Conference item

Soil moisture uncertainty in models

Abstract:: This project aimed to understand uncertainty in land surface model (LSM) predictions of soil moisture (SM) over Africa, which is a result of uncertainty in the prescribed rainfall and soil parameters. To investigate the rainfall uncertainty a realistic range of rainfall scenarios for 2008 were run through an LSM. The daily rainfall timing and intensity was varied to see if this impacted the uncertainty. The highest uncertainty occurred when the daily rainfall was split over 3 hours instead of 1. The soil parameter uncertainty was investigated by varying model soil parameters within observed limits. This was by far the largest source of uncertainty.

Publication status:: Published

Peer review status:: Reviewed (other)

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APA Style

Brown, M., Quaife, T., & Black, E. (2015). Soil moisture uncertainty in models.

MLA Style

Brown, M, et al. “Soil Moisture Uncertainty in Models.” 2015.

Chicago Style

Brown, M, T Quaife, and E Black. 2015. “Soil Moisture Uncertainty in Models.”
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Files:: poster_matthew_brown.pdf

(Preview, Version of record, pdf, 719.8KB, Terms of use)

Authors

+ Brown, M More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Physics
Sub department:: Atmos Ocean & Planet Physics
Role:: Author

+ Quaife, T More by this author

Role:: Author

+ Black, E More by this author

Role:: Author

Publisher:: Joint UK Land Environment Simulator (JULES)
Host title:: JULES Science Meeting
Journal:: JULES Science Meeting More from this journal
Publication date:: 2015-06-25

Keywords:: land surface modelling

JULES

hydrology

soil moisture

SBTMR
Pubs id:: pubs:685171
UUID:: uuid:082ec4c7-d3b2-4bbc-a7b6-955ad7aebc97
Local pid:: pubs:685171
Source identifiers:: 685171
Deposit date:: 2017-03-09
ARK identifier:: ark:/29072/ora_082ec4c7d3b24bbca7b6955ad7aebc97

Terms of use

Copyright date:: 2015

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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