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__all__ = ['open_griddesc', 'csv2inln', 'templatecsv'] | |
__doc__ = """ | |
csv2inln | |
======== | |
This module is meant to help make CMAQ-ready point source emission files from | |
a CSV file. By default, the emissions are time-independent for a day. However, | |
a tfactor_utc variable can be supplied to add a diurnal scaling factor. | |
Prerequisites |
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__version__ = "1.0.0" | |
__all__ = ['open_remote', 'open_naqfc', 'open_airnow', 'open_airfuse'] | |
__doc__ = """ | |
Utility for Comparing AirNow Surfaces | |
===================================== | |
Using AirNow grib2 AQI files as reference. Can compare to NAQFC from NOAA or | |
the AirFuse from AirNow. For simplicity, NAQFC and AirFuse are converted to | |
a Nowcast by averaging the last 3 time steps. The Nowcast is then put into AQI | |
units for comparison. |
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__doc__ = """ | |
Grid US Census Demographic Profile | |
================================== | |
Produce gridded TIGER Demographic Profile files for a subset of variables in | |
the an American Community Survey from either a 1-year or 5-year input files. | |
Requires: | |
- python>=3.7 | |
- numpy |
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__doc__ = """ | |
NEI Emission Summary | |
==================== | |
--- | |
author: Barron H. Henderson | |
last updated: 2025-04-17 | |
--- | |
Simple script to get Criteria or Hazardous Air Pollutants by 60 EIS emission |
#0000000001111111111222222222233333333334444444444555555555566666666667777777777 #1234567890123456789012345678901234567890123456789012345678901234567890123456789
The incomplete spatial coverage of monitors is a good motivation for data fusion. Monitors cover less than 30% of US counties, but more like 70% of the population. This is because dense populations often coincide with sources of polution and, therefore, are better monitored. The precise coverage of
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__version__ = '0.2.0' | |
__doc__ = """EMG Satellite-derived Emissions | |
=============================== | |
EMG Satellite-derived Emissions (emgsatemis) is designed to estimate emissions | |
from satellite data following many previous studies based on Bierle et al. | |
Functions: | |
- to_polar(x, y, degrees=False) | |
- to_cartesian(r, alpha, theta=0, degrees=False) |
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__version__ = '0.1.0' | |
__doc__ = """ | |
Demonstrating how to work with EMBER files from doi:10.5281/zenodo.13737754 | |
Requires requests, xarray, pandas, netcdf4, pyproj, pycno, and pyrsig | |
For example, install with pip: | |
python -m pip install -qq xarray pandas netcdf4 pyproj pycno pyrsig | |
Functions |
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<html> | |
<head> | |
<script> | |
class Axes { | |
constructor(axname, xmin, xmax, ymin, ymax, wm=0.1, hm=0.1) { | |
this.axname = axname | |
var canvas = document.getElementById(this.axname); | |
var ctx = canvas.getContext("2d"); | |
this.ctx = ctx; | |
this.w = canvas.width; |
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