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--- atmos:citation:research:iccp-cloudprobe2024 [2024/07/31 18:01] – klinman
+++ atmos:citation:research:iccp-cloudprobe2024 [2024/07/31 20:50] (current) – klinman
@@ Line 1: / Line 1: @@
 ===== ICCP 2024 Cloud Probe Workshop =====
-[[.:research:ICCP-CloudProbe2024_Instructions|Instrumection for ICCP Cloud Probe Processing Workshop - 2024]]
+[[.:research:ICCP-CloudProbe2024_Instructions|Instructions for ICCP Cloud Probe Processing Workshop - 2024]]
-[[.:research:ICCP-CloudProbe2024_Readme|Readme information about probe types to use]]
-===== Probe Processing Notes =====
-  - Synthetic data is in the directory /home/Radar_Data/T28_Data/ICCP_Cloud_Workshop (Aircraft/Calgary/Littlestorm)
-  - Downloaded the Input/Simulation data
-    * Stored under Jeju_Cloud_Probe_Workshop_Simulations.
-  - Comparison between ADPAA scripted output and SODA GNU generated files.
-    * Run - python3 /home/Radar_Data/T28_Data/ICCP_Cloud_Workshop/SODA_ADPAA_File_Comparison.py
-    * When not 100 % match on rejectionflag is because of bins size difference.
-| Probe        | ADPAA-SODA probe_type (Calling Initialized Structure) |
-| SPEC 2D-S    | 2ds                                                   |
-| Spec HVPS-3  | hvps                                                  |
-| DMT PIP      | pip                                                   |
-| DMT CAPS-CIP | cipgs15                                               |
-  * Do two methods
-    * Use ADPAA method="fastcircle"
-    * Use method="waterprocessing"
-==== PROCESSING INSTRUCTIONS COMMENTS (Number Same as Instructions ====
-  - Extract information from the header. Generate a PbP file that contains the image time from header for each particle, count in buffer, W, L, A, D, P, end diode shadow flag.
-    - HVPS3
-      - ~/CoPAS/ADPAA/src/linkage_soda/initialize_structure/initialize_structure --verbose method='xsize' processingtype='allin' probetype='hvps' ../../Jeju_Cloud_Probe_Workshop_Simulations/base100101000000.HVPS_columns_v01 000000 000100 20100101 100
-    - PIP
-      - ~/CoPAS/ADPAA/src/linkage_soda/initialize_structure/initialize_structure --verbose method='xsize' processingtype='allin' probetype='pip' ../../Jeju_Cloud_Probe_Workshop_Simulations/base100101000000.PIP_columns_v01 000000 000100 20100101 100
-    - Run python3 Extraxt_Header_Information.py
-    - Creates Output_Files/Steps/20100101_HVPS3_columns_step1.pbp.nc
-    - View/Plot with ncview 20100101_HVPS3_columns_step1.pbp.nc
-    - ncplot and ncdump should also work.
-  - Determine counts recorded by probe as function of time before any corrections for particle size are made or before the sample volume is computed.
-    - run python3 Counts_per_second.py
-    - Creates files Steps/20100101_HVPS3_columns_step2.pbp.nc
-    - Need to add plotting to programming and add resulting plots here.
-===== ICCP 2024 Cloud Probe Workshop =====
-[[.:research:ICCP-CloudProbe2024_Instructions|Instructiond for ICCP Cloud Probe Processing Workshop - 2024]]
 [[.:research:ICCP-CloudProbe2024_Readme|Readme information about probe types to use]]
@@ Line 76: / Line 34: @@
 ===== Processing Instructions =====
+All steps currently operational can be run by executing "File_Runner.py". Some instructions on setting up "File_Runner.py" are inside the code as comments.
   - Extract information from the header. Generate a PbP file that contains the image time from header for each particle, count in buffer, W, L, A, D, P, end diode shadow flag.
-    - Run python3 Extraxt_Header_Information.py
+    - Program: Extract_Header_Information.py
-    - Creates Output_Files/Steps/20100101_HVPS3_columns_step1.pbp.nc
+        - To run on individual file: python3 Extract_Header_Information.py filename
-    - View/Plot with ncview 20100101_HVPS3_columns_step1.pbp.nc
+        - Generated file looks like: Output_Files/Step1/20100101_HVPS3_columns_notwater_step1.pbp.nc
+    - View/plot with, ncview filename
     - ncplot and ncdump should also work.
   - Determine counts recorded by probe as function of time before any corrections for particle size are made or before the sample volume is computed.
-    - run python3 Counts_per_second.py
+    - Program: Counts_per_second.py
-    - Creates files Steps/20100101_HVPS3_columns_step2.pbp.nc
+        - To run on individual file: python3 Counts_per_second.py filename
-    - Need to add plotting to programming and add resulting plots here.
+        - Generated file looks like: Output_Files/Step2/20100101_HVPS3_columns_notwater_step2.pbp.nc
+    - View/plot with, ncview filename
+    - ncplot and ncdump should also work.
+  - Determine counts recorded by probe as a function of time after corrections for particle size based on out of focus particles are made (Assume we need to use “water-processing flag in SODA)
+    - Program: Counts_per_second.py
+        - To run on individual file: python3 Counts_per_second.py filename
+        - Generated file looks like: Output_Files/Step3/20100101_HVPS3_columns_notwater_step3.pbp.nc
+    - View/plot with, ncview filename
+    - ncplot and ncdump should also work.
+  - Number distribution functions before corrections for particle size (we will use counts per bin per second so that assumptions about the sample volume dependence on maximum dimension don't affect the results).
+    - Program: Number_Distribution.py
+        - To run on individual file: python3 Number_Distribution.py filename
+        - Generated file looks like: Output_Files/Step4/20100101_HVPS3_columns_notwater_step4.pbp.nc
+    - View/plot with, ncview filename
+    - ncplot and ncdump should also work.
+    - Work is in progress to make matplotlib plots of the distributions for each second.