| NSF Org: |
EAR Division Of Earth Sciences |
| Recipient: |
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| Initial Amendment Date: | April 5, 2019 |
| Latest Amendment Date: | April 5, 2019 |
| Award Number: | 1928724 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Laura Lautz
llautz@nsf.gov (703)292-7775 EAR Division Of Earth Sciences GEO Directorate for Geosciences |
| Start Date: | May 15, 2019 |
| End Date: | April 30, 2022 (Estimated) |
| Total Intended Award Amount: | $35,000.00 |
| Total Awarded Amount to Date: | $35,000.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
160 ALDRICH HALL IRVINE CA US 92697-0001 (949)824-7295 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
100 Academy Way Irvine CA US 92617-3002 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): |
Hydrologic Sciences, Physical & Dynamic Meteorology, Climate & Large-Scale Dynamics |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.050 |
ABSTRACT
Precipitation is difficult to predict both locally and globally. Scientists have identified many challenges in precipitation research. The International Precipitation Conference was established to bring together researchers from various fields to discuss these challenges. Scientists and engineers discuss challenges and opportunities facing the research community at the conference. The researchers develop collaborations during this conference. The conference supports early career scientists and provides training workshops.
Precipitation remains one of the most challenging variables to model and predict at local, regional and global scales with significant implications for our ability to quantify water and energy cycle dynamics, inform decision making, and predict extremes such as floods and droughts and their hydro-geomorphic hazards. The international community has acknowledged the challenges in precipitation research and has established the International Precipitation Conference (starting in 1986) to bring together the atmospheric, climate, hydrologic and applied water resources engineering communities to discuss challenges and develop collaborations that advance modeling and prediction. Building on the previous International Precipitation Conferences, this conference will bring together an international group of scientists and engineers to integrate research efforts, discuss challenges and opportunities facing the community, mentor young scientists, and craft future directions. The conference engages and supports early career scientists and graduate students in an international collaborative environment and fosters opportunities for future research collaborations. The conference program includes several training workshops.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The 12th International Precipitation Conference (IPC12) took place at the Beckman Center in Irvine, California on June 19-21, 2019. It focused on three main themes: (1) global precipitation estimation from multiple sensors; (2) water cycle dynamics and predictive modeling at local to regional to global scales; and (3) hydrologic impacts of precipitation extremes and anticipated change. Given the challenges of climate variability and change, especially changes in precipitation extremes and seasonality, specific emphasis was placed on sub-seasonal to seasonal (S2S) forecasting (the gap between weather forecasts and seasonal climate predictions) using models and observations and assessment of uncertainty propagation to impact studies such as floods, droughts and ecological changes. IPC12 also aimed to provide a forum to explore new data analytic and Machine Learning (ML) methodologies, taking advantage of the unprecedented explosion of Earth observations from space and climate model outputs, for improved estimation and prediction. It also brought together scientists and operational managers in an effort to bridge the gap from research to operations (R2O) and operations to research (O2R). Three workshops for Early Career Scientists were organized on: (1) Quantitative Precipitation Estimation (QPE): observations from radar, gauges and satellites for flood prediction, (2) Hands-on Workshop on Extreme Value Analysis, and (3) CHRS PERSIANN: algorithms, data products and applications. A IPC12 meeting summary article was published in the Bulletin of the American Meteorological Society (BAMS); Foufoula-Georgiou, 101 E1584-E1592, doi:10.1175/BAMS-D-20-0014.1, 2020 and a special collection of 25 papers was published in several AMS journals.
Last Modified: 08/11/2022
Modified by: Efi Foufoula-Georgiou
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