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ZENODO
Dataset . 2021
Data sources: Datacite
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ZENODO
Dataset . 2021
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
Data sources: ZENODO
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Data archive for paper "Machine Learning Emulation of Urban Land Surface Processes"

Authors: Meyer, David;

Data archive for paper "Machine Learning Emulation of Urban Land Surface Processes"

Abstract

This archive contains models, data* (Overview), as well as the Singularity image to optionally rerun experiments described in "Machine Learning Emulation of Urban Land Surface Processes". Prerequisites Linux or macOS with Bash shell. Singularity (tested with version 3.6.3-1.el8) Please note that all steps require Singularity to be installed on your system. If you are looking for information on how to install or use Singularity, please refer to the Singularity documentation. Overview A general overview of the repository structure is given below. Due to licensing restrictions analysis and forcing data (*) cannot be included and need to be requested separately (see Initialization). Data derivatives (**) from either analysis or forcing, as well as intermediary data (***), are not included as they can be generated by rerunning experiments (see Usage). . ├── data │ ├── analysis* │ ├── forcing* │ ├── teb │ ├── utils │ ├── wps │ └── wrf ├── hpc ├── models │ ├── teb │ ├── unn │ ├── wps │ └── wrf-unn ├── notebooks ├── outputs │ ├── analysis** │ ├── benchmark*** │ ├── forcing** │ ├── kerastuner*** │ ├── notebooks │ ├── tabular │ ├── teb** │ ├── unn** │ ├── wps*** │ └── wrf ├── paper │ └── figures ├── singularity └── tools Initialization Forcing and analysis data need to be requested separately. The following directories should map to their respective data archives: ./data/analysis -> Grimmond et al. (2013) ./data/forcing -> Grimmond et al. (2021) Usage To rerun all experiments and reproduce results, run tools/run_all.sh from your command prompt. After completion, all results are saved in the outputs directory. Note that WRF simulations require high CPU time and may take hours or days to complete. Alternatively, if Portable Batch System (PBS) is available on your system, the following helpers may be used instead: qsub hpc/submit_init.pbs qsub hpc/submit_tuner.pbs qsub hpc/submit_unn.pbs qsub hpc/submit_find_median_unn.pbs qsub hpc/submit_wrf.pbs qsub hpc/submit_postprocess.pbs qsub hpc/submit_benchmark.pbs Note that you may need to modify PBS helper scripts to suit your specific environment. Development notes See DEVELOP.md. License The source code developed for this work is licensed under MIT (LICENSE_CODE.txt). For licensing information of third-party software see licenses under the models directory. Data files in this archive, including the initial and boundary condition data from the European Centre for Medium-Range Weather Forecasts (data/wps/ungrib), are licensed under CC BY-NC 4.0 (LICENSE_DATA.txt).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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