diff --git a/CIM/CIM outputs.ipynb b/CIM/CIM outputs.ipynb
new file mode 100755
index 0000000..2d64da5
--- /dev/null
+++ b/CIM/CIM outputs.ipynb	
@@ -0,0 +1,105 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "   Script prepared by Dr. Dasaraden Mauree                 \n",
+    "   Contact: EPFL                                           \n",
+    "   dasaraden.mauree@epfl.ch / dasaraden.mauree@gmail.com  \n",
+    "                                                         \n",
+    "   Use this script to read Profils.csv from CIM, select \n",
+    "   specific rows and create new file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#importing necessary packages\n",
+    "\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import time\n",
+    "import math\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.dates as dates\n",
+    "%matplotlib inline \n",
+    "from datetime import datetime, timedelta\n",
+    "from IPython.core.interactiveshell import InteractiveShell\n",
+    "InteractiveShell.ast_node_interactivity = \"all\"\n",
+    "\n",
+    "#Opening file and saving in array\n",
+    "profils=pd.read_csv(\"confluence/v2/Profils_july.csv\", header=\"infer\", sep=\";\", names = [\"z\", \"u\", \"v\", \"pt\", \"tke\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Selecting data\n",
+    "cf=profils[profils['z']==7.5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "#Computing horizontal wind speed and air temperature (°C)\n",
+    "cf['U (m s$^{-1}$)']=(cf['u']**(2)+cf['v']**(2))**(1/2)\n",
+    "cf['Air Temp. (°C)']=cf['pt']-273.15"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cf=cf.drop(['u', 'v','pt', 'tke'], axis=1)\n",
+    "cf=cf.round(1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "#Printing output in txt file\n",
+    "cf.to_csv(r'cf_results_july.txt', header=None, sep=' ', mode='a')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [default]",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}