English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations

Mueller, B., Seneviratne, S. I., Jimenez, C., Corti, T., Hirschi, M., Balsamo, G., et al. (2011). Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations. Geophysical Research Letters, 38(6), L06402. doi:10.1029/2010gl046230.

Item is

Files

show Files
hide Files
:
BGC1630.pdf (Publisher version), 4MB
 
File Permalink:
-
Name:
BGC1630.pdf
Description:
-
OA-Status:
Visibility:
Restricted (Max Planck Institute for Biogeochemistry, MJBK; )
MIME-Type / Checksum:
application/octet-stream
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Locator:
http://dx.doi.org/10.1029/2010gl046230 (Publisher version)
Description:
OA
OA-Status:

Creators

show
hide
 Creators:
Mueller, B., Author
Seneviratne, S. I., Author
Jimenez, C., Author
Corti, T., Author
Hirschi, M., Author
Balsamo, G., Author
Ciais, P., Author
Dirmeyer, P., Author
Fisher, J. B., Author
Guo, Z., Author
Jung, M.1, Author           
Maignan, F., Author
Mccabe, M. F., Author
Reichle, R., Author
Reichstein, M.1, Author           
Rodell, M., Author
Sheffield, J., Author
Teuling, A. J., Author
Wang, K., Author
Wood, E. F., Author
Zhang, Y., Author more..
Affiliations:
1Research Group Biogeochemical Model-data Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497760              

Content

show
hide
Free keywords: global evapotranspiration evapotranspiration datasets land-surface models IPCC AR4 1818 Hydrology: Evapotranspiration 1873 Hydrology: Uncertainty assessment 1855 Hydrology: Remote sensing
 Abstract: Quantification of global land evapotranspiration (ET) has long been associated with large uncertainties due to the lack of reference observations. Several recently developed products now provide the capacity to estimate ET at global scales. These products, partly based on observational data, include satellite-based products, land surface model (LSM) simulations, atmospheric reanalysis output, estimates based on empirical upscaling of eddy-covariance flux measurements, and atmospheric water balance datasets. The LandFlux-EVAL project aims to evaluate and compare these newly developed datasets. Additionally, an evaluation of IPCC AR4 global climate model (GCM) simulations is presented, providing an assessment of their capacity to reproduce flux behavior relative to the observations-based products. Though differently constrained with observations, the analyzed reference datasets display similar large-scale ET patterns. ET from the IPCC AR4 simulations was significantly smaller than that from the other products for India (up to 1 mm/d) and parts of eastern South America, and larger in the western USA, Australia and China. The inter-product variance is lower across the IPCC AR4 simulations than across the reference datasets in several regions, which indicates that uncertainties may be underestimated in the IPCC AR4 models due to shared biases of these simulations.

Details

show
hide
Language(s):
 Dates: 2011
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1029/2010gl046230
Other: BGC1630
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Geophysical Research Letters
  Abbreviation : GRL
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Washington, D.C. : American Geophysical Union
Pages: - Volume / Issue: 38 (6) Sequence Number: - Start / End Page: L06402 Identifier: ISSN: 0094-8276
CoNE: https://pure.mpg.de/cone/journals/resource/954925465217