CSDMS Data Components: data-model integration tools for Earth surface processes modeling

被引:0
|
作者
Gan, Tian [1 ]
Tucker, Gregory E. [2 ,3 ]
Hutton, Eric W. H. [1 ]
Piper, Mark D. [1 ]
Overeem, Irina [1 ,2 ]
Kettner, Albert J. [1 ]
Campforts, Benjamin [1 ]
Moriarty, Julia M. [1 ,4 ]
Undzis, Brianna [1 ,4 ]
Pierce, Ethan [1 ,2 ]
Mccready, Lynn [1 ]
机构
[1] Univ Colorado, Inst Arctic & Alpine Res INSTAAR, Boulder, CO 80309 USA
[2] Univ Colorado, Dept Geol Sci, Boulder, CO 80309 USA
[3] Univ Colorado, Cooperat Inst Res Environm Sci CIRES, Boulder, CO 80309 USA
[4] Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA
基金
美国国家科学基金会;
关键词
COASTAL REGIONS; LANDLAB; FLOW; WILDFIRE; PLATFORM; EROSION;
D O I
10.5194/gmd-17-2165-2024
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Progress in better understanding and modeling Earth surface systems requires an ongoing integration of data and numerical models. Advances are currently hampered by technical barriers that inhibit finding, accessing, and executing modeling software with related datasets. We propose a design framework for Data Components, which are software packages that provide access to particular research datasets or types of data. Because they use a standard interface based on the Basic Model Interface (BMI), Data Components can function as plug-and-play components within modeling frameworks to facilitate seamless data-model integration. To illustrate the design and potential applications of Data Components and their advantages, we present several case studies in Earth surface processes analysis and modeling. The results demonstrate that the Data Component design provides a consistent and efficient way to access heterogeneous datasets from multiple sources and to seamlessly integrate them with various models. This design supports the creation of open data-model integration workflows that can be discovered, accessed, and reproduced through online data sharing platforms, which promotes data reuse and improves research transparency and reproducibility.
引用
收藏
页码:2165 / 2185
页数:21
相关论文
共 50 条
  • [1] CSDMS: a community platform for numerical modeling of Earth surface processes
    Tucker, Gregory E.
    Hutton, Eric W. H.
    Piper, Mark D.
    Campforts, Benjamin
    Gan, Tian
    Barnhart, Katherine R.
    Kettner, Albert J.
    Overeem, Irina
    Peckham, Scott D.
    McCready, Lynn
    Syvitski, Jaia
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2022, 15 (04) : 1413 - 1439
  • [2] Data-model integration is not magic
    Classen, AT
    Langley, JA
    NEW PHYTOLOGIST, 2005, 166 (02) : 367 - 369
  • [3] Tools for Visualizing Data-Model Misfit and Model Modifications in Structural Equation Modeling
    Meyer, Christitan T.
    Hancock, Gregory R.
    MULTIVARIATE BEHAVIORAL RESEARCH, 2022, 57 (01) : 157 - 158
  • [4] Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data-model integration
    Fer, Istem
    Gardella, Anthony K.
    Shiklomanov, Alexey N.
    Campbell, Eleanor E.
    Cowdery, Elizabeth M.
    De Kauwe, Martin G.
    Desai, Ankur
    Duveneck, Matthew J.
    Fisher, Joshua B.
    Haynes, Katherine D.
    Hoffman, Forrest M.
    Johnston, Miriam R.
    Kooper, Rob
    LeBauer, David S.
    Mantooth, Joshua
    Parton, William J.
    Poulter, Benjamin
    Quaife, Tristan
    Raiho, Ann
    Schaefer, Kevin
    Serbin, Shawn P.
    Simkins, James
    Wilcox, Kevin R.
    Viskari, Toni
    Dietze, Michael C.
    GLOBAL CHANGE BIOLOGY, 2021, 27 (01) : 13 - 26
  • [5] Data-model integration - An approach to assimilation of sea level anomaly data into an oceanographic model
    Babovic, Vladan
    NUMERICAL MODELLING OF HYDRODYNAMICS FOR WATER RESOURCES, 2008, : 67 - 75
  • [7] Refining data-data and data-model vegetation comparisons using the Earth mover's distance (EMD)
    Chevalier, Manuel
    Dallmeyer, Anne
    Weitzel, Nils
    Li, Chenzhi
    Baudouin, Jean-Philippe
    Herzschuh, Ulrike
    Cao, Xianyong
    Hense, Andreas
    CLIMATE OF THE PAST, 2023, 19 (05) : 1043 - 1060
  • [8] Built environments, communities, and housing price: A data-model integration approach
    Wei, Hong
    Chen, Yimin
    Chen, Bin
    Shi, Shuai
    Tu, Ying
    Xu, Bing
    APPLIED GEOGRAPHY, 2024, 166
  • [9] HYDROLOGICAL DATA-MODEL WORK IN GREENLAND
    THOMSEN, T
    JORGENSEN, GH
    NORDIC HYDROLOGY, 1984, 15 (01) : 39 - 56
  • [10] Big data-model integration and AI for vector-borne disease prediction
    Peters, Debra P. C.
    McVey, D. Scott
    Elias, Emile H.
    Pelzel-McCluskey, Angela M.
    Derner, Justin D.
    Burruss, N. Dylan
    Schrader, T. Scott
    Yao, Jin
    Pauszek, Steven J.
    Lombard, Jason
    Rodriguez, Luis L.
    ECOSPHERE, 2020, 11 (06):