Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Volume 10, issue 9 | Copyright
Geosci. Model Dev., 10, 3425-3440, 2017
https://doi.org/10.5194/gmd-10-3425-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 19 Sep 2017

Development and technical paper | 19 Sep 2017

Analysis of errors introduced by geographic coordinate systems on weather numeric prediction modeling

Yanni Cao et al.
Related authors
Quantifying methane emissions from natural gas production in north-eastern Pennsylvania
Zachary R. Barkley, Thomas Lauvaux, Kenneth J. Davis, Aijun Deng, Natasha L. Miles, Scott J. Richardson, Yanni Cao, Colm Sweeney, Anna Karion, MacKenzie Smith, Eric A. Kort, Stefan Schwietzke, Thomas Murphy, Guido Cervone, Douglas Martins, and Joannes D. Maasakkers
Atmos. Chem. Phys., 17, 13941-13966, https://doi.org/10.5194/acp-17-13941-2017,https://doi.org/10.5194/acp-17-13941-2017, 2017
Related subject area
Atmospheric Sciences
Assimilating compact phase space retrievals (CPSRs): comparison with independent observations (MOZAIC in situ and IASI retrievals) and extension to assimilation of truncated retrieval profiles
Arthur P. Mizzi, David P. Edwards, and Jeffrey L. Anderson
Geosci. Model Dev., 11, 3727-3745, https://doi.org/10.5194/gmd-11-3727-2018,https://doi.org/10.5194/gmd-11-3727-2018, 2018
libcloudph++ 2.0: aqueous-phase chemistry extension of the particle-based cloud microphysics scheme
Anna Jaruga and Hanna Pawlowska
Geosci. Model Dev., 11, 3623-3645, https://doi.org/10.5194/gmd-11-3623-2018,https://doi.org/10.5194/gmd-11-3623-2018, 2018
CTDAS-Lagrange v1.0: a high-resolution data assimilation system for regional carbon dioxide observations
Wei He, Ivar R. van der Velde, Arlyn E. Andrews, Colm Sweeney, John Miller, Pieter Tans, Ingrid T. van der Laan-Luijkx, Thomas Nehrkorn, Marikate Mountain, Weimin Ju, Wouter Peters, and Huilin Chen
Geosci. Model Dev., 11, 3515-3536, https://doi.org/10.5194/gmd-11-3515-2018,https://doi.org/10.5194/gmd-11-3515-2018, 2018
Implementation of a simple thermodynamic sea ice scheme, SICE version 1.0-38h1, within the ALADIN–HIRLAM numerical weather prediction system version 38h1
Yurii Batrak, Ekaterina Kourzeneva, and Mariken Homleid
Geosci. Model Dev., 11, 3347-3368, https://doi.org/10.5194/gmd-11-3347-2018,https://doi.org/10.5194/gmd-11-3347-2018, 2018
ORACLE 2-D (v2.0): an efficient module to compute the volatility and oxygen content of organic aerosol with a global chemistry–climate model
Alexandra P. Tsimpidi, Vlassis A. Karydis, Andrea Pozzer, Spyros N. Pandis, and Jos Lelieveld
Geosci. Model Dev., 11, 3369-3389, https://doi.org/10.5194/gmd-11-3369-2018,https://doi.org/10.5194/gmd-11-3369-2018, 2018
Cited articles
Barkley, Z. R., Lauvaux, T., Davis, K. J., Deng, A., Cao, Y., Sweeney, C., Martins, D., Miles, N. L., Richardson, S. J., Murphy, T., Cervone, G., Karion, A., Schwietzke, S., Smith, M., Kort, E. A., and Maasakkers, J. D.: Quantifying methane emissions from natural gas production in northeastern Pennsylvania, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-200, in review, 2017.
Bugayevskiy, L. M. and Snyder, J.: Map projections: A reference manual, CRC Press, Philadelphia, USA, 1995.
Chen, F. and Dudhia, J.: Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity, Mon. Weather Rev., 129, 569–585, 2001.
Cao, Y. and Cervone, G.: WRF processing, available at: https://github.com/yannicao/wrf_reprojection, last access: 22 July 2017.
David, C. H., Gochis, D. J., Maidment, D. R., Yu, W., Yates, D. N., and Yang, Z.-L.: Using NHDPlus as the Land Base for the Noah-distributed Model, Transactions in GIS, 13, 363–377, 2009.
Publications Copernicus
Download
Short summary
This research investigates the role and importance of reprojecting geographic information system layers used by weather numerical models as input by performing sensitivity studies of greenhouse gas transport and dispersion in northeastern Pennsylvania. To bridge the gap between geographic information system data and atmospheric models, this study presents an innovative approach by creating R code to automatically generate model input from geographic data and analyze the model output.
This research investigates the role and importance of reprojecting geographic information system...
Citation
Share