Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit388-06-20030103_171800_20030103_220300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/03 |
Start Time | | 2003/01/03 17:18 |
End Time | | 2003/01/03 22:01 |
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 | | 15.77 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.20 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit388-06-20030103_171800_20030103_220300-constBx0 |
Minimum Dst Value | | -33 |
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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAxMjozMDo1MiBFU1QgMjAxOUCgr7AAAAHPdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzODgtMDctMjAwMzAxMDNfMjIwNDAwXzIwMDMwMTA0XzAyNDkwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMiB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMy0wMS0wM1QyMjowNDowMC4wMDBaIiwgIm1heCI6IjIwMDMtMDEtMDRUMDI6NDc6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MDksICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjo2LjMzMDgwNDk5OTUsICJtYXgiOjEzLjYxOTI5NTAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX0I3aU2AAAABGdBTUEAAK/INwWK6QAAIQhJREFUeJzt3XuQ1fTZwHHkuiwt7y5YcJEFVoqVTqHKqANyERAURBStQ6kUUKndVnG0LVe5lbZA2ymM44yApdjxD+ViB3e0QMex0o7UykiZttRFboKA5d4FFl1cBd7n3bxvJu9zkpzk7C8h5+T7+YPJZpNfkufJyfOc5CynySUAAAAY1eRy7wAAAEChocECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMCzvG6wmTfL+EAAgflFcPN9+++0ePXpkHTmKTV+uWkANgpe8PzO8Tm5OegDwEcVFcsCAAevXr78sm6bBMqggDyp+eR/EsG+VNmzYMGjQoFatWpWVlU2aNOno0aPW/H379t11110lDWRCfvSfr1y8eHH69OmyTGlp6cyZM+VHe+tObdu2dV1906ZNQ4cOLSoqkr2aPHnyyZMn/Yf1mu91dF7LO/cwyOF4jR/qoMIerOXEiRPl5eXO/QwbnLyOvFcQXHkN4nWwXoPX1NRMnDixXbt2V1555fz587OOHyryUVCRsSN8xRVXdOzYcdy4cYcOHfJZPYf9P3LkyKOPPtqtW7cWLVrIWiNGjJAzwXVn1EyZ+OpXv+rchEz37NnTuYD9q507d953332SiJYtW954440vv/yyNf/06dOynz169GjdurVs/Z577nnjjTey7nPmzuS8QCa5xJ0/f77xm85B1D2BVxZy266RvfV/RRvcUEC0ZUrehyPsNWLIkCHyBksqx9mzZxcsWCBnpzW/X79+s2fPrmkwa9Ys+dF/vrJixYo+ffp80EAmVq5cmbnM0qVLp06d6rr68OHDN27cWFtbe+zYscrKylGjRvkP6zXf6+iy7p6KUtjxQx1U2IO1SBlbtGiRcz/DBievI+8VBFdeg3gdrNfgDz74oDQlRxuMHTv2+eefzy04sclssKyJCxcufPTRRz/60Y8GDBjgs3rY/T98+HDXrl1l2Orq6k8++UTK22uvvXbHHXe47oyaKRNSpF999VX7V6+88orMyWywdu/eLd3hr371qw8//FB6l3feeecb3/iG9SvZ1iOPPCILfPrpp8ePH1+7du2tt97qv8+uO5PzAjmvkncNlk8WLmOD5f+KNrihgGiwlOSGQ07iJ554omMDmbDfFUkKpVPp3LmzvCu1fvzFL37RoUMHeWPx2GOPyYXGXuzS/7+BlLkJOS+Li4utaZmQ0mhNnzlzJut8RRovOdGtaZno37+/WkB2rKKiQq7IWQ9cNtemTRv/YbNuTh1d1uVVfMKOH+qgvOb7bFQKWPfu3evq6pz72ZjgZN3JBEbeNQiuguykyojr4O3bt5cLtzUtPZbdnTQy8p999tncuXO7dOlSUlIiFcua6fN6X758ufQx8ja9b9++O3bssOa/8cYbN9xwg8yUX1mdUOaLXQXq9OnTrVu3lonvfe97drMoVq1aJXP899815g8//LC86XI9Rq9VnPu2bt065ybk6F5++eXMnX/ggQd+9rOfuW5CDkcOymsHnBv1uUhe8gi+/8Uz7CqZ123XtHqdBk67du2S5kaOpW3btvfee++JEyeCHI7/RuUEkAFleQmU6/H6ZMHrfLN/DHKuynuAn/70p926dSstLX3ooYfOnTvnGjcfrtdY1xeFc8CswfTascxXcea2ghTxgQMHrl692t5h6V/LysqCnNV5IbkNliRv2LBhhxoMGTJk3rx51nzJzT333CPvR+0fZbHDDWTixz/+sT1fTShyoixevNhu+e+//37ZhOS1pqZmzpw58qP/fEXOTvvUlLeScs6pBeR1JWdnkAOvqqoaPHiw/7BZN6eOLuvyKkphxw91UF7zfTZ65513vvjii2o/cw5OkJ1MYORdg+AqSARURlwHlwZLVrempdPKGoSAkZdCJZveu3fvf/7znyeffNKa6fN6HzNmzP79+yWwCxYssDsSuQr/7ne/k0u2XJEnT55sL+zckLNIHDlyZMaMGdYNHukwBg0atHbtWples2aNTNfX1/vvv2vMZR+kPrkeo9cqzuuS7FWPHj3+8pe/yI+bN2+WaZmTeeGS4uT1yYSRI0eOHTt2y5Ytn3zyidduXApwkfQJvteYYVfJvG67ptVrWKfevXu/+eabcshyWZ4yZcp3vvOd4IfjulG5sEskP2pw++23ux6CTxayNlhBztUlS5bcdtttH3zwgbwovv3tb//whz90jZsPr2ts5l45B8waTK8dc30Vq20FKeJ/+MMfevbsKWe+9SuJz89//vOsB5svkttgXXPNNe+99541LW815O21NS25OXDggL2Y/Ggv9q9//cu5mJpwsrpseUu3Z88ea451t9+aLxP2+ec1X2natKl1jRYy0axZM+dv5ey59tprq6ursx719u3bKyoq7Ku217D+m8s8Ov/lL2VEKez4oQ4q7MG+/vrrN998s/VpFed+5hacgDuZtMh7BcFV1o2qg/UafMKECePHjz/WQN7BN2/evDHBsX35y1+2bx7YfF7v0htZ0x9//LF1C0qUl5c/88wzBw8edA6SWUuc5C24XCKsXx09elQiMHPmTPnX/sBc2DNHAuLsbDJvFWSuon773HPP3X333ZcaHvb9+te/zlzA2kpdXZ3rDpw5c0Zq2Ne//vWioiIJ4NSpU13f+me9SPoE3+vYw66Sed12TavXsF4kAp07dw5+OF4b3blzpzUtK7oegk8WsjZYQc7V66677v3337em5YSUWmMv5oybF69rrOteeQ3oGkyvHXN9FattBSziN910k/Xubvfu3bIDkhrfY80nyW2w5JJhn9AyIT9a05Ib9Ulhr8XUhCIn0/z58wcOHGj9KI32rFmz7M9ayY/+89XF1P+9u7xLHj16tHOOWt0i72K7dOmydetWe07OtwrU0Rm/g6XG95F5UGEPtlevXm+99Vbmfhq8g5X8yHsFwZX/RjMP1mvwU6dOSV8lfYm8fV+4cOFVV13lP77XfHW2O1/aNp/Xu3Mx+8e//e1vY8aMad++fY8ePeznel4LW/sze/Zs56cG5f20LGA/o8wat0wSkMySZm+0RYsW6gmXHJf0cM7FZIGysrKXXnpJ/rWfsqlxfO6d2OSSKJ3TpEmTvD6F4x/bgMF3CrtK5nVb/dZ/WKd3331X8iinpXVS2X1w2MNxLm9nyusRfGPuYAU5V6Xbc74ZcJ4nWf8yxusa67VXzgGzBtNrx1xfxWpbAYt4VVXVV77ylc8///xb3/qWdKKuR5GnkttgBXyH5HxzJhOZi/k8upZaaD+0ltPI9bNWXvMV/0+fXH/99Vu2bPE93P9pwjp16rRt27Ygwwb5sIvz6KL4DJZz/FAH5TXfa6NNMvgvH/YzWHkRea8guPLZqOvBBhn82WeflWbLf/yAkZcyE+oOltpV549ymf79739vd37qxa4WlheyfdPi73//u7xXXr9+/dVXX23fbgx75khDM3PmTDXT3mjPnj3feecd56/++te/duvWTS22ePHi5s2b249FMqu1hH3RokX+e2KRN4Ff/OIXM+dnvUh6Bd/n4pnDHawgPwa5gyUzX3jhBen+pSTLv5kRC3suBbmD5ZMFZ6Nm3305cuRIqHNVOoz9+/f7DO7F6xpr839RZA2m1465vorVtgImQiIj7/GmTZsmrw77A4KFIbkNlrzdtB/fSos9Z84ca37mi+T222+3Pl4gE5kfBfjSl77kfDY3YcIE+bG+vv7gwYNTpkyx3/DJtVU2Yd2peuqpp5w1w3W+snz5cq+/P9qwYcMtt9zif7BLliyRtyD2izzrsF7zvY7OZ/dcoxp2/FAHFfZgvfYzbHBC7WTSIu+zSiavQbwO1mvw8ePHy6tPzvzVq1eXl5fbTwoaGfmFCxcOHjx43759zk9vBH+9WxPjxo2Ta7dcjqVoSYGxZqoXu3PdkydPzp07t2/fvpcaPicnF/Q///nPMv3qq6/ecMMN1pM+n/13jfmBAwdk0/ZfEcrhvPbaa/aS0pLKVv70pz+dabB58+avfe1rv/zlL30GvOTWYO3evVuq8tKlSyUy58+f37p1q/33a7feeuvatWuPHj0qJ57sc2Vl5ciRI13H9L9IegVfxdMpYL68Auj1o9ewThKNV155RUIhp5CEIjNiYc8lWd7+DNYdd9zhegg+WbCXl+qwYMECObskF3fffXeoc/Xpp5+WfZY5stg///nPb37zm/7xtAR5Rfu8KC4FCKbXjrm+itW2gp8k0ibKzN/85jfOmVkvdMmX3AOoq6t7/PHHrT9AkAn7TmPmi8T6A5nS0tLvf//7zr9TsCbkFCwpKbF/XLduXe/evVu2bCkFQ65H0rNb8+X1M2LEiP9qIC+2vXv3+s9XpAeXBtz677JmzJjhvP85YMCAqqoq/4PNvIVQW1vrM6zXfK+j89k911sXYccPdVBhD1aNmTXmQcbJu8h7BcGV1yBeB+s1+KpVq6QeFBcXDx8+fPv27aYiL92AvFfp3LmzvGalYlkzg7/erQnp+eS9dVFRkbRHb775pjVTvdidR9quXTupedbrd+LEidYHniyyD9YfoPgny/VYPvzww4cfflii1Lx58/bt2997771vv/22HY3f/va3N954o3X1kIkXXngh64BNMircpYa/8ZSRZa/kBLvpppvs/4Hpj3/8o8yXMEocKioqHnvsMdeXZJNsF0mv4Kt4OgXMl9fxev3oNayTvGWV1Ldo0UJ6i2eeeSYzYmHPJVngu9/9rgRHQvSTn/xERnY9BK8s2OPs2LFDOnjrrwWXLVsW6ly9cOGCHMt1113XqlUr6cvtkuH/Yg/yis58UYQKpteOub6K1baCnyQSzB49enz22Wfq6HyOPS/k/QEAAHwUQKGKzT/+8Q9pVS/3Xlxmn3/+uf0XLfEYPXr0Sy+9FOcW48ELDwAKGQ1WVk8++eSRI0cOHDhw2223/eAHP7jcu3OZvfvuu/ZfC0btwoULzz33XK9evez/qaGQ8MJDY2Xepk7gBT0vdjKsgjwoGMdZkdXTTz/duXPnDh06PPLII4X03wTk5gtf+MKyZcvi2ZacnN26dZOWLp7NxYwXHgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACGpaXBcv2DdgAAYMrlLvXJUsjhIPEAAMSDOqukJRwkHgCA6FBnlUIOB3ewAACIB3VWSUs4SDwAANGhzippCQeJBwAgOtRZpZDDwSNCAADiQZ1V0hIOEg8AQHSos0pawkHiAQCIDnVWKeRw8IgQAIB4UGeVtISDxAMAEB3qrFLI4eAOFgAA8aDOKgkKh2sntGHDhkGDBrVq1aqsrGzSpElHjx7NeXAT+wgAAFxQZ5XEhUNlaMiQIevXr6+pqTl79uyCBQuGDh1qZFgAAGAQdVZJXDh8MlRbW1tcXBxqKB4RAgAQA+qskrhweGXo3LlzixcvHjVqlNlhAQBA41FnlcSFwzVD1i2oDh067Nmzx39dH5HtMgAAaUedVRIXDq8MnTlzZv78+QMHDjQ7LAAAaDzqrJK4cPhkSHqsNm3aGB8WAAA0EnVWSVw4VIYmTJhQXV1dX19/8ODBKVOmOD+DlTWXPCIEACAe1FklQeFw7YfWrVvXu3fvli1blpeXV1ZWnjp1yrl8qMEN7y4AAPg/1FmlkMPBHSwAAOJBnVXSEg4SDwBAdKizSlrCQeIBAIgOdVYp5HDwiBAAgHhQZ5W0hIPEAwAQHeqsUsjh4A4WAADxoM4qaQkHiQcAIDrUWSUt4SDxAABEhzqrFHI4eEQIAEA8qLNKWsJB4gEAiA51VinkcHAHCwCAeFBnlbSEg8QDABAd6qySlnCQeAAAokOdVQo5HDwiBAAgHtRZJS3hIPEAAESHOqsUcji4gwUAQDyos0qCwuHaCW3atGno0KFFRUVlZWWTJ08+efJkzoOb2EcAAOCCOqskLhwqQ8OHD9+4cWNtbe2xY8cqKytHjRplZFgAAGAQdVZJXDh8MnT27Nk2bdqEGopHhAAAxIA6qyQuHD4ZqqqqGjx4sPFhAQBAI1FnlcSFwytD27dvr6io2LVrl/+6PqLZXwAAQIOlJS4crhnavHlzly5dtm7danZYAABgBHVWSVw4MjO0Zs2aTp06bdu2zeywAADAFOqskrhwqAwtWbKkS5cuO3fuzLqk6wI8IgQAIAbUWSVB4XDthzI/SlVbW2v/KtTg5vcYAAA0oM4qhRwO7mABABAP6qySlnCQeAAAokOdVdISDhIPAEB0qLNKIYeDR4QAAMSDOqukJRwkHgCA6FBnlUIOB3ewAACIB3VWSUs4SDwAANGhzippCQeJBwAgOtRZpZDDwSNCAADiQZ1V0hIOEg8AQHSos0ohh4M7WAAAxIM6q6QlHCQeAIDoUGeVtISDxAMAEB3qrFLI4eARIQAA8aDOKmkJB4kHACA61FmlkMPBHSwAAOJBnVUSFA6vTshIh0TiAQCIDnVWSVw4vDJEgwUAQGJRZ5XEhcNgg8UjQgAA4kGdVRIXDu5gAQCQd6izSuLC0ZgGq4kv03sKAAD+F3VWSVw4uIMFAEDeoc4qiQsHDRYAAHmHOqskLhzBG6ysueQRIQAA8aDOKgkKh1c/5DM/1OAm9xUAADhQZ5VCDgd3sAAAiAd1VklLOEg8AADRoc4qaQkHiQcAIDrUWaWQw8EjQgAA4kGdVdISDhIPAEB0qLNKIYeDO1gAAMSDOqukJRwkHgCA6FBnlbSEg8QDABAd6qxSyOHgESEAAPGgzippCQeJBwAgOtRZpZDDwR0sAADiQZ1V0hIOEg8AQHSos4r5cNTV1c2ZM6d79+5FRUXy77x5886fP298K2GReAAAokOdVcyH4/HHHx86dOiOHTuk05J/hwwZ8sQTTxjfShA8IgQAIB7UWcV8ODp27Hjo0CH7R5mWOca3EhaJBwAgOtRZpZAbLO5gAQAQD+qsEskjwmHDhr333nt1dXXyr0wHfETo2gldvHhx+vTpJSUlpaWlM2fOlB9z2ysSDwBAdKizSiQfcp89e/Y111xTVFQk/86dOzfUh9xVhlasWNGnT58PGsjEypUrc9srEg8AQHSos0riwqEy1K9fv40bN1rTMtG/f/9QQ/GIEACAGFBnlcSFQ2Wobdu2J06csKaPHz9eUlJiZFgAAGAQdVYxH44dO3b079+/devWud09Ugs3bdq0vr7empaJZs2a+a/rI4djAQAAQVBnFfPh6Nu374IFCz7++OPcVucOFgAAeYc6q5gPR1FR0blz53Je3eBnsHyGBQAABlFnFfPh6Nq16/79+3NeXWVo+fLlXn9FmDWXPCIEACAe1FnFfDiWLVs2ZsyYI0eOhN4Vt37o4sWL06ZNK2kwY8YM5/+D1ZiPdgEAAIOos4qZcPh/uvxyBT0J+wAAQBpQZ5W0hIPEAwAQHeqsYj4cV1xxhfExG4/EAwAQHeqsYj4cV1999b///W/jw+aAR4QAAMSDOquYD8fSpUvvu+++AwcO5PzFzFEg8QAARIc6q5gPBx9yBwAgbaizSlrCQeIBAIgOdVZJSzhIPAAA0aHOKoUcDh4RAgAQD+qskpZwkHgAAKJDnVUKORzcwQIAIB7UWSUt4SDxAABEhzqrpCUcJB4AgOhQZ5VCDgePCAEAiAd1VklLOEg8AADRoc4qhRwO7mABABAP6qyS9HDU1NRMnDixXbt2V1555fz583Meh8QDABAd6qyS9HA8+OCD48aNO9pg7Nixzz//fG7jkHgAAKJDnVWSHo727dsfO3bMmpYea8CAAcHX5REhAADxoM4qSQ+HNFjHjx+3pqXTKikpyW0cEg8AQHSos0rSwzFhwoTx48cfa/DAAw80b97cZ+EmvmLbZwAA0oY6qyQ9HKdOnZK+qrS0tGPHjgsXLrzqqqtyG4fEAwAQHeqskk/hePbZZ6XZym1dEg8AQHSos0rSwzF+/PhDhw7V1NSsXr26vLz8/ffft3+VNZc8IgQAIB7UWSXp4Vi1alWnTp2Ki4uHDx++fft2569C5ZLEAwAQHeqskpZwkHgAAKJDnVUKORw8IgQAIB7UWSUt4SDxAABEhzqrFHI4uIMFAEA8qLNKWsJB4gEAiA51VklLOEg8AADRoc4qhRwOHhECABAP6qySlnCQeAAAokOdVQo5HNzBAgAgHtRZJS3hIPEAAESHOqukJRwkHgCA6FBnlUIOB48IAQCIB3VWSUs4SDwAANGhziqFHA7uYAEAEA/qrJKWcJB4AACiQ51V0hIOEg8AQHSos0ohh4NHhAAAxIM6qyQ9HPv27bvrrrtKGsiE/JjbOCQeAIDoUGeVpIejX79+s2fPrmkwa9Ys+TH4utzBAgAgHtRZJenhKC4uPnv2rDV95swZ+TG3cUg8AADRoc4qSQ/H/fffP2/evNOnT9fU1MyZM0d+zG0cEg8AQHSos0rSw3H48OGuXbtaz/hk4qOPPvJZuImv2PYZAIC0oc4qSQ/HsGHDZs2aZX8GS37MbRwSDwBAdKizStLD0bp165w/g8UdLAAA4kGdVZIejn79+s2ZM8e6g/XUU0/179/f/lWoXJJ4AACiQ51Vkh6O3bt3jxgx4r8ajBw5cu/evfavaLAAAEgI6qxSyOHgESEAAPGgzippCQeJBwAgOtRZpZDDwR0sAADiQZ1V0hIOEg8AQHSos0pawkHiAQCIDnVWKeRw8IgQAIB4UGeVtISDxAMAEB3qrFLI4eAOFgAA8aDOKmkJB4kHACA61FklLeEg8QAARIc6qxRyOHhECABAPKizSlrCQeIBAIgOdVYp5HBwBwsAgHhQZ5W0hIPEAwAQHeqskpZwkHgAAKJDnVUKORw8IgQAIB7UWSXp4VBNUtu2bXMex+yOAQAAG3VWyadwLF26dOrUqcGX5w4WAADxoM4qeROOTz/9tKKi4vDhw7mtTuIBAIgOdVbJm3CsXLnyoYceynl1Eg8AQHSos0p+hOPChQvXXnttdXW1/2JNfMWzqwAApBB1VsmPcKxZs2b06NGNGYHEAwAQHeqskh/huP7667ds2RJ2Le5gAQAQD+qskgfh2LBhwy233JI5P1QuSTwAANGhzip5EI4BAwZUVVVlzqfBAgAgIaizSiGHg0eEAADEgzqrpCUcJB4AgOhQZ5VCDgd3sAAAiAd1VklLOEg8AADRoc4qaQkHiQcAIDrUWaWQw8EjQgAA4kGdVdISDhIPAEB0qLNKIYeDO1gAAMSDOqukJRwkHgCA6FBnlbSEg8QDABAd6qxSyOHgESEAAPGgzippCQeJBwAgOtRZpZDD0QQAAMTlcpf9ZCEcocVwDsVzmnIgidpEPFvhQBK1iXi2woEkbSscSEoQndAK5qzlQBK1iXi2woEkahPxbIUDSdpWOJCUIDqhFcxZy4EkahPxbIUDSdQm4tkKB5K0rXAgKUF0QiuYs5YDSdQm4tkKB5KoTcSzFQ4kaVvhQFKC6CBCvPyShowkDRlJGjICUziTECEuVUlDRpKGjCQNGYEpnEmIEJeqpCEjSUNGkoaMwBTOJESIS1XSkJGkISNJQ0ZgCmcSIsSlKmnISNKQkaQhIzCFMwkAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBQlCbNm0aOnRoUVFRWVnZ5MmTT548ac3fsGHDoEGDWrVqJfMnTZp09OjRzHUvXrw4ffr0kpKS0tLSmTNnyo/+8xFEY6JKRqLgE70m/yfsumSkMbyi53U1C7IuGUFANFgIavjw4Rs3bqytrT127FhlZeWoUaOs+UOGDFm/fn1NTc3Zs2cXLFggl63MdVesWNGnT58PGsjEypUr/ecjiMZElYxEIWv0fBosMhIFr+h5Xc2CrEtGEBANFnIhvVSbNm0y58sFq7i42P7RLif9+vWTy5k1LRP9+/f3n48gcogqGYlU1uhlNlhkJFJBoqeuZmQEptBgIRdVVVWDBw9WM8+dO7d48WLne0H7UtW2bdsTJ05Y08ePHy8pKfGfjyByiCoZiVTW6Pk0WGQkCkGip65mZASm0GAhtO3bt1dUVOzatcs50/p8SYcOHfbs2ZO5StOmTevr661pmWjWrJn/fATRmKiSkShkjZ7PI0IyEoWs0XO9mvmvS0YQEA0Wwtm8eXOXLl22bt2a+aszZ87Mnz9/4MCBmb/ivWAUGhNVMhKFHO5gZV2XjDSGf/R8rmY+65IRBESDhRDWrFnTqVOnbdu2eS0gPZbrZ7P4NEMUGhNVMhKFHD6DlXVdMtIYPtHLejUjI2gkGiwEtWTJEnm3t3PnTjV/woQJ1dXV9fX1Bw8enDJliutnsJYvX+76dzde8xFEDlElI5HKGj2fz2CRkSh4Rc/ranaJjMAcGiwE1SRDbW2tzF+3bl3v3r1btmxZXl5eWVl56tQp5yrWxMWLF6dNm1bSYMaMGc7/UcZ1PoLIIapkJFL+kXdyzvdfl4w0hlf0vK5ml8gIzKHBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQLyldcX1ob9ktogX9fts/qlAN9k7L+6OHHiRHl5uf8IAJBHuJwB+crrC2vDfkltkK/r9lnd5t8e+a/+6KOPLlq0iAYLQMHgcgYUAucX1jbmP0hUX9ft1Jj/RdN/9erq6u7du9fV1dFgASgYXM6AQuD8wtqcv+Ij8+u6nRrzPTD+q995550vvvhi1hEAII9wOQPynvrC2ty+pNb/67qzrn4pW3vktfrrr79+8803Wx/JosECUDC4nAH5LfMLa3O+g6W+rlt9dD3sHayAq/fq1eutt95yHQEA8heXMyCPuX5hbWM+g+X1dd1BVs/tM1iZX1riMwgA5AuuZUC+8vrC2rBfUuvzdd1BhrX590ZBviKX7gpAweByBuQrry+sDfsltT5f1+2UwzcZB1zdOU5jAgIAycHlDAAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMP+G32vi9xuQwhaAAAAAElFTkSuQmCC)
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