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Evaluating uncertainty in estimates of soil moisture memory with a reverse ensemble approach

Abstract:

Soil moisture memory is a key component of seasonal predictability. However, uncertainty in current memory estimates is not clear and it is not obvious to what extent these are dependent on model uncertainties. To address this question, we perform a global sensitivity analysis of memory to key hydraulic parameters, using an uncoupled version of the H-TESSEL land surface model. Results show significant dependency of estimates of memory and its uncertainty on these parameters, suggesting that o...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.5194/hess-20-2737-2016

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Institution:
University of Oxford
Department:
Oxford, MPLS, Physics, Atmos Ocean & Planet Physics
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Physics, Atmos Ocean & Planet Physics
Role:
Author
Publisher:
Copernicus Publications Publisher's website
Journal:
Hydrology and Earth System Sciences Journal website
Volume:
20
Issue:
7
Pages:
2737-2743
Publication date:
2016-07-12
Acceptance date:
2016-06-06
DOI:
EISSN:
1607-7938
ISSN:
1027-5606
Pubs id:
pubs:637624
URN:
uri:0a9cba2b-d916-4e54-b247-17d3931b3e73
UUID:
uuid:0a9cba2b-d916-4e54-b247-17d3931b3e73
Local pid:
pubs:637624
Paper number:
7
Keywords:

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