Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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
Analysis of errors introduced by geographic coordinate systems on weather numeric prediction modeling
Yanni Cao1, Guido Cervone1,3, Zachary Barkley2, Thomas Lauvaux2, Aijun Deng2, and Alan Taylor1 1Department of Geography and Institute for CyberScience, The Pennsylvania State University, University Park, PA, USA
2Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, PA, USA
3Research Application Laboratory National Center for Atmospheric Research, Boulder, CO, USA
Abstract. Most atmospheric models, including the Weather Research and Forecasting (WRF) model, use a spherical geographic coordinate system to internally represent input data and perform computations. However, most geographic information system (GIS) input data used by the models are based on a spheroid datum because it better represents the actual geometry of the earth. WRF and other atmospheric models use these GIS input layers as if they were in a spherical coordinate system without accounting for the difference in datum.

When GIS layers are not properly reprojected, latitudinal errors of up to 21 km in the midlatitudes are introduced. Recent studies have suggested that for very high-resolution applications, the difference in datum in the GIS input data (e.g., terrain land use, orography) should be taken into account. However, the magnitude of errors introduced by the difference in coordinate systems remains unclear. This research quantifies the effect of using a spherical vs. a spheroid datum for the input GIS layers used by WRF to study greenhouse gas transport and dispersion in northeast Pennsylvania.


Citation: Cao, Y., Cervone, G., Barkley, Z., Lauvaux, T., Deng, A., and Taylor, A.: Analysis of errors introduced by geographic coordinate systems on weather numeric prediction modeling, Geosci. Model Dev., 10, 3425-3440, https://doi.org/10.5194/gmd-10-3425-2017, 2017.
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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...
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