A mathematical framework for analysis of water tracers: Part 1: Development of theory and application to the preindustrial mean state Public Deposited

http://ir.library.oregonstate.edu/concern/articles/tq57ns84t

This is the publisher’s final pdf. The published article is copyrighted by the author(s) and published by John Wiley & Sons, Inc. on behalf of the American Geophysical Union. The published article can be found at:  http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291942-2466/homepage/open_access_license_and_copyright.htm

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • A new matrix operator framework is developed to analyze results from climate modeling studies that employ numerical water tracers (WTs), which track the movement of water in the aerial hydrological cycle from evaporation to precipitation. Model WT output is related to the fundamental equation of hydrology, and the moisture flux divergence is subdivided into the divergence of locally evaporated moisture and the convergence of remotely evaporated moisture. The formulation also separates locally and remotely sourced precipitation. The remote contribution (also the remote moisture convergence) may be further subdivided into zonal, meridional, intrabasin, and interbasin parts. This framework is applied to the preindustrial climate as simulated by a global climate model in which water has been tagged in 10° latitude bands in each of the major ocean basins, and in which each major land mass has been tagged separately. New insights from the method reveal fundamental differences between the major ocean basins in locally sourced precipitation, remotely sourced precipitation, and their relative partitioning. Per unit area, the subtropical Atlantic is the largest global moisture source, providing precipitable water to adjacent land areas and to the eastern Pacific tropics while retaining the least for in situ precipitation. Subtropical moisture is least divergent over the Pacific, which is the smallest moisture source (per unit area) for global land areas. Basins also differ in how subtropical moisture is partitioned between tropical, midlatitude, and land regions. Part II will apply this framework to hydrological cycle perturbations due to CO₂ doubling.
Resource Type
DOI
Date Available
Date Issued
Citation
  • Singh, H. A., Bitz, C. M., Nusbaumer, J., & Noone, D. C. (2016). A mathematical framework for analysis of water tracers: Part 1. Development of theory and application to the preindustrial mean state. Journal of Advances in Modeling Earth Systems, 8(2), 991-1013. doi:10.1002/2016MS000649
Series
Keyword
Rights Statement
Funding Statement (additional comments about funding)
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Submitted by Patricia Black (patricia.black@oregonstate.edu) on 2016-08-12T14:53:25Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: bb87e2fb4674c76d0d2e9ed07fbb9c86 (MD5) SinghMathematicalFrameworkAnalysis.pdf: 20861349 bytes, checksum: 4ccc4b57b4e9cc722b43eb3626506fde (MD5)
  • description.provenance : Made available in DSpace on 2016-08-12T15:41:38Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: bb87e2fb4674c76d0d2e9ed07fbb9c86 (MD5) SinghMathematicalFrameworkAnalysis.pdf: 20861349 bytes, checksum: 4ccc4b57b4e9cc722b43eb3626506fde (MD5) Previous issue date: 2016-06
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2016-08-12T15:41:38Z (GMT) No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: bb87e2fb4674c76d0d2e9ed07fbb9c86 (MD5) SinghMathematicalFrameworkAnalysis.pdf: 20861349 bytes, checksum: 4ccc4b57b4e9cc722b43eb3626506fde (MD5)

Relationships

Parents:

This work has no parents.

Last modified

Downloadable Content

Download PDF

Items