The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements
Guo Yue Niu,Guo Yue Niu,Zong-Liang Yang,Kenneth E. Mitchell,Fei Chen,Michael Ek,Michael Barlage,Anil Kumar,Kevin W. Manning,Dev Niyogi,Enrique Rosero,Enrique Rosero,Mukul Tewari,Youlong Xia +13 more
Reads0
Chats0
TLDR
In this paper, the authors describe the objectives of 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).Abstract:
[1] 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.read more
Citations
More filters
Journal ArticleDOI
A decade of Predictions in Ungauged Basins (PUB)—a review
Markus Hrachowitz,Hubert H. G. Savenije,Günter Blöschl,Jeffrey J. McDonnell,Murugesu Sivapalan,John W. Pomeroy,Berit Arheimer,Theresa Blume,Martyn P. Clark,Uwe Ehret,Fabrizio Fenicia,Jim Freer,Alexander Gelfan,Hoshin V. Gupta,Denis A. Hughes,Rolf Hut,Alberto Montanari,Saket Pande,Doerthe Tetzlaff,Peter Troch,Stefan Uhlenbrook,Thibaut Wagener,Hessel Winsemius,Ross Woods,Erwin Zehe,Christophe Cudennec +25 more
TL;DR: The Prediction in Ungauged Basins (PUB) initiative of the International Association of Hydrological Sciences (IAHS) launched in 2003 and concluded by the PUB Symposium 2012 held in Delft (23-25 October 2012), set out to shift the scientific culture of hydrology towards improved scientific understanding of hydrological processes, as well as associated uncertainties and the development of models with increasing realism and predictive power as discussed by the authors.
A Description of the Advanced Research WRF Model Version 4
Journal ArticleDOI
The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins
Zong-Liang Yang,Guo Yue Niu,Guo Yue Niu,Kenneth E. Mitchell,Fei Chen,Michael Ek,Michael Barlage,Laurent Longuevergne,Kevin W. Manning,Dev Niyogi,Mukul Tewari,Youlong Xia +11 more
TL;DR: In this paper, the augmented Noah land surface model described in the first part of the two-part series was evaluated over global river basins across various climate zones, across various weather zones, and in addition, global-scale tests can reveal a model's weaknesses and strengths that a local-scale testing cannot.
Journal ArticleDOI
Pursuing the method of multiple working hypotheses for hydrological modeling
TL;DR: In this paper, the authors advocate using the method of multiple working hypotheses for systematic and stringent testing of model alternatives in hydrology and discuss how the multiple-hypothesis approach provides the flexibility to formulate alternative representations describing both individual processes and the overall system.
Journal ArticleDOI
Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities
Yuqiong Liu,Yuqiong Liu,Albrecht Weerts,Martyn P. Clark,Harrie-Jan Hendricks Franssen,Sujay V. Kumar,Sujay V. Kumar,Hamid Moradkhani,Dong Jun Seo,Dirk Schwanenberg,Paul Smith,A. I. J. M. van Dijk,N. van Velzen,Minxue He,Haksu Lee,Haksu Lee,Seong Jin Noh,Oldrich Rakovec,P. Restrepo +18 more
TL;DR: It is recommended that cost-effective transition of hydrologic DA from research to operations should be helped by developing community-based, generic modeling and DA tools or frameworks, and through fostering collaborative efforts among hydrologics modellers, DA developers, and operational forecasters.
References
More filters
A physically based, variable contributing area model of basin hydrology
Mike Kirkby,Keith Beven +1 more
TL;DR: In this paper, a hydrological forecasting model is presented that attempts to combine the important distributed effects of channel network topology and dynamic contributing areas with the advantages of simple lumped parameter basin models.
Journal ArticleDOI
A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant
Keith Beven,Mike Kirkby +1 more
TL;DR: In this paper, a hydrological forecasting model is presented that combines the important distributed effects of channel network topology and dynamic contributing areas with the advantages of simple luminescence.
Journal ArticleDOI
The Interpretation of the Variations in Leaf Water Potential and Stomatal Conductance Found in Canopies in the Field
TL;DR: In this paper, the stomatal conductance of illuminated leaves is a function of current levels of temperature, vapour pressure deficit, leaf water potential (really turgor pressure) and ambient CO $_2$ concentration and when plotted against any one of these variables a scatter diagram results.
Journal ArticleDOI
Regions of Strong Coupling Between Soil Moisture and Precipitation
Randal D. Koster,Paul A. Dirmeyer,Zhichang Guo,Gordon B. Bonan,Edmond Chan,Peter M. Cox,C. T. Gordon,Shinjiro Kanae,Eva Kowalczyk,David M. Lawrence,Ping Liu,Cheng-Hsuan Lu,Sergey Malyshev,Bryant J. McAvaney,Kenneth E. Mitchell,David Mocko,Taikan Oki,Keith W. Oleson,Andrew J. Pitman,Yogesh C. Sud,Christopher M. Taylor,Diana Verseghy,R. Vasic,Yongkang Xue,Tomohito J. Yamada +24 more
TL;DR: A multimodel estimation of the regions on Earth where precipitation is affected by soil moisture anomalies during Northern Hemisphere summer indicates potential benefits of this estimation may include improved seasonal rainfall forecasts.
Journal ArticleDOI
Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model
Michael Ek,Kenneth E. Mitchell,Y. Lin,E. Rogers,P. Grunmann,Victor Koren,G. Gayno,J. D. Tarpley +7 more
TL;DR: In this article, the authors present the impact tests that preceded the most recent operational upgrades to the land surface model used in the National Centers for Environmental Prediction (NCEP) mesoscale Eta model, whose operational domain includes North America.
Related Papers (5)
A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes
Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity
Fei Chen,Jimy Dudhia +1 more
The ERA-Interim reanalysis: configuration and performance of the data assimilation system
Dick Dee,S. Uppala,Adrian Simmons,Paul Berrisford,Paul Poli,Shinya Kobayashi,Ulf Andrae,Magdalena Balmaseda,Gianpaolo Balsamo,Peter Bauer,Peter Bechtold,Anton Beljaars,L. van de Berg,Jean Bidlot,Niels Bormann,C. Delsol,Rossana Dragani,Manuel Fuentes,Alan J. Geer,Leopold Haimberger,Sean Healy,Hans Hersbach,Elías Hólm,Lars Isaksen,P. Kallberg,Martin Köhler,Marco Matricardi,A. P. McNally,B. M. Monge-Sanz,Jean-Jacques Morcrette,B.-K. Park,Carole Peubey,P. de Rosnay,Christina Tavolato,Jean-Noël Thépaut,Frederic Vitart +35 more