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code_DynamicUrbanAlbedo

DOI

Introduction

This repository is supplementary to the paper "Sun, Y., Fang, B., Oleson, K. W., Zhao, L., Topping, D. O., Schultz, D. M., & Zheng, Z. (2024). Improving Urban Climate Adaptation Modelling in the Community Earth System Model (CESM) Through Transient Urban Surface Albedo Representation. Journal of Advances in Modeling Earth Systems, 16, e2024MS004380. https://doi.org/10.1029/2024MS004380".

The objectives of this project are:

  • Modify CESM source code to realize transient urban albedo representation;
  • Apply the new scheme for quantifying urban albedo cooling effects;
  • Use simulation results for urban climate adaptation.

Scripts and data

The standard source code comes from CTSM, with the release tag: clm5.0.30.

The scripts listed below are used for processing simulation output and visualization.

Num. Subject Simulation Output data process Visualization
2.1 Roof albedo impacts on urban heat islands CNTL, ROOF_0.9, ROOF_DA Use Export.ipynb to get *.csv from 2015 to 2099 Figure.ipynb
2.2 Roof albedo impacts on urban heat stress and indoor temperature CNTL, ROOF_0.9, ROOF_DA Use Export.ipynb to get *.csv from 2015 to 2099 Figure.ipynb
2.3 Roof albedo impacts on surface energy budget CNTL, ROOF_0.9, ROOF_DA Use Export.ipynb to get *.csv from 2015 to 2099 Figure.ipynb
2.4 Urban surface heterogeneity in temperature CNTL, ROOF_DA, IMPROAD_DA, WALL_DA Use Export.ipynb to get *.csv from 2015 to 2099 Figure.ipynb
2.5 Urban landunit heterogeneity in temperature CNTL, ROOF_DA, IMPROAD_DA, WALL_DA Use Export.ipynb to get *.csv from 2015 to 2099 Figure.ipynb
2.6 Spatial variation CNTL, ROOF_DA, IMPROAD_DA, WALL_DA Use the 2040 outputs Figure.ipynb
2.7 Building energy in latitude CNTL, ROOF_DA, IMPROAD_DA, WALL_DA, ROOF_IMPROAD_DA, ROOF_IMPROAD_WALL_DA Use the 2040 outputs Figure.ipynb
2.8 Building energy balance CNTL, ROOF_DA, IMPROAD_DA, WALL_DA, ROOF_IMPROAD_DA, ROOF_IMPROAD_WALL_DA Use Export.ipynb to get *.csv from 2015 to 2099 Figure.ipynb

The figures listed below are used to illustrate details of the transient urban albedo scheme in CLMU.

Subject Visualization
Urban representation and parameterization in CLMU Figure
New module functionality Figure
Comparing workflow between the default scheme and the new scheme Figure
Reflectivity over urban surfaces Figure
Reflectivity over urban landunits Figure

The scripts listed below are used to show supplementary information such as input data, atmosphere variables, and computational performance.

Num. Subject Analysis Visualization
4.1 Default input parameters in CLMU Use Calculation.ipynb to calculate urban fraction and roof albedo Figure.ipynb
4.2 Actual surface albedo Compare actual surface albedo Figure.ipynb
4.3 Regression Use Export.ipynb to get the grid-cell level albedo and heat fluxes for Calculation.ipynb NA
4.4 Urban surface heterogeneity in energy budget Use Export.ipynb to get *.csv from 2015 to 2099 Figure.ipynb
4.5 Yearly atmosphere variables Use Export.ipynb to get the annual-mean outputs from 2015 to 2099 Figure.ipynb
4.6 Computational performance Compare timing log Figure.ipynb

Acknowledgments

  • This work used the ARCHER2 UK National Supercomputing Service. The authors would like to acknowledge the assistance given by Research IT and the use of the HPC Pool and Computational Shared Facility at The University of Manchester.
  • The support of Douglas Lowe and Christopher Grave from Research IT at The University of Manchester is gratefully acknowledged.
  • Zhonghua Zheng appreciates the support provided by the academic start-up funds from the Department of Earth and Environmental Sciences at The University of Manchester.
  • Yuan Sun is supported by the PhD studentship of Zhonghua Zheng's academic start-up funds.
  • Contributions from Keith W Oleson are based upon work supported by the NSF National Center for Atmospheric Research, which is a major facility sponsored by the U.S. National Science Foundation under Cooperative Agreement No. 1852977.
  • Lei Zhao acknowledges the support of the U.S. National Science Foundation (CAREER award Grant 2145362).
  • The authors declare no conflict of interest.