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The MHEST tool created by the 2021 Spring ID Southern Idaho HAQ II team, takes CALIPSO and MODIS data, calculates mixing heights, and stages them for comparison with NWS Fire Weather Forecasts (and /or Spot Forecasts). The Fire Weather Forecasts are scrapes from an online archive, while CALIPSO and MODIS data for desired dates must be downloaded.

License: Other

Python 100.00%

mhest's Introduction

Mixing Height Estimation Toolbox (MHEST)

Code for the Southern Idaho Health and Air Quality II NASA DEVELOP project

Node: Pocatello, Idaho
Term: Spring 2021

Description

The MHEST tool takes CALIPSO and MODIS data, calculates mixing heights, and stages them for comparison with NWS Fire Weather Forecasts (and /or Spot Forecasts). The Fire Weather Forecasts are scrapes from an online archive, while CALIPSO and MODIS data for desired dates must be downloaded.

POC Contact Info

Chris Wright, 510-387-6338, [email protected]

Authors/Collaborators

Spring 2021: Chris Wright, Julia Liu, Dean Berkowitz, Lauren Mock
Fall 2020: Ashwini Badgujar, Sean Cusick, Patrick Giltz, Ella Griffith, Brandy Nisbet-Wilcox
Advisors: Dr. Kenton Ross, Dr. Travis Toth, Keith Weber

Requirements for running code

CALIPSO LiDAR Level 2 Vertical Feature Mask HDF files, MODIS data files, python editor.

In ASMOKRE_02.22.2021

We loop through CALIPSO HDF-format files on days of interest and extract data at relevant latitudes. We use bit-wise extraction to reveal:

  1. feature classification and
  2. feature sub-type

across the different transects. We then save the data to a specified directory.

Inputs
List of dates, lat / lon of interest (called 'matches'); CALIPSO HDF files

In Scrape_NWS

We loop through webpages corresponding to dates and fire weather zones of interest. From these webpages, we extract mixing height for “Today”, the day that the data was collected. We then process the data to stage it for comparison

Inputs
List of dates and PILS desired

In MOD07_processing

We loop through MODIS HDF-format files on days of interest, select the data within a geographic area of interest, plot the vertical Water Vapor Mixing Ratio profiles, calculate the gradients of the vertical profiles, and use the profiles to identify the mixing height altitudes.

Inputs
List of desired dates, lat / lon; MODIS files

To run

  1. Run ASMOKRE. Correct output from MSL to AGL in Arc
  2. Run Scrape_NWS. Follow instructions in script for staging data for comparison (merging).
  3. Run MOD07_processing

Recommended file structure

  1. A folder for CALIPSO files of interest
  2. A folder for MODIS files of interest
  3. An empty folder for ASMOKRE output
  4. A folder for all the inputs (desired days, latitudes, intermediate outputs, etc.)

Anything marked "CHANGE" can / must be changed to include your file path, set of files, personal preference on analysis type, etc.

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