The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements

Handle URI:
http://hdl.handle.net/10754/599888
Title:
The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements
Authors:
Niu, Guo-Yue; Yang, Zong-Liang; Mitchell, Kenneth E.; Chen, Fei; Ek, Michael B.; Barlage, Michael; Kumar, Anil; Manning, Kevin; Niyogi, Dev; Rosero, Enrique; Tewari, Mukul; Xia, Youlong
Abstract:
This first paper of the two-part series describes the objectives of the community efforts in improving the Noah land surface model (LSM), documents, through mathematical formulations, the augmented conceptual realism in biophysical and hydrological processes, and introduces a framework for multiple options to parameterize selected processes (Noah-MP). The Noah-MP's performance is evaluated at various local sites using high temporal frequency data sets, and results show the advantages of using multiple optional schemes to interpret the differences in modeling simulations. The second paper focuses on ensemble evaluations with long-term regional (basin) and global scale data sets. The enhanced conceptual realism includes (1) the vegetation canopy energy balance, (2) the layered snowpack, (3) frozen soil and infiltration, (4) soil moisture-groundwater interaction and related runoff production, and (5) vegetation phenology. Sample local-scale validations are conducted over the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE) site, the W3 catchment of Sleepers River, Vermont, and a French snow observation site. Noah-MP shows apparent improvements in reproducing surface fluxes, skin temperature over dry periods, snow water equivalent (SWE), snow depth, and runoff over Noah LSM version 3.0. Noah-MP improves the SWE simulations due to more accurate simulations of the diurnal variations of the snow skin temperature, which is critical for computing available energy for melting. Noah-MP also improves the simulation of runoff peaks and timing by introducing a more permeable frozen soil and more accurate simulation of snowmelt. We also demonstrate that Noah-MP is an effective research tool by which modeling results for a given process can be interpreted through multiple optional parameterization schemes in the same model framework. Copyright © 2011 by the American Geophysical Union.
Citation:
Niu G-Y, Yang Z-L, Mitchell KE, Chen F, Ek MB, et al. (2011) The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements. Journal of Geophysical Research 116. Available: http://dx.doi.org/10.1029/2010JD015139.
Publisher:
Wiley-Blackwell
Journal:
Journal of Geophysical Research
Issue Date:
24-Jun-2011
DOI:
10.1029/2010JD015139
Type:
Article
ISSN:
0148-0227
Sponsors:
This work was funded by NASA grants NAG5-10209, NAG5-12577, NNX07A79G, NNX 08AJ84G, NNX09AJ48G, NOAA grant NA07OAR4310076, a KAUST grant, and National Natural Science Foundation of China Project 40828004. We thank Robert E. Dickinson for reading the manuscript.
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Full metadata record

DC FieldValue Language
dc.contributor.authorNiu, Guo-Yueen
dc.contributor.authorYang, Zong-Liangen
dc.contributor.authorMitchell, Kenneth E.en
dc.contributor.authorChen, Feien
dc.contributor.authorEk, Michael B.en
dc.contributor.authorBarlage, Michaelen
dc.contributor.authorKumar, Anilen
dc.contributor.authorManning, Kevinen
dc.contributor.authorNiyogi, Deven
dc.contributor.authorRosero, Enriqueen
dc.contributor.authorTewari, Mukulen
dc.contributor.authorXia, Youlongen
dc.date.accessioned2016-02-28T06:31:44Zen
dc.date.available2016-02-28T06:31:44Zen
dc.date.issued2011-06-24en
dc.identifier.citationNiu G-Y, Yang Z-L, Mitchell KE, Chen F, Ek MB, et al. (2011) The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements. Journal of Geophysical Research 116. Available: http://dx.doi.org/10.1029/2010JD015139.en
dc.identifier.issn0148-0227en
dc.identifier.doi10.1029/2010JD015139en
dc.identifier.urihttp://hdl.handle.net/10754/599888en
dc.description.abstractThis first paper of the two-part series describes the objectives of the community efforts in improving the Noah land surface model (LSM), documents, through mathematical formulations, the augmented conceptual realism in biophysical and hydrological processes, and introduces a framework for multiple options to parameterize selected processes (Noah-MP). The Noah-MP's performance is evaluated at various local sites using high temporal frequency data sets, and results show the advantages of using multiple optional schemes to interpret the differences in modeling simulations. The second paper focuses on ensemble evaluations with long-term regional (basin) and global scale data sets. The enhanced conceptual realism includes (1) the vegetation canopy energy balance, (2) the layered snowpack, (3) frozen soil and infiltration, (4) soil moisture-groundwater interaction and related runoff production, and (5) vegetation phenology. Sample local-scale validations are conducted over the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE) site, the W3 catchment of Sleepers River, Vermont, and a French snow observation site. Noah-MP shows apparent improvements in reproducing surface fluxes, skin temperature over dry periods, snow water equivalent (SWE), snow depth, and runoff over Noah LSM version 3.0. Noah-MP improves the SWE simulations due to more accurate simulations of the diurnal variations of the snow skin temperature, which is critical for computing available energy for melting. Noah-MP also improves the simulation of runoff peaks and timing by introducing a more permeable frozen soil and more accurate simulation of snowmelt. We also demonstrate that Noah-MP is an effective research tool by which modeling results for a given process can be interpreted through multiple optional parameterization schemes in the same model framework. Copyright © 2011 by the American Geophysical Union.en
dc.description.sponsorshipThis work was funded by NASA grants NAG5-10209, NAG5-12577, NNX07A79G, NNX 08AJ84G, NNX09AJ48G, NOAA grant NA07OAR4310076, a KAUST grant, and National Natural Science Foundation of China Project 40828004. We thank Robert E. Dickinson for reading the manuscript.en
dc.publisherWiley-Blackwellen
dc.titleThe community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurementsen
dc.typeArticleen
dc.identifier.journalJournal of Geophysical Researchen
dc.contributor.institutionUniversity of Texas at Austin, Austin, United Statesen
dc.contributor.institutionUniversity of Arizona, Tucson, United Statesen
dc.contributor.institutionNational Center for Environmental Prediction, Camp Springs, United Statesen
dc.contributor.institutionNational Center for Atmospheric Research, Boulder, United Statesen
dc.contributor.institutionNASA Goddard Space Flight Center, Greenbelt, United Statesen
dc.contributor.institutionPurdue University, West Lafayette, United Statesen
dc.contributor.institutionExxonMobil, Irving, United Statesen
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