Challenges in quantifying changes in the global water cycle

Understanding observed changes to the global water cycle is key to predicting future climate changes and their impacts. While many datasets document crucial variables such as precipitation, ocean salinity, runoff, and humidity, most are uncertain for determining long-term changes. In situ networks provide long time series over land, but are sparse in many regions, particularly the tropics. Satellite and reanalysis datasets provide global coverage, but their long-term stability is lacking. However, comparisons of changes among related variables can give insights into the robustness of observed changes. For example, ocean salinity, interpreted with an understanding of ocean processes, can help cross-validate precipitation. Observational evidence for human influences on the water cycle is emerging, but uncertainties resulting from internal variability and observational errors are too large to determine whether the observed and simulated changes are consistent. Improvements to the in situ and satellite observing networks that monitor the changing water cycle are required, yet continued data coverage is threatened by funding reductions. Uncertainty both in the role of anthropogenic aerosols and because of the large climate variability presently limits confidence in attribution of observed changes.

To Access Resource:

Questions? Email Resource Support Contact:

  • opensky@ucar.edu
    UCAR/NCAR - Library

Resource Type publication
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format PDF
Standardized Resource Format PDF
Asset Size N/A
Legal Constraints

Copyright 2015 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be "fair use" under Section 107 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Law (17 USC, as revised by P.L. 94-553) does not require the Society's permission. Republication, systematic reproduction, posting in electronic form on servers, or other uses of this material, except as exempted by the above statements, requires written permission or license from the AMS. Additional details are provided in the AMS Copyright Policies, available from the AMS at 617-227-2425 or amspubs@ametsoc.org. Permission to place a copy of this work on this server has been provided by the AMS. The AMS does not guarantee that the copy provided here is an accurate copy of the published work.


Access Constraints None
Software Implementation Language N/A

Resource Support Name N/A
Resource Support Email opensky@ucar.edu
Resource Support Organization UCAR/NCAR - Library
Distributor N/A
Metadata Contact Name N/A
Metadata Contact Email opensky@ucar.edu
Metadata Contact Organization UCAR/NCAR - Library

Author Hegerl, Gabriele
Black, Emily
Allan, Richard
Ingram, William
Polson, Debbie
Trenberth, Kevin
Chadwic, Robin
Arkin, Phillip
Sarojini, Beena
Becker, Andreas
Dai, Aiguo
Durack, Paul
Easterling, David
Fowler, Hayley
Kendon, Elizabeth
Huffman, George
Liu, Chunlei
Marsh, Robert
New, Mark
Osborn, Timothy
Skliris, Nikolaos
Stott, Peter
Vidale, Pier-Luigi
Wijffels, Susan
Wilcox, Laura
Willett, Kate
Zhang, Xuebin
Publisher UCAR/NCAR - Library
Publication Date 2015-07-01T00:00:00
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier N/A
Resource Version N/A
Topic Category geoscientificInformation
Progress N/A
Metadata Date 2023-08-18T19:04:59.213456
Metadata Record Identifier edu.ucar.opensky::articles:16875
Metadata Language eng; USA
Suggested Citation Hegerl, Gabriele, Black, Emily, Allan, Richard, Ingram, William, Polson, Debbie, Trenberth, Kevin, Chadwic, Robin, Arkin, Phillip, Sarojini, Beena, Becker, Andreas, Dai, Aiguo, Durack, Paul, Easterling, David, Fowler, Hayley, Kendon, Elizabeth, Huffman, George, Liu, Chunlei, Marsh, Robert, New, Mark, Osborn, Timothy, Skliris, Nikolaos, Stott, Peter, Vidale, Pier-Luigi, Wijffels, Susan, Wilcox, Laura, Willett, Kate, Zhang, Xuebin. (2015). Challenges in quantifying changes in the global water cycle. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7542psd. Accessed 24 June 2025.

Harvest Source