Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version5.0) with enhanced modularity, interoperability, and applicability

被引:22
作者
He, Cenlin [1 ]
Valayamkunnath, Prasanth [1 ,5 ]
Barlage, Michael [2 ]
Chen, Fei [1 ]
Gochis, David [1 ]
Cabell, Ryan [1 ]
Schneider, Tim [1 ]
Rasmussen, Roy [1 ]
Niu, Guo-Yue [3 ]
Yang, Zong-Liang [4 ]
Niyogi, Dev [4 ]
Ek, Michael [1 ]
机构
[1] Natl Ctr Atmospher Res NCAR, Boulder, CO 80305 USA
[2] NOAA Environm Modeling Ctr EMC, College Pk, MD USA
[3] Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ USA
[4] Univ Texas Austin, Dept Earth & Planetary Sci, Austin, TX USA
[5] Indian Inst Sci Educ & Res, Thiruvananthapuram, India
基金
美国国家科学基金会;
关键词
LEAF-AREA INDEX; SOIL-MOISTURE; HYDROLOGICAL EVALUATION; WATER; RUNOFF; SCHEME; PHOTOSYNTHESIS; CONDUCTANCE; CANOPIES; STORAGE;
D O I
10.5194/gmd-16-5131-2023
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The widely used open-source community Noah with multi-parameterization options (Noah-MP) land surface model (LSM) is designed for applications ranging from uncoupled land surface hydrometeorological and ecohydrological process studies to coupled numerical weather prediction and decadal global or regional climate simulations. It has been used in many coupled community weather, climate, and hydrology models. In this study, we modernize and refactor the Noah-MP LSM by adopting modern Fortran code standards and data structures, which substantially enhance the model modularity, interoperability, and applicability. The modernized Noah-MP is released as the version 5.0 (v5.0), which has five key features: (1) enhanced modularization as a result of re-organizing model physics into individual process-level Fortran module files, (2) an enhanced data structure with new hierarchical data types and optimized variable declaration and initialization structures, (3) an enhanced code structure and calling workflow as a result of leveraging the new data structure and modularization, (4) enhanced (descriptive and self-explanatory) model variable naming standards, and (5) enhanced driver and interface structures to be coupled with the host weather, climate, and hydrology models. In addition, we create a comprehensive technical documentation of the Noah-MP v5.0 and a set of model benchmark and reference datasets. The Noah-MP v5.0 will be coupled to various weather, climate, and hydrology models in the future. Overall, the modernized Noah-MP allows a more efficient and convenient process for future model developments and applications.
引用
收藏
页码:5131 / 5151
页数:21
相关论文
共 104 条
[81]   Implementing Dynamic Root Optimization in Noah-MP for Simulating Phreatophytic Root Water Uptake [J].
Wang, Ping ;
Niu, Guo-Yue ;
Fang, Yuan-Hao ;
Wu, Run-Jian ;
Yu, Jing-Jie ;
Yuan, Guo-Fu ;
Pozdniakov, Sergey P. ;
Scott, Russell L. .
WATER RESOURCES RESEARCH, 2018, 54 (03) :1560-1575
[82]   Physics-Based Narrowband Optical Parameters for Snow Albedo Simulation in Climate Models [J].
Wang, Wenli ;
He, Cenlin ;
Moore, John ;
Wang, Gongxue ;
Niu, Guo-Yue .
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2022, 14 (01)
[83]   Characterizing Surface Albedo of Shallow Fresh Snow and Its Importance for Snow Ablation on the Interior of the Tibetan Plateau [J].
Wang, Wenli ;
Yang, Kun ;
Zhao, Long ;
Zheng, Ziyan ;
Lu, Hui ;
Mamtimin, Ali ;
Ding, Baohong ;
Li, Xin ;
Zhao, Lin ;
Li, Hongyi ;
Che, Tao ;
Moore, John C. .
JOURNAL OF HYDROMETEOROLOGY, 2020, 21 (04) :815-827
[84]   A Wet-Bulb Temperature-Based Rain-Snow Partitioning Scheme Improves Snowpack Prediction Over the Drier Western United States [J].
Wang, Yuan-Heng ;
Broxton, Patrick ;
Fang, Yuanhao ;
Behrangi, Ali ;
Barlage, Michael ;
Zeng, Xubin ;
Niu, Guo-Yue .
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (23) :13825-13835
[85]  
Warrach-Sagi K., J. Geophys. Res.-Atmos., V127
[86]   Evaluation of snow cover fraction for regional climate simulations in the Sierra Nevada [J].
Wrzesien, Melissa L. ;
Pavelsky, Tamlin M. ;
Kapnick, Sarah B. ;
Durand, Michael T. ;
Painter, Thomas H. .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2015, 35 (09) :2472-2484
[87]   The Impact of Noah-MP Physical Parameterizations on Modeling Water Availability during Droughts in the Texas-Gulf Region [J].
Wu, Wen-Ying ;
Yang, Zong-Liang ;
Barlage, Michael .
JOURNAL OF HYDROMETEOROLOGY, 2021, 22 (05) :1221-1233
[88]   Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products [J].
Xia, Youlong ;
Mitchell, Kenneth ;
Ek, Michael ;
Sheffield, Justin ;
Cosgrove, Brian ;
Wood, Eric ;
Luo, Lifeng ;
Alonge, Charles ;
Wei, Helin ;
Meng, Jesse ;
Livneh, Ben ;
Lettenmaier, Dennis ;
Koren, Victor ;
Duan, Qingyun ;
Mo, Kingtse ;
Fan, Yun ;
Mocko, David .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2012, 117
[89]   Improve the Performance of the Noah-MP-Crop Model by Jointly Assimilating Soil Moisture and Vegetation Phenology Data [J].
Xu, Tongren ;
Chen, Fei ;
He, Xinlei ;
Barlage, Michael ;
Zhang, Zhe ;
Liu, Shaomin ;
He, Xiangping .
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2021, 13 (07)
[90]   Using WRF-Urban to Assess Summertime Air Conditioning Electric Loads and Their Impacts on Urban Weather in Beijing [J].
Xu, Xiaoyu ;
Chen, Fei ;
Shen, Shuanghe ;
Miao, Shiguang ;
Barlage, Michael ;
Guo, Wenli ;
Mahalov, Alex .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 123 (05) :2475-2490