Award Abstract # 1254557
U.S. Army Corps of Engineers (USACE) support for the National Center for Atmospheric Research

NSF Org: AGS
Division of Atmospheric and Geospace Sciences
Recipient: UNIVERSITY CORPORATION FOR ATMOSPHERIC RESEARCH
Initial Amendment Date: August 21, 2012
Latest Amendment Date: August 22, 2019
Award Number: 1254557
Award Instrument: Cooperative Agreement
Program Manager: Sarah Ruth
sruth@nsf.gov
 (703)292-7594
AGS
 Division of Atmospheric and Geospace Sciences
GEO
 Directorate for Geosciences
Start Date: August 15, 2012
End Date: September 30, 2020 (Estimated)
Total Intended Award Amount: $350,588.00
Total Awarded Amount to Date: $5,886,701.00
Funds Obligated to Date: FY 2012 = $350,588.00
FY 2013 = $754,205.00

FY 2014 = $680,056.00

FY 2015 = $1,181,630.00

FY 2016 = $1,969,302.00

FY 2017 = $855,145.00

FY 2018 = $95,775.00
History of Investigator:
  • Everette Joseph (Principal Investigator)
    ejoseph@ucar.edu
  • Roger Wakimoto (Former Principal Investigator)
  • Antonio Busalacchi (Former Principal Investigator)
  • Maura Hagan (Former Principal Investigator)
  • James Hurrell (Former Principal Investigator)
Recipient Sponsored Research Office: University Corporation For Atmospheric Res
3090 CENTER GREEN DR
BOULDER
CO  US  80301-2252
(303)497-1000
Sponsor Congressional District: 02
Primary Place of Performance: University Corporation For Atmospheric Research
Boulder
CO  US  80301-2252
Primary Place of Performance
Congressional District:
02
Unique Entity Identifier (UEI): YEZEE8W5JKA3
Parent UEI:
NSF Program(s):
Primary Program Source: 01001213RB NSF RESEARCH & RELATED ACTIVIT
01001314RB NSF RESEARCH & RELATED ACTIVIT

01001415RB NSF RESEARCH & RELATED ACTIVIT

01001516RB NSF RESEARCH & RELATED ACTIVIT

01001617RB NSF RESEARCH & RELATED ACTIVIT

01001718RB NSF RESEARCH & RELATED ACTIVIT

01001819RB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 4200, OTHR
Program Element Code(s):
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050

ABSTRACT

The National Center for Atmospheric Research will undertake a comprehensive assessment that quantifies and documents the major sources of uncertainties in hydrologic monitoring and model-prediction products. The goal of this work is to quantify the effects of different sources of uncertainty on different types of hydrologic forecasts used by the U.S. Army Corps of Engineers (USACE) water managers for different forecast time horizons and different forecast initialization times and for the different hydroclimates where USACE operates.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 76)
Addor, N., A.J. Newman, N. Mizukami, and M.P. Clark "The CAMELS data set: catchment attributes and meteorology for large-sample studies" Hydrology and Earth System Sciences , 2017 10.5194/hess-2018-23
Archfield, S. A., M. P. Clark, B. Arheimer, L. E. Hay, H. McMillan, J. E. Kiang, J. Seibert, K. Hakala, A. Bock, T. Wagener, W. H. Farmer, V. Andreassian, S. Attinger, A. Viglione, R. Knight, S. Markstrom, and T. Over "Accelerating advances in continental domain hydrologic modeling" Water Resources Research , 2015
Arnal, L, AW Wood, E Stephens, H Cloke, F Pappenberger "An Efficient Approach for Estimating Streamflow Forecast Skill Elasticity" J. Hydrometeorology , 2017
Arnal, L., AW Wood, E. Stephens, H.L. Cloke, and F. Pappenberger "An Efficient Approach for Estimating Streamflow Forecast Skill Elasticity" Journal of Hydrometeorology , 2017 10.1175/JHM-D-16-0259.1
Chegwidden, O. S., B. Nijssen, D.E. Rupp, J.R. Arnold, M.P. Clark, J.J. Hamman, SC. Kao, Y. Mao, N. Mizukami, P. Mote, M. Pan, E. Pytlak, M. Xiao "How do modeling decisions affect the spread among hydrologic climate change projections? Exploring a large ensemble of simulations across a diversity of hydroclimates" Earth's Future , v.7 , 2019 https://doi.org/10.1029/2018EF001047
Chegwidden, O. S., B. Nijssen, D.E. Rupp, J.R. Arnold, M.P. Clark, J.J. Hamman, SC. Kao, Y. Mao, N. Mizukami, P. Mote, M. Pan, E. Pytlak, M. Xiao "How do modeling decisions affect the spread among hydrologic climate change projections? Exploring a large ensemble of simulations across a diversity of hydroclimates." Earth's Future , v.7 , 2019 https://doi.org/10.1029/2018EF001047
Clark, M. P., B. Nijssen, J. D. Lundquist, D. Kavetski, D. E. Rupp, R. A. Woods, J. E. Freer, E. D. Gutmann, A. W. Wood, D. J. Gochis, R. M. Rasmussen, D. G. Tarboton, V. Mahat, G. N. Flerchinger, and D. G. Marks "A unified approach for process-based hydrologic modeling: 2. Model implementation and case studies" Water Resources Research , 2015
Clark, M. P., B. Nijssen, J. D. Lundquist, D. Kavetski, D. E. Rupp, R. A. Woods, J. E. Freer, E. D. Gutmann, A. W. Wood, L. D. Brekke, J. R. Arnold, D. J. Gochis, and R. M. Rasmussen "A unified approach for process-based hydrologic modeling: 1. Modeling concept" Water Resources Research , 2015
Clark, M.P., B. Nijssen, J. Lundquist, D. Kavetski, D. Rupp, E. Gutmann, A. Wood, D. Gochis, R. Rasmussen, D. Tarboton, V. Mahat, G. Flerchinger. and D. Marks "A unified approach to hydrologic modeling: Part 1. Model structure." Water Resources Research , v.51 , 2015 , p.2498 10.1002/2015WR017198
Clark, M.P., B. Nijssen, J. Lundquist, D. Kavetski, D. Rupp, E. Gutmann, A. Wood, D. Gochis, R. Rasmussen, D. Tarboton, V. Mahat, G. Flerchinger. and D. Marks "A unified approach to hydrologic modeling: Part 2. Comparison of alternative process representations." Water Resources Research , 2015 , p.2515 10.1002/2015WR017200
Clark, M. P., B. Schaefli, S. Schymanski, L. Samaniego, C. Luce, B. Jackson, J. Freer, J. R. Arnold, D. Moore, E. Istanbulluoglu, and S. Ceola "Improving the theoretical underpinnings of process-based hydrologic models" Water Resources Research , 2016
(Showing: 1 - 10 of 76)

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.

This report represents projects that are funded by the U.S. Army Corps of Engineers (USACE) and awarded through the National Science Foundation (NSF) Cooperative Agreement to the University Corporation for Atmospheric Research (UCAR) for the National Center for Atmospheric Research (NCAR).

Since 2010, the USACE has supported a suite of projects that have developed a coordinated system of products and tools to improve the use of climate change information in water resource planning and management. The USACE-supported projects have advanced through the point of identifying and developing capabilities, with testing in pilot domains. Work has focused on extending implementation of the products throughout the USA (including Alaska, Hawaii, and Puerto Rico) for specific final tests and actual implementation at the USACE District level to address climate change issues.

NCAR research efforts assessed opportunities to improve hydrologic prediction products.  NCAR scientists undertook projects to understand the impacts of climate variability and change on water resources, and worked to develop effective climate adaptation strategies in the water sector. NCAR completed a comprehensive assessment of the predictability of streamflow across the contiguous U.S.. Scientists identified key opportunities to improve streamflow forecasts, which have improved the management of the nations water resources. Modeling tools and the integration of disparate data sources have provided a valuable amount of information resources for the scientific community. The outcomes of the projects also led to improved understanding of why different climate impact assessment models/methods provide different results as well as the development and provision of more robust and reliable information on the impacts of climate change on the water sector. NCAR research efforts in the hydrologic sector have improved the ability to monitor and predict floods and droughts, which benefit society through hazard reduction and improved water security.

Findings from the projects were shared in public meetings, and have been presented through talks and posters at a number of regional, sectoral and national conferences.  Websites were also created to disseminate data to the research community on the topic of hydrologic prediction.

 


Last Modified: 01/27/2021
Modified by: Everette D Joseph

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