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index 074bcf75dbbcc52990cd3c1794cf3e7212377ca1..2cc8faedb7810a92e2e471e93f63c0085f9ef84b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,7 +1,10 @@
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*.exe
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new file mode 100644
index 0000000000000000000000000000000000000000..ba44caea8b9562cf3d19da9dfcadf43860992ae5
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new file mode 100644
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new file mode 100644
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new file mode 100644
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+}
\ No newline at end of file
diff --git a/utilities/forecastAnalysis/storical/.output/coordinate.txt b/utilities/forecastAnalysis/storical/.output/coordinate.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2eebfd47d45acc9c2b5e820dd46aa0a09e83e883
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/.output/coordinate.txt
@@ -0,0 +1,21 @@
+{
+ "latitude": 41.792618, (41.8084579)
+ "longitude": 14.086956, (14.0546408)
+ "generationtime_ms": 0.0710487365722656,
+ "utc_offset_seconds": 7200,
+ "timezone": "Europe/Rome",
+ "timezone_abbreviation": "CEST",
+ "elevation": 1411,
+ "hourly_units": {
+ "time": "unixtime",
+ "wind_speed_10m": "m/s",
+ "wind_direction_10m": "°",
+ "wind_gusts_10m": "m/s"
+ },
+ "hourly": {
+ "time": [1505167200, 1505170800, 1505174400, 1505178000, 1505181600, 1505185200, 1505188800, 1505192400, 1505196000, 1505199600, 1505203200, 1505206800, 1505210400, 1505214000, 1505217600, 1505221200, 1505224800, 1505228400, 1505232000, 1505235600, 1505239200, 1505242800, 1505246400, 1505250000, 1505253600, 1505257200, 1505260800, 1505264400, 1505268000, 1505271600, 1505275200, 1505278800, 1505282400, 1505286000, 1505289600, 1505293200, 1505296800, 1505300400, 1505304000, 1505307600, 1505311200, 1505314800, 1505318400, 1505322000, 1505325600, 1505329200, 1505332800, 1505336400, 1505340000, 1505343600, 1505347200, 1505350800, 1505354400, 1505358000, 1505361600, 1505365200, 1505368800, 1505372400, 1505376000, 1505379600, 1505383200, 1505386800, 1505390400, 1505394000, 1505397600, 1505401200, 1505404800, 1505408400, 1505412000, 1505415600, 1505419200, 1505422800, 1505426400, 1505430000, 1505433600, 1505437200, 1505440800, 1505444400, 1505448000, 1505451600, 1505455200, 1505458800, 1505462400, 1505466000, 1505469600, 1505473200, 1505476800, 1505480400, 1505484000, 1505487600, 1505491200, 1505494800, 1505498400, 1505502000, 1505505600, 1505509200, 1505512800, 1505516400, 1505520000, 1505523600, 1505527200, 1505530800, 1505534400, 1505538000, 1505541600, 1505545200, 1505548800, 1505552400, 1505556000, 1505559600, 1505563200, 1505566800, 1505570400, 1505574000, 1505577600, 1505581200, 1505584800, 1505588400, 1505592000, 1505595600],
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+ "wind_gusts_10m": [10.8, 11.1, 11, 11.1, 10.7, 11, 10.9, 9.9, 9.5, 9.8, 12.1, 13.6, 14.7, 14.5, 15.3, 14.2, 13.8, 14.8, 14.6, 13.7, 11.8, 11.7, 11.4, 9.9, 10, 9.7, 8.9, 8.4, 8, 8, 7, 5.5, 4.9, 4.6, 4.1, 4.9, 5.7, 6.6, 6.5, 8.3, 10.5, 10.6, 8.5, 7.3, 5.7, 5.5, 4.9, 4.8, 4.9, 4.9, 4.9, 5.2, 5, 5.1, 5.1, 5.1, 5, 5, 5.1, 6.4, 6.6, 6.6, 7, 7.8, 8.3, 8.8, 9.1, 8.9, 8.3, 8.3, 8.5, 8.8, 8.5, 8.2, 8.2, 8, 6.5, 5.7, 4.7, 4.1, 4.3, 4.4, 4.1, 6.7, 8.1, 8.5, 10.2, 10.3, 10.3, 10, 8.8, 7.6, 7.6, 7.7, 7.9, 8.2, 9, 9.8, 10.6, 11.4, 11.4, 11.8, 12.7, 12.9, 13.9, 14.3, 15.1, 15.6, 17.2, 17.9, 17.8, 17.5, 17.8, 15.4, 15.5, 15.7, 13.3, 13.2, 14.6, 14.7]
+ }
+}
\ No newline at end of file
diff --git a/utilities/forecastAnalysis/storical/data/euroc/2017.csv b/utilities/forecastAnalysis/storical/data/euroc/2017.csv
new file mode 100644
index 0000000000000000000000000000000000000000..01b3cb7759b03cd74410ed756d148e0feda73e32
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/euroc/2017.csv
@@ -0,0 +1,172 @@
+latitude,longitude,elevation,utc_offset_seconds,timezone,timezone_abbreviation
+39.40246,-8.328735,160.0,3600,Europe/Lisbon,WEST
+
+time,temperature_2m (°C),wind_speed_10m (m/s),wind_direction_10m (°),wind_gusts_10m (m/s)
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diff --git a/utilities/forecastAnalysis/storical/data/euroc/2018.csv b/utilities/forecastAnalysis/storical/data/euroc/2018.csv
new file mode 100644
index 0000000000000000000000000000000000000000..3209aadb4ea3f8a3d2827dc1dbefef5ab0db941c
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/euroc/2018.csv
@@ -0,0 +1,172 @@
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diff --git a/utilities/forecastAnalysis/storical/data/euroc/2019.csv b/utilities/forecastAnalysis/storical/data/euroc/2019.csv
new file mode 100644
index 0000000000000000000000000000000000000000..bf372f3be6c13389b809a78867bee6ee95bce333
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/euroc/2019.csv
@@ -0,0 +1,172 @@
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diff --git a/utilities/forecastAnalysis/storical/data/euroc/2020.csv b/utilities/forecastAnalysis/storical/data/euroc/2020.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5780f28c59e5df70cccdb176a50a7d9b7e25b5fc
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/euroc/2020.csv
@@ -0,0 +1,172 @@
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diff --git a/utilities/forecastAnalysis/storical/data/euroc/2021.csv b/utilities/forecastAnalysis/storical/data/euroc/2021.csv
new file mode 100644
index 0000000000000000000000000000000000000000..42fdef23ee7641143b943710d1acb09afea46c77
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/euroc/2021.csv
@@ -0,0 +1,172 @@
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diff --git a/utilities/forecastAnalysis/storical/data/euroc/2022.csv b/utilities/forecastAnalysis/storical/data/euroc/2022.csv
new file mode 100644
index 0000000000000000000000000000000000000000..9abcf45fc80d5aeb2ea0cf3b1f073d7d759f1efc
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/euroc/2022.csv
@@ -0,0 +1,172 @@
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diff --git a/utilities/forecastAnalysis/storical/data/euroc/2023.csv b/utilities/forecastAnalysis/storical/data/euroc/2023.csv
new file mode 100644
index 0000000000000000000000000000000000000000..47408cdd9138511759f409647544e35121181f22
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/euroc/2023.csv
@@ -0,0 +1,172 @@
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diff --git a/utilities/forecastAnalysis/storical/data/euroc/2024.csv b/utilities/forecastAnalysis/storical/data/euroc/2024.csv
new file mode 100644
index 0000000000000000000000000000000000000000..4d16890381854b4021bdba567caf143748dd43bc
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/euroc/2024.csv
@@ -0,0 +1,172 @@
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diff --git a/utilities/forecastAnalysis/storical/data/roccaraso/2017.csv b/utilities/forecastAnalysis/storical/data/roccaraso/2017.csv
new file mode 100644
index 0000000000000000000000000000000000000000..9fe04b4975997946b2e86c215ccde77dfd945a46
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/roccaraso/2017.csv
@@ -0,0 +1,124 @@
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diff --git a/utilities/forecastAnalysis/storical/data/roccaraso/2018.csv b/utilities/forecastAnalysis/storical/data/roccaraso/2018.csv
new file mode 100644
index 0000000000000000000000000000000000000000..6cbc37268de7670deb5f0a7ff2141675e65e5be1
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/roccaraso/2018.csv
@@ -0,0 +1,124 @@
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diff --git a/utilities/forecastAnalysis/storical/data/roccaraso/2019.csv b/utilities/forecastAnalysis/storical/data/roccaraso/2019.csv
new file mode 100644
index 0000000000000000000000000000000000000000..81e3ca555f2be5c4d03e25399ced2bed75cefce3
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/roccaraso/2019.csv
@@ -0,0 +1,124 @@
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diff --git a/utilities/forecastAnalysis/storical/data/roccaraso/2020.csv b/utilities/forecastAnalysis/storical/data/roccaraso/2020.csv
new file mode 100644
index 0000000000000000000000000000000000000000..1afdf7ef023ac9b8e813ffd188409eb6ea6cb3c5
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/roccaraso/2020.csv
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diff --git a/utilities/forecastAnalysis/storical/data/roccaraso/2021.csv b/utilities/forecastAnalysis/storical/data/roccaraso/2021.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c76d4d1e626d4bb89f3e6d5f2357c28c627a35a6
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/roccaraso/2021.csv
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diff --git a/utilities/forecastAnalysis/storical/data/roccaraso/2022.csv b/utilities/forecastAnalysis/storical/data/roccaraso/2022.csv
new file mode 100644
index 0000000000000000000000000000000000000000..840593e4d1e6418e52a20c57627efa97982e0ae5
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/roccaraso/2022.csv
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diff --git a/utilities/forecastAnalysis/storical/data/roccaraso/2023.csv b/utilities/forecastAnalysis/storical/data/roccaraso/2023.csv
new file mode 100644
index 0000000000000000000000000000000000000000..6eb56a96c36e35cc29830c1455107ab224b14c6e
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/roccaraso/2023.csv
@@ -0,0 +1,124 @@
+latitude,longitude,elevation,utc_offset_seconds,timezone,timezone_abbreviation
+41.792618,14.086956,1411.0,7200,Europe/Rome,CEST
+
+time,wind_speed_10m (m/s),wind_direction_10m (°),wind_gusts_10m (m/s)
+1694469600,0.95,288,3.40
+1694473200,0.95,288,3.80
+1694476800,0.95,288,4.40
+1694480400,0.98,294,4.10
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diff --git a/utilities/forecastAnalysis/storical/data/roccaraso/2024.csv b/utilities/forecastAnalysis/storical/data/roccaraso/2024.csv
new file mode 100644
index 0000000000000000000000000000000000000000..706d0852eb4c1f8c2436da025c52076b44127d55
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/data/roccaraso/2024.csv
@@ -0,0 +1,124 @@
+latitude,longitude,elevation,utc_offset_seconds,timezone,timezone_abbreviation
+41.792618,14.086956,1411.0,7200,Europe/Rome,GMT+2
+
+time,wind_speed_10m (m/s),wind_direction_10m (°),wind_gusts_10m (m/s)
+1726092000,1.30,270,5.90
+1726095600,1.30,274,6.10
+1726099200,1.50,274,6.60
+1726102800,1.41,278,7.00
+1726106400,1.70,273,7.70
+1726110000,1.81,276,8.10
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+1726117200,1.60,270,8.40
+1726120800,1.97,246,8.80
+1726124400,2.41,228,10.00
+1726128000,3.32,224,11.40
+1726131600,4.24,227,13.10
+1726135200,4.74,226,13.60
+1726138800,3.98,219,14.00
+1726142400,3.55,212,12.70
+1726146000,3.81,203,12.20
+1726149600,3.14,202,12.60
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diff --git a/utilities/forecastAnalysis/storical/get_data.py b/utilities/forecastAnalysis/storical/get_data.py
new file mode 100644
index 0000000000000000000000000000000000000000..01c45e24c9c4831ecfa827f5eb764e1e1c817d9d
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/get_data.py
@@ -0,0 +1,195 @@
+## --------------- import libraries ---------------
+import openmeteo_requests
+
+import requests_cache
+import pathlib
+import pandas as pd
+import os
+import json
+
+from datetime import datetime
+from retry_requests import retry
+
+## --------------- general settings ---------------
+
+mission = "euroc"
+selected_year = 2024
+default_data_extension = ".csv"
+
+if mission == "roccaraso":
+ latitude = 41.8084579
+ longitude = 14.0546408
+ month_name = "September"
+ day_start = str(12).zfill(2)
+ day_end = str(16).zfill(2)
+elif mission == "euroc":
+ latitude = 39.388727
+ longitude = -8.287842
+ month_name = "October"
+ day_start = str(9).zfill(2)
+ day_end = str(15).zfill(2)
+
+year = str(selected_year)
+
+month = str(datetime.strptime(month_name, "%B").month).zfill(2)
+
+start_date = year + "-" + month + "-" + day_start
+end_date = year + "-" + month + "-" + day_end
+
+print(start_date)
+print(end_date)
+
+## --------------- CREATE PARAMS ---------------
+params = {
+ "latitude": latitude,
+ "longitude": longitude,
+ "start_date": start_date,
+ "end_date": end_date,
+ "hourly": ["wind_speed_10m", "wind_direction_10m", "wind_gusts_10m"],
+ "models": "ecmwf_ifs",
+ "timezone": "auto",
+ "wind_speed_unit": "ms",
+ "timeformat": "unixtime"
+}
+
+## --------------- path generation ---------------
+
+path = pathlib.Path(__file__).parent.resolve()
+fullpath = str(path) + "\\" + mission + "\data\\"
+print(fullpath)
+name_csv_file = year + default_data_extension
+full_file_path = fullpath + name_csv_file
+print(full_file_path)
+
+## --------------- copied code snippet from OPENMETEO ---------------
+
+# Create a path for cache
+cache_folder = ".cache"
+path_to_cache_dir = os.path.join(path, cache_folder)
+path_to_cache_file = os.path.join(path_to_cache_dir, "cache.sqlite")
+
+# Create cache directory if it doesn't exist
+if not os.path.exists(path_to_cache_dir):
+ os.makedirs(path_to_cache_dir)
+ print("The new directory is created!")
+
+print(path_to_cache_dir)
+
+# Setup the Open-Meteo API client with cache and retry on error
+cache_session = requests_cache.CachedSession(path_to_cache_file, expire_after = -1)
+retry_session = retry(cache_session, retries = 5, backoff_factor = 0.2)
+openmeteo = openmeteo_requests.Client(session = retry_session)
+
+# Make sure all required weather variables are listed here
+# The order of variables in hourly or daily is important to assign them correctly below
+url = "https://archive-api.open-meteo.com/v1/archive"
+responses = openmeteo.weather_api(url, params=params)
+
+## --------------- PRINTS ---------------
+# Process first location. Add a for-loop for multiple locations or weather models
+response = responses[0]
+print(f"Coordinates {response.Latitude()}°N {response.Longitude()}°E")
+print(f"Elevation {response.Elevation()} m asl")
+print(f"Timezone {response.Timezone()}{response.TimezoneAbbreviation()}")
+print(f"Timezone difference to GMT+0 {response.UtcOffsetSeconds()} s")
+
+# Process hourly data. The order of variables needs to be the same as requested.
+hourly = response.Hourly()
+hourly_wind_speed_10m = hourly.Variables(0).ValuesAsNumpy()
+hourly_wind_direction_10m = hourly.Variables(1).ValuesAsNumpy()
+hourly_wind_gusts_10m = hourly.Variables(2).ValuesAsNumpy()
+
+hourly_data = {"date": pd.date_range(
+ start = pd.to_datetime(hourly.Time(), unit = "s", utc = True),
+ end = pd.to_datetime(hourly.TimeEnd(), unit = "s", utc = True),
+ freq = pd.Timedelta(seconds = hourly.Interval()),
+ inclusive = "left"
+)}
+
+hourly_data["wind_speed_10m"] = hourly_wind_speed_10m
+hourly_data["wind_direction_10m"] = hourly_wind_direction_10m
+hourly_data["wind_gusts_10m"] = hourly_wind_gusts_10m
+
+hourly_dataframe = pd.DataFrame(data = hourly_data)
+print(hourly_dataframe)
+
+## --------------- SAVE TO JSON FILE to backup ---------------
+# Helper function to decode bytes if needed
+def decode_if_bytes(value):
+ return value.decode("utf-8") if isinstance(value, bytes) else value
+
+# Extract the data into a serializable dict
+json_data = {
+ "latitude": response.Latitude(),
+ "longitude": response.Longitude(),
+ "elevation": response.Elevation(),
+ "utc_offset_seconds": response.UtcOffsetSeconds(),
+ "timezone": decode_if_bytes(response.Timezone()),
+ "timezone_abbreviation": decode_if_bytes(response.TimezoneAbbreviation()),
+ "hourly_units": {
+ "time": "unixtime",
+ "wind_speed_10m": "m/s",
+ "wind_direction_10m": "°",
+ "wind_gusts_10m": "m/s"
+ },
+ "hourly": {
+ "start_time": decode_if_bytes(hourly.Time()),
+ "end_time": decode_if_bytes(hourly.TimeEnd()),
+ "interval": hourly.Interval(),
+ "wind_speed_10m": hourly_wind_speed_10m.tolist(),
+ "wind_direction_10m": hourly_wind_direction_10m.tolist(),
+ "wind_gusts_10m": hourly_wind_gusts_10m.tolist()
+ }
+}
+
+
+# Save to JSON file
+# Create a path for output
+output_folder = ".output"
+path_to_output = os.path.join(path, output_folder)
+
+# Create cache directory if it doesn't exist
+if not os.path.exists(path_to_output):
+ os.makedirs(path_to_output)
+ print("The new directory is created!")
+
+print(path_to_output)
+
+json_output_path = os.path.join(path_to_output, f"{selected_year}_backup.json")
+with open(json_output_path, "w") as json_file:
+ json.dump(json_data, json_file, indent=4)
+
+print(f"Saved response backup to {json_output_path}")
+
+## --------------- SAVE TO CSV FILE ---------------
+# Save metadata row
+metadata_row = pd.DataFrame([{
+ "latitude": round(response.Latitude(), 6),
+ "longitude": round(response.Longitude(), 6),
+ "elevation": round(response.Elevation(), 1),
+ "utc_offset_seconds": response.UtcOffsetSeconds(),
+ "timezone": decode_if_bytes(response.Timezone()),
+ "timezone_abbreviation": decode_if_bytes(response.TimezoneAbbreviation())
+}])
+
+# Define clean column names with proper Unicode encoding
+column_names = {
+ "time": "time",
+ "wind_speed_10m": "wind_speed_10m (m/s)",
+ "wind_direction_10m": "wind_direction_10m (\u00B0)",
+ "wind_gusts_10m": "wind_gusts_10m (m/s)"
+}
+
+# Prepare and format data
+hourly_dataframe_unix = pd.DataFrame({
+ column_names["time"]: hourly_dataframe["date"].astype("int64") // 10**9,
+ column_names["wind_speed_10m"]: hourly_dataframe["wind_speed_10m"].round(2).map(lambda x: f"{x:.2f}"),
+ column_names["wind_direction_10m"]: hourly_dataframe["wind_direction_10m"].round().astype(int),
+ column_names["wind_gusts_10m"]: hourly_dataframe["wind_gusts_10m"].round(2).map(lambda x: f"{x:.2f}")
+})
+
+# Save CSV with proper UTF-8 encoding
+with open(full_file_path, "w", encoding="utf-8", newline="") as f:
+ metadata_row.to_csv(f, index=False)
+ f.write("\n")
+ hourly_dataframe_unix.to_csv(f, index=False)
diff --git a/utilities/forecastAnalysis/storical/mainStoricalAnalysis.m b/utilities/forecastAnalysis/storical/mainStoricalAnalysis.m
new file mode 100644
index 0000000000000000000000000000000000000000..6c278b84bfb1035ac3ec5a91c53467ea230b29a4
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/mainStoricalAnalysis.m
@@ -0,0 +1,72 @@
+function mainStoricalAnalysis()
+% mainStoricalAnalysis - Main script to analyse wind history in launch
+% places
+%
+% Copyright © 2025, Skyward Experimental Rocketry, AFD department
+% All rights reserved
+
+%% path
+currentFolder = fileparts(mfilename('fullpath'));
+addpath(genpath(fullfile(currentFolder, 'data')));
+addpath(genpath(fullfile(currentFolder, 'src')));
+
+%% initialization
+storicalAnalysisConfig
+yearStrings = settings.yearBegin:1:settings.yearEnd;
+yearSamples = length(yearStrings);
+yearsLegendLabels = string(settings.yearBegin:settings.yearEnd);
+geo = switchLocation(settings.location);
+
+
+%% read storic data Roccaraso
+[data, dataSamples, time] = read(yearSamples, settings.startIterator, settings.location);
+
+%% Processing
+elaboration = processData(data, dataSamples, yearSamples, settings.startIterator);
+
+%% geoplot launch site and weather station
+if settings.flag.ifGeoplots
+geoplots(geo, settings.location);
+end
+
+%% Nominal, critical and subcritical values
+if settings.flag.ifBarChart
+
+%%% wind speed
+barChartVelocity(data, time, "wind_speed_10m (m/s)", yearStrings, yearSamples, ...
+ settings.startIterator, settings.windModel, elaboration.speed, "wind speed");
+
+%%% wind gusts
+barChartVelocity(data, time, "wind_gusts_10m (m/s)", yearStrings, yearSamples, ...
+ settings.startIterator, settings.windModel, elaboration.gusts, "wind gusts");
+
+%%% wind direction - 4 main directions
+barChartDirection(data, time, "wind_direction_10m (°)", yearStrings, yearSamples, ...
+ settings.startIterator, settings.windModel, "wind direction");
+end
+
+%% Compass graph
+if settings.flag.ifCompass
+compass(data, yearsLegendLabels, yearSamples, settings.startIterator, settings.windModel);
+end
+
+%% Plots
+if settings.flag.ifPlots
+generalPlots(elaboration, data, time, yearSamples, settings.startIterator, ...
+ yearsLegendLabels, settings.windModel, settings.location)
+end
+
+%% Gaussian curve
+% true gaussian curve based on mean data and flight window
+if settings.flag.ifGaussianDistribution
+[gauss, elaboration] = gaussianDistribution(elaboration, data, time, settings.startIterator, ...
+ yearSamples, settings.yearBegin, settings.yearEnd);
+end
+
+%% printing results
+if settings.flag.ifPrints
+ clc
+ print(gauss, geo, elaboration, yearStrings, settings.location)
+end
+end
+
diff --git a/utilities/forecastAnalysis/storical/src/barChartDirection.m b/utilities/forecastAnalysis/storical/src/barChartDirection.m
new file mode 100644
index 0000000000000000000000000000000000000000..1b30f9f12890639513f78fa5fb20a0d7ce9259ce
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/src/barChartDirection.m
@@ -0,0 +1,45 @@
+function barChartDirection(data, time, fieldString, yearStrings, ...
+ yearSamples, startIterator, windModel, what_)
+% barChartDirection - function that plots the bar chart for wind direction
+%
+% INPUTS:
+% data, struct: struct containing all data
+% time, time: time period during which the measurement was taken
+% fieldString, string: a string used on the plots containing wind
+% speed
+% yearStrings, double : array containing the years
+% yearSamples, double : number of years considerated
+% startIterator, double: year before the first we are interested in
+% windModel, char : the wind model
+% what_, string : what the function is evaluating
+
+y = [];
+for k = 1:yearSamples
+ northEast = []; eastSouth = []; southWest = []; westNorth = [];
+ year = num2str(startIterator+k);
+ structName = ['data',year];
+ for i = 1:length(time)
+ if (data.(structName).(fieldString)(i) >= 0 && data.(structName).(fieldString)(i) < 90) % north-east
+ northEast = [northEast data.(structName).(fieldString)(i)];
+ elseif (data.(structName).(fieldString)(i) >= 90 && data.(structName).(fieldString)(i) < 180) % east-south
+ eastSouth = [eastSouth data.(structName).(fieldString)(i)];
+ elseif (data.(structName).(fieldString)(i) >= 180 && data.(structName).(fieldString)(i) < 270) % south-west
+ southWest = [southWest data.(structName).(fieldString)(i)];
+ else
+ westNorth = [westNorth data.(structName).(fieldString)(i)];
+ end
+ end
+ y = [y; length(northEast) length(eastSouth) ...
+ length(southWest) length(westNorth)];
+end
+
+figure();
+bar(yearStrings,y); hold on
+legend('North-East','East-South','South-West','West-North')
+ylabel('Samples')
+xlabel('Years')
+grid('minor')
+title(sprintf('Bar chart distribution of %s over the years', what_));
+subtitle(windModel)
+end
+
diff --git a/utilities/forecastAnalysis/storical/src/barChartVelocity.m b/utilities/forecastAnalysis/storical/src/barChartVelocity.m
new file mode 100644
index 0000000000000000000000000000000000000000..8b846ebd4282e553df509c46a58f8a1e526b4dd3
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/src/barChartVelocity.m
@@ -0,0 +1,48 @@
+function barChartVelocity(data, time, fieldString, yearStrings, ...
+ yearSamples, startIterator, windModel, self_, what_)
+% barChartVelocity - function that plots the bar chart for wind velocity
+%
+% INPUTS:
+% data, struct: struct containing all data
+% time, time: time period during which the measurement was taken
+% fieldString, string: a string used on the plots containing wind
+% speed
+% yearStrings, double : array containing the years
+% yearSamples, double : number of years considerated
+% startIterator, double: year before the first we are interested in
+% windModel, char : the wind model
+% self_, struct : struct containing wind information
+% what_, string : what the function is evaluating
+y = [];
+for k = 1:yearSamples
+ criticalValues = [];
+ nominalValues = [];
+ subcriticalValues = [];
+ year = num2str(startIterator+k);
+ structName = ['data',year];
+ for i = 1:length(time)
+ if (data.(structName).(fieldString)(i) > self_.maxval)
+ criticalValues = [criticalValues data.(structName).(fieldString)(i)];
+ elseif (data.(structName).(fieldString)(i) < self_.minval)
+ subcriticalValues = [subcriticalValues data.(structName).(fieldString)(i)];
+ else
+ nominalValues = [nominalValues data.(structName).(fieldString)(i)];
+ end
+ end
+ y = [y; length(subcriticalValues) length(nominalValues) ...
+ length(criticalValues)];
+end
+
+
+figure();
+bar(yearStrings,y); hold on
+legend(['x < ',num2str(self_.minval),' m/s'], ...
+ [num2str(self_.minval),' m/s < x < ',num2str(self_.maxval),' m/s'], ...
+ ['x > ',num2str(self_.maxval),' m/s'])
+ylabel('samples')
+xlabel('years')
+grid('minor')
+title(sprintf('Bar chart distribution of %s over the years', what_));
+subtitle(windModel)
+end
+
diff --git a/utilities/forecastAnalysis/storical/src/compass.m b/utilities/forecastAnalysis/storical/src/compass.m
new file mode 100644
index 0000000000000000000000000000000000000000..d0a66bd609dfccd7e1b4bde734d1c2d1fd9bdc92
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/src/compass.m
@@ -0,0 +1,27 @@
+function compass(data, yearsLegendLabels, yearSamples, startIterator, windModel)
+% compass - function that plots the wind rose
+%
+% INPUTS:
+% data, struct: struct containing all data
+% time, time: time period during which the measurement was taken
+% fieldString, string: a string used on the plots containing wind
+% speed
+% yearLegendLabels, string array : string array containing years for the plots
+% yearSamples, double : number of years considerated
+% startIterator, double: year before the first we are interested in
+% windModel, char : the wind model
+figure;
+for k = 1:yearSamples
+ year = num2str(startIterator+k);
+ structName = ['data',year];
+ polarhistogram(data.(structName).("wind_direction_10m (°)"),'BinMethod','sqrt'); hold on
+end
+pax = gca;
+pax.ThetaTick = 0:45:360;
+labels = {'E','NE','N','NW','W','SW','S','SE'};
+pax.ThetaTickLabel = labels;
+legend(yearsLegendLabels)
+title('Polar distribution of wind direction over the years')
+subtitle(windModel)
+end
+
diff --git a/utilities/forecastAnalysis/storical/src/flightWindow.m b/utilities/forecastAnalysis/storical/src/flightWindow.m
new file mode 100644
index 0000000000000000000000000000000000000000..12b7d1be3354556ab152b557a4f74573d7f24d94
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/src/flightWindow.m
@@ -0,0 +1,37 @@
+function flightWindow(time, location)
+% flightWindow - function that select the flight window in order to show it
+% on the plots
+%
+% INPUTS:
+% time, time: time period during which the measurement was taken
+% location, char: location of the launch
+switch location
+ case 'roccaraso'
+ k = 14; % shifting hours according to samples
+ % e.g.: first data of timestamp is at 22:00
+ % flight window at 12:00 -> +14 h
+ fw = 6;
+ % flight window in hours
+ % e.g: from 12:00 to 18:00 -> 6 h
+ for i = 1:(length(time))-fw
+ if (i+fw)+k <= 120
+ xregion([time(i+k),time((i+fw)+k)]); hold off;
+ k = k + 23; % day shifting. one window per day
+ end
+ end
+
+ case 'euroc'
+ k = 10; % shifting hours according to samples
+ % e.g.: first data of timestamp is at 23:00
+ % flight window at 9:00 -> +10 h
+ fw = 8;
+ % flight window in hours
+ % e.g: from 9:00 to 17:00 -> 8 h
+ for i = 1:(length(time))-fw
+ if (i+fw)+k <= 180
+ xregion([time(i+k),time((i+fw)+k)]); hold off;
+ k = k + 23; % day shifting. one window per day
+ end
+ end
+end
+end
\ No newline at end of file
diff --git a/utilities/forecastAnalysis/storical/src/gaussianDistribution.m b/utilities/forecastAnalysis/storical/src/gaussianDistribution.m
new file mode 100644
index 0000000000000000000000000000000000000000..27f2317b5a2b66d068ea8db9ff205c52eca26346
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/src/gaussianDistribution.m
@@ -0,0 +1,133 @@
+function [g, elaboration] = gaussianDistribution(elaboration, data, time, startIterator, ...
+ yearSamples, yearBegin, yearEnd)
+% gaussianDistribution - function that computes and plots the gaussian
+% distribution of the wind of past years
+%
+% INPUTS:
+% elaboration, struct : struct containing wind information
+% data, struct: struct containing all data
+% time, time: time period during which the measurement was taken
+% startIterator, double: year before the first we are interested in
+% yearSamples, double : number of years considerated
+% yearBegin, double : first year
+% yearEnd, double : last year
+%
+% OUTPUTS:
+% g, struct: struct containing the gaussian curve data
+% elaboration, struct : struct containing wind information related to
+% the gaussian curve
+
+%%% wind speed
+%%%%% gaussian curve of the global mean speed
+[muMean,sMean,~,~] = normfit(elaboration.speed.mean);
+xQueryMean = linspace(0,2*muMean,1000);
+gxMean = (1 / (sMean * sqrt(2*pi))) * exp(-((xQueryMean - muMean).^2) / (2 * sMean^2));
+
+%%%%% gaussian curve of the speed in time window
+fw = 6;
+overallDataTimeWindow = [];
+for j = 1:yearSamples
+ year = num2str(startIterator+j);
+ structName = ['data',year];
+ k = 14;
+ for i = 1:(length(time))-fw
+ if (i+fw)+k <= 120
+ overallDataTimeWindow = [overallDataTimeWindow data.(structName).("wind_speed_10m (m/s)")((i+k):(i+fw+k))];
+ k = k + 23; % day shifting. one window per day
+ end
+ end
+end
+xTimeWindow = sort(reshape(overallDataTimeWindow,1,[]));
+[muTimeWindow,sTimeWindow,~,~] = normfit(xTimeWindow);
+xQueryTimeWindow = linspace(0,2.75*muTimeWindow,1000);
+gxTimeWindow = (1 / (sTimeWindow * sqrt(2*pi))) * exp(-((xQueryTimeWindow - muTimeWindow).^2) / (2 * sTimeWindow^2));
+
+%%%%% gaussian curve of the global mean speed in time window
+k = 14;
+fw = 6;
+meanTimeWindow = [];
+for i = 1:(length(time))-fw
+ if (i+fw)+k <= 120
+ meanTimeWindow = [meanTimeWindow elaboration.speed.mean((i+k):(i+fw+k))];
+ k = k + 23; % day shifting. one window per day
+ end
+end
+xMeanTimeWindow = sort(reshape(meanTimeWindow,1,[]));
+[muMeanTimeWindow,sMeanTimeWindow,~,~] = normfit(xMeanTimeWindow);
+xQueryMeanTimeWindow = linspace(0,2.75*muMeanTimeWindow,1000);
+gxMeanTimeWindow = (1 / (sMeanTimeWindow * sqrt(2*pi))) * exp(-((xQueryMeanTimeWindow - muMeanTimeWindow).^2) / (2 * sMeanTimeWindow^2));
+
+%%%%% gaussian curve of the global speed
+globalData = zeros(120,yearSamples);
+for j = 1:yearSamples
+ year = num2str(startIterator+j);
+ structName = ['data',year];
+ globalData(:,j) = data.(structName).("wind_speed_10m (m/s)");
+end
+xGlobal = sort(reshape(globalData,1,[]));
+[muGlobal,sGlobal,~,~] = normfit(xGlobal);
+xQueryGlobal = linspace(0,2.75*muGlobal,1000);
+gxGlobal = (1 / (sGlobal * sqrt(2*pi))) * exp(-((xQueryGlobal - muGlobal).^2) / (2 * sGlobal^2));
+
+figure;
+plot(xQueryGlobal, gxGlobal, 'Linewidth', 1.2); hold on;
+plot(xQueryTimeWindow, gxTimeWindow, 'Linewidth', 1.2); hold on;
+plot(xQueryMean, gxMean, 'Linewidth', 1.2); hold on;
+plot(xQueryMeanTimeWindow, gxMeanTimeWindow, 'Linewidth', 1.2); hold on;
+xline(min(elaboration.speed.mean), 'g--', 'Linewidth', 1.2); hold on
+xline(max(elaboration.speed.mean), 'r--', 'Linewidth', 1.2)
+grid('minor')
+xlabel('Wind speed [m/s]')
+ylabel('Probability density')
+legend('Years','Years time window constraint','Mean', ...
+ 'Mean time window constraint', 'Mean min', 'Mean max')
+title('Wind speed gaussian curves')
+subtitle({'Time constraint: from 12:00 to 18:00', ...
+ ['Years: from ', num2str(yearBegin), ' to ', num2str(yearEnd)]})
+
+g = struct();
+g.mu.global = muGlobal;
+g.mu.mean = muMean;
+g.mu.time_window = muTimeWindow;
+g.mu.mean_time_window = muMeanTimeWindow;
+
+g.s.global = sGlobal;
+g.s.mean = sMean;
+g.s.time_window = sTimeWindow;
+g.s.mean_time_window = sMeanTimeWindow;
+
+%%% wind speed
+muv = zeros(1,yearSamples); sv = zeros(1,yearSamples); gxv = zeros(120,yearSamples);
+fieldString = "wind_speed_10m (m/s)";
+for i = 1:yearSamples
+ year = num2str(startIterator+i);
+ structName = ['data',year];
+ [mu,s,~,~] = normfit(data.(structName).(fieldString));
+ x = sort(data.(structName).(fieldString));
+ gx = (1 / (s * sqrt(2*pi))) * exp(-((x - mu).^2) / (2 * s^2));
+ muv(i) = mu; sv(i) = s; gxv(:,i) = gx;
+end
+elaboration.speed.gx = gxv;
+elaboration.speed.mu = muv;
+elaboration.speed.s = sv;
+
+%%% wind direction
+% prefer using the gaussian curve of the distribution of values and not the
+% gaussian curve itself
+
+%%% wind speed
+muv = zeros(1,yearSamples); sv = zeros(1,yearSamples); gxv = zeros(120,yearSamples);
+fieldString = "wind_gusts_10m (m/s)";
+for i = 1:yearSamples
+ year = num2str(startIterator+i);
+ structName = ['data',year];
+ [mu,s,~,~] = normfit(data.(structName).(fieldString));
+ x = sort(data.(structName).(fieldString));
+ gx = (1 / (s * sqrt(2*pi))) * exp(-((x - mu).^2) / (2 * s^2));
+ muv(i) = mu; sv(i) = s; gxv(:,i) = gx;
+end
+elaboration.gusts.gx = gxv;
+elaboration.gusts.mu = muv;
+elaboration.gusts.s = sv;
+end
+
diff --git a/utilities/forecastAnalysis/storical/src/generalPlots.m b/utilities/forecastAnalysis/storical/src/generalPlots.m
new file mode 100644
index 0000000000000000000000000000000000000000..8db9c89267c90c50097cb2735bd8f3c58bb5c320
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/src/generalPlots.m
@@ -0,0 +1,84 @@
+function generalPlots(elaboration, data, time, yearSamples, startIterator, yearsLegendLabels, windModel, location)
+% generalPlots - function that generates plots of the analysis
+%
+% INPUTS:
+% elaboration, struct : struct containing wind information
+% data, struct: struct containing all data
+% time, time: time period during which the measurement was taken
+% yearSamples, double : number of years
+% startIterator, double: year before the first we are interested in
+% yearsLegendLabels, string array : string array containing years for
+% the plots
+% windModel, char : the wind model
+% location, char : location of the launchsite
+
+
+%%% WIND SPEED
+switch location
+ case 'roccaraso'
+ days = {'Sep 12','Sep 13','Sep 14','Sep 15','Sep 16'};
+
+ case 'euroc'
+ days = {'Oct 9','Oct 10','Oct 11','Oct 12','Oct 13','Oct 14','Oct 15'};
+end
+figure;
+for i = 1:yearSamples
+ year = num2str(startIterator+i);
+ structName = ['data',year];
+ plot(time, data.(structName).("wind_speed_10m (m/s)")); hold on;
+ xlabel('Time [days]')
+ ylabel('Wind speed [m/s]')
+end
+plot(time, elaboration.speed.mean, 'k', 'Linewidth', 1.2); hold on
+plot(time, ones(length(time),1)*elaboration.speed.minval, '--g', 'Linewidth', 1.2)
+plot(time, ones(length(time),1)*elaboration.speed.maxval, '--r', 'Linewidth', 1.2)
+flightWindow(time, location);
+legend([yearsLegendLabels,'Mean','Min','Max'], ...
+ 'NumColumns', 2)
+grid('minor')
+xlim([time(1), time(end)])
+xticklabels(days)
+xtickangle(0)
+title('Wind speed over years from 12:00 to 18:00')
+subtitle(windModel)
+
+%%% WIND DIRECTION
+figure;
+for i = 1:yearSamples
+ year = num2str(startIterator+i);
+ structName = ['data',year];
+ plot(time, data.(structName).("wind_direction_10m (°)")); hold on;
+ xlabel('Time [days]')
+ ylabel('Wind direction [deg]')
+end
+plot(time, elaboration.direction.mean, 'k', 'Linewidth', 1.2); hold on
+flightWindow(time, location)
+legend([yearsLegendLabels,'Mean'], 'NumColumns', 2)
+grid('minor')
+xticklabels(days)
+xtickangle(0)
+xlim([time(1), time(end)])
+title('Wind direction over years from 12:00 to 18:00')
+subtitle(windModel)
+
+%%% WIND GUSTS
+figure;
+for i = 1:yearSamples
+ year = num2str(startIterator+i);
+ structName = ['data',year];
+ plot(time, data.(structName).("wind_gusts_10m (m/s)")); hold on;
+ xlabel('time [days]')
+ ylabel('speed [m/s]')
+end
+plot(time, elaboration.gusts.mean, 'k', 'Linewidth', 1.2); hold on
+plot(time, ones(length(time),1)*elaboration.gusts.minval, '--g', 'Linewidth', 1.2)
+plot(time, ones(length(time),1)*elaboration.gusts.maxval, '--r', 'Linewidth', 1.2)
+flightWindow(time, location)
+legend([yearsLegendLabels,'Mean','Min','Max'], ...
+ 'NumColumns', 2)
+grid('minor')
+xlim([time(1), time(end)])
+title('Wind gusts over years from 12:00 to 18:00')
+subtitle(windModel)
+end
+
diff --git a/utilities/forecastAnalysis/storical/src/geoplots.m b/utilities/forecastAnalysis/storical/src/geoplots.m
new file mode 100644
index 0000000000000000000000000000000000000000..5868b22bbcfa03e4e1c0902c3bb6761f8df6f069
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/src/geoplots.m
@@ -0,0 +1,38 @@
+function geoplots(geo, location)
+% geoplots - function that plots some point of interest on a satellite map
+%
+% INPUTS:
+% geo, struct: struct containing coordinates of the launchsite
+% location, char: tlocation of the launchsite
+
+switch location
+ case 'roccaraso'
+ figure;
+ geoplot(geo.latLaunch, geo.lonLaunch, 'ob', 'LineWidth', 3); hold on
+ geoplot(geo.latStation, geo.lonStation, 'or', 'LineWidth', 3)
+ geoplot([geo.latStation, geo.latLaunch], [geo.lonStation, geo.lonLaunch], ...
+ '--m', 'LineWidth', 1.2)
+ legend('Launch pad', 'Station data', 'Distance')
+ geobasemap satellite
+ title('Distance between weather station and launch site')
+ geolimits(geo.latLimits,geo.lonLimits)
+
+ figure;
+ geoplot(geo.latLaunch, geo.lonLaunch, 'ob', 'LineWidth', 3); hold on
+ geoplot(geo.latNord, geo.lonNord, 'og', 'LineWidth', 3)
+ geoplot(geo.latHeidi, geo.lonHeidi, 'pr', 'LineWidth', 3); hold on
+ legend('South ramp', 'North ramp', 'Chalet Heidi')
+ geobasemap satellite
+ title('Launch sites')
+ geolimits([41.805, 41.815],[14.051, 14.055])
+
+
+ case 'euroc'
+ figure;
+ geoplot(geo.latLaunch, geo.lonLaunch, 'ob', 'LineWidth', 3);
+ legend('Launch pad')
+ geobasemap satellite
+ title('Launch site position')
+ geolimits(geo.latLimits,geo.lonLimits)
+end
+
diff --git a/utilities/forecastAnalysis/storical/src/print.m b/utilities/forecastAnalysis/storical/src/print.m
new file mode 100644
index 0000000000000000000000000000000000000000..1ce6bf8577099d20d0e83eda4b233e81300ee8bf
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/src/print.m
@@ -0,0 +1,65 @@
+function print(g, geo, elaboration, years, location)
+% print - function that prints the result of the analysis
+%
+% INPUTS:
+% g, struct: struct containing the gaussian curve data
+% geo, struct: struct containing the coordinates of the location
+% elaboration, struct : struct containing wind information related to
+% the gaussian curve
+% years, string array: string array containing years for the prints
+% location, char: location of the launchsite
+muGlobal = g.mu.global;
+muMean = g.mu.mean;
+muTimeWindow = g.mu.time_window;
+muMeanTimeWindow = g.mu.mean_time_window;
+
+sGlobal = g.s.global;
+sMean = g.s.mean;
+sTimeWindow = g.s.time_window;
+sMeanTimeWindow = g.s.mean_time_window;
+
+% Print basic info
+if strcmp(location,'roccaraso')
+ fprintf('Distance between station and launch site: %.2f km\n\n', geo.arclen * 100);
+end
+
+fprintf('Wind speed minimum value: %.2f m/s\n', elaboration.speed.minval);
+fprintf('Wind speed maximum value: %.2f m/s\n', elaboration.speed.maxval);
+fprintf('\nWind gust minimum value: %.2f m/s\n', elaboration.gusts.minval);
+fprintf('Wind gust maximum value: %.2f m/s\n', elaboration.gusts.maxval);
+
+% Print wind speed mean
+fprintf('\nWIND SPEED MEAN VALUE m/s\n');
+fprintf('%-10d', years); fprintf('\n');
+fprintf('%-10.2f', elaboration.speed.mu); fprintf('\n');
+
+% Print gusts mean
+fprintf('\nWIND GUSTS MEAN VALUE m/s\n');
+fprintf('%-10d', years); fprintf('\n');
+fprintf('%-10.2f', elaboration.gusts.mu); fprintf('\n');
+
+% Print wind speed std deviation
+fprintf('\nWIND SPEED STANDARD DEVIATION m/s\n');
+fprintf('%-10d', years); fprintf('\n');
+fprintf('%-10.2f', elaboration.speed.s); fprintf('\n');
+
+% Print gusts std deviation
+fprintf('\nWIND GUSTS STANDARD DEVIATION m/s\n');
+fprintf('%-10d', years); fprintf('\n');
+fprintf('%-10.2f', elaboration.gusts.s); fprintf('\n');
+
+% Global statistics
+fprintf('\n\nGaussian distribution of all data over years from %d to %d\n', years(1), years(end));
+fprintf('mu = %.2f m/s s = %.2f m/s\n', muGlobal, sGlobal);
+
+fprintf('\nGaussian distribution of all data over years with time window\n');
+fprintf('mu = %.2f m/s s = %.2f m/s\n', muTimeWindow, sTimeWindow);
+
+fprintf('\nGaussian distribution mean data\n');
+fprintf('mu = %.2f m/s s = %.2f m/s\n', muMean, sMean);
+
+fprintf('\nGaussian distribution of mean data with time window\n');
+fprintf('mu = %.2f m/s s = %.2f m/s\n', muMeanTimeWindow, sMeanTimeWindow);
+
+end
+
diff --git a/utilities/forecastAnalysis/storical/src/processData.m b/utilities/forecastAnalysis/storical/src/processData.m
new file mode 100644
index 0000000000000000000000000000000000000000..3d8998630f95fa619bc2a8c96a4fe49789550cee
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/src/processData.m
@@ -0,0 +1,45 @@
+function elaboration = processData(data, dataSamples, yearSamples, startIterator)
+% processData - function that prepares data for the other functions
+%
+% INPUTS:
+% data, struct: struct containing all data
+% dataSamples, double : number of total samples
+% yearSamples, double : number of years considerated
+% startIterator, double: year before the first we are interested in
+
+% wind speed
+fieldString = "wind_speed_10m (m/s)";
+sumOverYears = zeros(dataSamples, 1);
+for i = 1:yearSamples
+ year = num2str(startIterator+i);
+ structName = ['data',year];
+ sumOverYears = sumOverYears + data.(structName).(fieldString);
+end
+elaboration.speed.mean = sumOverYears/yearSamples;
+elaboration.speed.minval = min(elaboration.speed.mean);
+elaboration.speed.maxval = max(elaboration.speed.mean);
+
+% wind direction
+fieldString = "wind_direction_10m (°)";
+sumOverYears = zeros(dataSamples, 1);
+for i = 1:yearSamples
+ year = num2str(startIterator+i);
+ structName = ['data',year];
+ sumOverYears = sumOverYears + data.(structName).(fieldString);
+end
+elaboration.direction.mean = sumOverYears/yearSamples;
+
+% wind gusts
+fieldString = "wind_gusts_10m (m/s)";
+sumOverYears = zeros(dataSamples, 1);
+for i = 1:yearSamples
+ year = num2str(startIterator+i);
+ structName = ['data',year];
+ sumOverYears = sumOverYears + data.(structName).(fieldString);
+end
+elaboration.gusts.mean = sumOverYears/yearSamples;
+elaboration.gusts.minval = min(elaboration.gusts.mean);
+elaboration.gusts.maxval = max(elaboration.gusts.mean);
+
+end
+
diff --git a/utilities/forecastAnalysis/storical/src/read.m b/utilities/forecastAnalysis/storical/src/read.m
new file mode 100644
index 0000000000000000000000000000000000000000..676a24ac6a90667b9c16492aa8b99ef20374af8d
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/src/read.m
@@ -0,0 +1,25 @@
+function [data,dataSamples,time] = read(yearSamples,startIterator, location)
+% read - function that reads data and put them into usefull variables
+%
+% INPUTS:
+% yearSamples, double : number of years considerated
+% startIterator, double: year before the first we are interested in
+% location, char: name of the launchsite
+%
+% OUTPUTS:
+% data, double : struct containing all data
+% dataSamples, double: number of total samples
+% time, time: time period during which the measurement was taken
+for i = 1:yearSamples
+ year = num2str(startIterator+i);
+ fileName = ['data\',location,'\',year,'.csv'];
+ structName = ['data',year];
+ data.(structName) = readtable(fileName,'VariableNamingRule', 'preserve');
+end
+
+dataSamples = length(data.data2017.time);
+
+time = datetime(data.data2017.time, 'convertfrom', 'posixtime', 'Format', ...
+ 'MM/dd HH:mm:ss.SSS');
+end
+
diff --git a/utilities/forecastAnalysis/storical/src/switchLocation.m b/utilities/forecastAnalysis/storical/src/switchLocation.m
new file mode 100644
index 0000000000000000000000000000000000000000..70a1fff151025df9b57dfe594aff2c34f35fbeff
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/src/switchLocation.m
@@ -0,0 +1,48 @@
+function [coordinates] = switchLocation(location)
+% switchLocation - function that assign coordinates to the selected location
+%
+% INPUT:
+% location, char: location of the launchsite
+%
+% OUTPUT:
+% coordinates, struct: coordinates of the launchsite
+
+arguments
+ location char
+end
+
+switch location
+ case 'roccaraso'
+ % rampa nord
+ coordinates.latNord = 41.810833; % 41° 48' 39.0" N
+ coordinates.lonNord = 14.055278; % 14° 03' 19.0" E
+ % rifugio heidi
+ coordinates.latHeidi = 41.8100314;
+ coordinates.lonHeidi = 14.0528315;
+ % lunchpad
+ coordinates.latLaunch = 41.8084579;
+ coordinates.lonLaunch = 14.0546408;
+ % station
+ coordinates.latStation = 41.792618;
+ coordinates.lonStation = 14.086956;
+
+ % geolimits for plots
+ coordinates.latLimits = [41.79, 41.82];
+ coordinates.lonLimits = [14.05, 14.09];
+
+ [coordinates.arclen,~] = distance(coordinates.latLaunch, coordinates.lonLaunch, ...
+ coordinates.latStation, coordinates.lonStation);
+
+ case 'euroc'
+ coordinates.latLaunch = 39.388727;
+ coordinates.lonLaunch = -8.287842;
+
+ % geolimits for plots
+ coordinates.latLimits = [39.37, 39.395];
+ coordinates.lonLimits = [-8.29, -8.28];
+ otherwise
+ error('Location not defined')
+
+end
+end
+
diff --git a/utilities/forecastAnalysis/storical/storicalAnalysisConfig.m b/utilities/forecastAnalysis/storical/storicalAnalysisConfig.m
new file mode 100644
index 0000000000000000000000000000000000000000..a10b4f892c7ad9501091daf4aa63cdb92981f0d8
--- /dev/null
+++ b/utilities/forecastAnalysis/storical/storicalAnalysisConfig.m
@@ -0,0 +1,23 @@
+% mainStabilityAnalysis - Script to setup years, flags and location
+%
+% Copyright © 2025, Skyward Experimental Rocketry, AFD department
+% All rights reserved
+
+%% settings
+settings.windModel = 'ECMWF IFS';
+
+% location MUST be 'roccaraso' or 'euroc'
+settings.location = 'roccaraso';
+
+% year data
+settings.yearBegin = 2017;
+settings.yearEnd = 2024;
+settings.startIterator = 2016;
+
+% flags
+settings.flag.ifGeoplots = true;
+settings.flag.ifBarChart = true;
+settings.flag.ifCompass = true;
+settings.flag.ifGaussianDistribution = true;
+settings.flag.ifPlots = true;
+settings.flag.ifPrints = true;
\ No newline at end of file