Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit398-05-20030127_073300_20030127_121700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/27 |
Start Time | | 2003/01/27 07:33 |
End Time | | 2003/01/27 12:15 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 21.03 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.97 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 117.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit398-05-20030127_073300_20030127_121700-constBx0 |
Minimum Dst Value | | -17 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAwNDoyNjo1OCBFU1QgMjAxOb5fo3UAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzOTgtMDYtMjAwMzAxMjdfMTIxODAwXzIwMDMwMTI3XzE3MDIwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMiB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMy0wMS0yN1QxMjoxODowMC4wMDBaIiwgIm1heCI6IjIwMDMtMDEtMjdUMTc6MDA6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MDksICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjoxLjA1ODk4OTk5OTUsICJtYXgiOjYuMTg1MjEwMDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfX/yN2sAAAAEZ0FNQQAAr8g3BYrpAAAhZElEQVR4nO3de3AV5fnA8SiXhKTll0BKmkgiMcVKB6g66qAEhAh4oSjajg2FBJDatAgjbVGw3Jq2QtspjDoUtDTtOAMK2MGMFug4VtqRWhkoQ5saiqgQwBKuEYImIJDfM9npzvHdy7mw77Jn9/v5g9mzZ6/Ps7vPs+dsOBkdAAAA8FTG5d4AAACAsKHBAgAA8BgNFgAAgMdosAAAADxGgwUAAOAxGiwAAACP0WABAAB4jAYLAADAYzRYAAAAHqPBAgAA8BgNFgAAgMdosAAAADxGgwUAAOAxGiwAAACP0WABAAB4jAYLAADAYzRYAAAAHqPBAgAA8BgNFgAAgMdosAAAADxGgwUAAOAxGiwAAACP0WABAAB4jAYLAADAYzRYAAAAHqPBAgAA8BgNFgAAgMdosAAAADxGgwUAAOAxGiwAAACPpX2DlZGR9rsAAP7TcfF86623+vfvH3fJOlZ9uWoBNQhO0v7IcDq4OegBwIWOi2R5efmGDRsuy6ppsDwUyp3yX9oHMdlbpY0bNw4fPjwzM7OwsHDy5MnNzc3G+JaWlurq6l69euXn5y9atMic/v333//a176W20kG5KXtWi5evPj444/LNHl5eXPnzpWX5lu7du0aM2ZMTk5OUVFRXV2d7eybN2+uqKjIysqSrZo2bdrx48fdF+s03mnvXDYv438S2Z6Mz+rZs6dz4JNeuNP0TilINjhE3mkhThvpVXB847S/V1xxRUFBQWVl5cGDB11mT2H7Dx8+PH369H79+nXr1k3muuuuu+RIsN0YZaQMfOUrX4ldhQwPGDAgdgLzrd27dz/wwANyderevftNN9300ksvGeM/+ugj2c7+/fv36NFD1n7fffe9/vrrcbfZujEpT2AlB1V7e/ulrzoFunsCpyyktl5PttblWurtihJEW6ZI+3Ake40YOXKk3GBJO3X69Ona2lo5Oo3xU6ZMketvc6cHH3zwd7/7nTH+1ltvnTdvXkunJ554Ql7aruXZZ5+98cYbP+gkA6tWrTLG79mzp7i4ePXq1SdPnmxqapowYYLt7KNHj960aVNra+uRI0dqamrGjh3rvlin8U575zS9U5SctifWsmXLZs+ebbs7l7hwZXqnFCQbHFuRirzTQpw20qvg+MbaYBkDFy5c+PDDD3/4wx+Wl5e7zJ7s9h86dOjqq6+WxTY2Nn7yySdS3l599dU777zTdmOUkTIgRfqVV14x33r55ZdljLXBevfdd6U7/NWvfiUXEOld3n777a9//evGW7Kuhx9+WCY4e/bs0aNH161bd/vtt7tvs+3GpDxByrOkXYPlkoXL2GAlcrmgwbqMghsOOYgfffTRgk4yYN4VSQqlNvTt21fuSo2Xv/jFL/r06SM3Fo888ohcaMzJOj57y25dhRyX2dnZxnDv3r3lGDWGpccyL8QygZRMY/jUqVPm9Aqp+nKgG8MyMHToUGNYOqrly5cnteOyupycHPfFOo132ru407ucGLHbY5I4l5aWSoFJZI+SXbgyvVMKLiU4cTcm3JFXFpLITnkVHPHpp58uWLCgpKQkNzdXKpYx0uV8X7lypfQxcps+ZMiQhoYGY/zrr79+ww03yEh5y+iErCe7svsfffRRjx49ZOC73/2ueQcl6urqZIz79ttG8qGHHpKO33YfnWaJ3bb169fHrkL27qWXXrJu/Le+9a2f/exntquQ3ZGdctqA2JW6XCQ7HILvfvFMdhbrdds2rU6HQSy5a5XmRvalZ8+e999//7FjxxLZHfeVygEgC5TpJVC2++uSBafjzXyZyLEq9wA//elP+/Xrl5eXN3Xq1DNnztjGzYXTtdR6UsQuMG4wnTbMehZb15VIER82bNiLL75obrD0r4WFhYkc1WkhuA2WJG/UqFEHO40cOXLhwoXGeMnNfffdJ/ej5kuZ7FAnGfjxj39sjlcGFHKgLFmyxGz5pcGSW0BjWDotOWiM4W984xuyasl3S0vL/Pnz5aXt0uToNA9NWY45uxxYsiNyxMgRXF1dLQuJu+P19fUjRoxwX6zTeKe9izu9S5mP3R6TXCbkZIu7L6ktXJneKQUpByeRjQl35JWFJBIxT4JjkEIli3rvvfdOnjw5a9YsY6TL+T5+/Ph9+/ZJYGtra82ORM6pP/zhD3LJlivytGnTbPc3tkgcPnx4zpw5xgc80mEMHz583bp1Mrx27VoZPnfunPv220ZStkHqk+0+Os0Se12Srerfv//f/vY3ebllyxYZljHWC5dcQ5yeTLj77rsffPDBrVu3fvLJJ06b0ZHARdIl+E7LTHYW63XbNq1Oi401ePDgN954Q3ZZrgkzZsz49re/nfju2K5UrioSyQ87jRkzxnYXXLIQt8FK5FhdunTpHXfc8cEHH8hJMWnSpB/84Ae2cXNhe7mw3arYBcYNptOG2Z7FyroSKeJ/+tOfBgwYIEe+8ZbE5+c//3ncnU0XwW2wrrnmmnfeeccYlluNsrIyY1hys3//fnMyeWlO9u9//zt2MmUgltFlyy3d3r17jTFVVVUTJ0480kluVrp27WqMN74FMKaXAacD/corrzSu0UIGunTpYgzLgByUxmIrKyunTJnivtc7d+4sLS01r9pOi3Ua77R37tM7Rcm6PQY5Ga699trGxkb3fUlt4dbpnVKQWnCcRCfy1oXE3UhPgmP60pe+ZH54YHI536U3MoY//vhj4yMoUVxc/Mwzzxw4cMBlfzM+S27B5RJhvNXc3Cx7NHfuXPnXfGAu2SNHrhKxnY31owLrLMq7zz333L333tvR+WXfb37zG+sExlra2tpsN+DUqVNSw7761a9mZWVJAGfPnm176x/3IukSfKd9T3YW63XbNq1Oi3UiEejbt2/iu+O00t27dxvDMqPtLrhkIW6Dlcixet111/3nP/8xhuWAlAudOVls3Jw4XUttt8ppgbbBdNow27NYWVeCRfzmm29es2ZNR+f3sLIBkhrXfU0nwW2w5JJhHtAyIC+NYcmN8qSw02TKgEIOpkWLFg0bNsx4eeLECemr5BIsdypPPvnkF7/4RWO8NOBPPPGE+QCQvDQXG3sxdbmnj/1gLD8/33Z2g9zFlpSUbNu2zRyT8kcFyt6l9jmKdXsMctM/btw46/ROklq4dXqnFHj4CVakIm9diPtGXnpwlKM99tQ2uZzvtnv0j3/8Y/z48b179+7fv7/5vZ7TxMb2zJs3z3w2Tsj9tExgfkcZNw5WcpVwuT3o1q2b8g2X7Jf0cLGTyQSFhYUvvPCC/Gt+y6Ysx+WzE5NcEqVzmjx5stNTOO6xTTD4sZKdxXrdVt51X2ys7du3Sx7lWm0cVGYfnOzuxE5vZkqmt92FS/kEK5FjVbq92JuB2OMk7l/GuFxLbbcqdoFxg+m0YbZnsbKuBIt4fX39l7/85fPnz0+YMEE6Udu9SFPBbbASvEOKvTmTAetkLl9dSy20fmktfv3rX0uzZQzL4XUpz2CVl5fHPtplNlhWUvaKiop27NiRyGITedgldu9SeBLIdnsM119//datW512xCqphVund0qBV89gRSrytgtx2UjPgyOkzCT1CZbLHsll+o9//KN5O6Sc7MrEchSZH1rs2rVL7pU3bNhw1VVXmR83JnvkSEMzd+5cZaS50gEDBrz99tuxb/3973/v16+fMtmSJUu6du1qfi1irdZyLVq8eLH7lhjkDuTzn/+8dXzci6RT8F0unil8gpXIy0Q+wZKRzz//vNwSS0mWf60RS/ZYSuQTLJcsxDZq5qcvhw8fTupYlQ5j3759Lgt34n4tta5IWWDcYDptmO1ZrKwrwURIZAYNGvTYY4/J2WE+IBgOwW2w5HbT/PpWWuz58+cb460nyZgxY4zHC2TA+ijAF77whdhvQ6qqquTluXPnDhw4MGPGDPOGb+LEibIiuUK9+OKLxcXF5oeics2VVRsfn/zoRz9yuuauXLnS9u+P6urqzG8eKysrnZ6eWbp0qdyCmCd53MU6jXfaO6fpY8OYyPZ0dP5/BLfddpvtXjhJfOG20zulINng2IpU5J0W4rSRXgVH8eSTT44YMeL999+PfXoj8fPdGJCzSa7dcjmWoiUFxhipnOyx8x4/fnzBggVDhgzp6HxOTi7of/3rX2X4lVdeueGGG4xv+ly237bO7d+/X1Zt/hWh7M6rr75qTin3abKWv/zlL6c6bdmyZeDAgb/85S9dFthh12C9++67UpWXLVsmkWlvb9+2bZv592u33377unXr5M5NDjzZ5pqamrvvvtt2me4XSafgK/GMlWC+nALo9NJpsbEkGi+//LKEQg4hCYU1YskeSzK9+QzWnXfeabsLLlkwp5dLU21trRxdkot77703qWP1qaeekm2WMTLZv/71r29+85vu8TTEvZZaV6QsMG4wnTbM9ixW1pX4QSJtooz87W9/GzsybnMZfMHdgba2tpkzZxp/gCAD5ieN1pPE+AOZvLy8733ve7F/p2AMyCGYm5trvly/fv3gwYO7d+8uXZRcj6RnN8ZLJySHfnZ29ujRo3fu3GkuX86ru+666/86yUn43nvv2W6t9ODSgBv/V9OcOXNiP/+Uy1l+fr5sntRgp4fcMyxaW1tdFus03mnvXDZPWa/79nR0fiZXX19vuxdx9yvuwm2nd0pBssEh8k4LcdpIr4KjkG5AGuW+ffvKSSEVyxiZ+PluDMiNkNxbZ2VlSXv0xhtvGCOVkz12y3v16iU1zzh4qqurjQeeDLINxp2Pe7Js96Wpqemhhx6SS0fXrl179+59//33v/XWW2Y0fv/73990003GoSsDzz//fNwFZlgqnJCiJUuWrZID7Oabbzb/B6Y///nPMl7CKHEoLS195JFHzANPWab7RdIp+Eo8YyWYL6f9dXrptNhYcpMgqe/WrZv0Fs8884w1YskeSzLBd77zHQmOhOgnP/mJLNl2F5yyYC6noaFBOnjjrwVXrFiR1LF64cIF2ZfrrrsuMzNT+nLzJHWKp/mu0+XCZD0pkgqm04bZnsXKuhI/SCSY/fv3//TTT5W9c9n3tJD2OwAAcBGCQuWbf/7zn9KqXu6tuMzOnz9v/pmXP8aNG/fCCy/4uUZ/cOIBQJjRYMU1a9asw4cP79+//4477vj+979/uTfnMtu+fbv514K6Xbhw4bnnnhs0aJD5PzWECSceLpX1Y+oAXtDTYiOTFcqdguc4KuJ66qmn+vbt26dPn4cffjhM/01Aaj73uc+tWLHCn3XJwdmvXz9p6fxZnc848QAAADxGgwUAAOAxGiwAAACP0WABAAB4jAYLAADAYzRYAAAAHotKg2X7B+0AAMArl7vUB0tUwkHiAQDQhzqriEo4SDwAAPpQZxVpEI5du3aNGTMmJyenqKiorq4utYWQeAAA9KHOKoIejj179hQXF69evfrkyZNNTU0TJkxIfF6+GwYAwB/UWUXQwyEd1fLlyy99OSQeAAB9qLOKoIejoKBgwYIFhYWFvXr1qq6ubmlpSW05JB4AAH2os4qgh6NLly6TJk060qmysnLKlCkuE/PnowAAXBbUWUXQw9GzZ8+jR48aw9Jj5efnp7YcEg8AgD7UWUXQw1FeXi59lTHc3NxMgwUAQABRZxVBD0ddXd3EiRPNrwinTp1qvpVULkk8AAD6UGcVaRCOhQsX5ufn5+XlVVVVxT7kHjeXPIMFAIA/qLOKqISDxAMAoA91VhGVcJB4AAD0oc4qwhwOviIEAMAf1FlFVMJB4gEA0Ic6q4hKOEg8AAD6UGcVUQkHiQcAQB/qrCLM4eAZLAAA/EGdVUQlHCQeAAB9qLOKqISDxAMAoA91VhHmcPAVIQAA/qDOKqISDhIPAIA+1FlFVMJB4gEA0Ic6q4hKOEg8AAD6UGcVYQ4Hz2ABAOAP6qwiKuEg8QAA6EOdVUQlHCQeAAB9qLOKqISDxAMAoA91VhHmcPAMFgAA/qDOKqISDhIPAIA+1FlFVMJB4gEA0Ic6qwhzOPiKEAAAf1BnFVEJB4kHAEAf6qwiKuEg8QAA6EOdVUQlHCQeAAB9qLOKMIeDZ7AAAPAHdVYRlXCQeAAA9KHOKqISDhIPAIA+1FlF0MNxKV/z8RUhAAD+oM4qgh4OrxJG4gEA0Ic6qwh6OGiwAAAIPuqsIujhkITl5+dnZ2cPHDjw6aefPn/+fMrL8XbDAACAiTqrSI9wtLe3b9++fejQobNmzXKZLMOVb1sLAEDUUGcV6RSOpqam3Nzc1OYl8QAA6EOdVaRTOA4ePFhQUJDavCQeAAB9qLOKoIejsrKyoaHh7NmzjY2No0aNmjlzpvlW3FzyFSEAAP6gziqCHo7169cPHjw4MzOzrKxs3rx5bW1t5ltJ5ZLEAwCgD3VWEZVwkHgAAPShziqiEg4SDwCAPtRZRZjDwTNYAAD4gzqriEo4SDwAAPpQZxVRCQeJBwBAH+qsIirhIPEAAOhDnVWEORw8gwUAgD+os4qohIPEAwCgD3VWEZVwkHgAAPShzirCHA6+IgQAwB/UWUVUwkHiAQDQhzqriEo4SDwAAPpQZxVRCQeJBwBAH+qsIszh4BksAAD8QZ1VRCUcJB4AAH2os4qohIPEAwCgD3VWEeZw8BUhAAD+oM4qohIOEg8AgD7UWUVUwkHiAQDQhzqriEo4SDwAAPpQZxVhDgfPYAEA4A/qrCIq4SDxAADoQ51VRCUcJB4AAH2os4owh4OvCAEA8Ad1VhGVcJB4AAD0oc4qohIOEg8AgD7UWUVUwkHiAQDQhzqrSI9wHDt2rLi4ONnk8QwWAAD+oM4q0iMc06dPX7x48aUkj8QDAKAPdVaRBuFobGwsKytra2ujwQIAIJios4o0CMc999yzZs2ajktLHokHAEAf6qwi6OF47bXXbrnllosXL3YkkLwMV75sLwAAUUSdVQQ9HIMGDXrzzTeNYT7BAgAgmKiziqCHw6sPokg8AAD6UGcV6RQOJXnJfmOoc9MAAIg06qzCv3C0tbXNnz+/rKwsKytL/l24cGF7e3tSS0i2wUp5YgAAkBTqrMK/cMycObOioqKhoUE6Lfl35MiRjz76qG9rJ/EAAOhDnVX4F46CgoKDBw+aL2VYxvi2dhIPAIA+1FlFmBssnsECAMAf1FmFr18Rjho16p133mlra5N/ZZivCAEACAfqrMLXh9znzZt3zTXXZGVlyb8LFixI9iH3S0HiAQDQhzqrCHM4+IoQAAB/UGcVUQkHiQcAQB/qrMK/cDQ0NAwdOrRHjx6X5VMlEg8AgD7UWYV/4RgyZEhtbe3HH3/s2xpjkXgAAPShzir8C0dWVtaZM2d8W10Hz2ABAOAX6qzCv3BcffXV+/bt8211ChIPAIA+1FmFf+FYsWLF+PHjDx8+7NsaY5F4AAD0oc4q9IYjIx4/1651XQAARBl1VhGVcJB4AAD0oc4q/AvHFVdc4du6rEg8AAD6UGcV/oXjqquu+u9//+vb6hQkHgAAfaizCv/CsWzZsgceeGD//v0XL170Z408gwUAgD+oswpf/y91nx9yV9bu27oAAIga6qwiKuEg8QAA6EOdVYQ5HHxFCACAP6iziqiEg8QDAKAPdVYRlXCQeAAA9KHOKqISDhIPAIA+1FlFmMPBM1gAAPiDOquISjhIPAAA+lBnFVEJB4kHAEAf6qwi6OHYuHHj8OHDMzMzCwsLJ0+e3NzcnNpySDwAAPpQZxVBD8fIkSM3bNjQ0tJy+vTp2traioqKxOflGSwAAPxBnVWkUzhaW1uzs7NTm5fEAwCgD3VWkTbhOHPmzJIlS8aOHZva7CQeAAB9qLOK9AiH8R1fnz599u7dG3cyJ75tLQAAUUOdVaRNOE6dOrVo0aJhw4alNjuJBwBAH+qsIp3CIT1WTk5OavOSeAAA9KHOKoIejqqqqsbGxnPnzh04cGDGjBmxz2AllUsSDwCAPtRZRdDDsX79+sGDB3fv3r24uLimpubEiRPmW3FzyTNYAAD4gzqriEo4SDwAAPpQZxVRCQeJBwBAH+qsIszh4CtCAAD8QZ1VRCUcJB4AAH2os4qohIPEAwCgD3VWEZVwkHgAAPShzirCHA6ewQIAwB/UWUVUwkHiAQDQhzqriEo4SDwAAPpQZxVhDgdfEQIA4A/qrCIq4SDxAADoQ51VRCUcJB4AAH2os4qohIPEAwCgD3VWEeZw8AwWAAD+oM4qohIOEg8AgD7UWUVUwkHiAQDQhzqriEo4SDwAAPpQZxVhDgfPYAEA4A/qrCIq4SDxAADoQ51VRCUcJB4AAH2os4owh4OvCAEA8Ad1VhGVcJB4AAD0oc4qohIOEg8AgD7UWUVUwkHiAQDQhzqrCHM4eAYLAAB/UGcVUQkHiQcAQB/qrCIq4SDxAADoQ51VBD0cmzdvrqioyMrKKiwsnDZt2vHjxxOfl68IAQDwB3VWEfRwjB49etOmTa2trUeOHKmpqRk7dmxqyyHxAADoQ51VpFM4Tp8+nZOTk9q8JB4AAH2os4p0Ckd9ff2IESNSm5fEAwCgD3VWkTbh2LlzZ2lp6Z49e1ymyXDl26YCABA11FlFeoRjy5YtJSUl27ZtS3kJJB4AAH2os4o0CMfatWuLiop27NhxKQsh8QAA6EOdVQQ9HEuXLi0pKdm9e7f1rbi55CtCAAD8QZ1VBD0c1kepWltbzbeSWo6eDQQAANRZVVTCQeIBANCHOquISjhIPAAA+lBnFWEOB89gAQDgD+qsIirhIPEAAOhDnVVEJRwkHgAAfaiziqiEg8QDAKAPdVYR5nDwDBYAAP6gziqiEg4SDwCAPtRZRVTCQeIBANCHOqsIczj4ihAAAH9QZxVRCQeJBwBAH+qsIirhIPEAAOhDnVVEJRwkHgAAfaizijCHg2ewAADwB3VWEZVwkHgAAPShziqiEg4SDwCAPtRZRZjDwVeEAAD4gzqriEo4SDwAAPpQZxVRCQeJBwBAH+qsIirhIPEAAOhDnVWEORw8gwUAgD+os4qohIPEAwCgD3VWEZVwkHgAAPShzirCHA6+IgQAwB/UWUVUwkHiAQDQhzqriEo4SDwAAPpQZxVRCQeJBwBAH+qsIszh4BksAAD8QZ1VRCUcJB4AAH2os4qohCMDAADodLlLfbAQjhT5cyT5sJbQ7Ig/a2FHgraW0OyIP2thR4K2ltDsiG9rSSOEI0WhOV5DsyP+rIUdCdpaQrMj/qyFHQnaWkKzI76tJY0QjhSF5ngNzY74sxZ2JGhrCc2O+LMWdiRoawnNjvi2ljRCOFIUmuM1NDviz1rYkaCtJTQ74s9a2JGgrSU0O+LbWtII4Yg6TokAIilBQ0aChowEEElREI6o45QIIJISNGQkaMhIAJEUBeGIOk6JACIpQUNGgoaMBBBJURCOqOOUCCCSEjRkJGjISACRFAXhiDpOiQAiKUFDRoKGjAQQSVEQDgAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDFTYZ/xM7cuPGjcOHD8/MzCwsLJw8eXJzc7N1xosXLz7++OO5ubl5eXlz586Vl+7jkTjbpBiOHTtWXFzs9P/HkBRNbDOS8Vm2M5IRTZzCvmvXrjFjxuTk5BQVFdXV1VlnJCP6JHKa9OzZ0zojSTHQYIWTckqMHDlyw4YNLS0tp0+frq2traiosM7y7LPP3njjjR90koFVq1a5j0eybGv29OnTFy9e7FTOSYpW1soRdxYyopWSgj179sjtx+rVq0+ePNnU1DRhwgTrLGREN5fzYtmyZbNnz7aOJykGGqxwcjklWltbs7OzrVPeeuutmzZtMoZlYOjQoe7jkSxrUhobG8vKytra2pwqPUnRKvEGi4z4Q0mBdFTLly93n5KM6OZ0Xpw9e7a0tPTQoUPWKUmKgQYrnJxOiTNnzixZsmTs2LHWKXv27Hns2DFj+OjRo7m5ue7jkSxrUu655541a9ZY3yIp/rCGPT8/X24/Bg4c+PTTT58/f946JRnRSslIQUHBggULCgsLe/XqVV1d3dLSYp2SjOjmVE1WrVo1depU2ylJioEGK5xsTwnjK/M+ffrs3bvX+u6VV1557tw5Y1gGunTp4j4eyVKS8tprr91yyy3GUwhOlzCSopVt2Nvb27dv3y731rNmzbK+S0a0UjIiYZw0adKRTpWVlVOmTLHOQkZ0sz1NLly4cO211zY2NtrOQlIMNFjh5FSwT506tWjRomHDhlnf4p5DNyUpgwYNevPNN23fMpEUrVy+E2xqarKNKhnRSsmIRFWCaQxLj5Wfn2+dhYzoZnuarF27dty4cU6zkBQDDVY4uVQO6bFycnKs4/nWXDf3P8axTRlJ0crlNDl48GBBQYF1PBnRSslIeXm59FXGcHNzs22DRUZ0sz1Nrr/++q1btzrNQlIMNFjhpJwSVVVVjY2N586dO3DgwIwZM2yfwVq5cqXt33c4jUeyEnmGWnlJUrRSwl5ZWdnQ0HD27Fk5WUaNGjVz5kzrlGREKyUjdXV1EydONL8ijH3ih4z4xnrh2rhx42233eYyJUkx0GCFje2HIuvXrx88eHD37t2Li4trampOnDgRO70xcPHixcceeyy305w5c2L/5xLb8Uhc3E+qnBoskqKJy2mSmZlZVlY2b968tra22OmNATKiidM5snDhwvz8/Ly8PLlLtH3InYzo45SU8vLy+vp62+mNAZJioMECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEarFDZvHlzRUVFVlZWYWHhtGnTjh8/boxP9qc3E/lxaJfZO1x/3jju1ipPVtr+mCgAAEFGgxUqo0eP3rRpU2tr65EjR2pqasz/jiHZn95M5MehXWY3uTdYTlsby+nHRAEACDIarNCS3sj8D0Uv5b99U34cOlbc2d0bLKetNVl/TBQAgLRAgxVa9fX1I0aMMIZT/uEC649Dx4o7e+INVuzWmqw/JgoAQFqgwQqnnTt3lpaW7tmzx3iZ2k9vGo9AOf04dNzZOxJusJStNbj/mCgAAEFGgxVCW7ZsKSkp2bZtmzkm5U+wlB+HVh5dT/YTLNsn361ba3D/MVEAAIKMBitspC8pKirasWNH7MhLeQbL6cehE5k97idYtltrcP8xUQAAgowGK1SWLl1aUlKye/duZXyyP73p8uPQiSzW5N5gOW1th/OPiQIAkBZosEIlw6K1tbUj+Z/edPlx6Fguv9wZ9+eNXba2w/nHRAEASAs0WAAAAB6jwQIAAPAYDRYAAIDHaLAAAAA8RoMFAADgMRosAAAAj9FgAQAAeIwGCwAAwGM0WAAAAB6jwQIAAPAYDRYAAIDHaLAAAAA8RoMFAADgMRosAAAAj9FgAQAAeIwGCwAAwGM0WAAAAB6jwQIAAPAYDRYAAIDHaLAAAAA8RoMFAADgMRosAAAAj9FgAQAAeIwGCwAAwGM0WAAAAB6jwQIAAPDY/wNM6JRu3zy92gAAAABJRU5ErkJggg==)
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