{ "cells": [ { "cell_type": "markdown", "metadata": { "execution": { "iopub.execute_input": "2025-07-15T17:54:57.930578Z", "iopub.status.busy": "2025-07-15T17:54:57.926902Z", "iopub.status.idle": "2025-07-15T17:54:57.937203Z", "shell.execute_reply": "2025-07-15T17:54:57.936416Z", "shell.execute_reply.started": "2025-07-15T17:54:57.930422Z" } }, "source": [ "# Total Precipitation and Umbrella Search Trends in India (2004–2024)\n", "\n", "In this notebook, we explore the relationship between rainfall patterns and public interest in umbrellas across India from 2004 to 2024.\n", "\n", "We use **`varunayan`** to extract monthly total precipitation data from the ERA5 climate reanalysis dataset for India.\n", "\n", "We aim to:\n", "- Compare precipitation data with Google Trends search queries for \"umbrella.\"\n", "- Visualize time series of both precipitation and search interest and identify potential lead-lag relationships.\n", "- Explore regional patterns in precipitation using raw high-resolution climate data (latitude-longitude based), which was obtained with the processed data from `varunayan`.\n", "\n", "This study can help identify when and where umbrella demand may rise, helpful for regional sales planning." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 1: Extract ERA5 Total Precipitation for India\n", "\n", "We use the `varunayan` library to download monthly total precipitation (`tp`) for India from 2004 to 2024 at 0.1° resolution. Unit of precipitation is meters" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "=== Variable Descriptions (SINGLE LEVELS) ===\n", "\n", "total_precipitation:\n", " Category: precipitation_variables\n", " Description: Cumulative precipitation (convective + large-scale). Unit: meters (m) of water equivalent.\n" ] } ], "source": [ "import varunayan\n", "\n", "varunayan.describe_variables([\"total_precipitation\"], dataset_type=\"single\")" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2025-07-15T18:03:49.340292Z", "iopub.status.busy": "2025-07-15T18:03:49.339724Z", "iopub.status.idle": "2025-07-15T18:09:27.454747Z", "shell.execute_reply": "2025-07-15T18:09:27.454301Z", "shell.execute_reply.started": "2025-07-15T18:03:49.340264Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[0m\n", "============================================================\u001b[0m\n", "\u001b[0m\u001b[0;34mSTARTING ERA5 SINGLE LEVEL PROCESSING\u001b[0m\u001b[0m\n", "\u001b[0m============================================================\u001b[0m\n", "\u001b[0mRequest ID: prec_india_2004_2024\u001b[0m\n", "\u001b[0mVariables: ['total_precipitation']\u001b[0m\n", "\u001b[0mDate Range: 2004-01-01 to 2024-12-31\u001b[0m\n", "\u001b[0mFrequency: monthly\u001b[0m\n", "\u001b[0mResolution: 0.1°\u001b[0m\n", "\u001b[0mGeoJSON File: C:\\Users\\ATHARV~1\\AppData\\Local\\Temp\\prec_india_2004_2024_temp_geojson.json\u001b[0m\n", "\n", "\n", "--- GeoJSON Mini Map ---\n", "\n", "\u001b[0;34mMINI MAP (68.18°W to 97.38°E, 8.13°S to 37.08°N):\u001b[0m\n", "┌────────────────────────────────────────┐\n", 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\u001b[0;31m·\u001b[0m = Outside the shape\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "8686b29be6d141439254cdb339062111", "version_major": 2, "version_minor": 0 }, "text/plain": [ "b27c97db6041ad9d77270d28acde6c50.zip: 0%| | 0.00/13.8M [00:00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "setup_matplotlib()\n", "\n", "fig, ax1 = plt.subplots(figsize=(12, 5))\n", "\n", "# Plot tp on left y-axis\n", "ax1.plot(df_merged['date'], df_merged['tp'], color='tab:blue', marker='o', label='Total Precipitation (tp)')\n", "ax1.set_ylabel('Total Precipitation (mm)', color='tab:blue')\n", "ax1.tick_params(axis='y', labelcolor='tab:blue')\n", "\n", "# Apply log transform to umbrella\n", "umbrella_log = np.log(df_merged['umbrella'] + 1) # Add 1 to avoid log(0)\n", "\n", "# Plot on right y-axis\n", "ax2 = ax1.twinx()\n", "ax2.plot(df_merged['date'], umbrella_log, color='tab:orange', marker='s', label='umbrella (log-scaled)')\n", "ax2.set_ylabel('Log of umbrella Trend', color='tab:orange')\n", "ax2.tick_params(axis='y', labelcolor='tab:orange')\n", "\n", "# Title and grid\n", "plt.title('Total Precipitation vs Google Trends for Umbrella (Log-Transformed)')\n", "ax1.set_xlabel('Date')\n", "ax1.grid(True)\n", "fig.tight_layout()\n", "\n", "plt.show()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> The above plot shows that there is close relation between the Google trend for the search \"umbrella\" and precipitation in India." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 7: Cross-Correlation Function (CCF)\n", "\n", "We normalize both `tp` and `umbrella` series and compute the cross-correlation function (CCF) across ±12 months. This reveals any leading or lagging relationships between rainfall and umbrella search interest.\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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+s61fWay2e+mllyaVfJ988snQUDz88MNh5513DhdccEHSrxUrVmxynVjl+09/+lNSwfZnP/tZQfvTokWL8LWvfS1t3r/+9a+kcn6+/va3vyWVjTdq1qxZOPvss7NW6j322GPDUUcdFR599NFqf+/K+/hvfvOb5Lf89a9/HZqC2bNnJxWrv/zlLyff95o1a2o8RuO+Er+vgw46KKnWXAzxWI1Vho8++ujwP//zP0ml7E2JfY2/6WGHHRa++tWv5rR/N2ax0nSmbbbZJuf1FyxYEA4++OCkEnmmWPH5pz/9aUWF++rOJT/84Q+TJzvU5P3330/OHfH8WfmJLbmKx2h8UssXvvCFcP3114ePPvqoxuVjpfORI0eGvffeO6kmXZ/i8RMry8fzz/r167MuE+fH/TI+HeDCCy+s8XgrhXgfEK9r8fcZPXp0Usm8us9SWTwXXHXVVcl94mOPPRYamnhPMWjQoOQe5cUXX6zxM8UnvcR77/333z+ccMIJ1e73uYj3T7GK/be//e0a7xXi+em+++5L7mt++9vf1ro9AAAAoDgEzQEAAADIKYjz9NNPp83bYostwoEHHliyPj311FNV5sWAHdxyyy3hnHPOScJTuYiBpxjMnDlzZhJCjfv15MmT82rvhhtuyDs8GNuMIdJcxdDWkUcemQx+yNe6devCWWedVWP4NIZp27ZtW+XYv+SSS8L555+fNdi5qcDZV77ylSSoXWoxoBkHotQ0cGBT39+VV14ZrrvuuoL26+tf/3qVduLgiHzdddddadOHHnpo6NWrV5Ug8iGHHJIMrshXDLHHUO0PfvCD0JjF61gMXz7//PN5r/vcc88lA1Bqs24+XnjhhSRkPnHixFpv44EHHghnnnlmaMpiIDjT9ttvn/P65513Xo2h7fhb77DDDlXmx1BsDOPOnTs3j96GJLwbz8ExzJyreA2LAyJi6H1Tg0IyxWtYHBwRg+f1IQ56ioNWysvLc15nzJgxyeeJ56KGIIav42CvOMhq5cqVtdpGvC7G/aEux2uh3XPPPcn+Gwes5CsGzmNQvDaDFOI1Pw7iyTZ4ozpxv44D0+J9FAAAANBwtSh1BwAAAABo+GJ4JFbCrSyG9Vq2bFmS/sRgyvTp09Pmde/ePWy33XYl6Q8NK3z497//vWJ6yy23TAKFsZpqDCEuWbIkCZv+/ve/TwuixwB2DNG+9957FQHC1q1bJxWnY7g7rhuXf/XVV8Mf/vCH5JioLIYHv/nNb4Z27drl1M9YYTSzEm8Mx8cKu/HfCxcuTAZT3HHHHUlV7cqB3xiYjkGuXXfdNefv5dZbb91keD4G7jLFSuoxpJ0pBhhPPPHEpJptp06dkgrAcfuxQmnlkFkMTsfvv3PnzkmwvhTi7x2fkpBpr732CieddFLyGbbeeuukwnj8rt95553wj3/8I6lyH4P2lV1xxRXh9NNPT843hbDLLrskob6XX365Yt7dd9+dVIPNVdwXYwi6pgB7FMOUmeHc3r17J/t4/C7iZ4r7fPwOXn/99SS8Hv9b2bXXXpuEKuPx1NjECr+x75nB2DhoKj5VIAZgY7C4rKws+U7jUzPiQJDKAdQYFo5PBZgwYUJS5b6yeOxX3sfj+p9//nnab135mO3atWuVPsbK5bGPmYNk4qCBM844IwmP9ujRI+lzvCbHatkx8Bv7mTmIJFbdjoMKjjnmmNAUZQ6uiOL5MxexAnWssp3v+fDGG29MQrGZ4tMzTjnllOQ42mqrrSrOI/FalPkUilgFu0OHDskTM2qSSqWSatT//ve/q7wX94PYv3juiu3F829s57bbbkurfh/313iejufm9u3bh0JZunRp8nkrB8bjAK34FIUBAwYkfY8h57/85S/JwInM83G8Vmb7/fIRK7ZvPE7i8Tpp0qS09zOvN/FclykG+CvfL2x8GkQcdBUHScUnOcR7iHgdi99l/B7jsZZ5LY33pLFae7w/yFS5H/E3qlwtPJ5v4j5T6Crz8V4ic2BC/Bxxf4oDMuO9cqwsHwfXxXPEgw8+mFbxPM4fPnx4ci2P55tcxe3PmTMn7SlF8fPH/70Qz4/xvdi/uF9knq/iQKa4bLbzIgAAANAApAAAAABgE/7xj3+k4p+SKr/OPffckvXnnXfeqdKfQw45JFVqI0aMqNKvWbNmFaXtoUOHVmn7mWeeaXSfM/Y5c9ujRo3Ka/mNr+OOOy61bNmyrOu98cYbqfbt21e77h577FHtZ1q6dGnqoIMOqrLOHXfckdd3tvH11a9+NfXZZ59lXW/hwoWpI444oso6++67b2r9+vXVtrfDDjukLd+xY8eKf3fo0CF12mmnpb7//e8n/+3evXvyXaxcuTJtG+PGjavS7rbbbpt68sknUzW56667Um3btk1br1OnTqn333+/2nXGjh1bpa18fvPqfqv4HQ0YMCBt2WbNmqXGjBmT2pSJEyemtt9++ypt3XDDDalCin3JbGPGjBk5r//zn/88bd0tt9yyym9ZXl5e5Tc56aSTUqtWrap2uxs2bEhdddVVVfp2wgknpEohc5+O07lavnx5qmfPnlU+y8EHH1zjuSu+N3z48Crr7bTTTsl5IJ/+1nQe22jkyJFV2vrGN75R5ffMNH/+/Kz9rOm3ip+tGNeM+LkL3c4TTzyRKisrS9tmy5YtU/Pmzcvp+lj5fNi6devUiSeemJwPzzrrrFSfPn2SbX/44Ydp25g0aVKqVatWVbZz77331tjXxx9/PLXNNttU6euECRNqXO+mm26q8r3Fc/f9999f7TqLFi1KHXnkkVXWi5+tLr9/tmU3vtq0aVPjtS+e2zO/t/h66KGHCnKOz/f6sVH8fTP7tdVWW6VefPHFTa77l7/8JetnmjJlSo3rZe6H8b5gUzLvHeI2avpM2e5rTjnllNQnn3xS7Xqx37vvvnuV9Q444IDU2rVrcz7HbXzFe4p//vOf1a4X7wV23XXXKuvFaxkAAADQMDUrddAdAAAAgIZv3rx5VebFCs+l0tD6U5M+ffokFXJr+4pVKHMxfvz4pIpo5dewYcPC5ipWI/3f//3faqu4xmrE2apcb6x8GquuZquAGnXs2DHceeedoVWrVmnzMyu35iJWx44VUrt06ZL1/Vjdc9y4cUkV0spiReUHHngg53Y2VnGOlVpjtdJ77703/PrXv07+G6vBxurdbdq0qVg+VjsdOXJk2jZ69uwZJk6cGA499NAa2zrrrLPCk08+mVRdrlwBN1bULrbYj1hZt7JYkfiCCy7IqWJu/H6ybbOQYhXYyt/VxqrmucqsDBy3V/m33NjnytW143klVsuPFcyrE88/V155ZVL1vbJYqbtyle/G4IYbbqhy3YiVvuNnqe44j+J7TzzxRJWq4PHJB7G6eyHFYyT+JpXFyvGxSnXm75lp2223DQ899FBS3bo+99WG4J577kn2yXiNy6zin2v15Y3nw3iMv/vuu8m1Ip4P47E0Y8aM5Hoaq8hXFs+H8by4UaxK/p///Cc53moSn4gRnzhQuVJzrDZ9ySWXVLtOrPYcK59XFs8Rsbp5rCRenfjkiFideuDAgVWeaJFZyb8Q4lNt4n43YsSIapeJ1bVj1fB4Pqnsxz/+cZXfsJhuvvnmtN8zir9/Lk9riE+BGDVqVJX5pT7efvazn1V5GkK81sUnjcSndlQnVsaP+3I8HjLvaWL18XzE+6NnnnkmHH744dUu07dv32Q/zbyHitXVAQAAgIZJ0BwAAACATVq2bFmVeZmBts25PzQsMfx2/fXXh+bNm9e43Kmnnpp1/m9+85tNBvxjADUzkDZ16tS8+hm3EUOkzZrV/GfaGMYaO3ZsEuCq7JZbbsmrvRiuj4HKzMBZ3P7++++fNi8GrOfPn18l/Lzddtvl1FbcXgy9Vfa3v/0tfPjhh6GYYpuVxYEHP/rRj3JeP36Ofv36pc2bO3duKKROnTqFE044IW3eX//615zWfeWVV8L06dOrBG4zzZo1K2165513Du3atcupjcwBGbG/77//fmgs4vUiMxQe9+MYoMwMOmYTl4nLZu77f/jDH6qEOusihixXrVqVNi8eQ5s6j20Uzw+ZgwJi/2KAvTGKIeQYuI7noRhcveaaa8LgwYPDmWeeWeV732abbbIGf2vSrVu3ZIBN5iC1eD4+6KCD0uY9++yzYdKkSWnzfv/734dBgwbl1FY8h8Rgc2UvvfRSePHFF7MuHwcfffzxx2nzfvGLX1QJAmcTByVcd911afNiyDwOqii0eC494ogjNrlcHKjxrW99K21eHAAUg/OlknltOPDAA8OXv/zlnNf/xje+UWVeoa8N+Yjn+HifUFk8Xm688cYqIf9s4nn9/vvvTwZQVBYHYGzYsCHnfsQBZf3799/kcvEadOKJJ6bNmzx5cs7tAAAAAMUlaA4AAADAJsWwV6bMCrybc39oeNXMd9ppp00uF8NQmRWdY2XxzNBvdTIDyIsXL86rn7FadHUV1zPFauKZAeJYdX3OnDk5txcryNZUwbqmEPuXvvSlvCvkX3jhhUl4baN169blXR21roYMGZJU1I3B0RgUPv7443N+SsBGu+66a9p0IcPFG2X+trFidqwen28189jX+JkzZQaq46CIJUuW5NS3GG6NVYvfeOON5Ny7YMGCKhWTG7JYZTjz2IzHQj77QVz2iiuuSJsXtxkrNRdK9+7dk2MmBnfj+Ss+DePggw+u075aX/trXQ0fPnyTT/OIge94foznvvg9XHbZZWHKlClVthWD+LHKea7VzDeKFcVjBfDanA/jIKGzzz47r/ZiqDbzunT77bdnXTbzSQpxcNBFF12Uc1vxqRNx/9kofjfZngRTF7FCezyO8gkgt2jRIm1etidGFEOsZB4r0cdXPF/GgYr5/p7xeM3cf0p5rMUK4fEaW9kvf/nLZOBdruI+8+1vfzttXhzIFKud5yL+vueee27O7WUO1lu9enW9VN4HAAAA6k7QHAAAAIBNyhZUWbt2bSiVhtYfGpbMarTViUHGzKBYDJ3lWkE4htI3NQCiOjFAWV1F9ep87WtfqzLvueeey/mzHnnkkTktG8NymdV7jz766JCvtm3bhkMOOSRtXq6BtUI5//zzkyqvsSJxDOVnBrNzkVnhNYYUCy0GaTMrK2+qqnkMFd53331p82KoPpvMgGus8h1D95lV66sLDx533HFJRfz4mzY2cUBG5qCkWBU7X3GdzCrwcb8qlBgOjlWvn3jiifDuu++GmTNn5lSJuKZ9tb7214YiVnGPYf/43eXrqKOOynnZ8ePHp03HytebehJFpvhbxsremzofxt/r+eefT5sXA9G5VN+vLJ4bXn311eRYjyHzzCcT1NWIESPy6lOsIJ95DXrqqadCKcR+//znP0+C7i+//HL49NNPw3nnndcgrw21Pc/16tUrHH744bW6ZmbK9TwXB7pk3hfVJPYxUz73UQAAAEDxCJoDAAAAsEnZqi6vXLkylEpD609NZs2aFVKpVK1fuVYdJr1Sea4yK3zvuOOOOa+bGbKLv1euYpXofEO7gwcPDm3atEmb98ILL+S07oABA9Kqi9fkpZdeCuvXr0+bl0uF+Gz22GOPtOkJEyaEDRs2hMZg1apVSTXst956K21+ffQ/hlZjcDMzKJr5O1QWA8mffPJJxXQcIJFtMMLGIHuswJsZHoz7++mnn55UhI5hy6YoMyT5xS9+MWsge1NiyDwet7UZ6FHf4j4ZQ8Vxf832XlMTz50XXHBBeOedd5IBE/mK58J4TsxFfLrAwoUL6+V8GLdd+RiO3n777Sr3M5mVn3MRB03tueeeOT81I1+x8n6+DjjggLTpDz/8MHlCQmPz2WefJefnpUuXNohjLd57ZA5aGDp0aN6DITZW64+v2pzndt9997zayrZvZlZlBwAAABqG9OfUAQAAAEAWW2+9dZV5pQwlNrT+bG7yrbJb7PYyA7X5yDWMXdfvITNwmIsYJI4VQ1977bWKee+//35O6+YaqtwYdMx03XXXbbLCdjazZ89Om47VdeOx2rVr19BQrF69OulnrCAdK0nHzz958uTkle1JCfkMKMhHrEYeq+xu3P7HH3+cBIerq0SfWZ09Vlmubt+PgyKuvPLKcNFFF1UJ08fAZHzFUGIMpsYAaXzFcGusZt7YxUr2lcXPWFt77bVXWnXrGJQtpjjwYO7cucm+OmPGjGRfffPNN8Mrr7ySHFvZ1Nf+Wgxxv40B/3i+2GGHHcLAgQPDl770pXDYYYdVqS6fj1122SXn83e282E8F+Y6yKeyzFD5xsFo22yzTVr4vK4B3mKIAzbyFQdLZYqfty7X7PpUXl6eHGvxNW3atGRfiAM64nUi23FVqmMtBt4zj/+6nucqX7s/+OCDnNbLp5p5dU8naooDYwAAAKApaPx/JQYAAACg3n3hC1+oMi/X4Mnm0J/NTbZwUE2Vl/ORrZplZuXwTalLBddsn60+1DZonTnIIlZWLXQAbNGiRVXmFbJyc9x+qYLma9asSSqBx7DwG2+8kQQGY3C3IYRx+/btGw466KC0Ctx333131qB5DBaOGzcubd7Xv/71Grd/4YUXJmHJ3//+91nfjwG/SZMmJa+rr746bLnllknbJ554YjjqqKPyrsDfEMTzSWbV4bqEWjP32zgQIQY8a1MhPdenC8T9NQ56iL9dDCVnG/zQ2DzzzDNh2LBhJWu/rufDGDaOr0LI3H62Ct/ZBteVUseOHZPzQ76yfY7MavGlsnjx4vDggw8mT92IT7GIAfjGMoAx231AIc9z2Y6B6vaLumoI12IAAACgKkFzAAAAADZpp512Sqp/Vg6AxNBbqWy11VbJq3K4Zvr06SXrz+amdevWWQO8hZBtO9naq0m+wfRSyKdyek3rZYZoq9O5c+ec28g1VFaXQF+xrVy5Mvz2t78N119/fc7h/Mr7X6x6XgwxLF45aP7QQw+FFStWVKne/Pe//z2pRr5RPB8effTRm9z+DTfckITZv/Od7yQB+5osWbKkotp5DFKfe+65YdSoUbUKmJZKtn25tsdedevGNgodNI/fefyu40CIhrqvNmYN+XwYj/f6CPA2xOtXdZ+3mObPnx9+8pOfhHvuuSevYyc+YaSQg+zqIts1rZDnuXgtiPf/m3oKwMbvBAAAAGh6mpW6AwAAAAA0fDHkNGDAgLR5sRpwfQTa/vGPf4SJEyduMryz3377pU1/8sknSbXXQouhz/gqVJC6KchWMXz58uX1FkKuS4XyhipWjy7EerlWmW7RIveaI/W9rxc7CBvPC3vssUe44oorcgqZx2rHRxxxRPjVr34V3nnnnXDaaaeFYjn55JPTQssxhBnD5pnuuuuutOkzzzwz5wEWX/3qV5Pv5IEHHginnnpqTiHWWLU7hvTjoKOXX345NBbZquPWpWJuticu5HNsbcrnn38ejj/++HD66afnFDJv06ZN2HfffcMPf/jDpEr/zTffXLC+NGWb8/mwEGo7mKu+j598/fOf/wz9+/cPY8eOzel36NWrVzjllFPCrbfeGubNmxe22267sDmc55o1a7bJkDkAAADQtKloDgAAAEBOhg0bFt5666208NXzzz8fDjnkkIK2M3LkyDBnzpwk/Bgr7x588MHhoosuqlLVOvbn0UcfTZv39NNPJ1V3CylWuoyfc4sttggHHHBAGD58eNLHGEbdXG277bZV5n388ccF2faCBQtyaq+xixW2ayOzgnk+lXlzla1idexvDLU2Np9++mk48MADk6q12cKSgwYNSl677LJL6NevXzKgpnfv3gUL7OUrDhyIQcY///nPFfP++te/JkHyjT744IPwn//8p0ol9HzEcOcJJ5yQvNauXRuee+658K9//Sv8+9//Dq+99lq1AyHi9/nlL385vPTSS8n31dBlOz7Ky8trvb1sTxDIdbDHpsT97MQTT0zCr9nEQGwcMLHrrrsm3/3G/1YO6s6cObMgfaHm8+HUqVOT36NY7cWBHoXazwoh9qdQx0+hnwaQq3gOjU+ByBZ+j/efe+21Vxg4cGDFtWG33XYLW2+9dcmuDaU8zzWkfQ8AAAAoDUFzAAAAAHJyzDHHhD/84Q9p82JF3EIGzd9+++0kZL4xJBOD5G+++Wa45JJLsvbn0ksvrdKfQgbNlyxZEiZMmFARtH3qqafCiy++GC6++OKwOctWxbNQ1eRnzJiRU3uN3cKFCwuyXn0MeMi2zVhpvjEG/uMglcyQeaxKe/XVVyeh3nbt2tXboIDaiqHxykHzJ598MnliwzbbbFMRPK8ccBw8eHDyqq2WLVsmA3ria+NvHQftPPbYY0k19cynDMTpH/zgB+Hhhx8ODV0cTBBDkrFSeE2DWXL10UcfpU3HAVCdOnUKhXDLLbdUCZnHvl922WXhvPPOC927d29w++rmoLrzYTFDw3GAR7du3UJDEe+N4mCUWOm6rte97bffPhRbPE7OPvvsKiHz/fffP/zsZz8LQ4cODc2bN89pOw1Btn2mkOe5hrTvAQAAAKWR31+BAAAAANhsxUB5ZtD0nnvuqXVly2xuu+22KvNOPvnkrMvuvPPOYciQIWnzYkhv9uzZBevP2LFjqwSRvvKVr+QUTm3KYtXnTG+88UZBtv3qq6+mTcewV6wo2tTUpvLwqlWrkkq6le2+++6h0DIrekfvvvtuaGxi5e///d//rRJqnDhxYvja176W83FcqGr9uYpPTthpp50qpuM5aNy4cRXTMWhel2rmuYQWv/rVr4bbb789CRxec801VQKlMYReyHN/fdpxxx1rPMfkI3PdeKzkG7bNJg4c+N3vfpc2L1Yqf/zxx8MVV1yRU8i8FPvq5qDY58Ns7VV+mkyu4jo//elPw913350MkKvt4KZs4hNt3nvvvbzXmzx5cpXre+VzXbH8/e9/T64Pmfd2scp5HHCTS8h8/fr1YdGiRaEh2GqrraoMeCnkea5v37613hYAAADQNAiaAwAAAJCTGLz5xje+UaWq5Y033liQ7X/22WdJsDvTmWeeWe06scprZvDnF7/4RUH6s3r16qyf7ayzzgqbuxjy79ixY9q8zEq8tRGrtmYGnHbdddfQpk2b0NS89NJLea/zwgsvZK3AWmgHHnhglXnPPfdcrbYVnwIQj+tYITuG69euXRuKJVbcjlV3K/vJT36Sc2i3upBn5jbrQ2Z4/MEHH6wY0PHOO++kVSM/44wzctpmrOwef4ebbropqZCei1ixO1Yv//a3v13lXDt9+vTQGMTgfmXxHBOfmJGvpUuXhtdeey1tXl0qyVcWn9zx/vvvp8075ZRTwkEHHZT3djIVY39tyvbcc8+wxRZbFOR8+Morr4Q//vGP4V//+lcSVo+Dh7K1F4+7yl5++eW82/rHP/4RRo0alQyq2Th4JR63hVKbPj3//PNVPmspBu5tPJ9Wdv311+cUMN8onoczv89SHWtxsMt+++2XNi+G5mvTn7hfZj4FpFDnOQAAAKDxEjQHAAAAIGeXXHJJaN++fdq8n/3sZwUJHF588cVVKuQee+yxNQZcRowYkVQoruxPf/pTGD9+fJ37Ez/XrFmz0ubFvsQ+be7KysrCoYcemjbvww8/DI888kidtnvHHXdUCUbFKqNNUQxyxdBhPmKF6cpiAH/fffctcM9C2G677UKfPn3S5t155515h9ZiCO+CCy5IBqjEJyLEytLdunVLquEWQ+bxG2WG8TYlhvXiIJjKMsP+9eHss89Oq5T973//Oyxfvjzcd999acsdc8wxYeutt65xW3PmzEmq3fbs2TP5HWJo/JlnnsmrP0ceeWSVeZ9//nloDDLD2jHcm1kVPhdxncxg8PDhw2s8TxZzX12xYkV48sknq8wvxv7alLVq1arKeTZWxK5NRf/vf//74fzzzw9HHHFE6NevX3I/tWDBgirt7b333mnz/ud//ifv828MmmfuT/kEqTclVkrPRzwPxYEu9XF9z+dYy3a8xYrg+VZWzxZW39Sxlm8/63Kei993bQYAxnvoTDWd5wAAAIDNg6A5AAAAADmLYZw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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "\n", "tp = (df_merged['tp'] - df_merged['tp'].mean()) / df_merged['tp'].std()\n", "umbrella = (df_merged['umbrella'] - df_merged['umbrella'].mean()) / df_merged['umbrella'].std()\n", "\n", "# Full cross-correlation\n", "corr = np.correlate(umbrella - umbrella.mean(), tp - tp.mean(), mode='full')\n", "lags = np.arange(-len(umbrella)+1, len(umbrella))\n", "corr = corr / (len(umbrella) * umbrella.std() * tp.std()) # Normalize\n", "\n", "lag_limit = 12\n", "mask = (lags >= -lag_limit) & (lags <= lag_limit)\n", "lags_limited = lags[mask]\n", "corr_limited = corr[mask]\n", "\n", "# Plot\n", "plt.figure(figsize=(10, 5))\n", "plt.stem(lags_limited, corr_limited)\n", "plt.xlabel('Lag (months)')\n", "plt.ylabel('Cross-correlation')\n", "plt.title('CCF: Umbrella vs Total Precipitation')\n", "plt.axvline(0, color='gray', linestyle='--')\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.show()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> The cross-correlation plot (CCF) shows that **public interest in umbrella tends to peak about one month before** total precipitation reach their maximum. \n", "> This suggests that people **anticipate the rain** and start searching or preparing for monsoon **in advance** (a month before the peak to be exact)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 8: Load Raw ERA5 Precipitation Data\n", "\n", "We import raw hourly ERA5 total precipitation data (already converted to mm), and filter for June–August months to focus on India's monsoon season.\n" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "raw_df = pd.read_csv(\"prec_india_2004_2024_output/prec_india_2004_2024_raw_data.csv\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 9: Aggregate Rainfall Across Years at Each Grid Point\n", "\n", "We compute the total precipitation for June, July, and August at each (latitude, longitude) grid cell averaged across all years.\n" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "raw_df['date'] = pd.to_datetime(raw_df['date'])\n", "raw_df['tp'] = raw_df['tp'] * 1000 # Convert to mm\n", "\n", "raw_df_rain = raw_df[raw_df['date'].dt.month.isin([6, 7, 8])]" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "raw_df_avg = raw_df_rain.groupby(['latitude', 'longitude'])['tp'].sum().reset_index()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 10: Visualize Regional Rainfall Patterns During Monsoon\n", "\n", "We plot a log-scaled spatial heatmap of average June–August precipitation across India using ERA5 data from 2004 to 2024.\n", "\n", "States with the **highest interest in umbrellas during monsoon months (June–August)**—based on Google Trends—are highlighted on the map.\n", "\n", "- **Yellow dots** mark the selected high-interest states.\n", "- **Log scaling** is used to simultaneously reveal both high and low precipitation zones.\n", "- This helps identify whether areas with high rainfall also show elevated umbrella-related search behavior.\n" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "import matplotlib.colors as mcolors # For LogNorm\n", "\n", "states = [\n", " \"Arunachal Pradesh\", \"Meghalaya\", \"Nagaland\", \"Kerala\", \"Goa\", \"Sikkim\", \"Mizoram\", \"Maharashtra\", \"Karnataka\", \"Dadra and Nagar Haveli\"\n", "]\n", "\n", "pin_lat = [\n", " 28.2180, 25.4670, 26.1584, 10.1632, 15.2993, 27.3516, 23.1645, 18.7515, 14.3173, 20.27\n", "]\n", "\n", "pin_lon = [\n", " 94.7278, 91.3662, 94.5624, 76.6413, 74.1240, 88.3239, 92.9376, 74.0139, 75.3739, 73.02\n", "]\n", "\n", "# Pivot data\n", "heatmap_data = raw_df_avg.pivot(index='latitude', columns='longitude', values='tp')\n", "\n", "# Plot heatmap with log scale\n", "plt.figure(figsize=(8, 7.5))\n", "ax = sns.heatmap(\n", " heatmap_data,\n", " cmap='icefire_r',\n", " norm=mcolors.LogNorm(vmin=heatmap_data[heatmap_data > 0].min().min(), vmax=heatmap_data.max().max()),\n", " cbar_kws={'label': 'Avg Total Precipitation (mm) [log scale]'}\n", ")\n", "\n", "# Format tick labels to 3 decimal places\n", "ax.set_xticklabels([f\"{float(label.get_text()):.3f}\" for label in ax.get_xticklabels()])\n", "ax.set_yticklabels([f\"{float(label.get_text()):.3f}\" for label in ax.get_yticklabels()])\n", "\n", "plt.title('Average Total Precipitation (tp) for June-July-August Across Years (Log Scale)')\n", "plt.xlabel('Longitude')\n", "plt.ylabel('Latitude')\n", "plt.gca().invert_yaxis()\n", "\n", "lat_vals = heatmap_data.index.values\n", "lon_vals = heatmap_data.columns.values\n", "\n", "# Map city lat/lon to heatmap indices\n", "pin_y = [np.argmin(np.abs(lat_vals - lat)) + 0.5 for lat in pin_lat]\n", "pin_x = [np.argmin(np.abs(lon_vals - lon)) + 0.5 for lon in pin_lon]\n", "\n", "plt.scatter(pin_x, pin_y, s=5, c='yellow', label='States')\n", "\n", "# Add city names as labels\n", "for x, y, city in zip(pin_x, pin_y, states):\n", " plt.text(x, y, city, fontsize=8, ha='left', va='bottom', color='orange')\n", "\n", "plt.legend()\n", "\n", "plt.tight_layout()\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.12" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 4 }