onr:"swepub:oai:DiVA.org:uu-390080"
Search: onr:"swepub:oai:DiVA.org:uu-390080" > Evaluation of Clima...
- 1 of 1
- Previous record
- Next record
- To hitlist
Evaluation of Climate Model Performance for Water Supply Studies : Case Study for New York City
-
- Anandhi, Aavudai (author)
- Florida A&M Univ, Coll Agr & Food Sci, Biol Syst Engn, Tallahassee, FL 32307 USA;Florida A&M Univ, Coll Agr & Food Sci, Ctr Water Resources, Tallahassee, FL 32307 USA
-
- Pierson, Don (author)
- Uppsala universitet,Limnologi
-
- Frei, Allan (author)
- CUNY, Hunter Coll, Dept Geog, New York, NY 10065 USA;CUNY, CUNY Inst Sustainable Cities, New York, NY 10065 USA
- (creator_code:org_t)
- ASCE-AMER SOC CIVIL ENGINEERS, 2019
- 2019
- English.
- In: Journal of water resources planning and management. - : ASCE-AMER SOC CIVIL ENGINEERS. - 0733-9496 .- 1943-5452. ; 145:8
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- Evaluating the suitability of data from global climate models (GCMs) for use as input in water supply models is an important step in the larger task of evaluating the effects of climate change on water resources management such as that of water supply operations. The purpose of this paper is to present the process by which GCMs were evaluated and incorporated into the New York City (NYC) water supply's planning activities and to provide conclusions regarding the overall effectiveness of the ranking procedure used in the evaluation. A suite of GCMs participating in Phase 3 of the Coupled Model Intercomparison Project (CMIP3) were evaluated for use in climate change projections in the watersheds of the NYC water supply that provide 90% of the water consumed by NYC. GCM data were aggregated using the seven land-grid points surrounding NYC watersheds, and these data with a daily timestep were evaluated seasonally using probability-based skill scores for various combinations of five meteorological variables (precipitation, average, maximum and minimum temperatures, and wind speed). These are the key variables for the NYC water supply because they affect the timing and magnitude of water, energy, sediment, and nutrient fluxes into the reservoirs as well as in simulating watershed hydrology and reservoir hydrodynamics. We attempted to choose a subset of GCMs based on the average of several skill metrics that compared baseline (20C3M) GCM results to observations. Skill metrics for the study indicate that the skill in simulating the frequency distributions of measured data is highest for temperature and lowest for wind. However, our attempts to identify the best model or subgroup of models were not successful because we found that no single model performs best when considering all of the variables and seasons.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Vattenteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Water Engineering (hsv//eng)
Keyword
- Evaluation GCM models
- Global climate models (GCMs)
- Probability-based skill score
- Fourth assessment report in Coupled Model Intercomparison Project (AR4
- CMIP3)
- Adaptation
- Water supply
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
- Journal of water resources planning and management (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Anandhi, Aavudai
- Pierson, Don
- Frei, Allan
- About the subject
-
- ENGINEERING AND TECHNOLOGY
- ENGINEERING AND ...
- and Civil Engineerin ...
- and Water Engineerin ...
- Articles in the publication
- Journal of water ...
- By the university
- Uppsala University
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
