Parameterization and Surface Data Improvements and New Capabilities for the Community Land Model Urban (CLMU)

dc.contributor.authorOleson, K. W.
dc.contributor.authorFeddema, J.
dc.date.accessioned2020-07-06T16:47:24Z
dc.date.available2020-07-06T16:47:24Z
dc.date.copyright2019en_US
dc.date.issued2019
dc.description.abstractThe Community Land Model Urban (CLMU) is an urban parameterization developed to simulate urban climate within a global Earth System Model framework. This paper describes and evaluates parameterization and surface data improvements, and new capabilities that have been implemented since the initial release of CLMU in 2010 as part of version 4 of the Community Land Model (CLM4) and the Community Earth System Model (CESMĀ®). These include: 1) an expansion of model capability to simulate multiple urban density classes within each model grid cell; 2) a more sophisticated and realistic building space heating and air conditioning submodel; 3) a revised global dataset of urban morphological, radiative, and thermal properties utilized by the model, including a tool that allows for generating future urban development scenarios, and 4) the inclusion of a module to simulate various heat stress indices. The model and data are evaluated using observed data from five urban flux tower sites and a global anthropogenic heat flux (AHF) dataset. Generally, the new version of the model simulates urban radiative and turbulent fluxes, surface temperatures, and AHF as well or better than the previous version. Significant improvements in the global and regional simulation of AHF are also demonstrated that are primarily due to the new building energy model. The new model is available as part of the public release of CLM5 and CESM2.0.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThe CESM project is supported primarily by the National Science Foundation (NSF). This material is based upon work supported by the NSF under Grant Number AGS‐1243095 and upon work supported by the National Center for Atmospheric Research (NCAR), which is a major facility sponsored by the NSF under Cooperative Agreement No. 1852977. K.W. Oleson was supported in part by NASA grant NNX10AK79G (the SIMMER project) and the NCAR Weather and Climate Impacts Assessment Science Program (WCIASP). We would like to acknowledge the efforts of Brian Kauffman (NCAR) in developing the THESIS urban properties tool. Computing and data storage resources, including the Cheyenne supercomputer (doi:10.5065/D6RX99HX), were provided by the Computational and Information Systems Laboratory (CISL) at NCAR. We thank all the scientists, software engineers, and administrators who contributed to the development of CESM2. We gratefully acknowledge two anonymous reviewers for constructive comments that substantially improved the manuscript.en_US
dc.identifier.citationOleson, K. W. & Feddema, J. (2019). Parameterization and Surface Data Improvements and New Capabilities for the Community Land Model Urban (CLMU). Journal of Advances in Modeling Earth Systems, 12(2), 1-30. https://doi.org/10.1029/2018MS001586.en_US
dc.identifier.urihttps://doi.org/10.1029/2018MS001586
dc.identifier.urihttp://hdl.handle.net/1828/11895
dc.language.isoenen_US
dc.publisherJournal of Advances in Modeling Earth Systemsen_US
dc.subjectGlobal Land Model
dc.subjectEarth System Modeling
dc.subjectUrban Climate
dc.subjectUrban Canopy Models
dc.subject.departmentDepartment of Geography
dc.titleParameterization and Surface Data Improvements and New Capabilities for the Community Land Model Urban (CLMU)en_US
dc.typeArticleen_US

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