Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

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
  • IPP value: 4.28 IPP 4.28
  • SJR value: 2.404 SJR 2.404
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 51 Scimago H
    index 51
  • h5-index value: 40 h5-index 40
Volume 10, issue 9
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.
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
Short summary
Related subject area  
Atmospheric Sciences
HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module
Marc Guevara, Carles Tena, Manuel Porquet, Oriol Jorba, and Carlos Pérez García-Pando
Geosci. Model Dev., 12, 1885-1907, https://doi.org/10.5194/gmd-12-1885-2019,https://doi.org/10.5194/gmd-12-1885-2019, 2019
Short summary
RTTOV-gb v1.0 – updates on sensors, absorption models, uncertainty, and availability
Domenico Cimini, James Hocking, Francesco De Angelis, Angela Cersosimo, Francesco Di Paola, Donatello Gallucci, Sabrina Gentile, Edoardo Geraldi, Salvatore Larosa, Saverio Nilo, Filomena Romano, Elisabetta Ricciardelli, Ermann Ripepi, Mariassunta Viggiano, Lorenzo Luini, Carlo Riva, Frank S. Marzano, Pauline Martinet, Yun Young Song, Myoung Hwan Ahn, and Philip W. Rosenkranz
Geosci. Model Dev., 12, 1833-1845, https://doi.org/10.5194/gmd-12-1833-2019,https://doi.org/10.5194/gmd-12-1833-2019, 2019
Short summary
Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1)
Vincent Huijnen, Andrea Pozzer, Joaquim Arteta, Guy Brasseur, Idir Bouarar, Simon Chabrillat, Yves Christophe, Thierno Doumbia, Johannes Flemming, Jonathan Guth, Béatrice Josse, Vlassis A. Karydis, Virginie Marécal, and Sophie Pelletier
Geosci. Model Dev., 12, 1725-1752, https://doi.org/10.5194/gmd-12-1725-2019,https://doi.org/10.5194/gmd-12-1725-2019, 2019
Short summary
Evaluating the Met Office Unified Model land surface temperature in Global Atmosphere/Land 3.1 (GA/L3.1), Global Atmosphere/Land 6.1 (GA/L6.1) and limited area 2.2 km configurations
Jennifer K. Brooke, R. Chawn Harlow, Russell L. Scott, Martin J. Best, John M. Edwards, Jean-Claude Thelen, and Mark Weeks
Geosci. Model Dev., 12, 1703-1724, https://doi.org/10.5194/gmd-12-1703-2019,https://doi.org/10.5194/gmd-12-1703-2019, 2019
Short summary
The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 1: Aerosol evaluation
Ina Tegen, David Neubauer, Sylvaine Ferrachat, Colombe Siegenthaler-Le Drian, Isabelle Bey, Nick Schutgens, Philip Stier, Duncan Watson-Parris, Tanja Stanelle, Hauke Schmidt, Sebastian Rast, Harri Kokkola, Martin Schultz, Sabine Schroeder, Nikos Daskalakis, Stefan Barthel, Bernd Heinold, and Ulrike Lohmann
Geosci. Model Dev., 12, 1643-1677, https://doi.org/10.5194/gmd-12-1643-2019,https://doi.org/10.5194/gmd-12-1643-2019, 2019
Short summary
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