initial commit

README.md

+ibtracs.py
+
+Written By Jared Rennie, North Carolina Institute for Climate Studies
+Plays with NOAA NCEI's IBTRACS dataset, which includes HURDAT2
+
+Requires the following:
+     - Python 3.8.x
+     - Pandas 1.1.4 
+
+I would suggest using conda to acquire these packages:
+     - https://docs.conda.io/en/latest/miniconda.html
+
+Command to Run (after installation)
+     python ibtracs.py
+
+Uses IBTRACS version 4
+     - Data Source: https://www.ncei.noaa.gov/data/international-best-track-archive-for-climate-stewardship-ibtracs/v04r00/access/csv/ibtracs.NA.list.v04r00.csv
+     - IBTRACS website: https://www.ncdc.noaa.gov/ibtracs/
+     - Documentation for 163 Headers: https://www.ncdc.noaa.gov/ibtracs/pdf/IBTrACS_v04_column_documentation.pdf

bob_wind.csv

+LAT,LON,USA_WIND
+25.6000,-74.3000,25
+25.6476,-74.6074,25
+25.7000,-74.9000,25
+25.7700,-75.1651,27
+25.9000,-75.4000,30
+26.1124,-75.6076,32
+26.4000,-75.8000,35
+26.7350,-76.0075,37
+27.1000,-76.2000,40
+27.4574,-76.3502,42
+27.8000,-76.5000,45
+28.1076,-76.7075,50
+28.4000,-76.9000,55
+28.6925,-77.0375,60
+29.0000,-77.1000,65
+29.3350,-77.0727,67
+29.7000,-77.0000,70
+30.0775,-76.9647,72
+30.5000,-76.9000,75
+30.9475,-76.7796,77
+31.5000,-76.6000,80
+32.2049,-76.3870,82
+33.0000,-76.1000,85
+33.7701,-75.7221,90
+34.6000,-75.3000,95
+35.4893,-74.9489,97
+36.5000,-74.5000,100
+37.6485,-73.8076,97
+38.9000,-73.0000,95
+40.2900,-72.2457,92
+41.2000,-71.6000,90
+41.4000,-71.4000,85
+42.6462,-70.5227,72
+43.8000,-69.6000,60
+44.1000,-69.1000,60
+44.5411,-68.6036,56
+45.6000,-67.6000,50
+46.3476,-66.6579,47
+47.0000,-65.5000,45
+47.7019,-63.8118,42
+48.4000,-61.9000,40
+49.1203,-60.0831,40
+49.8000,-58.3000,40
+50.3989,-56.5888,40
+50.9000,-54.9000,40
+51.3055,-53.1994,37
+51.6000,-51.4000,35
+51.7994,-49.4231,32
+51.9000,-47.3000,30
+51.9497,-45.0812,30
+51.9000,-42.8000,30
+51.7568,-40.5290,32
+51.5000,-38.3000,35
+51.1714,-36.1524,37
+50.7000,-34.1000,40
+50.0567,-32.1415,40
+49.3000,-30.3000,40
+48.4975,-28.5426,40
+47.7000,-26.9000,40
+46.9534,-25.3357,40
+46.3000,-23.9000,40
+45.7770,-22.5417,37
+45.3000,-21.4000,35
+44.7563,-20.5012,32
+44.2000,-19.9000,30
+43.6192,-19.5619,27
+43.1000,-19.4000,25
+42.6824,-19.2506,25
+42.4000,-19.1000,25
+42.2550,-18.8652,25
+42.2000,-18.6000,25
+42.1501,-18.3276,25
+42.1000,-18.1000,25
+42.0074,-17.9700,25
+41.9000,-17.9000,25
+41.8150,-17.8501,25
+41.7000,-17.8000,25
+41.5150,-17.7150,25
+41.3000,-17.6000,25
+41.0999,-17.4727,25
+40.9000,-17.3000,25
+40.6923,-17.0876,25
+40.5000,-16.8000,25
+40.3351,-16.4225,25
+40.2000,-16.0000,25
+40.0849,-15.6001,22
+40.0000,-15.2000,20
+39.9350,-14.7851,20
+39.9000,-14.4000,20
+39.8847,-14.0925,20
+39.9000,-13.8000,20
+39.9500,-13.4577,20
+40.0000,-13.1000,20
+40.0075,-12.7424,20
+40.0000,-12.4000,20
+39.9999,-12.0850,20
+40.0000,-11.8000,20
+39.9999,-11.5350,17
+40.0000,-11.3000,15
+39.9999,-11.0925,15
+40.0000,-10.9000,15
+40.0000,-10.7000,15
+40.0000,-10.5000,15
+40.0000,-10.2850,12
+40.0000,-10.1000,10
+40.0000,-9.98000,10
+40.0000,-9.90000,10

ibtracs.py

+################################################################################
+# Written By Jared Rennie, North Carolina Institute for Climate Studies
+# Plays with NOAA NCEI's IBTRACS dataset, which includes HURDAT2
+#
+# Requires the following:
+#     - Python 3.8.x
+#     - Pandas 1.1.4 
+#
+# I would suggest using conda to acquire these packages:
+#     - https://docs.conda.io/en/latest/miniconda.html
+#
+# Command to Run (after installation)
+#     python ibtracs.py
+#
+# Uses IBTRACS version 4
+#     - From Here: https://www.ncei.noaa.gov/data/international-best-track-archive-for-climate-stewardship-ibtracs/v04r00/access/csv/ibtracs.NA.list.v04r00.csv
+################################################################################
+
+########################################
+# Import Packages
+import pandas as pd
+
+########################################
+# Read In IBTRACS File
+input_grid='ibtracs.NA.list.v04r00.csv'
+
+print("\n####################\nREAD IN FILE: ",input_grid)
+ibtracs_all = pd.read_table(input_grid,delimiter=',',dtype='str',skiprows = [1])
+
+########################################
+# Example searches, using headers
+# Header definition found in Documentation: https://www.ncdc.noaa.gov/ibtracs/pdf/IBTrACS_v04_column_documentation.pdf
+
+# Get 2020 Data
+print("\n####################\nGet 2020 Data")
+ibtracs_2020 = ibtracs_all[ibtracs_all['SEASON'] == '2020'] 
+print(ibtracs_2020)
+
+# Get All Hurricanes Names Alpha
+print("\n####################\nGet All Hurricanes Names Alpha")
+ibtracs_alpha = ibtracs_all[ibtracs_all['NAME'] == 'ALPHA'] 
+print(ibtracs_alpha)
+
+# Get Times Wind Speed > 137 kts (Category 5)
+# Need to clean up wind speed first
+print("\n####################\nGet Times Wind Speed > 137 kts (Category 5)")
+ibtracs_all['USA_WIND']= ibtracs_all['USA_WIND'].replace(' ','-9999').astype('int64')
+ibtracs_cat5 = ibtracs_all[ibtracs_all['USA_WIND'] >= 137] 
+print(ibtracs_cat5)
+
+# Get the names of cat 5 storms
+print("\n####################\nGet the names of cat 5 storms")
+print(ibtracs_cat5['NAME'].unique())
+
+# Get Data From Hurricane Bob in 1991
+print("\n####################\nGet Data From Hurricane Bob in 1991")
+ibtracs_bob = ibtracs_all[(ibtracs_all['NAME'] == 'BOB') & (ibtracs_all['SEASON']=='1991')]
+print(ibtracs_bob)
+
+# Only Grab Lat/Lon and Wind Speed From Bob (1991)
+print("\n####################\nOnly Grab Lat/Lon and Wind Speed From Bob (1991)")
+ibtracts_bob_subset=pd.DataFrame([ibtracs_bob.LAT, ibtracs_bob.LON, ibtracs_bob.USA_WIND]).transpose()
+print(ibtracts_bob_subset)
+
+# Ouput results to csv
+print("\n####################\nOuput results to csv")
+outfile='bob_wind.csv'
+ibtracts_bob_subset.to_csv(outfile,index=False)
+
+########################################
+# Done, End Program
+print("\nDONE! results in: "+outfile)
\ No newline at end of file