Full Title | Improving ELM predictions using the Offline Land Model Testbed |
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First Author | Daniel Ricciuto ricciutodm@ornl.gov
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All Authors | Khachik Sargsyan, Peter Thornton |
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Topic | ‘Land Land - River - Human' |
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Project | E3SM |
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Abstract | The Offline land model testbed (OLMT) automates case creation, setup, build and execution of single point and regional ELM simulations for testing and validation. Model output may be compared with flux observations where available, for example at eddy covariance sites. OLMT may also be used to perform perturbed parameter ensembles (PPEs) which can then be used for sensitivity analysis and model calibration. Here we demonstrate the use of OLMT to assess biases in ELMv2 and reduce them perform model calibration. |
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In-person | no |
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Poster | Add a poster or a presentations here |
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Discussion Link | Add a link to your chosen place for discussion: either slack link, public google doc link or email address |
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