
NSF Org: |
AGS Division of Atmospheric and Geospace Sciences |
Recipient: |
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Initial Amendment Date: | August 31, 2009 |
Latest Amendment Date: | July 18, 2013 |
Award Number: | 0855777 |
Award Instrument: | Continuing Grant |
Program Manager: |
Anna Hallar
ahallar@nsf.gov (703)292-0000 AGS Division of Atmospheric and Geospace Sciences GEO Directorate for Geosciences |
Start Date: | September 1, 2009 |
End Date: | August 31, 2013 (Estimated) |
Total Intended Award Amount: | $221,644.00 |
Total Awarded Amount to Date: | $221,644.00 |
Funds Obligated to Date: |
FY 2010 = $70,478.00 FY 2011 = $75,785.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
2400 6TH ST NW WASHINGTON DC US 20059-0002 (202)806-4759 |
Sponsor Congressional District: |
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Primary Place of Performance: |
2400 6TH ST NW WASHINGTON DC US 20059-0002 |
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): | Physical & Dynamic Meteorology |
Primary Program Source: |
01001011DB NSF RESEARCH & RELATED ACTIVIT 01001112DB NSF RESEARCH & RELATED ACTIVIT |
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
The primary objectives of this research are: (a) to numerically simulate important weather features of the West African monsoon system including, the African and tropical easterly Jets, long-lived mesoscale convective systems, and tropical cyclogenesis in the Eastern Atlantic; (b) to apply data assimilation for better quantifying and correcting model biases as they relate to numerical simulation of mesoscale convective systems (MCSs) and tropical cyclone genesis; and (c) to conduct sensitivity studies using different microphysical schemes in the numerical model when simulating cases with Saharan Air Layer (SAL) outbreaks. This research will advance the understanding of the MCSs transition processes as well as help identify the strengths and weaknesses of the Weather Research and Forecasting (WRF) model as it relates to simulating the West African monsoon.
Intellectual Merits: This project will: (1) Undertake modeling studies of tropical disturbances that exited the African Coastline and formed Tropical Storm Debby, and Hurricane Helene, which originated from MCSs in West Africa during the 2006 African Monsoon Multidisciplinary Analysis (AMMA) period. (2) Incorporate extensive upstream in situ measurements (e.g., high resolution surface and upper air observation networks) into data assimilation experiments for selected cases from 2006 and to validate the simulation results with downstream aircraft measurements (i.e., NASA DC-8 and NOAA G-IV and P-3 aircraft) (3) Undertake high-resolution modeling investigations of MCSs over continental areas and their transition to oceanic environments under the influence of the SAL. (4) Implement the WRF model at Cheikh Anta Diop University in Dakar, Senegal for research purposes.
Broader Impacts: The proposed activity is important in understanding tropical cyclone formation in the eastern Atlantic, as well as improving the prediction of these storms. This research will enhance the partnership and increase the human, technical, and physical capacity, between Florida Institute Technology, Howard University, and Cheikh Anta Diop University for undertaking educational and research efforts in the area of weather and regional climate processes. This project will fund two Ph.D. level graduate students, one at Florida Institute of Technology and one at Howard University. On the human scale, students from traditionally underrepresented groups (African and Hispanic Americans) will have the unique opportunity to work with data from an international field experiment and at the same time, the project will directly increase human capacity in the atmospheric sciences for West African researchers. There will be an effort to extend beyond research as well as education and address operational issues of weather predictions using mesoscale models. Finally, this project will open up a new chapter in weather prediction in West Africa, where mesoscale models currently are not used in weather prediction; instead, forecasts in these regions are currently based on numerical weather forecasting models that are run in either Europe or the United States. The capability to run their own models and adapt them to the characteristics of their region will significantly improve African forecasting abilities.
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.
Tropical cyclones are the costliest and deadliest natural disaster. The origins of the majority Atlantic Tropical cyclones are West Africa and the 3-5 day African easterly waves (AEWs). On average, approximately 3 stations launch radiosondes measuring the thermodynamic and dynamics state of the atmosphere each day. However, during the African Monsoon Multidisciplinary Activities (AMMA) field campaign, there were more than 15 upper air measurements at some locations where measurements had not occurred for several decades. 3-D VAR techniques were applied to an AEW, Squall line and Saharan Air Layer outbreak using the Weather and Research Forecasting (WRF) model. The results were mixed, with better forecast of a long-lived squall line but unexpectedly poor results for the Saharan Air Layer. We also applied an operational component producing real-time forecasts that are made available to Cape Verdian, Senegalese and Gambian forecasters as it relates to strong easterly waves and forecasted tropical cyclones in the Eastern Atlantic. These operational forecast have been very useful in forecasting the strength and location of Hurricanes Fred (2009) and Hurricane Humberto (2013) in real time, which passed near the Cape Verde Islands. We have also helped the Cape Verde Met office help set up the WRF model on their computational system. The MS thesis of Johnathan Clark also points to the use of 4-D variation techniques in data limited areas. Jonathan Clark graduated during the spring of 2013 with an MS in Atmospheric Sciences and was funded through this proposal. This work has directly led to, PhD student Ashford Reyes using the Ensemble Kalman Filter (EnKF) technique to examine genesis of tropical cyclones during 2010.
Last Modified: 11/28/2013
Modified by: Gregory Jenkins
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