Node: Pocatello, Idaho
Term: Spring 2021
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.
Chris Wright, 510-387-6338, chrisw97@uw.edu
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
CALIPSO LiDAR Level 2 Vertical Feature Mask HDF files, MODIS data files, python editor.
We loop through CALIPSO HDF-format files on days of interest and extract data at relevant latitudes. We use bit-wise extraction to reveal:
- feature classification and
- 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
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
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
- Run
ASMOKRE
. Correct output from MSL to AGL in Arc - Run
Scrape_NWS
. Follow instructions in script for staging data for comparison (merging). - Run
MOD07_processing
- A folder for CALIPSO files of interest
- A folder for MODIS files of interest
- An empty folder for
ASMOKRE
output - 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.