intensity of extreme weather and climate events, such as floods, droughts, hurricanes and multi-year heat waves covering large hemispheric regions, are primarily related to human activities driving long-term trends, or are manifestations of shorter term natural drivers of climate variability. Studies may include, for example: the identification, evaluation, and understanding of low frequency natural modes of climate variability such as ENSO and multidecadal ocean variability, and how these may change in a changing climate; and the roles of short-lived radiative forcing, such as aerosols and clouds, methane, ozone, and decadal solar variability.
- Research on methods of coupling different elements of the earth system to account for multi-scale interactions. Studies may include, for example: coupling between system components that work at widely different scales of time or space (such as global atmospheric circulation, hydrologic systems, and human systems), upscaling local and regional information to inform regional and global models, and downscaling global and regional model predictions in order to inform regional and local applications.
- Research that examines the relationships between climate variability and change to human and natural environments from the human perspective. Studies may include, for example, linking physical conditions and societal activities at relevant regional scales; incorporating social system models into climate model outputs; enhancing understanding about human perception and cognition of climate variability and change through Earth System modeling outputs; visualizing model output appropriate for decision making; and adapting to a changing environment.
- Development and applications of metrics, methods, and tools for testing, evaluating, and validating predictions of climate and of climate impacts, their uncertainty characterization, and error estimates. Studies may include, for example: methods to improve the perception, cognition and understanding of uncertainties and biases in results; analysis of paleoclimate and historical records to evaluate simulations and retrospective predictions for the past several decades; quantification of uncertainties; and related risk assessments.
III. Award Information
The duration of awards is expected to be from 3 to 5 years. Estimated program budget, number of awards, and average award size/duration are subject to the availability of funds.
This is an interagency partnership between NSF, USDA, and DOE, therefore meritorious proposals may be funded by one or more agencies at the option of the agencies, not the proposer. For proposals selected for funding entirely by USDA or DOE, PIs will be asked to withdraw their proposal from NSF and resubmit it to USDA-NIFA or DOE-SC in accordance with instructions given by the cognizant USDA-NIFA or DOE-SC Program Officer. Subsequent grant administration procedures will be in accordance with the individual policies of the awarding agency.
IV. Eligibility Information
Proposals may only be submitted by the following:
- Universities and Colleges - Universities and two- and four-year colleges (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Such organizations also are referred to as academic institutions.
- Non-profit, non-academic organizations: Independent museums, observatories, research labs, professional societies and similar organizations in the U.S. associated with educational or research activities.
- For-profit organizations: U.S. commercial organizations, especially small businesses with strong capabilities in scientific or engineering research or education.
- Other Federal Agencies and Federally Funded Research and Development Centers (FFRDCs): Contact the appropriate program before preparing a proposal for submission.
PIs from NSF-funded FFRDCs may submit proposals to this competition. Projects involving USDA or DOE FFRDCs will only be considered for co-funding by NSF if they are collaborative efforts that include non-federally funded institutions. To facilitate possible interagency funding of such collaboratives, an institution other than the USDA or DOE FFRDC must serve as the lead institution. This is necessitated solely by NSF rules for funding collaborative grants and should not be construed as a comment on capability or leadership. It is anticipated that DOE lab scientists whose projects are recommended for funding would be funded by DOE. USDA research laboratories submitting proposals as the lead institution will only be considered for funding by USDA-NIFA.
Proposals from FFRDCs must obey NSF budget guidelines and may not include costs already covered by federal funds.
Limit on Number of Proposals per Organization:
None Specified
Limit on Number of Proposals per PI: 2
An individual may appear as PI or co-PI on only two proposals in response to this solicitation. We encourage PIs and co-PIs to limit themselves to one proposal submission. No more than two submissions per PI or co-PI will be accepted.
Additional Eligibility Info:
Projects involving USDA or DOE FFRDCs will only be considered for co-funding by NSF if they are collaborative efforts that involve non-federally funded institutions and/or NSF-funded FFRDCs. Proposals for FFRDCs must obey NSF budget guidelines and may not include costs already covered by federal funds. To facilitate possible interagency funding of such collaboratives, an institution other than the USDA-NIFA or DOE-SC facility must serve as the lead institution.
V. Proposal Preparation And Submission Instructions
A. Proposal Preparation Instructions
Full Proposal Preparation Instructions: Proposers may opt to submit proposals in response to this Program Solicitation via Grants.gov or via the NSF FastLane system.
- Full proposals submitted via FastLane: Proposals submitted in response to this program solicitation should be prepared and submitted in accordance with the general guidelines contained in the NSF Grant Proposal Guide (GPG). The complete text of the GPG is available electronically on the NSF website at: https://www.nsf.gov/publications/pub_summ.jsp?ods_key=gpg. Paper copies of the GPG may be obtained from the NSF Publications Clearinghouse, telephone (703) 292-7827 or by e-mail from nsfpubs@nsf.gov. Proposers are reminded to identify this program solicitation number in the program solicitation block on the NSF Cover Sheet For Proposal to the National Science Foundation. Compliance with this requirement is critical to determining the relevant proposal processing guidelines. Failure to submit this information may delay processing.
- Full proposals submitted via Grants.gov: Proposals submitted in response to this program solicitation via Grants.gov should be prepared and submitted in accordance with the NSF Grants.gov Application Guide: A Guide for the Preparation and Submission of NSF Applications via Grants.gov. The complete text of the NSF Grants.gov Application Guide is available on the Grants.gov website and on the NSF website at: (https://www.nsf.gov/publications/pub_summ.jsp?ods_key=grantsgovguide). To obtain copies of the Application Guide and Application Forms Package, click on the Apply tab on the Grants.gov site, then click on the Apply Step 1: Download a Grant Application Package and Application Instructions link and enter the funding opportunity number, (the program solicitation number without the NSF prefix) and press the Download Package button. Paper copies of the Grants.gov Application Guide also may be obtained from the NSF Publications Clearinghouse, telephone (703) 292-7827 or by e-mail from nsfpubs@nsf.gov.
In determining which method to utilize in the electronic preparation and submission of the proposal, please note the following:
Collaborative Proposals. All collaborative proposals submitted as separate submissions from multiple organizations must be submitted via the NSF FastLane system. Chapter II, Section D.4 of the Grant Proposal Guide provides additional information on collaborative proposals.
Please note: All materials must be submitted to NSF. NSF will share all submitted materials with USDA-NIFA and DOE-SC throughout the review process.
In addition to criteria specified in the NSF Grant Proposal Guide or NSF Grants.gov Application Guide, additional submission materials will be required. Proposals failing to include these additional materials will be returned without review. Please refer to the below list when submitting proposals to ensure compliance.
- Cover Sheet:
- Proposals Involving USDA or DOE National Laboratories: Proposals that are collaborative efforts that involve USDA and DOE National Laboratories must be submitted with an institution other than the USDA or DOE Laboratory as the lead institution.
- Title: The title of each proposal must start with "EaSM 2".
- Project Description:
- Proposals will be allotted 15 pages for the Project Description. Detailed project and data management plans should be included as supplementary documents as indicated under the Supplementary Document heading below.
- Budget:
- All proposals should include travel costs for the annual PI meeting in the Washington, D.C. area.
- Proposals that require special facilities (excluding computing facilities) normally covered by NSF for unsolicited proposals must explicitly include the cost of the facility (or estimated cost) in the budget. These costs should appear in the "Other" category and be explained in the budget justification. A financial estimate and letter of commitment from the facility operator must be included in the supplementary documents appended to the end of the proposal. Requirements for specific computer hours needed and their cost should not be included in the budget, but instead be included in the proposal as supplemental information. The additional cost of using computing center facilities will be borne by funds associated with the EaSM 2 competition.
- Supplementary Documents:
- Program Management Plan: Proposals must include a detailed project management plan of no more than three pages. It should include a timeline for the project and its activities, project milestones, a list of deliverables, and a communication strategy between the involved parties.
- Data Management Plan: All proposals must include a data management plan of not more than two pages that conforms to the NSF Data Policy. Data related to this solicitation may take many forms including observational, theoretical, and model-generated output. For those projects where no data will be generated, a statement must be made to that effect. A copy of the NSF Data Policy is posted on the solicitation's companion website (https://www.nsf.gov/crssprgm/climate/).
- Postdoctoral Mentoring Plan: Proposals that request funding to support postdoctoral researchers must include a mentoring plan that is no more than one page. This plan should consist of activities and opportunities tailored specifically to the personal professional development of the postdoc(s) involved.
- Conflicts of Interest Spreadsheet: No later than 24 hours after the stated proposal deadline, the PI must submit as an electronic document a spreadsheet containing a list of all project participants, their institutional affiliations, and a list of all of the people conflicted with each participant. The list should also contain information on the nature of the conflict as well as the institutional affiliation, if known, of the person in conflict. This list will be used by NSF to determine project conflicts of interest and must be generated according to instructions on the solicitation's companion website. Instructions, templates, and utilities to help create and submit this files can be found on this solicitation's companion website (https://www.nsf.gov/crssprgm/climate/). Note that for collaborative proposals, only the PI for the lead institution will submit this document.
B. Budgetary Information
Cost Sharing: Inclusion of voluntary committed cost sharing is prohibited
Indirect Cost (F&A) Limitations:
For awards made by USDA-NIFA, Section 1462(a) of the National Agricultural Research, Extension, and Teaching Policy Act of 1977 (7 U.S.C. 3310(a)) limits the recovery of indirect costs to 22 percent of total federal funds awarded. Revised budgets will be solicited if these guidelines are not met by an application to be awarded by USDA-NIFA.
Other Budgetary Limitations:
Awards are expected to be in the range of $300,000 to $1,000,000 per year.
Budgets are to be no more than $3M, $4M and $5M, for 3-year, 4-year, and 5-year projects, respectively. The budget should accurately reflect the effort of all parties, as detailed in the budget justification.
C. Due Dates
- Full Proposal Deadline(s) (due by 5 p.m. proposer's local time):
May 11, 2012
D. FastLane/Grants.gov Requirements
-
For Proposals Submitted Via FastLane:
Detailed technical instructions regarding the technical aspects of preparation and submission via FastLane are available at: https://www.fastlane.nsf.gov/a1/newstan.htm. For FastLane user support, call the FastLane Help Desk at 1-800-673-6188 or e-mail fastlane@nsf.gov. The FastLane Help Desk answers general technical questions related to the use of the FastLane system. Specific questions related to this program solicitation should be referred to the NSF program staff contact(s) listed in Section VIII of this funding opportunity.
Submission of Electronically Signed Cover Sheets. The Authorized Organizational Representative (AOR) must electronically sign the proposal Cover Sheet to submit the required proposal certifications (see Chapter II, Section C of the Grant Proposal Guide for a listing of the certifications). The AOR must provide the required electronic certifications within five working days following the electronic submission of the proposal. Further instructions regarding this process are available on the FastLane Website at: https://www.fastlane.nsf.gov/fastlane.jsp.
- For Proposals Submitted Via Grants.gov:
Before using Grants.gov for the first time, each organization must register to create an institutional profile. Once registered, the applicant's organization can then apply for any federal grant on the Grants.gov website. Comprehensive information about using Grants.gov is available on the Grants.gov Applicant Resources webpage: http://www07.grants.gov/applicants/app_help_reso.jsp. In addition, the NSF Grants.gov Application Guide provides additional technical guidance regarding preparation of proposals via Grants.gov. For Grants.gov user support, contact the Grants.gov Contact Center at 1-800-518-4726 or by email: support@grants.gov. The Grants.gov Contact Center answers general technical questions related to the use of Grants.gov. Specific questions related to this program solicitation should be referred to the NSF program staff contact(s) listed in Section VIII of this solicitation.
Submitting the Proposal: Once all documents have been completed, the Authorized Organizational Representative (AOR) must submit the application to Grants.gov and verify the desired funding opportunity and agency to which the application is submitted. The AOR must then sign and submit the application to Grants.gov. The completed application will be transferred to the NSF FastLane system for further processing.
VI. NSF Proposal Processing And Review Procedures
Proposals received by NSF are assigned to the appropriate NSF program where they will be reviewed if they meet NSF proposal preparation requirements. All proposals are carefully reviewed by a scientist, engineer, or educator serving as an NSF Program Officer, and usually by three to ten other persons outside NSF who are experts in the particular fields represented by the proposal. These reviewers are selected by Program Officers charged with the oversight of the review process. Proposers are invited to suggest names of persons they believe are especially well qualified to review the proposal and/or persons they would prefer not review the proposal. These suggestions may serve as one source in the reviewer selection process at the Program Officer's discretion. Submission of such names, however, is optional. Care is taken to ensure that reviewers have no conflicts of interest with the proposal.
A. NSF Merit Review Criteria
All NSF proposals are evaluated through use of the two National Science Board (NSB)-approved merit review criteria: intellectual merit and the broader impacts of the proposed effort. In some instances, however, NSF will employ additional criteria as required to highlight the specific objectives of certain programs and activities.
The two NSB-approved merit review criteria are listed below. The criteria include considerations that help define them. These considerations are suggestions and not all will apply to any given proposal. While proposers must address both merit review criteria, reviewers will be asked to address only those considerations that are relevant to the proposal being considered and for which the reviewer is qualified to make judgements.
What is the intellectual merit of the proposed activity?
How important is the proposed activity to advancing knowledge and understanding within its own field or across different fields? How well qualified is the proposer (individual or team) to conduct the project? (If appropriate, the reviewer will comment on the quality of the prior work.) To what extent does the proposed activity suggest and explore creative, original, or potentially transformative concepts? How well conceived and organized is the proposed activity? Is there sufficient access to resources?What are the broader impacts of the proposed activity?
How well does the activity advance discovery and understanding while promoting teaching, training, and learning? How well does the proposed activity broaden the participation of underrepresented groups (e.g., gender, ethnicity, disability, geographic, etc.)? To what extent will it enhance the infrastructure for research and education, such as facilities, instrumentation, networks, and partnerships? Will the results be disseminated broadly to enhance scientific and technological understanding? What may be the benefits of the proposed activity to society?
Examples illustrating activities likely to demonstrate broader impacts are available electronically on the NSF website at: https://www.nsf.gov/pubs/gpg/broaderimpacts.pdf.
Mentoring activities provided to postdoctoral researchers supported on the project, as described in a one-page supplementary document, will be evaluated under the Broader Impacts criterion.
Additional Solicitation Specific Review Criteria
All proposals will be reviewed as a group, with all agencies collaborating, i.e., there will not be separate agency-specific review panels. In addition to the standard review criteria described above, the following additional criteria will be used in evaluating each proposal:
- Each project will be reviewed for its responsiveness to the goals of the solicitation and the extent to which multiple disciplines are engaged in moving toward a systems approach to regional and decadal modeling.
- Proposals will also be evaluated on the extent to which they engage students at the undergraduate and graduate levels, postdoctoral researchers, and early career scientists from a diverse set of disciplines in team-oriented, cross-disciplinary activities focused on achieving the goals of the solicitation.
- Special attention will be given to: (1) the soundness of the project and data management plans and (2) the appropriateness of the budget for the work proposed.
NSF staff also will give careful consideration to the following in making funding decisions:
Integration of Research and Education
One of the principal strategies in support of NSF's goals is to foster integration of research and education through the programs, projects, and activities it supports at academic and research institutions. These institutions provide abundant opportunities where individuals may concurrently assume responsibilities as researchers, educators, and students and where all can engage in joint efforts that infuse education with the excitement of discovery and enrich research through the diversity of learning perspectives.