The University of Southampton
University of Southampton Institutional Repository

The global ocean water cycle in atmospheric reanalysis, satellite, and ocean salinity

The global ocean water cycle in atmospheric reanalysis, satellite, and ocean salinity
The global ocean water cycle in atmospheric reanalysis, satellite, and ocean salinity
This study provides an assessment of the uncertainty in ocean-surface (OS) freshwater budgets and variability using evaporation (E) and precipitation (P) from 10 atmospheric reanalyses, 2 combined satellite-based E-P products, and 2 observation-based salinity products. Three issues are examined: the uncertainty level in the OS freshwater budget in atmospheric reanalyses, the uncertainty structure and association with the global ocean wet/dry zones, and the potential of salinity in ascribing the uncertainty in E-P. The products agree on the global mean pattern but differ considerably in magnitude. The OS freshwater budgets are 129±10 (8%) cm yr-1 for E, 118±11 (9%) cm yr-1 for P, and 11±4 (36%) cm yr-1 for E-P, where the mean and error represent the ensemble mean and one standard deviation of the ensemble spread. The E-P uncertainty exceeds the uncertainty in E and P by a factor of four or more. The large uncertainty is attributed to P in the tropical wet zone. Most reanalyses tend to produce a wider tropical rain band when compared to satellite products, with the exception of two recent reanalyses that implement an observation-based correction for the model-generated P over land. The disparity in the width and the extent of seasonal migrations of the tropical wet zone causes large spread in P, implying that the tropical moist physics and the realism of tropical rainfall remain a key challenge. Satellite salinity appears feasible to evaluate the fidelity of E-P variability in three tropical areas, where the uncertainty diagnosis has a global indication.
0894-8755
3829–3852
Yu, Lisan
24f3c81a-031c-4333-afb8-3030f94858ec
Jin, Xiangze
2011df12-b913-4289-80e2-cac1f1adcfcd
Josey, Simon A.
2252ab7f-5cd2-49fd-a951-aece44553d93
Lee, Tony
15743438-76b4-4ce4-b471-810571609ff4
Kumar, Arun
8ffc3591-5e44-4ffb-8a96-28783dab800d
Wen, Caihong
9a49f6a5-f2e9-4f8f-b87e-de97e213135b
Xue, Yan
b9448af2-36be-4d2f-a4b5-7b5d780ea50c
Yu, Lisan
24f3c81a-031c-4333-afb8-3030f94858ec
Jin, Xiangze
2011df12-b913-4289-80e2-cac1f1adcfcd
Josey, Simon A.
2252ab7f-5cd2-49fd-a951-aece44553d93
Lee, Tony
15743438-76b4-4ce4-b471-810571609ff4
Kumar, Arun
8ffc3591-5e44-4ffb-8a96-28783dab800d
Wen, Caihong
9a49f6a5-f2e9-4f8f-b87e-de97e213135b
Xue, Yan
b9448af2-36be-4d2f-a4b5-7b5d780ea50c

Yu, Lisan, Jin, Xiangze, Josey, Simon A., Lee, Tony, Kumar, Arun, Wen, Caihong and Xue, Yan (2017) The global ocean water cycle in atmospheric reanalysis, satellite, and ocean salinity. Journal of Climate, 30 (10), 3829–3852. (doi:10.1175/JCLI-D-16-0479.1).

Record type: Article

Abstract

This study provides an assessment of the uncertainty in ocean-surface (OS) freshwater budgets and variability using evaporation (E) and precipitation (P) from 10 atmospheric reanalyses, 2 combined satellite-based E-P products, and 2 observation-based salinity products. Three issues are examined: the uncertainty level in the OS freshwater budget in atmospheric reanalyses, the uncertainty structure and association with the global ocean wet/dry zones, and the potential of salinity in ascribing the uncertainty in E-P. The products agree on the global mean pattern but differ considerably in magnitude. The OS freshwater budgets are 129±10 (8%) cm yr-1 for E, 118±11 (9%) cm yr-1 for P, and 11±4 (36%) cm yr-1 for E-P, where the mean and error represent the ensemble mean and one standard deviation of the ensemble spread. The E-P uncertainty exceeds the uncertainty in E and P by a factor of four or more. The large uncertainty is attributed to P in the tropical wet zone. Most reanalyses tend to produce a wider tropical rain band when compared to satellite products, with the exception of two recent reanalyses that implement an observation-based correction for the model-generated P over land. The disparity in the width and the extent of seasonal migrations of the tropical wet zone causes large spread in P, implying that the tropical moist physics and the realism of tropical rainfall remain a key challenge. Satellite salinity appears feasible to evaluate the fidelity of E-P variability in three tropical areas, where the uncertainty diagnosis has a global indication.

Text
jcli-d-16-0479%2E1 - Accepted Manuscript
Restricted to Repository staff only
Request a copy
Text
JCLI-D-16-0479.1 - Version of Record
Download (3MB)

More information

Accepted/In Press date: 19 January 2017
Published date: 7 May 2017
Organisations: Marine Systems Modelling, National Oceanography Centre

Identifiers

Local EPrints ID: 407599
URI: http://eprints.soton.ac.uk/id/eprint/407599
ISSN: 0894-8755
PURE UUID: 0eb9b959-beab-44cb-a873-11af2418c269

Catalogue record

Date deposited: 16 Apr 2017 16:59
Last modified: 16 Mar 2024 05:12

Export record

Altmetrics

Contributors

Author: Lisan Yu
Author: Xiangze Jin
Author: Simon A. Josey
Author: Tony Lee
Author: Arun Kumar
Author: Caihong Wen
Author: Yan Xue

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×